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

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

<div><b>Role description</b><p><b><br>
Technical Product Owner / Technical Product Manager &ndash; Agentic AI</b></p>
<p><b>
Location:</b> Leeds (Hybrid)<br>
<b>Engagement Type:</b> Contract (Inside IR35) or Fixed-Term Employment<br>
<b>Start Date:</b> ASAP</p><br>
<p></p>
<p>
We are seeking an experienced Technical Product Owner / Technical Product Manager to support a strategic Device Management Modernisation initiative leveraging Agentic AI capabilities.</p>
<p>
Working closely with Product, Engineering, Architecture, and Business stakeholders, you will drive product outcomes, translate business needs into technical solutions, and help deliver innovative AI-powered capabilities while ensuring continuity of existing business processes.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Own and drive product outcomes across the modernisation programme.</li>
<li>Define product priorities, roadmap, and requirements in collaboration with business and technology stakeholders.</li>
<li>Translate business objectives into clear user stories and delivery-ready requirements.</li>
<li>Manage and prioritise the product backlog to maximise business value.</li>
<li>Partner with Engineering and Architecture teams to deliver scalable, high-quality solutions.</li>
<li>Support the design and delivery of Agentic AI use cases and workflows.</li>
<li>Embed Responsible AI, governance, security, and compliance considerations into product delivery.</li>
<li>Act as the primary bridge between Product, Engineering, and Business teams, ensuring alignment throughout delivery.</li></ul><br>
<p></p>
<p><b>
What You'll Bring:</b></p>
<p><b>
Product &amp; Delivery</b></p>
<ul>
<li>Proven experience as a Technical Product Manager, Technical Product Owner, or similar role in a technology-led environment.</li>
<li>Strong understanding of product operating models, product lifecycle management, and Agile delivery.</li>
<li>Experience leading technology transformation or modernisation initiatives.</li>
<li>Ability to translate business requirements into engineering-ready solutions.</li></ul><br>
<p></p>
<p><b>
Agentic AI &amp; GenAI</b></p>
<p><b>
Working knowledge of:</b></p>
<ul>
<li>Agentic AI concepts, including multi-agent orchestration, RAG, AI tool/API integration, memory frameworks, and Responsible AI controls.</li>
<li>Large Language Models (LLMs), prompt engineering, evaluation approaches, and cost, latency, and accuracy trade-offs.</li></ul><br>
<p></p>
<p><b>
Technical &amp; Stakeholder Skills</b></p>
<ul>
<li>Experience working closely with Engineering, Architecture, and Product teams.</li>
<li>Understanding of cloud-native and API-driven architectures.</li>
<li>Strong stakeholder management, communication, and influencing skills.</li>
<li>Ability to engage effectively with both technical and non-technical audiences.</li></ul><br>
<p></p>
<p><b>
Nice to Have</b></p>
<ul>
<li>Experience delivering AI, GenAI, Machine Learning, or Intelligent Automation solutions.</li>
<li>Experience with Microsoft AI, Azure AI, OpenAI, Copilot, or similar AI platforms.</li>
<li>Background in enterprise technology transformation or device management environments.</li></ul><br>
<p></p>
<p><b>
Why Join Us?</b></p>
<p>
Join a high-profile transformation programme and play a key role in shaping the next generation of AI-enabled products while working alongside leading product, engineering, and AI specialists.</p>
<p></p>
<p><b>Hurry &amp; Apply!</b><br>
<b>#UST</b></p><p></p><b><br>
Skills</b><p><br>
agentic ai,life cycle management,artificial intelligence,product management,</p><b><br>
About UST</b><br>
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Technical Product Owner / Technical Product Manager – Agentic AI (Lead I - Software Engineering)

