ai engineer

senior software engineer

software engineer

lead software engineer

platform engineer

engineering lead

9fin

<div>About 9fin
9fin is the AI platform powering global debt markets &mdash; the world&rsquo;s largest asset class at over $145 trillion.
Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.
Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.
We&rsquo;re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.<h2 class="jobSectionHeader">
The Opportunity</h2>
We are seeking an Engineering Lead II to lead three customer-facing engineering teams across Onboarding &amp; Activation, Mobile, and Office Productivity.
These teams are responsible for how customers discover, adopt, access, and engage with 9fin across multiple surfaces and workflows. Together they own critical parts of the customer journey including onboarding, permissions and entitlements, activation, notifications, discovery, mobile experiences, and productivity tooling such as Microsoft Office integrations.
You will lead multiple engineering pods (circa 7 engineers total), each with its own product area, roadmap, and technical challenges, while ensuring they operate as a connected ecosystem rather than independent products. Success in this role requires strong organisational leadership, technical depth, and the ability to identify opportunities for shared platforms, reusable services, and common architectural patterns across teams.
This role is ideal for a highly technical engineering leader who enjoys operating across multiple domains, helping teams solve complex architectural challenges, and creating alignment between product strategy, customer needs, and engineering execution.<h2 class="jobSectionHeader">
What You'll Work On</h2>
Every day is different, but here's a flavour of the kinds of challenges you'll be tackling:<ul><li>
Build and lead a high-performing team responsible for 9fin's mobile applications, mobile platform services, and productivity tooling.</li><li>
Coach and develop engineers across multiple disciplines, helping them grow their technical expertise, product thinking, and leadership skills.</li><li>
Shape the technical vision and roadmap for how 9fin integrates into customer workflows beyond the core web application.</li><li>
Partner with Product and Design to identify opportunities where mobile, AI, notifications, and productivity tools can create meaningful customer value.</li><li>
Guide architectural decisions across mobile applications, Backend-for-Frontend services, Office integrations, and workflow automation capabilities.</li><li>
Work closely with AI and Search teams to bring AI-native experiences into customer workflows, including search, recommendations, and intelligent productivity features.</li><li>
Collaborate with Platform, Data, Identity, Onboarding, Activation, and Permissions teams to ensure seamless customer experiences across products.</li><li>
Drive engineering excellence while maintaining a strong focus on customer outcomes, adoption, engagement, and retention.</li><li>
Help establish success metrics and use product analytics, customer feedback, and business outcomes to inform prioritisation and investment decisions.</li><li>
Hire, onboard, and develop exceptional engineering talent as these micro teams scale in future</li><li>
Stay engaged with technical design and architecture reviews while empowering engineers to take ownership of implementation details.</li><li>
Balance short-term product delivery with long-term platform investments that enable future innovation.</li></ul><h2 class="jobSectionHeader">
About You</h2>
This role will be a great fit if you:<ul><li>
Have experience leading high-performing product engineering teams and delivering customer-facing products at scale.</li><li>
Bring a strong technical background and remain comfortable discussing architecture, system design, API integrations, and modern application development.</li><li>
Have experience building or leading teams responsible for mobile applications, productivity tooling, desktop integrations, or workflow-centric products.</li><li>
Understand the challenges of API-first architectures and integrating multiple platform services into cohesive customer experiences.</li><li>
Have experience delivering AI-powered product experiences and understand how AI can be embedded into real user workflows.</li><li>
Are deeply product-minded and can translate customer problems, business goals, and technical constraints into effective solutions.</li><li>
Have experience working across multiple engineering domains and building strong partnerships with product, design, platform, AI, and data teams.</li><li>
Are passionate about coaching and developing engineers, helping them grow both technically and professionally.</li><li>
Use metrics, customer feedback, and business outcomes to guide decision-making and prioritisation.</li><li>
Have a track record of balancing engineering quality with fast, iterative delivery.</li><li>
Are comfortable operating in ambiguity and helping teams navigate evolving product and technical requirements.</li><li>
Care deeply about creating products that customers rely on every day.</li></ul><h3 class="jobSectionHeader">
Particularly Valuable Experience</h3><ul><li>
Building mobile-first or multi-surface product experiences.</li><li>
Microsoft Office Add-ins, excel integrations, or other productivity tooling.</li><li>
AI-native product development.</li><li>
Notification-driven products and engagement systems.</li><li>
Content-rich, workflow-heavy B2B SaaS products.</li><li>
Financial services, market data, research, or information products.</li><li>
Scaling teams through periods of rapid product and organisational growth.</li></ul><h2 class="jobSectionHeader">
Benefits</h2>
We&rsquo;re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial &amp; Insurance<ul><li>
Competitive Salary (our salary bands are benchmarked at the top end of the market)</li><li>
Equity</li><li>
Pension (your minimum contributions are 4% with 9fin matching up to 7%)</li><li>
Private Medical Insurance</li><li>
Paid sick leave with Income Protection for long periods of illness</li><li>
Group Life Assurance</li><li>
Season Ticket Loan &amp; Cycle to Work schemes</li></ul>
Time off<ul><li>
25 holiday days per year</li><li>
Local public holidays (with the ability to exchange them for alternative days)</li><li>
Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work</li><li>
Work abroad for up to 3 months a year</li><li>
1 month paid sabbatical after 5 years of service</li><li>
Enhanced parental leave &amp; flexible working arrangements available</li></ul>
Training &amp; Culture<ul><li>
Professional learning and development budget</li><li>
Quarterly team socials</li><li>
Summer and Winter company social events</li></ul>
9fin is an equal opportunities employer
At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you&rsquo;re excited about this role but your experience doesn&rsquo;t perfectly align with the job description, we encourage you to apply anyway. You might just be who we&rsquo;re looking for &mdash; either for this role, or perhaps another.</div>

