software engineer

ai engineer

analytics engineer

lead software engineer

platform engineer

ai engineering manager

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

BlackRock

<div><div><div><div><p>Locations: <b>London, United Kingdom; Edinburgh, United Kingdom</b></p>
<p>Additional Locations: <b>ED3 - 20 Brandon Street, Edinburgh</b></p></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p>
<p></p><p>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.</p>
<p></p><p>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.</p>
<p></p><p>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.</p>
<p></p><p>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.</p>
<p></p><p>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.</p>
<p></p><p>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.</p>
<p></p><p>Roles &amp; Responsibilities</p>
<ul><li><p>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.</p>
</li><li><p>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.</p>
</li><li><p>Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity</p>
</li><li><p>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</p>
</li><li><p>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.</p>
</li><li><p>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.</p>
</li><li><p>Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.</p>
</li><li><p>Define and enforce quality standards for user story delivery &mdash; including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements</p>
</li><li><p>Lead post-implementation validation efforts &mdash; coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes</p>
</li><li><p>Support product activation and customer adoption &mdash; translating delivery milestones into customer-facing readiness for data/knowledge product rollout</p>
</li><li><p>Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products</p>
</li><li><p>Lead complex, cross-functional AI initiatives from discovery through delivery &mdash; managing dependencies, risks, and stakeholder expectations across teams.</p>
</li><li><p>Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.</p>
</li><li><p>Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale</p>
</li><li><p>Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization</p>
</li><li><p>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</p>
</li><li><p>Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales</p>
</li></ul><p></p><p>Required Skills &amp; Experience</p>
<p><i>Technical Skills</i></p>
<ul><li><p>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.</p>
</li><li><p>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.</p>
</li><li><p>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)</p>
</li><li><p>Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour</p>
</li><li><p>Fluency in the AI product development lifecycle &mdash; extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring</p>
</li><li><p>Solid understanding of evaluation approaches for AI outputs &mdash; accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking</p>
</li><li><p>Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.</p>
</li><li><p>Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products</p>
</li><li><p>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</p>
</li></ul><p></p><p><i>Non-Technical &amp; Interpersonal Skills</i></p>
<ul><li><p>Executive-level communication skills &mdash; able to operate fluidly between engineering stand-ups and boardroom strategy conversations.</p>
</li><li><p>Excellent communication and stakeholder management skills &mdash; able to drive alignment across product, commercial, engineering, and domain-expert audiences</p>
</li><li><p>Strong strategic thinking &mdash; able to connect present engineering decisions &amp; strategy to long-term commercial positioning of AI knowledge/data products.</p>
</li><li><p>Strong analytical and structured problem-solving approach &mdash; breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward</p>
</li><li><p>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.</p>
</li><li><p>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.</p>
</li></ul><p></p><p><i>Leadership &amp; Ownership</i></p>
<ul><li><p>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.</p>
</li><li><p>Demonstrable experience influencing product vision and feature strategy at the leadership level &mdash; shaping what gets built, not just how.</p>
</li><li><p>Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.</p>
</li><li><p>Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.</p>
</li><li><p>Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.</p>
</li><li><p>Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability &mdash; or team sustainability &mdash; are at risk</p>
</li><li><p>Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.</p>
</li><li><p>Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.</p>
</li><li><p>Ability to hold the bar on quality and delivery while advocating for the team &mdash; protecting focus, escalating constraints, and making hard prioritization calls</p>
</li><li><p>A builder-of-builders mindset &mdash; measures success by the capability and culture left behind, not just the features shipped.</p>
</li></ul><p></p><p>What This Role Offers</p>
<ul><li><p>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.</p>
</li><li><p>Direct influence over organizational direction &mdash; working closely with executive leadership on product vision, hiring, and operating model decisions.</p>
</li><li><p>A meaningful seat at the table in shaping product &amp; engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities</p>
</li><li><p>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.</p>
</li><li><p>Direct exposure to emerging AI capabilities &mdash; multi-agent orchestration, GenAI, Vision AI &mdash; applied to real commercial problems at scale.</p>
</li></ul><ul><li><p>A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.</p>
</li></ul><p></p><p><b>Our benefits</b></p>
<p></p><p>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.</p>
<p></p><p><b>Our hybrid work model</b></p>
<p></p><p>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.</p><br>
<p></p><p><br>
<b>Guidance on AI use for candidates<br>
</b></p><br>
<p>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 <b>guidance</b>( 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.<br>
<br>
</p><br>
<p><b>About BlackRock</b></p><br>
<br>
<p>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.</p><br>
<br>
<p>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.</p><br>
<br>
<p>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).</p><br>
<br>
<p>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.</p>
</div><div><b>Job Requisition #</b>
<br>
R264955</div></div><p></p>

AI Data Engineering Lead, Vice President

Novo Nordisk, Inc.

