Top Engineering Manager Jobs in London

Leads and develops an engineering team building Agentic Discovery products that help businesses make digital properties readable, discoverable, and callable by AI agents. Responsibilities include managing people and execution, shaping product roadmaps, overseeing distributed systems and web-scale data pipelines, ensuring reliability and data quality, supporting incident response, and developing technical leaders across indexing, agent observation, AEO, WebMCP, APIs, and Generative UI.

Lead Risk Engineering in London by managing and developing a high-caliber engineering team, setting technical standards, defining platform strategy, and overseeing execution. Own risk platforms across the trading lifecycle, from data and forecasts through execution and PnL. Partner with risk analysts, traders, portfolio managers, and engineering teams to translate complex requirements into highly available solutions. Remain hands-on with architecture and development while managing stakeholders, roadmaps, delivery, performance, and team growth.

Lead and mentor a team of engineers while remaining hands-on in full-stack development. Design and deliver scalable product features, guide architecture and technical decisions, maintain code quality, security, and performance standards, and collaborate with Product and Design. The role involves reviewing code, developing engineers, improving DevOps practices, and ensuring the team operates effectively in a fast-paced, five-day in-office London environment.

Manage and develop a UK&I sales engineering team supporting enterprise customers. Partner with account executives and sales leaders on account strategy, participate in customer calls, resolve pre-sales escalations, demonstrate Samsara’s IoT and SaaS platform, and collaborate with product, support, marketing, and customer success teams to improve sales engineering performance.

Lead and grow the engineering team building Cloudflare’s agentic commerce and machine-to-machine payment infrastructure. Own people development, execution, architecture quality, reliability, security, and operational health across payment pipelines, authentication, metering, pricing, and revenue attribution systems. Partner with Product Management and other engineering teams to shape strategy and deliver products using emerging payment protocols, web-scale infrastructure, and hybrid fiat/crypto technologies.

Leads a distributed team of Site Reliability and Backend Engineers responsible for GitLab.com's asynchronous processing and caching platforms. Owns reliability, service-level objectives, capacity planning, incident response, on-call operations, Redis upgrades, operating system patching, deployment architecture, and migration to a durable workflow engine. Manages hiring, development, quarterly planning, roadmap execution, and coordination across globally distributed teams.

Leads Atlassian’s EMEA Solutions Engineering and Architecture team for DX. Responsibilities include recruiting and mentoring team members, supporting strategic pre-sales opportunities and POCs, overseeing implementations, standardizing technical processes, allocating resources, tracking KPIs, and advocating for customer needs with Product and Engineering. The role requires strong understanding of software engineering organizations, SDLC, DORA metrics, SPACE, APIs, SQL, Git, and executive stakeholder management.

Lead full-stack engineering teams responsible for Multiverse’s Diagnose & Prescribe service estate. Own delivery, technical direction, architecture, team development, and operational quality across AI assessment, eligibility, recommendation, onboarding, and platform modernization. Stay hands-on with distributed systems, event schemas, APIs, production code, and AI-native development practices while partnering with Product, Design, and go-to-market teams.

Manage a distributed team of senior and staff engineers developing and scaling Gitaly, GitLab’s Git storage tier. Drive complex infrastructure, performance, scalability, architecture, and maintainability initiatives while balancing roadmap and platform priorities. Provide mentoring, career development, technical guidance, and accountability. Collaborate asynchronously with Git and cross-functional teams, represent Gitaly’s technical direction, and ensure long-term platform viability through sound architectural judgment.

Lead OpenAI’s Startups Applied AI Engineering team, establishing its strategy and operating model while managing technical customer-facing engineers. Guide startups from experimentation to production through architecture advice, deployment support, technical escalations, and scalable playbooks. Partner with Sales, Product, Engineering, Research, and go-to-market teams to improve adoption, usage, customer outcomes, and feedback loops. Coach engineers and balance strategic customer engagements with repeatable mechanisms for serving a broad startup segment.

Leads and scales OpenAI’s Applied AI Engineering team serving startups. Responsibilities include developing the team strategy and operating model, coaching technical customer-facing engineers, guiding startups from experimentation to production, supporting competitive migrations, advising founders and CTOs, creating repeatable deployment resources, and synthesizing customer feedback for Product and Research. The role requires balancing hands-on technical depth, customer prioritization, cross-functional influence, and scalable mechanisms across a high-growth, ambiguous segment.

Manage and grow the engineering team, including 1:1s, progression, performance, hiring, and onboarding. Own and improve the software delivery system using flow metrics such as cycle time, WIP, and throughput. Partner with engineering leads, Product, legal, operations, and advisors to improve clarity and delivery. This is a non hands-on management role focused on people leadership, agile delivery, and process improvement.

