analytics architect

Lendable

<div><h2 class="jobSectionHeader"><b>About Lendable</b></h2><p>
Lendable is on a mission to build the world's best technology to help people get credit and save money.<b> </b>We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:</p><p></p><ul><li><p>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</p></li><li><p>
Among the<b> fastest-growing tech</b> companies in the UK</p></li><li><p>
Profitable since <b>2017</b></p></li><li><p>
Backed by top investors including <b>Balderton Capital </b>and<b> Goldman Sachs</b></p></li><li><p><b>
Loved by customers</b> with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</p></li></ul><p></p><p>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch:<b> loans, credit cards and car finance</b>. We get money into our customers&rsquo; hands in minutes instead of days.</p><p></p><p>
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks <b>with dated systems and painful processes.</b></p><p></p><h2 class="jobSectionHeader"><b>
Join us if you want to</b></h2><ul><li><p><b>
Take ownership </b>across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</p></li><li><p><b>
Work in small teams of exceptional people,</b> who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</p></li><li><p><b>
Build the best technology in-house</b>, using new data sources, machine learning and AI to make machines do the heavy lifting</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.</p><p>
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.</p><p>
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.</p><p>
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.</p><p></p><h2 class="jobSectionHeader"><b>
What you'll be doing</b></h2><ul><li><p>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</p></li><li><p>
Championing standards and contributing to the improvement of our analytics engineering culture.</p></li><li><p>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</p></li><li><p>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our modern data stack</b></h2><p>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.</p><p></p><h2 class="jobSectionHeader"><b>
What we're looking for</b></h2><p>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.</p><p>
More specifically, we&rsquo;re looking for:</p><ul><li><p>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</p></li><li><p>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</p></li><li><p>
Experience with Snowflake or another modern cloud data warehouse.</p></li><li><p>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</p></li><li><p>
A collaborative working style and clear communication across technical and non-technical stakeholders.</p></li><li><p>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Interview process</b></h2><ul><li><p>
Initial call with an engineer</p></li><li><p>
15 minute Cognitive Assessment</p></li><li><p>
Onsite or Video Interview lasting 90 minutes, comprising of:</p><ul><li><p>
Introduction of the team and kind of work you could be doing daily</p></li><li><p>
Interactive architecture/design exercise</p></li><li><p>
Questions you may have about the company, role, etc.</p></li></ul></li><li><p>
A 60 minute chat with this role's primary stakeholders</p><ul><li><p>
Cultural/behavioural questions</p></li><li><p>
Product mindset and ability to collaborate and communicate</p></li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b>
Life at Lendable</b></h2><ul><li><p><b>
Winning team: </b>the opportunity to scale up one of the world&rsquo;s most successful fintech companies</p></li><li><p><b>
Flexible working: </b>flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</p></li><li><p><b>
Socials &amp; connection: </b>opportunities and events to come together, socialise, and get to know each other beyond the office walls</p></li><li><p><b>
Health coverage:</b> support for your physical and mental wellbeing, including private health cover</p></li><li><p><b>
Retirement &amp; savings:</b> long-term financial wellbeing through retirement savings plans</p></li><li><p><b>
Employee referral programme:</b> earn a competitive bonus when you refer successful new team members</p></li><li><p><b>
Office meals &amp; snacks:</b> enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</p></li><li><p><b>
Sustainable commuting:</b> cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</p></li></ul><p><b><i>
Please note:</i></b><i> The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.</i></p><p>
Check out our blog!</p></div>