Engineering Lead II

Toyota Connected

<div>Java Engineering Lead / Principal
Farringdon, London (Hybrid)
Permanent
Who are we?
Toyota Connected Europe wants to create a better world through connected mobility for all. We are a new company created to bring big data and a customer focus into all aspects of the mobility experience, so everyone&rsquo;s experience is more personal, convenient, fun and safe. We create and enable technologies to delight and simplify the lives of everyone who use our products and empower them to think of and use our services in new ways.
You will be joining us at the beginning of Toyota Connected Europe&rsquo;s journey of building our team and products. We are building teams to inspire, innovate and build technologies and products that are used by millions of people from all walks of life. We want every member of our team to live and breathe the start-up culture of Toyota Connected Europe and feel and act like an owner every day. This is an opportunity to have an immediate impact and voice: what you create today, you will see being used tomorrow. 
About the Role:
We are looking for an experienced Engineering Lead to join the team who will have a pivotal role in building core team capabilities and leading the design, development, implementation and documentation of large-scale, distributed software applications, systems and services. You will lead the development of platforms which will enable our vehicles to communicate to the cloud. The features you build will power driving experiences across the world. 
What you will do:<ul><li>
Define and drive the adoption of leading principles, practices, standards and technologies to develop high quality, robust and secure technology solutions</li><li>
Work closely with product and stakeholders to best solve business problems, shape and deliver features to customers, partner to set the optimum direction of the product roadmap and thrive as an independent, autonomous, creative thinker that can break out from conventional solutions</li></ul><ul><li>
Technical responsibility for software development across all stages and iterations. Plan and drive software construction activities, adopt and adapt appropriate software development methods, tools and techniques. Measure and monitor applications of project/team standards for software construction, including software security, contributing to the development of policies, standards, and guidelines</li><li>
Systems and software design of large or complex systems, undertake impact analysis on major design options and trade-offs, ensuring balance of functional and non-functional requirements and that appropriate methods, tools and techniques are applied effectively, making recommendations and assess and manage associated risks. Adopt and adapt system design methods, tools and techniques; contributing to development of system design policies, standards and selection of architecture components</li><li>
Plan and drive systems development projects which support the organisation's objectives, select, adopts and adapts appropriate systems development methods, tools and techniques. Ensure that stakeholders are aware of required resources and manage optimum availability and utilisation. Ensure projects are carried out in accordance with agreed architectures, standards, methods and tools and addresses security and privacy requirements</li><li>
Plan and drive activities to develop systems integration and build capabilities including automation and continuous integration, identify evaluate and manage the adoption of tools, techniques and processes to create a robust integration framework. Lead integration work in line with the agreed system and service design, assess risk and take preventative action.</li><li>
Contributes to identifying new areas of capability improvement within the organisation, select and prioritise improvement opportunities, generate buy-in and plans improvement activities justified by measurable benefits</li></ul><ul><li>
Determine development needs for a professional practice area, align development activities with organisational priorities, learning and development strategies and career pathways. Assist with the creation of development plans, ensuring alignment with professional development plans and career opportunities.</li><li>
Collaborate with other talented lead engineers in a team-oriented, agile software engineering environment, to build engineering and capability maturity</li><li>
Responsible for service delivery (build and run) from concept to code to production - availability, reliability, robustness and quality of projects and platforms</li><li>
Collaborate with peers (Product, Quality, Delivery, Operations) to drive operational quality (NFR&rsquo;s), ensuring observability and surfacing of key metrics</li><li>
Line management of team, influence, coach and lead team members through continuously sharing of knowledge, pair programming, code reviews, delivering feedback and improvement opportunities in technology - encouraging and developing good engineering practice and ways of working</li><li>
Evolve technology and team capabilities - define and own technology strategy and delivery via a balanced roadmap</li></ul> 
About you:<ul><li>
Great technology leader and team player, focused on achieving best team outcomes through coaching, collaboration and continuous improvement; experience of running and optimising distributed teams</li><li>
Highly technical seasoned technologist, with hands-on expertise, combined with strong communication skills who can articulate and deliver best fit solutions covering functional and non-functional requirements within constraints of time and team capacity/velocity</li></ul><ul><li>
Passion for excellence in engineering, cloud and secure practices &ndash; able to make positive impact at both the team and enterprise level for strategic initiatives</li><li>
Experience of building and designing event driven and/or streaming data services, IoT domain would be great but not essential</li><li>
Expert programming experience in Java (11+) and show a sense of ownership and pride in your code; make us believe you will excel. Experience with testing frameworks such as JUnit5, Mockito, Spring Integration</li><li>
Experience with at least one major cloud provider (ideally AWS), ideally provisioning infrastructure and services through code (IaC)</li><li>
Expertise and experience working with APIs (designing with OpenAPI is desirable) and web services, CI/CD pipelines (Git-lab desirable) and automated testing (BDD, Performance, Security), Kubernetes and cloud native practices, containerized workloads with tools such as Docker</li></ul><ul><li>
Experience and expertise of implementing best practice engineering patterns, including those used in highly scalable, distributed, and resilient systems</li><li>
Able to identify and champion areas of innovation in tooling and techniques and understand timing for adoption</li><li>
Experience of setting good practice of software architecture, design and implementation; ensure adherence and keeping up to date with industry trends</li><li>
Experience of setting standards and using tools to design, code, test, correct and provide documentation</li><li>
Passion for agile practices such as Kanban/Lean, DevSecOps, incremental delivery, continuous improvement and ability to cultivate a strong, generative team culture</li></ul>
Equal Opportunities, Inclusion &amp; Diversity We&rsquo;re committed to building a diverse and inclusive group of talent with a broad range of backgrounds, skills and capabilities and will give full and fair consideration to all applicants. We know that flexibility is key to success and our people work flexibly in many ways, so if this is important to you, please let us know. If you have a disability or any other additional need that requires consideration, accommodation or adjustment to the role or recruitment process, please do let us know.</div>

