Top Engineering Jobs in London

As a Software Engineer, you will develop solutions for a cutting-edge trading system, enhance a petabyte-scale data platform, and apply engineering best practices.

Lead Product Engineer responsible for technical leadership, product development, cloud architecture, AI integration, prototyping, and problem-solving in a data engineering context.

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.

Join a one-day Engineering Insights Day event for women to learn about software and data engineering roles at NatWest Group, network, and gain skills for potential internship opportunities.

The Director of Engineering will lead and scale a high-performing team, drive technical decisions, optimize processes, and ensure effective collaboration across functions.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

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

Manage a team of AI Deployment Engineers to drive Codex adoption across clients, ensuring effective AI-enhanced development workflows and scalable solutions.

Senior technical authority for electrical engineering across EMEA data centre portfolio. Lead design governance, resilience validation, technical assurance, and delivery of HV/MV/LV, UPS, generator, protection, and energy systems from concept through commissioning. Drive reference designs, standards, consultant oversight, innovation (battery storage, liquid cooling), and cross-functional alignment to ensure constructability, operational readiness, and long-term platform performance.

As an Engineering Lead, you'll develop features, shape technical architecture, support team growth, and ensure code quality and performance.

Provide senior administrative and operational support to the Co-AIMS research hub, managing complex systems and queries, organising events, producing and analysing data reports, supporting budgets and procurement, delivering secretariat services, and advising colleagues. Act as a key contact for stakeholders, support operational process development, and assist with international visitor arrangements, compliance, and equality/diversity activities to ensure successful hub delivery.

Manage and optimise education administration across the College, lead education projects, develop policy and procedures, support curriculum integrity, represent the College in committees, coach and train staff, and deliver change to meet University quality and strategic goals.

Lead a team of 4-6 software engineers with ~40% hands-on technical work. Drive architecture, coding standards, CI/CD, observability, incident playbooks, SLOs, and predictable delivery. Collaborate with Product and stakeholders, improve developer workflows and tooling, automate toil, and recruit and develop talent while fostering inclusive, high-performing teams.

Lead and grow the data engineering and ML teams, own technical strategy and delivery for data infrastructure and model estate, translate business goals into scalable data and ML solutions, partner with product/marketing/commercial leadership, hire and develop engineers, and drive adoption of AI-led development while remaining hands-on.

Lead design and implementation of scalable generative AI services and reusable components using Python. Drive architectural decisions, deploy containerized applications on Kubernetes (EKS), ensure scalability/observability and CI/CD, mentor engineers, and collaborate with product and research teams to productionize LLM capabilities.

As VP of Engineering, you'll drive the technical vision and operational excellence of Navigation SDK and app offerings, leading teams to innovate customer navigation experiences and integrate systems across platforms.

Lead and grow engineering teams to design, build, and operate scalable AWS-based systems. Define cloud architecture and technical strategy, improve CI/CD and DevOps practices, oversee project delivery, optimize AWS infrastructure for performance and cost, implement monitoring and disaster recovery, and collaborate with product and executive leadership to align engineering priorities with business goals.

Lead a global team to build, maintain and improve detection logic across MXDR technologies (EDR, NDR, SIEM). Set strategy, manage senior detection engineers, collaborate with TI/DFIR/Red Team, ensure high-fidelity detections with low false positives, apply data science to improve detection and SOC efficiency, and provide transparent client coverage reporting.

Lead and grow an SRE team responsible for stateful/data layer platforms (YugaByte, Kafka, Elasticsearch, Redis, Spark) across multi-cloud Kubernetes environments. Set reliability strategy, collaborate with Engineering/Product/Security, drive observability, incident management, automation, hiring, onboarding, and technical decision-making to ensure resilient, scalable services.

Lead the design and execution of advanced technical solutions for hyperscale and enterprise clients in data centers and AI environments, ensuring efficient, scalable solutions align with customer needs.

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.

The Engineering Manager for Site Reliability will lead teams ensuring operational excellence, incident management, and monitoring across platform services to support product development and enhance reliability.

The Engineering Manager will lead strategy, design, delivery, and operations of research and trading technology systems, managing a talented team and enhancing solutions for developers and researchers.

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.

Lead end-to-end technical delivery of AI/LLM deployments: translate business outcomes into technical plans, run cross-functional execution, embed with customers for adoption, manage dependencies and sequencing, measure ROI, and codify reusable solution patterns while partnering with Product and Research.