Analytics Engineer

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Capgemini Invent: Why Join us?</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>Our Analytics &amp; AI (A&amp;AI) Capability Unit is the home of our experts in data &amp; AI strategy, innovation, transformation and enablement; supporting clients in using advanced data, analytics and AI solutions to solve complex business problems.
</p><p>This is a high profile role in Capgemini Invent, contributing to leadership across both across the Analytics &amp; AI capability unit and across our client engagements. As a Director in our team, you will be responsible for new business focused on clients in all sectors and selling consulting opportunities in excess of &pound;2m per year. You will be expected to contribute to thought leadership and team management activities across multiple capability areas but with a focus on AI Governance and Trust including regulation, ethics, risk management, controls and compliance.</p>
</div></div><div></div><div><div><p>In this role, you&rsquo;ll help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include:</p>
<p>Working as part of the Capgemini Invent A&amp;AI leadership team to grow our AI Governance &amp; Trust capability and develop our AI regulation, ethics and compliance offers
</p><p>Managing the performance and grow teams of data &amp; AI consultants with AI Governance expertise who work cross-sector, supporting individuals&rsquo; career growth, guiding L&amp;D priorities and driving recruitment</p>
<p>Building long-lasting senior client relationships and creating a sustainable business development pipeline</p>
<p>Inspiring our clients on innovating with AI safely with the right governance and controls in place</p>
<p>Helping our clients to design their AI strategies and adopt robust AI governance frameworks</p>
<p>Selling, leading, and managing large delivery programmes with data and AI at the centre</p>
<p>Creating thought leadership and new propositions that reflect Capgemini Invent&rsquo;s position as a leading AI, data science and analytics consultancy</p>
</div></div><div></div><div><div><p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<p>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.</p>
<p>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</p>
<p>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE
</b></h2></div><div><p>You will already be a leader within AI Governance &amp; Trust consulting and you want to take your career to the next level. You will have experience at a similar level leading data and AI teams within a large consultancy, and you will have relationships at senior levels in multiple client organisations.</p>
<p>Specifically, you will bring:</p>
<ul><li>Good existing relationships with Senior Clients, focussed on the areas responsible for AI Governance &amp; Trust
</li><li>Experience of defining data strategies and shaping the AI or data science services and solutions that deliver the client&rsquo;s vision, integrated across technology and business functions</li>
<li>A deep understanding of trends in AI and how these are impacting our clients in terms of Governance &amp; Trust
</li></ul></div></div><div></div><div><div><p>You will also require:</p>
<ul><li>Strong management consulting experience with proven success in AI, Data Science or Analytics and Governance, Regulation and Compliance</li>
<li>A proven track record in new business development / account management in clients across the full sales lifecycle; you will have a personal sales target of circa &pound;2m per annum of consulting business.</li>
<li>Proven ability to be successful in a matrixed organisation and to enlist support and commitment from peers in selling and delivering consulting solutions.</li>
<li>Credibility and personal impact; you will be respected by colleagues and clients</li>
<li>Versatility and collaborative in style, empathetic in nature, confident in content and focussed on outcomes at all levels in the client organisation.</li>
<li>A passion to shape, motivate and deliver AI, Data Science and Analytics work</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW
</b></h2></div><div><p>At Capgemini we don&rsquo;t just believe in Diversity &amp; Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
<p><b>CSR:</b></p>
<p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI
</b></h2></div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.</p>
<p><b><i>Capgemini is proud to be a </i></b><b><i>Disability Confident Employer (Level 2) </i></b><i>under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</i></p>
<ul><li><i>Declare they have a disability, and</i></li>
<li><i>Meet the minimum essential criteria for the role.</i></li>
</ul><p><i>Please opt in during the application process.</i></p></div></div></div></div></div></div></div>

