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ai data engineering lead, vice president Jobs in London

ai data engineering lead, vice president

lead ai product manager

Zego

<div>At Zego, we know that traditional motor insurance holds good drivers back. It&rsquo;s too complicated, too expensive, and it doesn't take into account how well you actually drive.
That&rsquo;s why, since 2016, we&rsquo;ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.
From van drivers and gig workers to everyday car drivers, our customers are our driving force &mdash; they&rsquo;re at the heart of everything we do.
We&rsquo;ve sold tens of millions of policies so far, and raised over $200 million in funding. And we&rsquo;re only just getting started.
Overview of the Product Team
Product Managers at Zego are change-makers. We build and scale data-driven, impactful solutions that enable Zego to offer competitive and personalised insurance. Working in a fast-paced Agile environment, our team thrives on innovation, cross-functional collaboration, and driving measurable outcomes.
We&rsquo;re building a product organisation where AI isn&rsquo;t a buzzword - it&rsquo;s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance.
From enhancing pricing models to streamlining digital experiences, our Product team is instrumental in shaping the future of insurance.
About the Role
We are looking for a Lead Product Manager who combines strategic depth with a hands-on builder&rsquo;s instinct. You&rsquo;ll own strategic workstreams that span multiple teams and business domains, defining the 6-12 month product direction and shaping how Zego&rsquo;s products evolve to meet ambitious commercial targets.
This role sits at the intersection of strategy, execution, and leadership. You&rsquo;ll define new product mechanics and revenue models. You&rsquo;ll make build-vs-buy-vs-partner recommendations that shape Zego&rsquo;s competitive position. And you&rsquo;ll champion an experiment-first culture - using AI to compress discovery cycles, generate sharper insights, and ship at a velocity that sets the standard for the rest of the organisation.
You&rsquo;ll work closely with Zego&rsquo;s Leadership Team on strategic decisions, lead cross-functional programmes, and mentor Product Managers - raising the bar for how the entire product community operates.
What You&rsquo;ll Be Doing<ul><li>
Set strategic direction: Define strategy for the 6-12 month horizon. Shape product operating models and governance. Make build-vs-buy-vs-partner recommendations that directly influence Zego&rsquo;s competitive position.</li><li>
Define new product mechanics and revenue models: Identify and validate new revenue opportunities - from 0-to-1 propositions to upsell and retention loops. Ground every bet in unit economics and customer insight, not gut feel.</li><li>
Architect an experiment-led culture: Embed rigorous experimentation (A/B testing, multivariate, rapid prototyping) into how your teams work. Replace opinion-driven roadmaps with a data-backed cadence where &ldquo;rate of learning&rdquo; is the leading metric.</li><li>
Champion AI adoption across Product: Go beyond personal AI use - develop reusable AI playbooks, workflows, and assets that multiply the team&rsquo;s output. Identify where AI tools can materially accelerate product development, content generation, data analysis, and decision-making across the organisation.</li><li>
Lead with data at every level: Design the product metrics and dashboards used by the business. Be proficient in gathering and using financial, behavioural, and usage data to ground strategic decisions. You&rsquo;re as comfortable in Snowflake as you are in a board-level strategy review.</li><li>
Drive company-level initiatives with P&amp;L impact: Own programmes that move core business metrics. Be accountable for commercial outcomes, not just feature delivery.</li><li>
Lead cross-functional workstreams: Partner with engineering, data science, design, marketing, legal, and compliance to ensure your strategy is technically feasible, commercially viable, and delivered with velocity.</li><li>
Mentor and develop PMs: Manage the product community of practice. Coach Product Managers across the organisation, instilling a customer-first, experiment-first mindset and raising the bar for data capabilities and product craft.</li><li>