Engineering Lead / Principal

nSCALE

<div><h2 class="jobSectionHeader">About Nscale</h2>

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development.

Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.

<h2 class="jobSectionHeader">About the Role (Job Purpose)</h2>

We're looking for a Foundry Engineering Lead to serve as the technical authority for our Foundry implementation at Nscale&mdash;leading the design, development, and governance of the data platform that underpins our internal operations, workflows, and customer-facing capabilities.

This is a senior, high-impact role at the intersection of hands-on engineering and technical leadership. You'll set the architectural direction for Foundry, build and maintain the core data infrastructure, and work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to deliver reliable, scalable data products.

As the most experienced Foundry engineer in the team, you'll mentor and guide other engineers and analysts, establish standards and best practices, and drive the technical roadmap as the platform scales.

This role is ideal for someone who combines deep, hands-on Foundry expertise with the confidence to lead technically&mdash;someone who can architect at scale, get into the details when it matters, and bring others along with them.

<h2 class="jobSectionHeader">What You'll be Doing (Responsibilities)</h2>
<ul>
<li>Lead the design and architecture of Nscale's Foundry implementation, ensuring scalability, security, and long-term data integrity.
</li>
<li>Define the technical strategy for Foundry development, aligning with business objectives and the programme-wide data roadmap.
</li>
<li>Act as the technical authority on Foundry across the organisation&mdash;setting standards, driving architectural decisions, and owning the evolution of the platform.
</li>
<li>Conduct code reviews and ensure adherence to best practices in data modelling, pipeline development, and integration.
</li>
<li>Mentor engineers and analysts working within the Foundry environment, raising technical capability and quality across the team.
</li>
<li>Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.
</li>
<li>Define data models, schemas, and ontology structures that support operational workflows and use cases across the business.
</li>
<li>Clean, transform, and structure data to create a digital twin of Nscale.
</li>
<li>Implement permissioning and manage access and security of the Foundry implementation.
</li>
<li>Create trusted datasets and metrics that power workflows, internal tools, and customer-facing insights.
</li>
<li>Enable self-service analytics by establishing clear data contracts, documentation, and semantic layers.
</li>
<li>Build use cases including, but not limited to:
<ul>
<li>Capacity planning
</li>
<li>Cost optimisation
</li>
<li>Reliability analysis
</li>
<li>Customer reporting
</li>
</ul></li><li>Collaborate with Product and Commercial teams to translate real-world business questions into robust data solutions.
</li>
<li>Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.
</li>
<li>Codify data lineage, freshness, and consistency across systems.
</li>
<li>Establish and enforce governance standards around data versioning, access control, and compliance appropriate for a fast-scaling company.
</li>
<li>Oversee the integration of Foundry with existing systems and data sources, ensuring seamless data flows.
</li>
</ul><h2 class="jobSectionHeader">Profile and Required Skills</h2>
<ul>
<li>Deep, hands-on expertise in Palantir Foundry, including ontology modelling, pipeline development, data architecture, and large-scale platform design.
</li>
<li>Proven experience providing technical leadership&mdash;setting architectural direction, mentoring engineers, and defining standards in a data engineering context.
</li>
<li>Strong proficiency in Python, with experience applying data engineering frameworks (e.g. Spark, PySpark, Dask, pandas) to large, complex datasets.
</li>
<li>Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.
</li>
<li>Experience with Git-based development workflows, including code reviews, version control, and CI/CD pipelines.
</li>
<li>Excellent communication skills&mdash;able to explain complex technical concepts clearly to both technical and non-technical stakeholders.
</li>
<li>Comfortable operating in ambiguous, fast-moving environments where requirements evolve quickly.
</li>
<li>A bias toward ownership, pragmatism, and delivering useful solutions.
</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul>
<li>Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
</li>
<li>Familiarity with distributed systems, monitoring data, or usage-based billing data.
</li>
<li>Experience supporting customer-facing data products or platforms.
</li>
</ul><h2 class="jobSectionHeader">What We Can Offer You</h2>