<div><div><div><div><div><p>Associate Director, AI Products Engineering, London
</p></div></div></div></div><div><div><div><div><b>Category: </b>Data &amp; AI
</div></div></div></div><div><div><div><div><b>Location:
</b>London, London, GB<br>
</div></div></div></div><div></div><div><div><div><div><div><div><div>Are you passionate about machine learning, AI, and data sciences? The Data &amp; AI Engineering function is a global organisation within R&amp;D Business Unit at Novo Nordisk, shaping the data foundations and intelligent infrastructure, and next-generation agentic solutions across the organization. Together we can create life-changing innovations for patients.</div></div><div><br>
<div>
</div></div><div><div><b>The Position</b></div>
</div>
<div><div>As Associate Director, you will provide strategic engineering leadership for the development of scalable and robust AI products, including agentic applications for content authoring, knowledge management, and compliance automation. You will lead a portfolio spanning early research, pre-clinical, and clinical development, ensuring agentic AI initiatives progress from proof-of-value to production. The role is accountable for establishing the data foundations and agentic AI infrastructure that support Novo Nordisk's R&amp;D AI ambitions, while driving business impact through the orchestration of complex cross-functional initiatives and stakeholder collaborations in a quality- and governance-focused environment.</div></div><div><br>
<div>
</div></div><div><div><b>Furthermore, you will be responsible for:</b></div>
</div>
<div><ul><li><div>Defining and driving the AI product infrastructure strategy for R&amp;D, enabling an integrated ecosystem of Agentic AI solutions</div>
</li>
</ul></div><div><ul><li><div>Ensure robust and scalable delivery of AI capabilities (data foundations, infrastructure, MLOps), with a strong focus on quality, traceability, risk management, and governance readiness. Transforming scientific and operational data into trusted, scalable AI solutions that accelerate innovation, improve efficiency, and support better business outcomes across R&amp;D.</div>
</li>
</ul></div><div><ul><li><div>Developing and executing short- and long-term strategies for AI engineering and AI data foundations, aligning R&amp;D and Enterprise AI priorities through internal partnerships and external collaborations.</div>
</li>
</ul></div><div><ul><li><div>Driving cross-functional initiatives and influence senior stakeholders to remove complexity, accelerate AI adoption, and enable sustainable AI-driven transformation across the organization.</div>
</li>
</ul></div><div><ul><li><div>Leading the delivery of technology innovation across a complex stakeholder landscape and scientific environment, balancing evolving business priorities while identifying the highest-impact opportunities for AI deployment.</div></li></ul><br>
</div>
<div></div><div><div><b>Qualifications</b></div>
</div>
<div><div><b>To thrive and succeed, we expect you to have:</b></div>
</div>
<div><ul><li><div>Degree in Computer Science, Bioinformatics, Information Technology, Engineering, or a related field.</div>
</li>
</ul></div><div><ul><li><div>Strong background in Artificial Intelligence, Machine Learning, Data Science, or Product Development with a strong focus on product engineering. Solid understanding of AI engineering, data foundations, cloud technologies, and scalable AI solution development.</div>
</li>
</ul></div><div><ul><li><div>Proven experience leading teams or working in a strategic consulting capacity, with a track record of delivering complex AI and Machine Learning initiatives across data engineering, AI/ML research, and IT platforms.</div>
</li>
</ul></div><div><ul><li><div>Experience engaging with senior business stakeholders and translating business needs into technology and AI strategies. Strong stakeholder management, communication, and influencing skills across complex organizational environments.</div>
</li>
</ul></div></div><div><div><ul><li><div>Ability to represent the organization in collaboration with external technology partners and AI providers within areas such as Agentic AI, AI engineering, and data platforms.</div>
</li>
</ul></div><div><ul><li><div>A curious, collaborative, and visible leadership style, with a passion for innovation and continuous learning.</div></li></ul><br>
</div>
<div></div><div><div><b>About the Department</b></div>
</div>
<div><div>You will join a recently established AI Product Engineering team focused on enabling the next generation of AI solutions across R&amp;D. Working closely with Data Science and AI stakeholders across multiple global locations, the team is developing advanced Agentic AI capabilities in areas such as Gen AI-driven content authoring, research assistance agents, knowledge management agents, and compliance automation through AI.</div>
</div>
<div><div>The team plays a key role in shaping scalable AI platforms, engineering standards, and technology foundations that support the sustainable development of AI solutions across a complex and evolving data landscape.</div></div><div><br>
<div>
</div></div><div><div><b>Working at Novo Nordisk</b></div>
</div>
<div><div>At Novo Nordisk, we don't wait for change. We drive it. We're a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating perfection. We never shy away from opportunities to develop, we seize them. From research and development, through manufacturing, marketing, and sales &ndash; we're all working to move the needle on patient care.</div></div><div><br>
<div>
</div></div><div><div><b>What we offer</b></div>
<div>
At Novo Nordisk, you&rsquo;ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage.</div>
<div><b>
Salary:</b><b> </b>For this role, the Annual Base Salary ranges from 87,680.00 to 137,660.00 GBP, corresponding to the level of the position.</div>
<div>
The placement within the salary range will be assessed during the recruitment process based on the candidate&rsquo;s skills, competencies, knowledge, and relevant experience.</div>
<div><b>
Incentives and Benefits: </b>The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.</div>
<div>
Learn more about our Reward Philosophy here.</div></div><div><br>
<div>
</div></div></div><div><div><b>Deadline</b></div>
</div>
<div><div><b>17th July 2026</b></div>
</div><div>
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.</div><br>
<div></div>
<div>
At Novo Nordisk, we're not chasing quick fixes &ndash; we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger &ndash; a legacy of impact that reaches far beyond today.</div></div></div></div></div></div>