Engage with the Leadership Team: Present strategic recommendations, lead pivots and sunset decisions, and shape how Product is represented in company-wide decision-making..</li></ul>
What You&rsquo;ll Need to Be Successful<ul><li>
Strategic product leadership: Significant experience leading product strategy across multiple teams or domains, ideally in a high-growth environment. You&rsquo;ve defined product operating models, shaped governance, and made decisions that moved business-level metrics.</li><li>
Experiment-first operator: Deep, hands-on experience designing rigorous experiments and rapid prototypes. You&rsquo;ve built experiment cultures - not just run individual tests. You instil the &ldquo;build-measure-learn&rdquo; loop as the default operating rhythm for your teams.</li><li>
Commercial and financial fluency: Deep understanding of unit economics, pricing levers, and revenue modelling. You prioritise based on expected commercial impact and can credibly partner with Finance and Leadership on P&amp;L-level decisions.</li><li>
AI as a force multiplier: You don&rsquo;t just use AI tools yourself - you&rsquo;ve built AI-enabled workflows, playbooks, or toolchains that made your team measurably faster. You can point to concrete examples of how AI has materially accelerated your or your team&rsquo;s product development.</li><li>
Data mastery: Proficient in gathering and using financial, behavioural, and usage data to make strategic decisions. You design the metrics and dashboards that the business relies on.</li><li>
Technical depth: Comfortable engaging with engineers on system architecture, APIs, ML pipelines, and service design. You understand the technical trade-offs well enough to make informed strategic bets.</li><li>
Outstanding communication and influence: You engage with the Leadership Team on strategic decisions, lead cross-functional workstreams, and bring stakeholders along through clarity and conviction - not hierarchy.</li><li>
Builder mentality: You&rsquo;re not just a strategist. You&rsquo;re comfortable acting as an IC when needed, getting into the detail, and leading a squad directly when the situation calls for it.</li><li>
People development: Proven track record of mentoring and developing PMs. You actively contribute to the broader product community, not just your own area.</li></ul>
Our Toolkit
We believe the tools don&rsquo;t make the Product Manager, but the right stack helps us move with velocity:<ul><li>
Collaboration: Notion, Whimsical, Slack, Google Meet</li><li>
Design, Prototyping &amp; User Testing: Figma, Figma Make, Maze</li><li>
Data &amp; Analytics: Snowflake, Amplitude, Hotjar, Looker</li><li>
Thinking &amp; Strategy: Claude Cowork</li><li>
Automations: Claude Code, Zapier</li></ul>
What&rsquo;s it like to work at Zego?
Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.
We&rsquo;re spread throughout the UK and Europe, and united by our drive to get things done. We&rsquo;re proud of our company and our culture &ndash; a friendly and inclusive space where we can lift each other up and celebrate our wins every day.
Together, we&rsquo;re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There&rsquo;s loads of room to learn and grow, and you&rsquo;ll get the freedom to steer your career wherever you want.
You&rsquo;ll work alongside a talented group who embrace each other's differences and aren&rsquo;t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we&rsquo;re making insurance matter.
How we work
We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. If you are based in the United Kingdom or in Portugal, you can choose to come into our central London office once a week, once a month or even quarterly. It&rsquo;s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance.
Our approach to AI
We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we&rsquo;ll provide you with the tools, support, and freedom to do it well.
Benefits
We reward our people well. Join us and you&rsquo;ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that&rsquo;s just for starters!
There&rsquo;s more to Zego than just a job - Check out our blog for insights, stories, and more.
We&rsquo;re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.
#LI-IL1
#LI-Hybrid</div>