Director AI Governance

JaJa Finance Ltd

<div><p><b>About Jaja</b></p>
<p><b>
Our Mission: </b>Empowering our customers to buy, borrow, and build&mdash;driven by tech, fuelled by data, and built for the future.</p>
<p><b>
Our Company Values</b>: Care Deeply, Adapt &amp; Thrive, Challenge everything, Go for it! Own it, Make it Simple</p><p></p><p><br>
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making.</p><br>
<p>
We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as we say it, Make Simple.</p><br>
<p>
We will delight our customers &ndash; making the customer experience simpler, more enjoyable, more intelligent &ndash; treating customers fairly and giving them more control of their money.</p><p></p><p><b><br>
Why Join Us?</b></p>
<p>
This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.</p>
<p>
We have a collaborative team structure fueled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself!</p><p></p><p><b><br>
About The Role</b></p>
<p>
This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team&rsquo;s delivery.</p><br>
<p></p>
<p><b>
Key responsibilities</b></p>
<ul>
<li>Supporting the delivery of new data models in a modern technology stack</li>
<li>Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions</li>
<li>Developing existing data models in line with product and engineering</li>
<li>Upholding the data governance standards</li>
<li>Supporting the BI and Analytics teams with key data sources required for their deliveries</li></ul><br>
<p></p>
<p><b>
About You</b></p><br>
<p><b>
Essential</b></p>
<ul>
<li>SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake</li>
<li>Using transformation tools, we use Coalesce.io but DBT would also set you up for success</li>
<li>Modelling structured and unstructured data</li>
<li>Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up</li>
<li>Strong problem solving and attention to detail</li>
<li>Excellent communication and collaboration skills</li></ul><br>
<p></p>
<p><b>
Desired</b></p>
<ul>
<li>Experience with data quality frameworks</li>
<li>Familiarity with finance, credit and associated reporting</li>
<li>Experience of working with Product and Engineering teams</li>
<li>Knowledge of testing standards and version control</li>
<li>Experience with orchestration</li></ul><p><br>
<br>
</p><p></p><br>
<p><b>What's in it for you?</b></p>
<ul>
<li>The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever</li>
<li>Competitive salary</li>
<li>Pension contributions, including Salary Exchange facility</li>
<li>Annual bonus potential</li>
<li>Private medical cover provided by Vitality (optional benefit)</li>
<li>25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).</li>
<li>Your birthday off each year as an additional day's holiday</li>
<li>4x life insurance cover</li>
<li>Access to our confidential Employee assistance programme</li></ul></div>

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge.
</p></div><div><p>Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.
</p></div><div><p>Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.
</p></div><div><p>Validation Rules &amp; Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems.
</p></div><div><p>Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly.
</p></div><div><p>Collaboration &amp; Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation.
</p></div><div><p>Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows).
</p></div><div><p>Standards &amp; Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).
</p></div><div><p>Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards
</p></div><div><p>specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.
</p></div><div><p>Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.
</p></div><div><p>Data Modelling &amp; Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.
</p></div><div><p>Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)
</p></div></div><p>Nice to have
</p><div><div><p>Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data
</p></div><div><p>AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.
</p></div><div><p>Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.
</p></div><div><p>Tools &amp; Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>London, United Kingdom of Great Britain and Northern Ireland
</p></div><p>Req. VR-119923
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>03/07/2026
</p></div><div><p>Req. VR-119923</p></div></div></div><p></p>

Semantic AI/ML Architect

Bloomberg

<div>
 Location
 <br/>
 <br/>
 London
 <br/>
 <br/>
 Business Area
 <br/>
 <br/>
 Engineering and CTO
 <br/>
 <br/>
 Ref #
 <br/>
 <br/>
 10049302
 <br/>
 <br/>
 <strong>
  Description &amp; Requirements
  <br/>
  <br/>
 </strong>
 Bloomberg&rsquo;s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
 <br/>
 <br/>
 Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
 <br/>
 <br/>
 Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
 <br/>
 <br/>
 We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
 <br/>
 <br/>
 As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
 <br/>
 <br/>
 <strong>
  Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and diagnose multi-tenant AI platform systems
  </li>
  <li>
   Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
  </li>
  <li>
   Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
  </li>
  <li>
   Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
  </li>
  <li>
   Design CI/CD automation frameworks that incorporate regulatory requirements
  </li>
  <li>
   Develop cloud-native deployment patterns for AI systems across environments
  </li>
  <li>
   Troubleshoot and debug user issues
  </li>
  <li>
   Provide operational and user-facing documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are looking for a Senior ML Platform Engineer with:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
  </li>
  <li>
   Experience designing cloud-native, distributed platforms
  </li>
  <li>
   Strong knowledge of Kubernetes, Argo, and container orchestration technologies
  </li>
  <li>
   Previous experience with modern CI/CD tools and GitOps workflows
  </li>
  <li>
   Familiarity with implementing automation for model development lifecycles
  </li>
  <li>
   A proactive mentality and ability to collaborate with peers, stakeholders, and management
  </li>
  <li>
   A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
  </li>
  <li>
   An understanding of Computer Science fundamentals such as data structures and algorithms
   <br/>
   <br/>
  </li>
 </ul>
 We give back to the technology community and you can read more about our outreach at:
 <br/>
 <br/>
 If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
 <br/>
 <br/>
 Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
</div>