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>

<div><p>Director, Applied AI Product Manager<br>
</p><p></p><p>At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.<br>
</p><p></p><p>Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.<br>
</p><p></p><p>We&rsquo;re seeking a future team member for the role of Director, Applied AI Product Manager to join our EMEA Innovation / Strategic Partnerships, Investments &amp; Innovation team. This role is located in London, UK.<br>
</p><p></p><p>In this role, you&rsquo;ll make an impact in the following ways:
</p><p>Product strategy and opportunity framing
</p><p>Define product vision, strategy, and roadmap for AI-enabled transformation opportunities.
</p><p>Translate complex business or client problems into clear opportunity statements, product hypotheses, MVP scopes, PRDs, and execution plans.
</p><p>Identify high-value opportunities for AI, intelligent automation, LLMs, workflow redesign, decision intelligence, and agentic solutions.
</p><p>Partner with business sponsors, designers, AI Hub, engineering, data, risk, and platform teams to shape solutions that are valuable, feasible, usable, and governable.
</p><p>Help convert discovery outputs into prioritised product opportunities, build paths, or handoff recommendations.
</p><p>AI-enabled product development
</p><p>Shape AI-enabled workflows, agent concepts, decision-support tools, prototypes, and product solutions.
</p><p>Define what should be automated, augmented, escalated, or kept human led.
</p><p>Work with technical partners to define orchestration needs, data requirements, permissions, integration considerations, model behaviour, and evaluation needs.
</p><p>Use approved AI tools and methods to accelerate research, synthesis, product thinking, requirements development, prototyping, and decision support.
</p><p>Critically evaluate AI outputs for quality, accuracy, bias, limitations, risk, and fitness for purpose.
</p><p>Delivery, experimentation, and measurable outcomes
</p><p>Lead cross-functional delivery from opportunity framing through prototype, MVP, pilot, or handoff.
</p><p>Establish clear success metrics linked to productivity, operational efficiency, risk reduction, adoption, client experience, revenue support, or decision quality.
</p><p>Drive fast learning loops through hypothesis testing, experimentation, user feedback, and evidence-based prioritisation.
</p><p>Balance speed with control, ensuring responsible AI, data, compliance, security, operational resilience, and risk considerations are embedded early.
</p><p>Create executive-ready narratives, decision packs, and product artefacts that support senior stakeholder alignment.
</p><p>Stakeholder and team leadership
</p><p>Partner with senior stakeholders across business lines, operations, technology, design, risk, compliance, and commercial teams.
</p><p>Communicate complex AI and product concepts in clear, practical, outcome-focused language.
</p><p>Work fluidly in small multidisciplinary teams, contributing beyond narrow role boundaries while maintaining clear accountability.
</p><p>Mentor and support colleagues as the team builds stronger AI product capability.
</p><p>Help create a team culture built on trust, constructive challenge, continuous learning, and shared ownership of outcomes.<br>
</p><p></p><p>To be successful in this role, we&rsquo;re seeking the following:
</p><p>Significant experience in AI product management, digital product management, enterprise product development, AI-enabled transformation, or technology-led business change.
</p><p>Strong understanding of generative AI, LLM-enabled systems, intelligent automation, agentic workflows, and AI-enabled product capabilities.
</p><p>Experience translating complex business problems into product strategies, requirements, roadmaps, prototypes, or delivery plans.
</p><p>Ability to work with engineering, data science, AI Hub, design, business, and risk teams to shape practical solutions.
</p><p>Strong understanding of enterprise technology concepts such as APIs, workflows, data flows, permissions, integration layers, observability, and production-readiness.
</p><p>Experience operating in complex, regulated, or highly governed environments.
</p><p>Strong stakeholder management, executive communication, prioritisation, and delivery leadership skills.
</p><p>Ability to define and measure outcomes, not just deliver outputs.
</p><ul><li>We are looking for people who can thrive in a fast-moving, AI-enabled, high-trust team environment. The strongest candidates will be:
</li></ul><p>Comfortable with ambiguity and able to create structure without waiting for perfect framing.
</p><p>Curious, self-directed, and able to learn new domains quickly.
</p><p>Collaborative and team-oriented, with a willingness to build on others&rsquo; ideas and adapt when evidence changes.
</p><p>Confident giving and receiving constructive feedback across all levels.
</p><p>Resilient under pace, feedback, uncertainty, and changing priorities.
</p><p>Strong communicators who can explain decisions, trade-offs, and risks clearly.
</p><p>Evidence-led rather than opinion-led.
</p><p>Risk-aware without being risk-averse.
</p><p>Excited by continuous learning and willing to help others develop.
</p><p>Comfortable operating across product, design, AI, data, engineering, risk, and business strategy.
</p><p>Experience building or scaling AI-enabled products, internal platforms, workflow tools, agents, or automation capabilities.
</p><p>Experience with AI product evaluation, model performance, responsible AI, prompt design, RAG, knowledge graphs, or agent orchestration.
</p><p>Experience in financial services, capital markets, asset servicing, banking, payments, operations, risk, compliance, or data-intensive enterprise environments.
</p><p>Experience working in innovation, venture-building, consulting, transformation, or emerging technology teams.
</p><p>Product certifications, agile certifications, AI specialisations, or advanced degrees are helpful but not required where equivalent experience is demonstrated.<br>
</p><p>At BNY, our culture speaks for itself, check out the latest BNY news at:
</p><p>BNY Newsroom
</p><p>BNY LinkedIn<br>
</p><p></p><p>Here&rsquo;s a few of our recent awards:
</p><ul><li>America&rsquo;s Most Innovative Companies, Fortune, 2025
</li><li>World&rsquo;s Most Admired Companies, Fortune 2025
</li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025<br>
<li>
</li></ul><p></p><p>Our Benefits and Rewards:
</p><p>BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.<br>
</p><p></p><p>BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.</p></div>