Lead AI Product Manager

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

<div>
 
 
 Why this role exists
 
 
 
 We're hiring the a Founding Backend Engineer at Do Health - a mobile-first preventative health product co-founded by Dr Rangan Chatterjee, built as an independent startup inside Voy.
 
 
 Voy is one of the UK's fastest-growing digital health companies (&pound;300M+ revenue, doubling next year, ~2x YoY growth across men's health, metabolic health, menopause, hormonal health, TRT, dermatology and more). Do Health is its next chapter: the first product designed not to treat illness, but to prevent it.
 
 
 
 
 
 The product combines regular blood tests, longitudinal health data, behaviour-change science and AI personalisation to help people make better lifestyle decisions over time. We already run AI systems in production at a scale very few UK companies match
 
 
 
 
 
 You'd join a 10-person team, partnering directly with our lead engineer on the backend. There's no layer of management between you and the work. What you ship in month one is what users get. This is a rare opportunity to join a setting with a true early-stage startup spirit, yet backed by a major digital healthcare player.
 
 
 
 
 
 
 What you'll actually do
 
 
 <ul>
 <li>
 Own major backend features end-to-end - design, build, ship, monitor, iterate
 </li>
 <li>
 Shape architecture alongside the lead. Real technical decisions, made by you, kept or changed based on what works
 </li>
 <li>
 Scale our blood testing infrastructure across the UK and internationally as we expand.
 </li>
 <li>
 Build production AI systems - personalisation engines that act on longitudinal health data at scale.
 </li>
 <li>
 Improve reliability, observability, and the foundations that everything else depends on as the product grows.
 </li>
 <li>
 Work directly with product, design, and clinical teams. No tickets thrown over walls
 </li>
 </ul>
 
 
 
 
 
 The kind of engineer this works for
 
 
 
 You'll fit if you have:
 
 <ul>
 <li>
 5&ndash;8 years of backend experience with strong fundamentals. We care more about depth than years.
 </li>
 <li>
 Experience at a startup or scale-up where you genuinely owned things.
 </li>
 <li>
 Architectural thinking. You can hold an end-to-end technical conversation about systems you've built &mdash; what trade-offs you made, what broke, what you'd do differently.
 </li>
 <li>
 A track record of shipping reliable systems. Not just features &mdash; the boring infrastructure that keeps them up.
 </li>
 <li>
 Comfort with judgement calls in ambiguous situations. Most decisions here don't have a clear right answer.
 </li>
 <li>
 Confident, responsible use of AI tools in your workflow. Not "vibe coding" - using them as a force multiplier where they help, ignoring them where they don't.
 </li>
 </ul>
 
 Nice-to-have, not required:
 
 <ul>
 <li>
 Strong TypeScript / Node.js experience (it's our primary stack, but we'll happily hire someone excellent in Go, Kotlin, Python or similar)
 </li>
 <li>
 Experience scaling systems to high user volumes
 </li>
 <li>
 Exposure to ML/AI systems in production
 </li>
 <li>
 Healthcare or regulated-industry experience
 </li>
 </ul>
 
 
 
 
 
 Why this might be the right move
 
 
 <ul>
 <li>
 Genuine equity in a product with real upside, not lottery-ticket equity at a company that may never exit
 </li>
 <li>
 Startup velocity with grown-up backing - Voy isn't going anywhere, so you're not betting your mortgage on Series A survival
 </li>
 <li>
 A product that matters. Preventative health is one of the few areas where building software actually changes outcomes, not just engagement metrics.
 </li>
 <li>
 A high technical bar from day one. You're not joining a team that needs convincing to do things properly.
 </li>
 <li>
 Direct access to leadership - your work, your decisions, your name on them.
 </li>
 </ul>
 
 
 
 
 
 Practical details
 
 
 <ul>
 <li>
 Location: London
 </li>
 <li>
 Working pattern: Hybrid, ~3 days per week in person
 </li>
 <li>
 Compensation: Competitive - happy to discuss bands early in the process
 </li>
 <li>
 Process: Intentionally short. Hiring manager interview, technical conversation, team chat. We move fast for the right person.
 </li>
 </ul>
 