Senior ML Platform Engineer - Artificial Intelligence

Quantspark

<div><p><b>Title: Engineering Manager</b><br>
<b>Reporting to:</b> Head of Engineering<br>
<b>Office Environment:</b> Hybrid, Central London Office<br>
<b>Type:</b> Full time, Permanent</p><p></p><h2 class="jobSectionHeader"><b><br>
About QuantSpark</b></h2><p>
QuantSpark is an award-winning AI and data consultancy, but we don't just advise, we build. We help businesses in the UK and beyond, as well as governments, apply data, analytics and AI for measurable human and societal benefit, not just profit. This means tackling real-world challenges, innovating at scale, and forging solutions that deliver real impact to our clients.</p><p>
Our culture is built on meritocracy of ideas, where the best thinking wins regardless of seniority, a place where intelligent failure is treated as something to learning form, and where we seriously invest in people with opportunities for career acceleration, ownership over projects, and a personalised &pound;6K per year L&amp;D budget. We&rsquo;ve recently been named as finalist in the Culture 100 Awards, shortlisted from more than 5,200 UK companies, with 93% of our team rating their experience here positively in May 2026.</p><p></p><h2 class="jobSectionHeader"><b><br>
Our Client Portfolio</b></h2><p>
We work with prestigious, high-growth organisations and sector leaders, in the UK and internationally:</p><ul><li><b>Financial Services &amp; Private Equity:</b> Delivering AI-powered analytics, risk, and operational tools.</li><li><b>Retail &amp; Consumer Brands:</b> Optimising pricing, inventory, and engagement through actionable analytics.</li><li><b>Asset Management:</b> Developing investment infrastructure and automated risk management systems.</li><li><b>Public Sector:</b> Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation.</li><li><b>SaaS &amp; Manufacturing:</b> Driving technological transformation and efficiency across verticals.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
The Role</b></h2><p>
As Engineering Manager, you'll lead a team of 4 Data Engineers, 1 AI Engineer and 1 QA, and sit on the wider management team. A good portion of your week will be the coaching and line-managing of that team, growing people, unblocking them and holding the bar on quality. The rest will be spent delivering across a mix of client engagements and our own product development. This is a player-coach role, not pure people management, you'll stay hands-on enough to make architectural calls, review code and step in on the hard problems when needed.</p><p>
Using AI well is core to the job, knowing where it genuinely adds value, where it doesn't, and how to embed it sensibly into how your team delivers and what you build for clients, without cutting corners on quality, security or judgement.</p><ul><li>Oversee and architect delivery of multiple software and data projects, ensuring scalability, security, and maintainability.</li><li>Guide and mentor engineers from junior to senior level, fostering technical growth and a high-performance culture.</li><li>Champion the practical, responsible adoption of AI across engineering workflows, tooling, and client solutions.</li><li>Partner with product managers and technical leads on deliverables, resourcing, and timelines.</li><li>Drive innovation in engineering processes, promoting best practices, DevOps, and technical standards.</li><li>Operate calmly between competing priorities, making clear trade-offs across delivery, people, and quality.</li><li>Engage with client stakeholders, managing partnerships and ensuring solutions are adopted.</li></ul><p></p><p><b><br>
