Top Engineering Manager Jobs in London

Lead and manage engineering teams responsible for business-critical in-store payments and infrastructure. Drive engineering excellence, reliability, vendor management, modernisation, and delivery across complex, hardware-integrated retail systems while remaining hands-on to resolve production issues.

The Software Engineering Manager will lead a high-performing team, oversee project delivery, provide technical guidance, and enhance software quality and architecture across the M&S Identity Platform.

Manage a software engineering team, oversee Agile project delivery, provide technical leadership, ensure quality standards, and mentor engineers.

Leads an engineering team delivering reliable software and growth experiments across the patient lifecycle. The role partners with Product, Marketing, and Data to translate strategy into scalable solutions, resolve technical blockers, improve engineering processes, optimize workloads, and recruit and mentor engineers. The manager will support experimentation focused on engagement, conversion, retention, revenue, and referrals while maintaining high technical and people-leadership standards.

Leads hands-on test automation, framework development, tooling strategy, QE assessments, and quality engineering practices across client engagements. Mentors automation engineers, manages project-level client relationships, communicates risks and recommendations, and promotes GenAI tools including Playwright with MCP, GitHub Copilot, and Claude. The role combines daily coding and code review with team leadership, framework governance, consulting, and continuous improvement responsibilities.

Leads the Provisioning engineering team building and expanding a cloud-native platform that creates and manages Kubernetes-based development and test environments. Responsibilities include technical design, coding, code reviews, platform strategy, data-driven impact measurement, stakeholder collaboration, engineering best practices, recruitment, process development, and mentoring engineers.

Leads the M&S Cloud Platform engineering team building AI engineering platforms, reusable pipelines, tooling, plugins, frameworks, and developer self-service capabilities. Responsibilities include technical strategy, platform ownership, architecture, DevOps, reliability, vendor management, recruitment, talent development, and line management of senior engineers. The role contributes code while driving engineering excellence, operational reliability, strategic alignment, and improved developer experience across more than 200 engineers and 30 applications.

Leads the team building the SRE function and owns its technical vision, platform capabilities, reusable tooling, pipelines, frameworks, and developer experience. Manages senior engineering staff, drives recruitment and retention, aligns technical strategy, oversees reliability and operational excellence, partners with vendors, and contributes hands-on code. The role requires strong SRE, cloud, software architecture, DevOps, testing, reliability engineering, and people leadership experience.

Leads Engineers, Technicians, and Trainees within a 24/7 automated fulfilment centre. Responsibilities include workload allocation, team development, performance and disciplinary management, maintenance decision-making, engineering standards, safety, and operational support. The role requires hands-on mechanical or electrical engineering expertise, competence across both disciplines, and knowledge of automation hardware, software, production, picking, storage, and material-handling systems.

Leads an engineering team developing secure developer tools, hardened GitHub Actions, AI agent capabilities, and microVM-based products. Owns product roadmaps, hiring, team growth, technical design, code reviews, delivery, quality, reliability, and customer feedback loops. Partners with Product to prioritize and ship iteratively in an autonomous, ambiguous environment while remaining technically hands-on.

Leads SRE and LiveOps teams in improving reliability, performance, security, observability, incident response, and operational excellence for cloud-native SaaS products. The role combines hands-on technical leadership with people management, including architecture reviews, debugging production systems, automation, infrastructure as code, CI/CD, SLOs, technical debt prioritization, mentoring, and cross-functional collaboration with Platform, Security, Product, Support, and Operations teams.

Leads a portfolio of complex technical programs within Forward Deployed Engineering, aligning customer objectives, milestones, dependencies, and delivery outcomes. Drives operational excellence, process innovation, and delivery standards across Professional Services. Serves as a senior technical delivery leader, mentors junior TPMs, coordinates with managers, and applies AI tools to improve program management performance.

Leads go-to-market activities for Forward Deployed Engineering and Training services, independently scoping complex data and AI engagements. Drives full-cycle professional services sales, account expansion, cross-functional alignment, and customer satisfaction. Requires extensive professional services leadership, senior customer-facing experience, knowledge of Databricks architecture and cloud partner programs, large-scale program delivery expertise, and travel of up to 25–50%.