 
</div>

Senior Backend Engineer/Founding Engineer

Odevo

<div>We are on a mission to become the leading international force in residential property management. What we do matters to billions of people in their everyday lives.
Residential real estate is the world&rsquo;s largest asset class, and for most families, buying a home is the single biggest financial decision they will ever make. For too long, residential property management has fallen short of homeowners' and residents' expectations, and the industry is ready for change. Odevo was formed to make that change happen.
In just six years, Odevo has grown more than 70-fold, establishing us as the leading international player. We are more than 12,000 people across the US, the UK, the Nordics, Germany, Spain, Portugal, Mexico, and Italy building Odevo. Together, we aspire to break new ground through innovation and cultivate a workplace where we help each other succeed, where ideas matter more than titles, and where kindness is a strength.
By combining the power of people and technology, we set a new standard for how homes are managed. Our technology-enabled services simplify living for residents and create a better experience for property owners and boards.
Our ambition is to continue our fast-growing journey through new customers, service expansion, and by partnering with great companies that share our mindset and ambition, both in existing and new markets.
As we continue to grow, we stay true to who we are, challenge unnecessary bureaucracy, and keep decision-making close to our customers.
If you share our mindset and ambition, we&rsquo;d love you to join us and help accelerate our mission together.<h5 class="jobSectionHeader">
About the role</h5>
We're looking for an Senior Engineering Manager to lead engineering across our UK Value Stream &mdash; one of Odevo's most strategically important and technically complex domains.<div>
The UK business spans multiple product lines, internally developed platforms, and acquired SaaS solutions serving both customers and operational teams. This ecosystem is critical to enabling scale and customer value across one of our largest markets.
This is not a greenfield environment. The technology landscape has evolved through growth and acquisitions. Success here means bringing clarity to complexity: modernising where it matters, integrating where it adds value, and helping teams make pragmatic decisions that build long-term foundations.
As Senior Engineering Manager, you will help shape the technical direction and operating model for the UK domain, reporting to the Global Head of Engineering and working closely with Product, Architecture, Operations, and business stakeholders.
AI is a key part of how Odevo builds and operates. You will identify where AI and automation create meaningful value &mdash; in customer-facing capabilities, operational efficiency, and engineering productivity &mdash; and ensure we adopt emerging technologies thoughtfully and with measurable impact.</div><h5 class="jobSectionHeader">
Key responsibilities</h5>
Engineering Leadership &amp; Team Development<div><ul><li>
Lead and develop engineering teams across multiple products, creating clarity, alignment, and momentum.</li></ul></div><div><ul><li>
Build a high-performing and inclusive engineering culture where teams take ownership, collaborate effectively, and deliver meaningful outcomes.</li></ul></div><div><ul><li>
Coach and mentor engineers and technical leads at all levels, supporting technical excellence and career growth.</li></ul></div><div><ul><li>
Own the performance and development cycle: expectations, feedback, and progression.</li></ul></div><div><ul><li>
Partner closely with Talent Acquisition to attract, hire, and onboard exceptional engineering talent.</li><li>
Foster strong engineering communities and knowledge sharing across teams. Lead by example &mdash; contributing to technical discussions, architecture trade-offs, and delivery planning where it adds value.</li></ul>
Technical Strategy &amp; Delivery</div><div><ul><li>
Provide technical leadership across a complex technical landscape, navigating legacy systems, acquired platforms, integrations, and modernisation.</li></ul></div><div><ul><li>
Collaborate with Product, Architecture, and business stakeholders to define and evolve the UK technical roadmap.</li></ul></div><div><ul><li>
Translate business objectives into clear engineering priorities</li></ul></div><div><ul><li>
Drive engineering excellence through strong practices in quality, observability, security, and operational ownership.</li></ul></div><div><ul><li>
Identify and reduce technical debt, fragmentation, and duplication while supporting pragmatic delivery.</li></ul></div><div><div><ul><li>
Champion modern technical practices: API-first design, automated testing, CI/CD, cloud readiness, and scalable service architecture.</li></ul>
AI, Innovation &amp; Modernisation</div><div><ul><li>
Drive AI and automation adoption across the UK value stream &mdash; identifying where it creates genuine value in product capabilities, workflows, and customer outcomes.</li></ul></div><div><ul><li>
Ensure adoption is responsible and rigorous: data quality, security, compliance, and measurable business impact.</li></ul></div><div><ul><li>
Create space for experimentation without losing focus on what actually moves the business forward.</li></ul>
Cross-functional Collaboration</div><div><ul><li>
Act as the key engineering partner for the UK value stream, aligning with Product, Operations, Commercial, and Customer Success.</li></ul></div><div><ul><li>
Represent engineering in planning, prioritisation, and strategic discussions &mdash; communicating progress, risks, and trade-offs clearly.</li></ul></div><div><ul><li>
Make technical complexity understandable to non-technical stakeholders.</li></ul></div><div><ul><li>
Build alignment across acquired product teams and central technology functions.</li></ul></div></div><h5 class="jobSectionHeader">
Who you are</h5>
You are a proven engineering leader with a track record in complex, multi-product environments &mdash; including environments shaped by acquisitions, legacy systems, or platform modernisation. You are comfortable moving between strategic discussions, organisational leadership, and technical decision-making, with the credibility to engage meaningfully at each level. You understand how to balance technical quality with business priorities and operational realities, and you communicate trade-offs clearly to engineers and executives alike. You are passionate about building great teams and creating environments where people grow and do their best work. And you bring genuine excitement about AI and emerging technology.<h5 class="jobSectionHeader">
Qualifications</h5><ul><li>
Significant experience leading software engineering teams across multiple products or domains.</li><li>
Strong background in hands-on software development.</li><li>
Experience with complex product ecosystems that include legacy platforms, acquired products, integrations, and modernisation initiatives.</li><li>
Strong understanding of modern engineering practices: cloud architecture, APIs, DevOps, CI/CD, automated testing, observability, and security.</li><li>
Experience modernising platforms within the Microsoft/.NET ecosystem is a strong advantage.</li><li>
SaaS or product-led environment experience is highly beneficial.</li><li>
Excellent communication, stakeholder management, and interpersonal skills.</li><li>
Interest in AI, automation, and emerging technologies.</li><li>
Experience with Azure, AWS, Microsoft technologies, data platforms, or AI tooling is a plus.</li><li>
Professional proficiency in English.</li></ul><h5 class="jobSectionHeader">
What we offer</h5><ul><li>
Professional growth - to work with the most talented developers in the industry.</li><li>
Modern technology - we invest in the latest technologies and tools and encourage our team members to share their ideas and take ownership of their work.</li><li>
Innovation - to work on exciting projects that push the boundaries of our industry and make a real impact.</li><li>
Commitment to quality - a dynamic and forward-thinking company that values profitable and long-term product development.</li></ul>
Sounds like you? Apply today!
#d</div>

