Top Engineering Manager Jobs in London

Lead and grow a high-performing engineering team building scalable, customer-facing products. Own engineering delivery, architecture, code quality, observability, incident response, and engineering culture. Partner with product, design, mobile, backend and AI teams to turn ambiguous problems into production systems while coaching engineers and improving processes to deliver reliable, high-quality outcomes.

Lead and manage a cross-functional engineering team to deliver and scale customer-facing products. Own architecture, delivery, reliability, observability, and production outcomes. Coach engineers, run reviews, improve processes and tooling, and drive technical decisions across frontend, backend, APIs, databases, integrations, and infrastructure.

Lead and manage a cross-functional engineering team to deliver reliable, scalable customer-facing products. Drive architecture, code quality, testing, observability, incident response, and engineering processes. Coach and develop engineers, prioritize work with product and design, and ensure fast, high-quality delivery from idea through production.

Lead and manage a cross-functional engineering team to deliver reliable, scalable wealth-management products. Drive architecture, code quality, observability, incident response, and engineering culture while coaching engineers and improving processes to increase delivery speed and reliability.

The Engineering Manager leads engineering and capital projects, manages maintenance, promotes safety, and ensures compliance while driving operational improvements and team development.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable payment and AI-integrated products. Own technical architecture, delivery, code quality, observability, incident response, and engineering processes while coaching engineers and driving product-focused outcomes.

Lead and manage a cross-functional engineering team to design, build, and operate customer-facing products. Own technical architecture, delivery, code quality, reliability, observability, and incident resolution while coaching engineers and improving processes to scale product and engineering outcomes.

Lead and manage a cross-functional engineering team to deliver scalable, reliable wealth management products. Own architecture, delivery, code quality, observability, incident response, and engineer development while partnering with product, design, mobile, backend and AI teams to turn ambiguous problems into production systems used by millions.

Lead and manage a cross-functional engineering team to design, build, and operate production systems. Own technical architecture, delivery, reliability, and processes. Coach engineers, run reviews, resolve incidents, and drive product outcomes while balancing speed, scalability, and quality.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable production systems. Own technical architecture, delivery, code quality, observability, incident response, and engineering processes while coaching engineers and driving product outcomes in partnership with product, design, mobile, backend and AI teams.

Lead and grow an MLOps engineering team to productionise, deploy and operate scalable ML and AI products (batch and online), define MLOps tooling and processes, ensure observability and reliability, and partner across engineering, data and product to drive maintainable, impactful ML systems.

The Engineering Manager will lead a high-performing team, define technical strategy, evolve research technology, and enhance research output through efficient innovations.

Lead a London-based connectivity engineering team building proxy, OAuth, and token-management infrastructure for Anthropic products. Hire, coach, and develop engineers; drive roadmap, cross-org alignment, reliability, incident response, and engineering best practices; collaborate with SF teams and partner product, security, and platform groups.

Lead and grow an AI Platform engineering team that builds shared ML infrastructure powering Flo's AI features. Own roadmap, coordinate cross-team delivery, provide technical stewardship (~20% hands-on), ensure safety and medical compliance, and act as primary stakeholder contact and partner representative.

Lead and grow a Predictive Growth Optimisation team to own Flo's pLTV system, build Marketing Mix Modeling, and develop real-time algorithms and production ML systems that optimize user acquisition and marketing spend while partnering with Growth, Product, and Finance.

Lead a 0-to-1 pilot team to find and fix high-leverage SDLC friction, instrument system-level metrics (MRPM, pipeline success rate, latency), recruit and mentor four engineers, design and implement durable fixes, and drive adoption across engineering teams while reporting metric-driven outcomes to leadership.

Lead and grow the Integrations engineering team that connects Yuno to PSPs, acquirers, and gateways. Provide technical and people leadership, set architecture and API standards, contribute hands-on to backend development, ensure scalability, reliability, security, and cross-functional alignment with Product and Payments teams while mentoring engineers and driving engineering best practices.

Lead and grow small autonomous engineering pods to own end-to-end product outcomes. Hire and onboard engineers, manage people and technical delivery, ensure sound architecture and incident management, partner with Product for readiness, coach a Tech Lead, and embed AI-assisted development practices while contributing technically off the critical path.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

The Engineering Manager will lead the Forward Deployed Engineers, manage deployments of North platform, optimize performance, and ensure customer success while collaborating with Product and Sales teams.

Lead and manage engineering teams focusing on delivery, people management, hiring, mentoring, and operational excellence. Collaborate with product partners to prioritise and scope work, ensure quality and security standards, run Agile ceremonies, and manage 24/7 support when needed. Occasionally write and review code.

Manage distribution and automation engineering projects including charter development, budget and timeline tracking, supplier specifications and contracts, consultant engagement, coordination with internal teams, capital expenditure preparation, and oversight of construction/installation, testing, training, and startup. Role requires extensive travel (up to 75%).

Lead and grow multidisciplinary engineering teams building high-scale backend services, data pipelines, and AI agent workflows to detect, validate, and deliver live navigation incident updates. Drive day-to-day execution, on-call operations, sprint planning, hiring, mentoring, cross-team collaboration, product strategy, and operational metrics to ensure reliable, scalable delivery for global customers.

Lead and develop a team of Forward Deployed Engineers to execute customer onboarding, on-site deployments, troubleshooting, and sustained adoption of the Hivemind SDK. Drive field feedback into product, translate mission goals into technical milestones, and partner with engineering and product teams to improve deployment readiness and customer outcomes.

The Engineering Manager will lead a team to transform the platform into a cohesive product, overseeing delivery timelines and ensuring team growth and performance. Responsibilities include dealing with ambiguity, driving cross-functional collaboration, and promoting a high-performing culture within engineering teams.