Director, Applied AI Product Manager

Databricks

<div><p><b>REQ ID: FEQ127R254</b></p>
<p><b>Location: Hybrid &ndash; London</b></p>
<p>As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.</p>
<p>This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.</p>
<p>The impact you will have:</p>
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul><p>What we look for:</p>
<ul><li>Extensive experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification preferred but not essential</li>
</ul><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Senior Forward Deployed Engineer, Full Stack

Soros Fund Management

<div>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world&rsquo;s largest charitable foundations dedicated to advancing justice, human rights, and democracy.
 <br/>
 <br/>
 Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it&rsquo;s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.
 <br/>
 <br/>
 At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.
 <br/>
 <br/>
 Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.
 <br/>
 <br/>
 Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.
 <br/>
 <br/>
 <strong>
  Team Overview
  <br/>
  <br/>
 </strong>
 Reports To: Head of Cloud SRE &amp; DevOps Engineering
 <br/>
 <br/>
 Other Key Relationships: Cybersecurity analysts, Software Development engineers
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 We are seeking a mid-to-senior level engineer to join our Cloud SRE &amp; DevOps Engineering team in London, focused on building, operating, and evolving the cloud infrastructure and delivery platforms that support our trading and investment systems.
 <br/>
 <br/>
 This role sits at the intersection of Cloud Engineering, SRE, DevOps, Platform Engineering, and Production Engineering, and is designed for individuals who take ownership of systems running in production. You will be responsible for designing and operating resilient, scalable environments across AWS and Kubernetes, while enabling engineering teams through modern DevOps and GitOps practices.
 <br/>
 <br/>
 The position reflects a strong Site Reliability Engineering (SRE) mentality, with emphasis on reliability, observability, automation, and operational excellence. You will play a key role in advancing the firm&rsquo;s cloud transformation strategy, ensuring systems are built for performance, stability, and scale.
 <br/>
 <br/>
 This is a hands-on role requiring deep technical expertise, accountability for production systems, and a mindset oriented toward continuous improvement, risk management, and engineering efficiency. The role also contributes to evolving platform capabilities supporting AI and data-driven workloads.
 <br/>
 <br/>
 You will work closely with software engineering, cybersecurity, and data teams to deliver secure, scalable, and high-performing systems, while improving developer experience and platform maturity across the organization.
 <br/>
 <br/>
 <strong>
  Major Responsibilities
  <br/>
  <br/>
 </strong>
 Cloud Infrastructure &amp; Kubernetes
 <br/>
 <br/>
 Design, build, and operate scalable AWS-based infrastructure supporting trading systems
 <br/>
 <br/>
 Work across hybrid or multi-cloud environments (AWS and Azure)
 <br/>
 <br/>
 Manage and optimize Kubernetes environments (EKS), ensuring resilience, scalability, and performance
 <br/>
 <br/>
 Utilize Kubernetes ecosystem tooling (e.g., Helm) to support application deployment and lifecycle management
 <br/>
 <br/>
 Develop reusable infrastructure using Terraform and infrastructure as code principles
 <br/>
 <br/>
 Database Cloud Management &amp; Administration
 <br/>
 <br/>
 Manage the automated delivery of Snowflake configurations through CICD pipelines
 <br/>