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
<ul>
<li>Highly competitive package (base + equity) with reviews every 12 months.
</li>
<li>Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
</li>
<li>Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
</li>
<li>Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
</li>
</ul><h1 class="jobSectionHeader">Equal Opportunities Statement</h1>

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there's anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.<div>
For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.</div></div>

Foundry Engineering Lead

LSEG (London Stock Exchange Group)

<div>Manager, Data Engineering Lead
SwapClear and Listed Rates, LCH Ltd, London
<div><h1 class="jobSectionHeader">LCH, SwapClear and Listed Rates</h1></div>
LCH Ltd is an international multi-asset class central counterparty clearing house (CCP), part of the London Stock Exchange Group. LCH Ltd serves a broad range of exchanges and over-the-counter trading platforms providing critical risk management services. It has a unique membership model and its customers span the globe and include major financial groups (including the majority of the major investment banks), broker-dealers and specialist commodity houses and a wide range of buy-side and real-money firms including major asset managers and large hedge funds.
This role provides an opportunity to work on one of the most critical finance technology functions in the world. The LCH CCP is systematically significant to the world&rsquo;s financial markets which requires technology that has to be very resilient and with strong controls. LSE Group also provides a chance to work with other technology teams across the Exchange, and the rest of the Post Trade Businesses
LCH SwapClear &amp; Listed Rates is the major clearing business for LCH and LSEG, one of the company flagships and the global leader in IRS Clearing. SwapClear is the largest global Rates platform in the world with the highest standards of resilience. The Platform clears ~9m new trades per annum and supports various daily post-trade processing features, such as margin optimisations. 90% of the cleared interest rate swaps globally pass through the platform, and we regularly clear in excess of $3.5 trillion notional per day with over 60 member bank groups and over 1000 clients serviced.<div><h1 class="jobSectionHeader">
Role Profile</h1></div>
The Reporting &amp; Data Analytics platform underpins regulatory reporting, risk visibility, member reporting and internal analytics across SwapClear and Listed Rates. Given the scale, criticality and regulatory scrutiny of this data, the platform is subject to exacting availability, accuracy, lineage and governance requirements.
LCH has embarked on a strategic transformation of its Reporting &amp; Data Analytics architecture, moving from legacy on-premise Oracle / Informatica stacks to a cloud native, Snowflake based data platform. This solution will enable robust, performant reporting, self-service analytics, and new data distribution patterns for our members and clients.
Joining as a Senior Engineer, you will be accountable for setting the platform&rsquo;s technical direction, delivering Reporting &amp; Data Analytics features, and ensuring the ongoing stability of the platform during and beyond the transformation.
You will be a technology leader with deep hands-on data engineering experience, strong technical judgement, and the seniority to engage confidently with Group Architecture, Group Data Governance, and senior business partners.
You will lead a team of engineers to deliver the reporting and data analytics transformation, with responsibility for technical standards and professional development. You will ensure the team designs and builds solutions in line with our Engineering Principles, taking a data-driven approach, innovating with purpose, and acting as an owner.
You will ensure the platform evolves beyond migration into a scalable, governed platform that supports our members and clients, and internal partners. 
<div><h1 class="jobSectionHeader">Key Responsibilities</h1></div><ul><li>
Technology owner of the end-to-end data solutions for reporting and data analytics across SwapClear and Listed Rates.</li><li>