Senior Engineering Manager

<div>Company Description 
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but also on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS. 
Job Description 
As a Solution Architect &ndash; ERP / EAM, you sit at the intersection of product strategy, deep solution knowledge, and real-world customer process understanding. You are part of a small, high-calibre team whose purpose is to accelerate IFS's ability to deliver meaningful value through AI, agentic capabilities, and digital workers &ndash; embedded directly into ERP and EAM workflows.
This is not a generic presales or product management role. It is a specialist position designed for individuals who understand IFS ERP and EAM at depth: down to the business process, down to the sub-process, and in many cases down to the functional object, data model, or workflow component level. You will use that knowledge to identify where emerging IFS capabilities &ndash; including IFS Loops, digital workers, and the IFS agentic AI platform &ndash; can generate real, verifiable customer value.
Role Description 
This role requires a senior individual contributor who operates across product, engineering, sales, and customer conversations. The primary alignment sits within the IFS product organisation, with a close working relationship to R&amp;D and a dotted-line into sales and go-to-market.
The role requires fluency in both the language of engineering and product, as well as in customer outcomes and commercial opportunity. The individual will help shape what gets built, validate whether it works, and communicate what it means&mdash;to internal stakeholders and to customers alike.
In short, this role exists to ensure that IFS's most advanced ERP and EAM capabilities are delivered into the right contexts, in the right way, with the right supporting evidence.
Operating Model &amp; Time Allocation
This role operates across four primary dimensions. The split below reflects a realistic working rhythm, though the balance will shift based on business cycle and opportunity:
30%: Customer-facing support &ndash; active opportunities, strategic conversations, and 'what next' engagements with key accounts.
30%: Product organisation collaboration &ndash; process mapping, solution design, and Loops / digital worker opportunity identification within ERP and EAM.
20%: Engineering engagement &ndash; validation, feasibility assessment, and pre-release pressure-testing of proposed capabilities.
20%: Research, self-development, and internal enablement &ndash; staying current with IFS platform direction, ERP/EAM domain trends, and Industrial AI advances.
Ideal Candidate Profile<ul><li>
IFS ERP Portfolio Depth (Mandatory): Candidates must demonstrate genuine, hands-on depth across the IFS ERP portfolio. This is a non-negotiable requirement. Experience across core IFS ERP functional areas &ndash; including financials, supply chain, manufacturing, procurement, and project-based operations &ndash; is expected, whether gained as an IFS employee, IFS partner professional, or in a customer-side implementation role.</li><li>
IFS Cloud / IFS Applications Experience: Practical working experience with IFS Cloud and/or IFS Applications, with the ability to operate at functional and process level, not simply at a conceptual overview.</li><li>
ERP &amp; EAM Process Fluency: Demonstrable ability to work at the level of detailed business processes and sub-processes in ERP and EAM environments. Understanding of how these processes connect, depend on each other, and create operational outcomes.</li><li>
IFS EAM Familiarity: Strong working knowledge of IFS EAM-related capabilities is highly desirable. Candidates who can operate across both ERP and EAM process domains are strongly preferred.</li><li>
AI &amp; Automation Orientation: Genuine curiosity and working understanding of how AI, agentic capabilities, and workflow automation tools can be applied inside complex enterprise processes. Ability to identify opportunity areas and assess their practical viability.</li><li>
Cross-Functional Credibility: Proven ability to work effectively with product managers, engineers, sales leaders, and senior customer stakeholders. Comfortable challenging assumptions and bringing clarity to ambiguous situations.</li><li>
Communication &amp; Articulation: Ability to communicate complex product and process concepts clearly, credibly, and concisely &ndash; to both technical and non-technical audiences.</li></ul> 