Associate Director, AI Products Engineering, London

Waymo

<div><p>LONDON, ENGLAND, UNITED KINGDOM</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4700</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for evaluating, training and scaling the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), static road elements, traffic control systems, weather conditions, and the full sensor suite including camera, lidar and radars.</p>
<p>
We enhance our simulations' fidelity, scalability, and controllability by leveraging state of the art machine learning. This includes large language models, foundational world models, and reconstructive methods, all trained on datasets using both generative and reconstructive AI, alongside traditional rendering techniques.</p>
<p>
In this hybrid role, you will report to the Director of Engineering, Simulator.</p><p><br>
<b>
You will:</b></p>
<ul>
<li>Serve as the connective tissue for the London office, ensuring that engineers across Sim Realism, DUE, AIF, and other functions feel part of a single, cohesive &quot;One Waymo&quot; site.</li>
<li>Act as the primary executive conduit between Waymo's Foundation Model initiatives and Google DeepMind teams in the UK to accelerate joint R&amp;D.</li>
<li>Define the technical roadmap for the London Sim Realism team, driving tight alignment with Waymo's overarching simulation and AI-first objectives.</li>
<li>Direct the research and engineering of cutting-edge generative models for sensor-level and semantic-level simulation (Waymo World Model).</li>
<li>Recruit, manage, and mentor a top-tier Sim Realism engineering organization, attracting elite talent in machine learning, generative AI, and simulation.</li>
<li>Partner closely with Real Estate &amp; Workplace Services (REWS) to design and support a site strategy.</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>A PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related field (or equivalent practical experience).</li>
<li>A proven track record of leading, scaling, and managing large engineering organizations in a fast-paced, research-driven, and highly technical environment.</li>
<li>Deep foundational knowledge and applied expertise in machine learning, generative foundation models, and/or complex simulation environments.</li>
<li>Demonstrated ability to drive complex, multi-year, cross-functional projects from early conception to global impact.</li>
<li>Extensive experience managing and developing senior engineers, staff engineers, and technical leads/managers.</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>Familiarity with autonomous vehicle technology, robotics, or complex embodied AI systems.</li>
<li>Exceptional executive communication skills, with a proven ability to build consensus and influence stakeholders across reporting lines.</li>
<li>Demonstrated capability to translate highly ambiguous, long-term strategic goals into focused, actionable engineering roadmaps.</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</p></div><div>Salary Range</div>
<div>&pound;230,000&mdash;&pound;242,000 GBP</div></div></div></div></div></div></div>