Lead the safe migration from legacy Oracle / Informatica platform to the target cloud architecture. Take accountability for successful legacy decommissioning, not just building the new platform.</li><li>
Lead the design, implementation and multi-year phased delivery for SwapClear and Listed Rates.</li><li>
Define and drive evolution of the Strategic Cloud data platform, ensure it is fit for purpose for SwapClear and Listed Rates use cases.</li><li>
Ensure the E2E platform meets availability, performance, resilience and security expected of a &quot;systemically important&quot; clearing house.</li><li>
Assists Product Owners and Delivery Leads with delivery planning of business goals/outcomes.</li><li>
Act as a senior technical partner to Group Architecture Authority, Group Data Governance and Product and business partners.</li><li>
Partner with Quality engineering to ensure that all aspects of the software development lifecycle is delivered to high levels of quality and using modern testing standards, automation and cloud-native practices.</li><li>
Build and maintain strong relationships with internal and external partners, using influence and trust to drive alignment, resolve challenges, and promote shared quality goals. 
</li></ul><div><h1 class="jobSectionHeader">
Required Experience, Skills and Traits</h1></div><ul><li>
15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high-quality solutions</li><li>
Shown leadership of enterprise scale Snowflake (or similar) data platform implementations.</li><li>
ELT data architectures, using dbt or similar</li><li>
Cloud data lake and data warehouse solutions</li><li>
Solid experience of data-centric solution using SQL, PL/SQL and Python</li><li>
Data warehouse modelling approaches</li><li>
Deep expertise in<ul><li>
Immutable, incremental and versioned data architectures</li><li>
Enterprise scale data modelling</li><li>
Data governance, lineage and control frameworks</li></ul></li><li>
Strong engineering background with the ability to engage deeply in design and implementation.</li><li>
Prior experience working with Informatica PowerCenter or similar solutions.</li><li>
Quality-first approach</li><li>
Seniority and credibility to influence group level architecture and governance bodies.</li><li>
Passionate about metrics driven approach and leading with data.</li><li>
Practical and relevant AI experience in data engineering / migrations use cases</li><li>
Detail oriented problem solver, comfortable &ldquo;diving-deep&rdquo;</li></ul>
Desired Experience, Skills and Traits<ul><li>
Experience operating in regulated, high availability environments.</li><li>
Degree in Computer Science, Software Engineering or equivalent.</li><li>
Knowledge and practical experience running technology both on prem and in cloud.</li><li>
Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines</li><li>
Good understanding of cyber security standards and practices and follows secure-by-design principle.</li><li>
Experience of working with agile frameworks like Scrum, Kanban.</li><li>
Background working in financial industry</li><li>
Experience of modern observability platforms e.g. DataDog</li></ul><div><h1 class="jobSectionHeader">
About the London Stock Exchange Group</h1></div>
LSEG&rsquo;s vision is to be the most trusted expert in global financial markets. This is achieved through leading the world in providing access to capital, helping customers optimise capital resources and promoting trusted and transparent environments and services for investment.
LSEG is a diversified international exchange Group that sits at the heart of the world's financial community. The Group operates through four key business divisions: Capital Markets (broad range of international equity, bond and derivatives markets); Post Trade (post trade and risk management services); Global Technology Services (high performance trading platforms and capital markets software); and Information Services (real-time and reference data products).
LSEG prides itself on operating a neutral, trusted, well-regulated and systemically important market infrastructure and does this within a fast paced, real-time and highly regulated environment. The Group is accountable to its shareholders, clients, regulators and the societies in which it operates and the Group Values and Behaviours underpin how the Group meets those accountabilities.
Career Stage:
Manager
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div>