Qualifications<div> 
Essential: 
<ul><li>University degree, or equivalent professional qualifications.</li><li>Extensive experience of implementation projects, working directly with customers.</li><li>In conjunction with a Project Manager, involvement in the planning and resourcing of a</li></ul>
project, taking a lead role in managing and guiding the consulting team on all solution 
related matters. 
<ul><li>Experience in working with C-Level customer stakeholders.</li><li>Excellent communication skills.</li><li>Lead role in the development of the ERP solution.</li></ul></div></div>

AI Solution Architect – ERP / EAM

Faculty

<div><h2 class="jobSectionHeader">Why Faculty? 
</h2> 
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.<h2 class="jobSectionHeader"> 
About the team</h2><div> 
</div>Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good. 
 
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. 
 
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.<h2 class="jobSectionHeader">
About the role</h2>
As a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities.
You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams. 
 
This is an ambitious, entrepreneurial leadership role where you will act as a trusted technical expert, defending your architectural rationale to senior stakeholders to ensure we deliver high-quality, high-value outputs.<div></div><div> 
</div><h2 class="jobSectionHeader">
What you'll be doing:</h2><ul><li> 
Setting the technical direction for complex software projects to ensure architectural decisions support long-term product and client goals.</li><li>
Driving the development of shared software libraries and microservices that accelerate delivery across multiple client engagements.</li><li>
Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.</li><li>
Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.</li><li>
Managing and coaching a distributed team of engineers, setting development goals that align with organisational growth.</li><li>
Establishing enterprise-wide standards for code delivery, testing, and system documentation across the software engineering craft.</li><li>
Leading hiring processes for the software engineering craft to continue building a world-class technical team.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Who we're looking for:</h2><ul><li> 
You apply deep expertise across the application lifecycle to set high standards for system integration and end-user software quality.</li><li>
You design large-scale, complex software ecosystems with the authority to justify critical architectural trade-offs in high-stakes environments.</li><li>
You define the gold standard for production readiness, establishing application deployment protocols across diverse client engagements.</li><li>
You translate high-level commercial strategy into technical roadmaps, ensuring AI work-streams are accurately estimated and seamlessly integrated.</li><li>
You architecturally direct the development of products leveraging autonomous AI agents to ensure they are robust and effectively integrated.</li><li>
You are a confident communicator, capable of conveying complex technical roadmaps and architectural risks to commercial partners and executive leadership.</li></ul><h2 class="jobSectionHeader">
The Interview Process</h2><div></div><ul><li> 
Talent Team Screen (30 minutes)</li><li>
Introduction to the Hiring Manager (30 minutes)
</li><li>Pair Programming Interview (90 minutes)
</li><li>System Design Interview (90 minutes)
</li><li>Commercial &amp; Leadership Interview (60 minutes)</li></ul><div></div> 
#LI-PRIO<h2 class="jobSectionHeader">
Our Recruitment Ethos</h2>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:<ul><li>
Unlimited Annual Leave Policy</li><li>
Private healthcare and dental</li><li>
Enhanced parental leave</li><li>
Family-Friendly Flexibility &amp; Flexible working</li><li>
Sanctus Coaching</li><li>
Hybrid Working</li></ul>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</div>