You Should Hit the Apply Button If</b></p><p>
We're a lean consultancy scaling deliberately. A lot of what you'd take for granted at a larger firm is still yours to build such as engineering standards, delivery processes, tooling, the shape of the team itself. We move fast, we take on hard problems that often the bigger consultancies haven&rsquo;t been able to solve. You will have real autonomy and a genuine say in how engineering works at QuantSpark, but you'll also be building the road as you drive it. That calls for someone comfortable with ambiguity, willing to make the call on imperfect information, and is ready to get hands on, helping to build the organisation.</p><ul><li>You excel at managing teams, understand 'culture add' and how to inspire and coach a team to do their best work.</li><li>You bring hands-on experience across software and data &mdash; for example Python (Flask/Django), React.js, and analytics/data engineering (building pipelines, models, and data products).</li><li>You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure).</li><li>You understand the value of AI and know how to use it wisely, helping your team pick the right tools for the right problems.</li><li>You've managed cross-functional teams, mentored engineers, and championed technical and professional growth.</li><li>You can hold competing priorities at once and still keep a team focused, motivated, and performing.</li><li>You're passionate about DevOps and modern tooling, continuously pushing on process and code quality.</li></ul><p></p><p><b><br>
I Want to Work for a Company That</b></p><ul><li>Balances visionary leadership with hands-on technical impact.</li><li>Prioritises impactful work and an innovative culture.</li><li>Treats AI as a tool to be used thoughtfully, not a box to be ticked.</li><li>Builds solutions that create lasting impact in both business and society.</li></ul><p></p><p><b><br>
I'm Looking to Work With</b></p><ul><li>Smart, collaborative, cross-disciplinary teams solving complex business and technical problems.</li><li>Partners and clients who value AI and data-driven transformation.</li><li>Leadership that inspires, trusts, and invests in emerging talent.</li></ul><p></p><p><b><br>
In 3&ndash;5 Years I Want to Be</b></p><ul><li>Recognised for delivering impactful work that matters to clients and the business.</li><li>A recognised mentor who's grown talented engineers and future leaders.</li><li>An influential leader connecting strategic decisions with the smart use of technology and AI.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Perks &amp; Benefits</b></h2><ul><li>&pound;6,000 annual training/conference allowance</li><li>Matched pension contributions up to 6%</li><li>Private Healthcare (Vitality)</li><li>EMI share options&mdash;own a part of QuantSpark&rsquo;s growth</li><li>Work abroad up to one month every year</li><li>25 days annual leave (+ bank holidays with the option to buy/sell up to 5 days)</li><li>Annual volunteering day</li><li>Cycle-to-work scheme</li><li>Central London office with socials &amp; events</li><li>Discounts with major retailers, tech, fitness, travel partners</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Equal Opportunities</b></h2><p>
We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger&mdash;both as people and as a business. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.</p></div>