Data Engineering Lead

BlackRock

<div><div><div><div>Locations: London, United Kingdom; Edinburgh, United Kingdom
Additional Locations: ED3 - 20 Brandon Street, Edinburgh</div></div></div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence &mdash; playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization.
He/She/They lead a multi-team organization of AI agent engineers and data scientists &mdash; setting technical and delivery direction, building the team&rsquo;s capability, and holding accountability for the production systems powering the commercialized knowledge products.
He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering &mdash; bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads.
He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering frameworks, authoring principles, and driving the culture of quality, accuracy, and ownership across the broader Product Lead community.
He/She/They are deeply experienced in the nuances of AI engineering, from agent workflow design and Vision AI evaluation to production validation, output-quality governance, and customer adoption of knowledge products. Beyond the delivery mandate, they are a builder of people and of technical leaders of tomorrow &mdash; developing high-performing teams and creating the conditions for others to do their best work.
This is a role for a leader who thinks in systems, acts with purpose, and measures their success not just by what ships, but by the commercial credibility and lasting organizational capability left behind.
Roles &amp; Responsibilities
<ul><li>Lead a team of AI agent engineers and data scientists &mdash; setting technical direction, managing delivery, driving performance, developing individual capability across the team, and building the talent bench across the function.
</li><li>Own end-to-end solution design &amp; delivery for complex AI features across multiple AI engineering squads building multi-agent, GenAI, and Vision AI workflows &mdash; ensuring consistency, quality, and strategic alignment at scale.
</li><li>Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity
</li><li>Run sprint planning, team stand-ups, and retrospectives; create the operating rhythm and working environment for engineers and data scientists to do their best work
</li><li>Proactively engage and act as the bridge between the Product Management, business stakeholders and AI engineering &mdash; influencing product vision &amp; feature prioritization (definition, scope, and sequencing) from deep understanding of technical possibility and commercial reality influence feature.
</li><li>Partner with Product Managers to shape feature roadmaps, bringing technical and AI-specific insight that meaningfully influences what gets built, when, and at what quality bar.
</li><li>Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.
</li><li>Define and enforce quality standards for user story delivery &mdash; including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements
</li><li>Lead post-implementation validation efforts &mdash; coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes
</li><li>Support product activation and customer adoption &mdash; translating delivery milestones into customer-facing readiness for data/knowledge product rollout
</li><li>Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products
</li><li>Lead complex, cross-functional AI initiatives from discovery through delivery &mdash; managing dependencies, risks, and stakeholder expectations across teams.
</li><li>Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.
</li><li>Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale
</li><li>Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization
</li><li>Build and mentor a high-performing team of AI agent engineers, and data scientists &mdash; driving hiring, onboarding, performance management, and career development at scale
</li><li>Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales
</li></ul>Required Skills &amp; Experience
Technical Skills
<ul><li>Minimum 6-8 years of experience in AI Engineering Delivery Lead, or AI Program Lead, or Engineering Manager roles, with at-least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization.
</li><li>Deep expertise and Proven experience in AI solution design and technical scoping for AI-driven features &mdash; ideally including GenAI, LLM-based capabilities, Vision AI, and multi-agent workflows.
</li><li>Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks, backlog management, sprint planning, and Agile delivery tooling at scale (Jira, Confluence, Miro, or equivalent)
</li><li>Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour
</li><li>Fluency in the AI product development lifecycle &mdash; extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring
</li><li>Solid understanding of evaluation approaches for AI outputs &mdash; accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking
</li><li>Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.
</li><li>Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products
</li><li>Deep understanding of responsible AI principles (accuracy governance, data provenance, and user trust as they relate to commercialized AI outputs) and their practical implications for feature design, accuracy governance, customer trust, and regulatory considerations
</li></ul>Non-Technical &amp; Interpersonal Skills
<ul><li>Executive-level communication skills &mdash; able to operate fluidly between engineering stand-ups and boardroom strategy conversations.
</li><li>Excellent communication and stakeholder management skills &mdash; able to drive alignment across product, commercial, engineering, and domain-expert audiences
</li><li>Strong strategic thinking &mdash; able to connect present engineering decisions &amp; strategy to long-term commercial positioning of AI knowledge/data products.
</li><li>Strong analytical and structured problem-solving approach &mdash; breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward
</li><li>Emotional intelligence and people-first leadership style &mdash; able to inspire, coach, and hold a diverse team of engineers and scientists to a high bar; earns trust quickly across diverse stakeholder groups including customers, commercial, and technical teams.
</li><li>Business acumen &mdash; understands the fundamentals of financials services industry and/or software/data product business, and how product output quality &amp; timeliness directly affects customer trust and revenue.
</li></ul>Leadership &amp; Ownership
<ul><li>Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialists in an AI or data product context at scale.
</li><li>Demonstrable experience influencing product vision and feature strategy at the leadership level &mdash; shaping what gets built, not just how.
</li><li>Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.
</li><li>Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.
</li><li>Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.
</li><li>Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability &mdash; or team sustainability &mdash; are at risk
</li><li>Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.
</li><li>Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.
</li><li>Ability to hold the bar on quality and delivery while advocating for the team &mdash; protecting focus, escalating constraints, and making hard prioritization calls
</li><li>A builder-of-builders mindset &mdash; measures success by the capability and culture left behind, not just the features shipped.
</li></ul>What This Role Offers
<ul><li>Direct leadership of a high performing team of AI agent engineers and data scientists working on commercially impactful AI systems &amp; knowledge product portfolio &mdash; with meaningful autonomy and ownership.
</li><li>Direct influence over organizational direction &mdash; working closely with executive leadership on product vision, hiring, and operating model decisions.
</li><li>A meaningful seat at the table in shaping product &amp; engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities
</li><li>A platform to build and lead a world-class organization of AI engineers, data scientists, and Product Leads &mdash; creating lasting capability in commercialized AI.
</li><li>Direct exposure to emerging AI capabilities &mdash; multi-agent orchestration, GenAI, Vision AI &mdash; applied to real commercial problems at scale.
</li></ul><ul><li>A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.
</li></ul>Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. 
 