Lead a small engineering squad by setting technical direction, driving delivery and operational excellence, managing risks, and aligning work with company goals. Coach and develop engineers, support hiring and performance reviews, collaborate with Product Managers and cross-functional stakeholders, improve engineering practices, and maintain security, service-level objectives, team culture, and budget accountability.

Lead an autonomous engineering squad alongside a Product Manager, owning technical decisions, delivery planning, operational excellence, security and SLOs. Set goals, prioritize work, manage risks, coach and develop engineers, support hiring and performance reviews, communicate strategy and progress, and collaborate with UX, Data, and senior stakeholders. The role also drives technical quality, team culture, budgeting, and continuous improvement across complex energy-related products.

Manages the Web Platform engineering team, overseeing technical vision, reusable pipelines, tooling, frameworks, developer experience, reliability, and production operations. Leads senior engineers, recruitment, retention, technical strategy, vendor partnerships, OKRs, and engineering excellence. The role combines hands-on software engineering with people leadership, platform ownership, product thinking, and cross-functional influence across customer- and colleague-facing applications.

Lead Zoopla’s four-person Data Engineering team, set technical direction, establish scalable ingestion and export patterns, and build a shared roadmap with platform and product leaders. Own data governance, AI adoption, Fivetran costs and vendor relationships, while coaching engineers and partnering on lakehouse architecture. The role requires expertise in Databricks, dbt, AWS, Terraform, ingestion patterns, data quality, access control, and personal data handling. It is hybrid, with three office days weekly in London.

Manage engineers across intelligence, experience, and platform squads; lead hiring, coaching, performance management, technical ownership, delivery planning, and team development. Partner with Product, technical leads, and the CTO to translate priorities into solutions, manage capacity and dependencies, resolve obstacles, and improve engineering quality. Lead production delivery of distributed systems, data pipelines, and platform services while maintaining customer and business outcome accountability.

Leads the algorithm engineering team and partners with leadership to shape Ki’s underwriting algorithm strategy, architecture, roadmap, governance, and engineering culture. The role manages and develops high-performing engineers, guides machine learning product development, advises executives on technology strategy, supports regulatory compliance, and improves the organization’s digital underwriting capabilities.

Lead engineering transformation in complex environments, focusing on large-scale legacy modernization, AWS cloud migration, platform transformation, and modern software delivery. Design engineering operating, ownership, and leadership models; develop business cases, investment profiles, and delivery roadmaps; and manage stakeholders across Engineering, Product, Delivery, and Enterprise Architecture.

Leads data engineering leaders and multiple squads responsible for Snowflake data products. Owns Data Vault 2.0 modeling, engineering standards, platform controls, access management, masking, cost governance, resilience, quality, automation, CI/CD, and service operations. Oversees portfolio planning, dependencies, risks, delivery partners, and stakeholder engagement while developing engineering capability through recruitment, performance management, and succession planning.

Lead and develop a remote full-stack engineering team of up to eight engineers. Responsibilities include hiring, coaching, career development, technical leadership, architecture, reliability, observability, developer experience, CI, ML tooling, infrastructure cost management, agile delivery, and collaboration with senior leadership to align engineering strategy with business outcomes.

Leads platform-level execution of software and AI/ML systems across multiple teams. Oversees shared infrastructure, development tooling, DevOps, CI/CD, cloud cost optimization, architecture, and system integration. Manages the full software development lifecycle, tracks engineering metrics, mentors engineers and managers, and aligns technical priorities with business goals. The role supports scalable, secure, high-availability data and intelligence platforms while driving continuous improvement and operational efficiency.

Leads platform-level execution of software and AI/ML systems across multiple engineering teams. Oversees shared infrastructure, DevOps, CI/CD, cloud-native architecture, cost optimization, system integration, and full software lifecycle delivery. Partners with product and data teams, guides architectural decisions, mentors engineers, manages stakeholders and technical initiatives, and drives system availability, scalability, maintainability, and continuous improvement.

Lead and develop a team of ~8-10 software engineers, owning delivery, career growth, architecture decisions, and roadmap planning with Product. Drive recruitment, performance reviews, processes for scalable, highly available features, and promote AI-augmented development workflows to improve efficiency and product outcomes.