Director of Engineering, London

Marks & Spencer

Software Engineering Manager - AI Engineering

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>Independently lead agentic AI initiatives within the SPPO Data Science and AI Strategy in Global Drug Development, directly contributing to faster delivery of transformative medicines to patients.<br>
<br>
Role model a culture of AI-augmented, data-driven decision-making across GDD functions &mdash; spanning clinical development, translational research, and regulatory.<br>
<br>
Deep technical expert with accountability for agentic AI systems that reduce time to insight and time to patient across global development programs.<br>
<br>
Shape the agentic AI direction for your organizational domain, grounded in the broader GDD strategy set by leadership.<br>
<br>
Where managing a team: empower, guide, and coach data scientists and AI engineers to deliver at the frontier of applied AI in drug development.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><p><b>Internal job title:</b> Director</p><p><b>
Position Location</b>: Hybrid working arrangement, London <b>#LI-Hybrid</b></p><p></p><p>
This is a senior AI leader role within Novartis Global Drug Development (GDD), responsible for leading the design, build, and productionization of agentic AI systems &mdash; think multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration &mdash; to accelerate drug development timelines and time-to-patient. The role sits at the intersection of deep technical expertise (agentic frameworks, RAG, governance, data foundations) and strategic influence, shaping the agentic AI direction for its domain while collaborating across clinical development, translational research, and regulatory functions.</p><p></p><p>
Beyond hands-on design and delivery, the position carries accountability for agent evaluation frameworks (reliability, hallucination risk, auditability), agentic governance, stakeholder coordination across globally dispersed teams, and external visibility through publications and conference presentations. Where a team is in scope, the leader is expected to coach and develop data scientists and AI engineers at the frontier of applied AI in pharma. It requires 10+ years of production AI/ML experience with specific fluency in agentic design patterns and responsible-AI practices.</p><p></p><p><b>
 Major Accountabilities:</b></p><p></p><ul><li>
Develop and execute a roadmap for agentic AI systems &mdash; including multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration &mdash; across multiple business verticals</li><li>
Architect, prototype, and productionize agentic pipelines: agent orchestration, memory and context management, tool integration, and human-in-the-loop governance frameworks</li><li>
Define agent evaluation frameworks covering reliability, hallucination risk, task completion rate, and regulatory-grade auditability</li><li>
Design and implement the data foundations (master data, governance, quality) that agentic systems depend on for grounded, trustworthy decision-making</li><li>
Identify and integrate internal/external data sources, APIs, and knowledge bases as agent-accessible tools with appropriate access controls and governance</li><li>
Strategically coordinate and prioritize team resources across initiatives; proactively manage risks, stakeholder expectations, and competing priorities</li><li>
Collaborate with globally dispersed stakeholders, external partners, and cross-functional teams to translate business problems into agentic AI solutions</li><li>
Proactively evaluate the evolving agentic AI landscape (e.g., reasoning models, agent frameworks, MCP, RAG) and guide technology selection</li><li>
Provide agile consulting and guidance on unplanned, high-priority analytical and AI challenges</li><li>
Publish and present at conferences and academic institutions; serve as a Novartis ambassador for agentic and applied AI</li><li>
Coach and develop junior data scientists and AI engineers in agentic design patterns and responsible AI practices</li></ul><p></p><p><b>
Key Performance Indicators:</b></p><p></p><ul><li>
Agentic system deployment rate and measurable business impact per vertical</li><li>
Agent reliability and task-completion metrics vs. baseline</li><li>
Governance and compliance endorsement at program tollgates</li><li>
Successful implementation against enterprise data and AI program objectives</li></ul><p></p><p><b>
Minimum Requirement: Work Experience:</b></p><p></p><ul><li>
Advanced degree in related field preferred. 10+ years in Data Science or AI, with demonstrable experience building and deploying production AI/ML systems</li><li>
Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, or equivalent)</li></ul><p></p><p><b>
Skills:</b></p><p></p><ul><li>
Agentic AI system design and orchestration</li><li>
LLM tool-use, RAG, and multi-agent coordination patterns</li><li>
AI governance and responsible AI (EU AI Act awareness a plus)</li><li>
Machine learning, deep learning, NLP and GenAI</li><li>
Data governance, quality, and strategy</li><li>
Statistical analysis and data visualization</li><li>
Change management and organizational awareness</li><li>
Stakeholder engagement and business value creation</li><li>
Mentorship and learning agility</li></ul><p></p><p><b>
Language:</b></p><p></p><ul><li>
English</li></ul><p></p><p><b>
Rewards</b></p><p>
At Novartis, we&rsquo;re committed to reimagining medicine together - and rewarding the people who make it happen.</p><p></p><p>
The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.</p><p></p><p>
Expected Annual Base Salary Range for role:</p><ul><li>
London: 100,240.00 - 143,200.00 - 186,160.00 GBP Annual</li></ul><p></p><p>
The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.
</p><p></p><p>In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.
</p><p></p><p>Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.</p><p></p><p>
Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf
</p><p><i>Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.</i>
</p><p></p><p><b>Commitment to Diversity and Inclusion / EEO paragraph:</b></p><p>
Novartis is committed to building an outstanding, inclusive work environment and diverse teams&rsquo; representative of the patients and communities we serve.</p><p></p><p><b>
Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards: </b>Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</p></div></div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards:</b> Learn about all the ways we&rsquo;ll help you thrive personally and professionally.<br>
Read our handbook (PDF 30 MB)</p></div></div></div>
<br><div><div>Primary location salary range
<div>&pound;100,240.00 - &pound;186,160.00
</div></div><div>Division
<div>Development
</div></div><div>Business Unit
<div>Development
</div></div><div>Location
<div>United Kingdom
</div></div><div>Site
<div>London (The Westworks)
</div></div><div>Company / Legal Entity
<div>GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
</div></div><div>Functional Area
<div>Data and Digital
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No</div></div></div><div></div>