Guidance on AI use for candidates 
 
At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided guidance( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. 
 
 
About BlackRock 
 
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. 
 
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. 
 
To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window). 
 
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div><div>Job Requisition #
 
R264955</div></div>

AI Data Engineering Lead, Vice President

MUFG

<div>Company Description 
About MUFG Investor Services:
MUFG Investor Services provides asset servicing solutions to the global investment management industry. Leveraging the financial and intellectual capital of MUFG &ndash; one of the largest banks in the world with $2.8 trillion in assets &ndash; we provide clients access to a range of leading solutions from fund administration, middle-office outsourcing, custody, foreign exchange, trustee services and depository to securities lending and other banking services.
With a diverse and dynamic network of offices across the globe, MUFG Investor Services provides challenging and rewarding careers. We achieve this by offering continuous learning and development, collaborative team work environment, promotion of work-life integration, and exposure to a wide variety of work.
Imagine your future at MUFG Investor Services where you can grow professionally, in a diverse and inclusive workplace that rewards your contribution. 
Job Description 
As an Azure Cloud Engineering Team Lead (L3), you will play a key role in supporting and evolving the firm&rsquo;s cloud infrastructure, with a primary focus on Microsoft Azure, Microsoft 365, and Citrix Cloud platforms. You will be responsible for ensuring the resilience, performance, and security of critical cloud services, while also contributing to the automation, scalability, and modernization of IT operations. This role requires a strong technical foundation, a proactive mindset, and the ability to collaborate across global teams to deliver reliable and efficient cloud-based solutions in a regulated financial environment.
You Will:<ul><li>
Monitor, diagnose and resolve problems within the Microsoft Azure/O365 environment and Key IT systems to ensure systems are stable and performing efficiently.</li><li>
Manage and resolve high-impact incidents under pressure, ensuring minimal disruption to business operations.</li><li>
Perform day-to-day administration and support of Azure and Microsoft 365 environments, including Exchange, Security, Licensing, and Endpoint Management.</li><li>
Administer and develop across multiple infrastructure platforms including Azure, O365, AWS, and Citrix, ensuring optimal performance and integration.</li><li>
Design, implement, and maintain CI/CD pipelines using Azure DevOps, YAML, and Git workflows to support continuous delivery.</li><li>
Apply Infrastructure as Code (IaC) practices using tools like Terraform, ARM templates, or Bicep to automate infrastructure provisioning.</li><li>
Identify opportunities to automate and streamline IT operations using PowerShell and workflow tools.</li><li>
Provide technical mentorship to L0/L2 support staff, fostering knowledge sharing and upskilling within the team.</li><li>
Maintain accurate technical documentation, including SOPs and project plans, to support operational transparency and compliance.</li><li>
Demonstrate flexibility in working hours to support global teams and projects across APAC and North America.</li><li>
Exposure to multi-cloud environments with AWS experience desirable, particularly in infrastructure automation and DevOps practices.</li></ul> 

Qualifications 
You Have (Required):<ul><li>
Strong experience with Microsoft Azure and Microsoft 365</li><li>
Identity &amp; access management (Azure AD, MFA, Conditional Access)</li><li>
Exchange Online, SharePoint, and Teams administration</li><li>
Endpoint management (Intune and/or SCCM)</li><li>
Microsoft Defender security suite</li><li>
Windows server administration (2012&ndash;2022) and Windows 10/11 environments</li><li>
Group Policy and enterprise device configuration</li><li>
Experience supporting cloud-based infrastructure and services</li><li>
Backup and recovery solutions (Azure Backup, Veeam or similar)</li><li>
Understanding of networking concepts (VPN, Wi-Fi, basic routing)</li></ul>
Nice to Have:<ul><li>
Experience with Citrix / VDI technologies (including AVD)</li><li>
Exposure to AWS or multi-cloud environments</li><li>
Infrastructure as Code or automation experience</li><li>
Azure DevOps / CI-CD pipelines</li><li>
Scripting or automation (PowerShell)</li><li>
macOS and mobile device management (Jamf, iOS, Android)</li><li>
Enterprise tools (e.g., Jira or similar ticketing systems)</li><li>
Experience with networking platforms (e.g., Meraki, Palo Alto)</li><li>
System migrations and cloud transformation projects</li><li>
Video conferencing / AV technologies</li></ul>
Academic Qualification/Work Experience:<ul><li>
Bachelor's/Associates degree in computer engineering. Computer science, relevant professional Microsoft, and/or AWS accreditations (AZ-900, AZ-104, SC-300, MS-700, AWS Cloud Practitioner) or relevant years of experience</li><li>
Experience leading or mentoring technical teams, including coaching engineers, supporting performance development, and fostering a collaborative, high-performing team environment</li><li>
5 years of experience working within IT systems/Support in a senior/lead capacity with the last few years working with Cloud Technologies.</li></ul> 

Additional Information 
MUFG Investor Services provides all of its employees with an extremely attractive compensation package. In addition to base salary, there is a group medical insurance scheme, group pension scheme, reimbursement of professional subscriptions, paid holidays and assistance towards gym memberships. 
 