 <br/>
 Help administration of Microsft SQLServer, Snowflake and AWS Aurora
 <br/>
 <br/>
 CI/CD &amp; DevOps Practices
 <br/>
 <br/>
 Design and maintain CI/CD pipelines using tools such as GitHub Actions
 <br/>
 <br/>
 Promote Git-based workflows and support GitOps practices (e.g., ArgoCD)
 <br/>
 <br/>
 Improve deployment reliability, consistency, and engineering velocity
 <br/>
 <br/>
 Production Engineering &amp; Reliability
 <br/>
 <br/>
 Own and operate business-critical production systems with a strong focus on uptime, performance, and risk mitigation
 <br/>
 <br/>
 Troubleshoot and resolve complex issues across distributed systems, cloud infrastructure, and Kubernetes environments
 <br/>
 <br/>
 Implement and enhance monitoring, logging, and alerting using tools such as Datadog, AWS CloudWatch, Geneos, and LogicMonitor
 <br/>
 <br/>
 Apply cloud security best practices, including IAM, secrets management, and vulnerability scanning
 <br/>
 <br/>
 Support and optimize relational database systems (e.g., PostgreSQL, MySQL, SQL Server, Aurora), ensuring performance and high availability
 <br/>
 <br/>
 Contribute to backup, recovery, and resilience strategies across infrastructure and data layers
 <br/>
 <br/>
 Drive improvements aligned with SRE principles, including reliability, observability, and operational maturity
 <br/>
 <br/>
 Developer Enablement
 <br/>
 <br/>
 <strong>
  Improve Developer Experience Through Automation, Standardization, And Self-service Capabilities
  <br/>
  <br/>
 </strong>
 Partner with engineering teams to streamline development and deployment workflows
 <br/>
 <br/>
 AI &amp; Emerging Workloads
 <br/>
 <br/>
 Support infrastructure for AI/ML and data-driven workloads, including scalable compute and data processing patterns
 <br/>
 <br/>
 Enable deployment patterns for modern, data-intensive applications
 <br/>
 <br/>
 Evaluate emerging technologies relevant to AI-enabled platforms
 <br/>
 <br/>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 Core Technical Expertise
 <br/>
 <br/>
 Strong hands-on experience with AWS in production environments
 <br/>
 <br/>
 Experience working in hybrid or multi-cloud environments (AWS and Azure)
 <br/>
 <br/>
 Deep experience with Kubernetes and containerized systems (Docker, EKS)
 <br/>
 <br/>
 Strong familiarity with Kubernetes tooling, including Helm
 <br/>
 <br/>
 <strong>
  Proven Experience With Infrastructure As Code (Terraform Preferred)
  <br/>
  <br/>
 </strong>
 Strong experience building and managing CI/CD pipelines (GitHub Actions or similar)
 <br/>
 <br/>
 Proficiency in Python, Shell, or PowerShell for automation
 <br/>
 <br/>
 Production &amp; Systems Engineering
 <br/>
 <br/>
 Strong understanding of distributed systems, networking, and cloud architecture
 <br/>
 <br/>
 Experience operating and supporting production systems with high availability and performance requirements
 <br/>
 <br/>
 Experience diagnosing and resolving complex production incidents in distributed environments
 <br/>
 <br/>
 Experience supporting relational databases (e.g., PostgreSQL, MySQL, SQL Server, Aurora) in cloud environments
 <br/>
 <br/>
 Monitoring &amp; Observability
 <br/>
 <br/>
 Hands-on experience with observability tools such as Datadog, AWS CloudWatch, Geneos, or LogicMonitor (or comparable enterprise monitoring platforms), including designing metrics, alerts, and dashboards for production systems
 <br/>
 <br/>
 DevOps &amp; Engineering Practices
 <br/>
 <br/>
 Strong grounding in DevOps methodologies, including automation, continuous delivery, and infrastructure standardization
 <br/>
 <br/>
 Experience working with Git-based workflows and modern software engineering practices
 <br/>
 <br/>