Director Data Science & Agentic AI

Compare The Market

<div><h1 class="jobSectionHeader"><b>Engineering Manager</b></h1><p>
Function: Tech<br>
Location: Hybrid &ndash; London</p><p></p><h2 class="jobSectionHeader"><b><br>
Curious about what's next?</b></h2><p>
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.<br>
<br>
At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.<br>
<br>
We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in.<br>
<br>
As an Engineering Manager, you'll play a pivotal role in building a world-class engineering function where technical excellence, ownership, and continuous improvement are at the heart of everything we do. You'll create an environment where engineers are empowered to solve meaningful problems at scale while balancing long-term technical strategy with delivery.</p><h2 class="jobSectionHeader"><b>
What you'll be doing:</b></h2><br>
<p></p><ul><li>
Lead, coach and develop a high-performing engineering team.</li><li>
Recruit, develop and retain engineering talent.</li><li>
Foster a culture of ownership, psychological safety and continuous improvement.</li><li>
Drive technical excellence and engineering best practices.</li><li>
Own the technical health, reliability and maintainability of critical customer facing systems.</li><li>
Partner with Staff and Principal Engineers on architecture and technical strategy.</li><li>
Collaborate with Product Managers to balance delivery, customer value and technical debt.</li><li>
Champion Agile ways of working and data-driven engineering improvements.</li><li>
Drive adoption of AI-augmented engineering practices and developer tooling.</li><li>
Ensure engineering practices align with governance, security and risk requirements.</li></ul><h2 class="jobSectionHeader"><b>
What we're looking for:</b></h2><p></p><p><br>
You'll bring proven experience leading high-performing software engineering teams within modern technology organisations. You'll have a strong software engineering background, excellent communication skills and experience guiding architecture, scalability, maintainability and reliability. You'll be passionate about developing people, improving developer experience, embracing AI-augmented engineering practices such as Spec Driven Development and delivering high-quality technology that creates value for customers and the business.</p><p></p><h2 class="jobSectionHeader"><b><br>
Why Compare the Market?</b></h2><p></p><p><br>
We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.<br>
<br>
We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.<br>
<br>
If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you.</p></div>

Explore 794+ Ai engineering manager in London this July. Find roles across top companies and apply now to boost your career.

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