We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted. If you are contacted for a job opportunity, please advise us of any accommodations needed to ensure fair and equitable access throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only to provide an accessible candidate experience.
At MUFG Investor Services, we use Artificial Intelligence (AI) tools to help identify skills and experience that align with role requirements. All AI recommendations are reviewed by our recruitment team before any decisions are made. 
 
MUFG is an equal opportunity employer.</div>

Azure Cloud Engineering Team Lead

EDF Energy Limited

<div><div><div>About the Role</div> 
Ready to lead engineering that powers critical financial systems and data at scale? Looking to shape technical direction, mentor teams, and deliver real business impact in a fast-moving environment? At EDF, Success is Personal &ndash; and this is your chance to grow your leadership and engineering career your way.
The Opportunity
As a Lead Engineer within Finance Systems and Analytics, you&rsquo;ll play a key role in leading the engineering capability behind critical platforms that underpin revenue, risk, and settlements across our Customers business. You&rsquo;ll guide teams delivering high-impact systems, while supporting our journey towards An Electric Britain.
Alongside a competitive salary and potential for an annual bonus, this is a flexible role with occasional travel to our #Exeter or #London offices. You&rsquo;ll benefit from a hybrid approach, giving you the freedom to work in a way that suits you while staying connected to your team.
You&rsquo;ll lead technical delivery across multiple products, shaping best practice in cloud, DevOps, and agile delivery. From mentoring engineers to driving innovation and quality, you&rsquo;ll influence both team performance and wider engineering communities, building solutions that deliver real value.
Who You Are
As a Lead Engineer (FS&amp;A), you&rsquo;re a confident technical leader who combines strong engineering expertise with the ability to guide teams and influence stakeholders. You bring a delivery mindset, enjoy solving complex problems, and take ownership of outcomes. To be shortlisted, you need to offer&hellip;<ul><li>
Proven experience leading small to medium-sized engineering teams in a fast-paced agile environment</li><li>
Strong expertise in cloud architectures, particularly AWS, supported by relevant certifications</li><li>
Hands-on experience with server-side programming using languages such as Python, Java, Kotlin, or NodeJS</li><li>
Experience designing and building REST APIs and integrating third-party services</li><li>
Commercial experience with React or React Native, alongside modern state management libraries</li><li>
Strong experience with CI/CD tooling such as Jenkins, GitHub, or Terraform</li><li>
Knowledge of event-driven, serverless, and loosely coupled architectures</li><li>
Experience applying test-driven or behaviour-driven development practices</li><li>
Proven experience working within the energy industry</li><li>
Ability to communicate complex technical concepts clearly to non-technical stakeholders</li></ul>
What You&rsquo;ll Be Doing<ul><li>
Leading the day-to-day engineering capability and technical delivery across finance systems and analytics products</li><li>
Driving the design, development, and optimisation of cloud-based and data-intensive platforms</li><li>
Mentoring engineers and fostering a culture of quality, collaboration, and continuous improvement</li><li>
Ensuring robust CI/CD pipelines, testing practices, and deployment standards are in place</li><li>
Collaborating with product owners, architects, and stakeholders to deliver value-focused solutions</li></ul>
Pay, Benefits and Culture
Alongside a competitive salary and potential for an annual bonus, and a market-leading pension scheme, your package will include customisable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days, and more.
At EDF, we believe there are multiple definitions of what it means to succeed. That&rsquo;s why we offer you the freedom to develop a career that&rsquo;s unique to you. Here, Success is Personal &ndash; it&rsquo;s your journey, powered by us.
Everyone is welcome at EDF; we&rsquo;re committed to building a workforce that reflects gender balance, social mobility, and inclusion of minority ethnic backgrounds, LGBTQ+ communities, and those with disabilities. As a Disability Confident employer, we will support applicants requiring adjustments.
Closing date for applications is Sunday 12th July 2026<div></div> 
Success is Personal. It's your journey, powered by us. Join us and drive the transition towards An Electric Britain.</div></div>

Lead Engineer - FS&A

Explore 378+ Engineering lead in London this July. Find roles across top companies and apply now to boost your career.