 Ability to balance speed, stability, and risk in production environments
 <br/>
 <br/>
 Professional Attributes
 <br/>
 <br/>
 Strong analytical and troubleshooting skills
 <br/>
 <br/>
 Ability to operate effectively in high-performance, time-sensitive environments
 <br/>
 <br/>
 Clear communication across technical and non-technical stakeholders
 <br/>
 <br/>
 Ownership mindset with accountability for critical systems
 <br/>
 <br/>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 AI &amp; Data
 <br/>
 <br/>
 Experience supporting AI/ML workloads or data platforms
 <br/>
 <br/>
 Familiarity with LLM APIs, vector databases, or GPU-based environments
 <br/>
 <br/>
 Exposure to modern data platforms such as Databricks, Google BigQuery, or Amazon Redshift
 <br/>
 <br/>
 Financial Services
 <br/>
 <br/>
 Experience supporting trading or investment systems
 <br/>
 <br/>
 Understanding of trading workflows (OMS, order entry, trade booking), market data, or FIX protocol
 <br/>
 <br/>
 <strong>
  What We Value
  <br/>
  <br/>
 </strong>
 Bachelor's degree in Engineering, Computer Science, Information Systems, or equivalent experience.
 <br/>
 <br/>
 Hands-on experience with cloud platforms such as AWS, Azure, and Snowflake, with a solid understanding of IaaS, PaaS, and SaaS in hybrid environments.
 <br/>
 <br/>
 Experience in cloud infrastructure or server-side development, with a fundamental understanding of containerization and Kubernetes.
 <br/>
 <br/>
 Proficiency in programming languages like PowerShell and Python, with experience in DevOps tools such as Terraform, Docker, and Kubernetes.
 <br/>
 <br/>
 Deep understanding of CI/CD tools (e.g., Octopus, Bamboo, Azure DevOps, Git Actions) and configuration management.
 <br/>
 <br/>
 Expertise in automation scripting, infrastructure as code (IaC), and immutable infrastructure using tools like AWS CloudFormation or Terraform.
 <br/>
 <br/>
 Familiarity with observability frameworks (DataDog, OpenSearch, and LogicMonitor).
 <br/>
 <br/>
 Familiarity with networking, storage, and database concepts.
 <br/>
 <br/>
 Ability to craft clear, effective communications for both technical and non-technical audiences.
 <br/>
 <br/>
 Strong analytical and troubleshooting skills, attention to detail, ability to multitask, and work effectively in a fast-paced environment.
 <br/>
 <br/>
 Proficiency in writing scripts using Python, PowerShell, Bash, and experience with technologies like Docker, Lambda functions, and Kubernetes.
 <br/>
 <br/>
 Hands-on experience with Terraform, Packer, Git, and Jira is considered a plus.
 <br/>
 <br/>
 Integration with JIRA and GitHub is a plus
 <br/>
 <br/>
 Experience in designing, developing, and implementing ETL/ELT processes using Snowflake and related technologies.
 <br/>
 <br/>
 In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.
 <br/>
 <br/>
 <strong>
  In all respects, candidates need to reflect the following SFM core values:
  <br/>
  <br/>
 </strong>
 <strong>
  Integrity // Teamwork // Smart risk-taking // Owner&rsquo;s Mindset // Humility
  <br/>
  <br/>
 </strong>
 <strong>
  Discover how SFM continues to drive impactful investments and supports the global mission of the Open Society Foundations.
 </strong>
</div>


Cloud SRE & DevOps Engineer

Explore 233+ Ai engineering manager in London this July. Find roles across top companies and apply now to boost your career.

233 ai engineering manager jobs In London

Engineering Manager

Associate Director, AI Products Engineering, London

Technical Product Owner / Technical Product Manager – Agentic AI (Lead I - Software Engineering)

Engineering Manager

Director, Applied AI Product Manager

Senior Forward Deployed Engineer, Full Stack

Cloud SRE & DevOps Engineer