Lead Software Engineer

Orion Innovation

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.Job Description: Technical Delivery ManagerLocation: London, UK Work Model: Full-time, onsite at customer location Role Type: Customer-facing delivery leadership roleRole SummaryWe are looking for a Technical Delivery Manager to lead complex technology delivery for a strategic enterprise customer in London. This role requires a strong combination of hands-on technical understanding, delivery ownership, client management, Agile execution, and cross-functional leadership.The ideal candidate will manage end-to-end delivery across cloud, data, application modernization, AI-enabled engineering, and enterprise integration initiatives. The role is fully customer-facing and requires daily onsite collaboration with business, technology, product, architecture, and engineering stakeholders.Key ResponsibilitiesDelivery Leadership<ul><li>Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.</li><li>Drive planning, execution, risk management, dependency tracking, and stakeholder communication.</li><li>Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.</li><li>Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.</li><li>Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.</li></ul>Customer &amp; Stakeholder Management<ul><li>Act as the primary onsite delivery interface for customer stakeholders.</li><li>Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.</li><li>Translate business priorities into actionable delivery plans and technical execution roadmaps.</li><li>Proactively communicate risks, blockers, trade-offs, and mitigation plans.</li><li>Support executive-level reporting, steering committee updates, and escalation management.</li><li>Identify growth opportunities and partner with internal team to build solution proposals</li></ul>Technical Oversight<ul><li>Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.</li><li>Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.</li><li>Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.</li><li>Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.</li><li>Drive production-readiness reviews, performance validation, monitoring, and support handover.</li></ul>Engineering &amp; Agile Execution<ul><li>Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.</li><li>Manage delivery through tools such as JIRA and/or Azure DevOps.</li><li>Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.</li><li>Track velocity, capacity, defects, risks, dependencies, and release burn-down.</li><li>Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.</li></ul>Data, Cloud &amp; DevOps Delivery<ul><li>Manage delivery across modern data platforms and cloud-native environments.</li><li>Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.</li><li>Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.</li><li>Support operational readiness through monitoring, observability, incident response, and continuous improvement.</li></ul>Required Technical ExperienceStrong working knowledge across modern enterprise technology delivery, including:<ul><li>Cloud &amp; Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.</li><li>Data &amp; Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.</li><li>Application &amp; Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.</li><li>DevOps &amp; Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.</li><li>AI-Enabled Engineering: Exposure to GitHub Copilot, Claude, Codex, Lovable, or similar AI tools supporting SDLC acceleration, code generation, testing, and productivity improvement.</li></ul>Required Skills &amp; Qualifications<ul><li>10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.</li><li>5+ years in a delivery management, technical program management, or technical project leadership role.</li><li>Strong experience managing enterprise customers in an onsite, high-touch delivery model.</li><li>Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.</li><li>Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.</li><li>Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.</li><li>Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.</li><li>Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.</li><li>Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.</li></ul>Preferred Experience<ul><li>Experience working with large global enterprise customers.</li><li>Prior exposure to audit, risk, compliance, financial services, or professional services platforms.</li><li>Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.</li><li>Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.</li><li>Familiarity with operational support, production readiness, observability, performance testing, and incident management.</li><li>Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.</li></ul>Key Success Measures<ul><li>Predictable sprint and release delivery.</li><li>Strong customer confidence and stakeholder satisfaction.</li><li>Clear governance across scope, backlog, UAT, defects, and release readiness.</li><li>Improved delivery quality, reduced rework, and stronger production stability.</li><li>Effective coordination across business, product, engineering, QA, DevOps, and operations teams.</li><li>Proactive risk management and transparent executive communication.</li></ul>Ideal Candidate ProfileThe ideal candidate is a hands-on technical delivery leader who can operate comfortably with senior customer stakeholders while also engaging deeply with engineering teams. They should be able to manage delivery pressure, bring structure to ambiguity, challenge teams constructively, and ensure that commitments are met with quality and transparency.This is not a purely project management role. It requires someone who understands technology delivery in depth and can lead from the front in a complex, customer-facing enterprise environment.Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.Pay: &pound;33,656.64-&pound;76,535.09 per yearWork Location: Hybrid remote in London NW2 7GZ

Technical Delivery Manager

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