Top Engineering Manager Jobs in London

Lead the Ledger and Recon Platform team, develop key financial products, mentor engineers, and ensure compliance with accounting principles.

As Engineering Manager, you'll lead a team developing performance-sensitive distributed systems, focusing on enhancing APIs and scalability while ensuring security and addressing technical challenges.

Lead a team of engineers to develop innovative storage products, shaping product strategy, ensuring engineering goals, and managing team performance.

The Engineering Manager will lead a team in developing decentralized applications and scalable systems, ensuring the achievement of engineering goals.

Lead and manage an engineering team to deliver reliable logging systems and manage technical execution across complex distributed systems.

As Engineering Manager, you will lead a team to develop financial products, balancing engineering and finance requirements, ensuring security and compliance.

Lead development of IAM products, optimize system security, and enhance user experience, while ensuring engineering excellence and collaborating effectively with teams.

Lead a team of forward deployed engineers to deliver impactful GenAI solutions, manage customer engagements, and improve operational excellence.

The Engineering Manager will lead a team focused on optimizing payment processing, manage project delivery, provide technical direction, and mentor engineers.

Lead a UK-based remote engineering team to design and build capabilities for the Atlas platform, focusing on team management, project planning, and coaching engineers.

Lead the design and implementation of GitLab's authentication infrastructure, focusing on security and performance. Collaborate with multiple teams to ensure effective identity services and support a transition to zero-trust architecture.

The Engineering Manager will lead and scale engineering teams, ensuring high-quality delivery and a user-focused approach in building web applications.

As an Engineering Manager at monday.com, you'll lead the Data group in building mondayDB 3.0, enhance data capacity and resilience, while providing management experience and fostering a collaborative team environment.

Responsible for scoping, planning, executing, and closing small to medium-sized hardware projects while managing cross-departmental teams and ensuring quality deliverables.

Lead and manage two engineering teams to develop AI-enabled products for HubSpot's Sales team. Engage hands-on in coding and foster team growth through coaching and a strong technical vision.

Lead a cross-functional squad to improve products, oversee team development, set engineering strategies, and ensure high-quality delivery for users.

Lead and mentor a team to build resilient AWS infrastructure and DevOps practices, ensuring secure and scalable solutions while promoting a culture of continuous improvement.

Lead the Identity Platform team at Sotheby's, responsible for client data services reliability, team building, and engineering innovations.

The Project Engineering Manager oversees the engineering aspects of projects, manages teams, ensures deliverables meet quality standards, and communicates with clients and stakeholders.

Lead engineering teams to build features aimed at customer acquisition and retention. Collaborate with product and marketing teams, ensuring high-quality engineering work and talent development.

The Engineering Manager leads multi-disciplinary teams to deliver infrastructure projects, ensuring quality, budget, and schedule alignments, mentoring team members, managing technical integrations, and fostering client relationships.

As a Central Project Cost Engineering Manager, you will lead cost estimating functions, develop standards, and coach cost engineering teams while collaborating on capital project estimates and improving cost accountability.

Lead a team of AI engineers to deliver solutions in generative AI, set technical standards, champion customer needs, and drive innovation.

Lead the GPU Kernel team, responsible for writing efficient ML kernels for autonomous vehicles, collaborating with engineers to deploy AI products.

Lead and grow a team of engineers focused on identity and access management, ensuring technical execution, project ownership, and stakeholder collaboration.