Top Engineering Manager Jobs in London

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Lead and grow an analytics engineering team to build self-service analytics: own semantic layer, core dbt models, dashboards, and Lightdash adoption. Establish governance, modeling standards, testing, documentation, and enablement while partnering with analysts and Data Engineering to deliver scalable, production-quality data products.

Leads and grows an agentic engineering team building reliable AI development systems. Sets technical direction for agent harnesses, integrations, workflows, model-provider abstractions, tool use, context management, and long-running execution. Partners with Product and Design, contributes to architecture and implementation, improves system reliability and performance, and coaches engineers while maintaining strong execution standards.

The Engineering Manager Lead at Pigment will oversee delivery accountability and manage Engineering Managers and Technical Leads, ensuring clear priorities and effective team performance. They will partner with product and technical leadership to drive community delivery, resolve staffing challenges, and lead community initiatives.

This role provides technical leadership for Track Systems scope, managing design delivery in compliance with HS2 requirements and ensuring integration across various teams while mitigating risks and ensuring compliance with technical standards.

Lead and manage an ML engineering team building post-origination credit models for repayment, collections, recovery, and loss mitigation. Define technical strategy, design and scale ML solutions, partner with product, engineering and risk, mentor engineers, and operationalize models to minimize loan loss and personalize collections.

Lead the engineering team responsible for Testlio’s core platform capabilities. Set technical direction, own delivery and roadmap execution, modernize legacy systems, and build production agentic workflows using AI. Contribute hands-on through coding, architecture, reviews, production support, reliability improvements, and observability. Partner with product and AI/ML teams while mentoring engineers, improving development standards, and reducing technical debt.

Lead and mentor a team of software engineers building and maintaining a Network-as-a-Service platform. Drive technical vision aligned with product goals, coach engineers into product-minded contributors, reduce technical debt, evaluate new technologies, coordinate tasks and goals, and foster continuous improvement and career growth.

Lead and grow a Europe-based full-stack engineering team building the Affirm App and direct-to-consumer products across international markets. Own the full software lifecycle, set technical roadmaps, hire and develop engineers, ensure reliability and scalability for millions of users, and drive cross-functional alignment with product, design, data, and business partners.

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.

Lead and develop a team of engineers focusing on real-time music sharing experiences, collaborating across various technologies and ensuring high-quality user experiences.

Lead and develop a UK & Ireland pre-sales Solutions Engineering team focused on SolarWinds Core & Observability (SaaS and self-hosted). Partner with sales to drive technical pre-sales, solution design, demos, and POCs; optimise coverage and metrics; collaborate with Product, Engineering, and Customer Success; enable the team with training, certifications, and best practices to win business.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Lead and manage a Research Engineering team responsible for delivering applied research and trading platform features. Own roadmap, hiring, career development, performance management, cross-functional coordination with Trading and Quant teams, and delivery predictability while improving processes and team culture.

Lead engineering squads building production-grade AI agent and API/event management features. Translate product vision into architecture, drive AI-assisted development, ensure quality, hire and coach engineers, align team objectives with product goals, and resolve software quality issues.

Lead and manage a team of engineers to deliver the product roadmap; collaborate with Product and Client Services; participate in design reviews; measure team impact; contribute to product strategy and engineering initiatives; perform hands-on coding, code reviews, and support career development and recruitment.

Lead a new Pricing - Buyer Value engineering squad (iOS + backend), own delivery, team health, and cross-functional alignment. Hire and line-manage 4–6 engineers, partner with Product, Design, ML and Analytics, drive experimentation and data-driven decisions, establish ways of working, and foster inclusive culture, coaching, and career growth.

The Platform Engineering Manager oversees cloud operations, ensuring secure, reliable services and team leadership in platform engineering. Responsibilities include cloud infrastructure management, governance, incident management, and fostering a culture of continuous improvement.

Lead and develop a team of Analytics Engineers within a business domain, own the analytics engineering roadmap, ensure data product standards (SLAs, observability, contracts), review models and SQL, contribute to tooling and standards, hire and grow talent, and align analytics work to business priorities.

The Senior Engineering Manager will lead multiple engineering teams, drive technical excellence, and shape product strategy while managing growth in a fast-paced environment.

Lead global technology operations strategy and teams to ensure reliability, scalability, and resilience across cloud, network, and on-premises platforms. Drive AI-enabled and automation-first practices, enforce ITSM/ITIL standards, own incident command and executive communications, optimize costs, manage vendor relationships and budgets, and develop a distributed leadership team focused on data-driven continuous improvement.

Lead a small engineering team, own technical direction, delivery, hiring and team health. Stay hands-on with code reviews and shipping, unblock teams, work with product to prioritize work, give feedback and run performance reviews, and raise engineering standards.

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.