Leads site engineering, maintenance, capital projects, process safety, compliance, and engineering strategy. Oversees engineering capability, capital investment, operational improvements, safety culture, LEAN efficiency, manufacturing problem resolution, and project assurance. Manages engineering and project personnel while partnering with site leadership and wider engineering teams to reduce operational risk and support sustainable performance.

Lead a hands-on engineering team building Vogue’s digital products. Responsibilities include writing and reviewing production code, setting technical direction, managing architecture and engineering standards, delivering projects, resolving technical issues, and integrating AI tooling. The role also includes line management, mentoring, hiring, performance management, stakeholder communication, delivery planning, and collaboration with product and design teams.

Lead and grow Baseten’s London SRE team while owning the reliability of multi-cloud Kubernetes infrastructure. Responsibilities include incident response, on-call design, SLO and SLI implementation, observability, infrastructure automation, runbooks, self-healing systems, architectural reviews, hiring, coaching, and cross-functional reliability initiatives.

Lead and develop Data Engineers and Analytics Engineers while setting technical direction for Depop’s data and analytics engineering function. Own scalable data pipelines, analytical models, semantic layers, data quality, testing, governance, observability, and AI-assisted engineering practices. Partner with Data Science, Product, Finance, and Engineering leadership to deliver trusted data foundations for analytics, machine learning, and AI-driven decision-making.

Leads frontend engineering for complex, data-heavy SaaS features while remaining approximately 80% hands-on. Builds performant React interfaces for large datasets, filtering, visualization, configuration, and AI experiences. Partners with Product and Design, makes pragmatic technical decisions, and contributes to production delivery. Spends approximately 20% of the role coaching engineers, managing performance and career development, conducting 1:1s, and supporting engineers across multiple teams.

Engineering Manager responsible for building high-performance, scalable frontend experiences while managing and developing up to six engineers. The role includes optimizing frontend performance, enabling resilient real-time collaborative editing, translating product requirements into quality code, coaching team members, conducting performance evaluations, supporting career development, and contributing to engineering initiatives. The position requires senior-level software engineering experience, frontend technology expertise, and at least two to three years of people management experience.

Lead Funding Circle’s Salesforce Platform engineering team, owning platform management, roadmap prioritization, target architecture, and delivery of business and technology objectives. Build and develop an inclusive, high-performing team; improve engineering maturity, productivity, and processes; adopt AI across development lifecycles; partner with stakeholders; mentor engineers; and represent the company at industry events.

Lead an engineering team developing the Zable mobile app platform for over one million customers. Own delivery processes, technical strategy, quality, incident management, cross-team collaboration, and alignment with business goals. Build a high-performing team through coaching, skills assessment, cross-training, and career development while balancing feature delivery with technical investment and maintaining reliable, high-quality software delivery.

Leads Atlassian’s Strategic EMEA Solutions Engineering team across the DACH region, managing distributed teams and shaping sales engineering strategy. Responsibilities include team development, technical sales leadership, executive customer engagement, solution design, AI-led demonstrations, strategic planning, pipeline generation, cross-functional product feedback, enablement, and industry thought leadership.

Leads large-scale engineering programmes across multiple teams, coordinating planning, delivery, risks, dependencies, governance and operational handovers. The role also manages SOX and IT General Controls audit activities, remediation, testing readiness, evidence and control ownership. It partners with engineering, Risk, Compliance and Audit stakeholders, improves reporting and operational processes through data and automation, and drives accountability, training, communication and sustainable business-as-usual practices.

Act as the bridge between Axis and consultant/specifier communities across the Midlands and South West UK. Build and manage A&E programme relationships, advise on product specifications, train on Axis design tools, create thought leadership, align activities with sales to generate pipeline, and collaborate with global A&E peers to share best practices.

Leads and grows a machine learning engineering team responsible for production ML infrastructure, automated training, model evaluation, MLOps pipelines, observability, and low-latency model serving. Provides technical architecture guidance, partners with product and data teams on roadmaps, promotes engineering best practices, and supports technical hiring. The role focuses on reliable ML systems processing large, real-time datasets, with potential emphasis on streaming, time-series, and spatial-temporal applications.

Engineering Manager responsible for co-leading an autonomous energy-focused squad with a Product Manager. The role owns technical decisions, engineering quality, delivery planning, prioritization, operational excellence, security and SLOs, people management, coaching, hiring, performance reviews, stakeholder communication, and team culture. The manager collaborates cross-functionally with UX and Data, aligns team goals with company strategy, manages risks and budgets, and ensures sustainable delivery and technical improvement.