Engineering Manager

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Senior Principal Agentic Platforms Architect<p></p>
Overview
<br>
<br>
The AI Center of Excellence is seeking a Senior Principal Agentic Platforms Architect to lead the technical vision, architecture, and hands-on development of Mastercard's enterprise agentic AI platforms. This role demands deep, demonstrated expertise in building and shipping production-grade AI and agentic systems at enterprise scale, combined with the architectural rigor required to operate within one of the most highly regulated and security-conscious environments in the world. Reporting to senior leadership, you will own the E2E platform architecture for agentic AI systems, from runtime orchestration and governance infrastructure through to production deployment and operational lifecycle management. This is not a strategy-only role. You will write code, review code, and hold the team to the highest standards of engineering excellence. The right candidate has spent their career building AI systems that run in production, not prototypes, not proofs of concept, but systems that operate at scale, under load, and under scrutiny<br>
<br>
Role
<br>
<br>
<ul><li>Serve as the principal technical authority for agentic AI platform architecture, owning the design and evolution of runtime environments, governance layers, orchestration engines, and multi-tenancy infrastructure that support enterprise-grade AI agent deployment</li></ul><br>
<ul><li>Lead hands-on architecture and development of agentic systems, including agent orchestration frameworks, tool and model integration layers, policy enforcement engines, guardrail systems, behavioral monitoring pipelines, and evaluation infrastructure</li></ul><br>
<ul><li>Design and implement scalable, resilient platform architectures that support multi-agent coordination, A2A communication protocols, memory governance, and real-time observability across distributed deployments</li></ul><br>
<ul><li>Drive the technical strategy for model integration and abstraction, enabling model-agnostic agent execution across multiple providers while enforcing cost optimization, routing intelligence, and governance controls at the platform level</li></ul><br>
<ul><li>Architect and build API-first platform interfaces that enable both internal teams and external consumers to build, deploy, govern, and operate AI agents through programmatic, language-agnostic access patterns</li></ul><br>
<ul><li>Define and enforce engineering standards, code quality practices, and architectural governance across the platform engineering team, ensuring every component meets production-grade requirements for security, resilience, performance, and compliance</li></ul><br>
<ul><li>Provide deep technical leadership on agentic AI design patterns, including retrieval-augmented generation, tool calling via Model Context Protocol, multi-step orchestration, human-in-loop workflows, and autonomous decision-making architectures</li></ul><br>
<ul><li>Act as a trusted technical advisor to senior leadership, translating complex platform architecture decisions into clear, business-oriented language that supports informed decision-making at the executive level</li></ul><br>
<ul><li>Mentor and develop a high-performing engineering team, fostering a culture of technical excellence, intellectual honesty, rigorous code review, and continuous improvement</li></ul><br>
<ul><li>Produce and maintain authoritative architectural documentation, including system design documents, architecture decision records, and integration specifications that meet Mastercard's engineering principles and security standards</li></ul><br>
All About You
<br>
<br>
<ul><li>15+ years of hands-on experience in software engineering and AI engineering, with a significant and demonstrable portion spent designing, building, and shipping AI and machine learning systems to production at enterprise scale</li></ul><br>
<ul><li>Proven track record of architecting and delivering agentic AI systems, autonomous agents, multi-agent orchestration platforms, or AI-powered automation systems that operate in production with real users, real data, and real consequences</li></ul><br>
<ul><li>Deep hands-on coding proficiency. You write production code, you review production code, and you hold others to the same standard. This is a building role, not a diagram-drawing role</li></ul><br>
<ul><li>Advanced expertise in Python and modern AI/ML frameworks, with hands-on experience across agentic toolkits such as LangChain, LangGraph, CrewAI, or equivalent orchestration frameworks</li></ul><br>
<ul><li>Strong architectural experience with cloud-native platforms including AWS, Databricks, and Kubernetes, with demonstrated ability to design for high availability, fault tolerance, and horizontal scalability</li></ul><br>
<ul><li>Deep understanding of AI governance, trust, and safety architectures, including guardrail systems, policy engines, behavioral analytics, evaluation frameworks, red teaming methodologies, and compliance mapping</li></ul><br>
<ul><li>Experience designing and building multi-tenant platforms with fine-grained access control, workspace isolation, and enterprise-grade identity and authorization systems</li></ul><br>
<ul><li>Proven ability to design API-first architectures, RESTful interfaces, and SDK abstractions that serve both internal platform teams and external consumers</li></ul><br>
<ul><li>Strong understanding of data architectures including Delta Lake, data lakehouse patterns, vector databases and retrieval-augmented generation pipelines</li></ul><br>
<ul><li>Demonstrated experience with tool calling architectures and model-agnostic integration patterns across multiple LLM providers</li></ul><br>
<ul><li>Exceptional communicator who can articulate deeply technical architecture decisions to engineering teams and translate complex platform concepts into business language for non-technical stakeholders</li></ul><br>
<ul><li>Known for building trust, holding high standards, and mentoring engineers. You make the people around you better. Motivated by hard problems, not titles. You bring intellectual curiosity, resilience, and relentless energy to complex technical challenges</li></ul><br>
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred but not required if the experience speaks for itself</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Senior Principal Agentic Platforms Architect

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