Top Engineering Jobs in London

Leads multiple distributed engineering teams supporting SciVal’s large-scale research analytics platform. Sets technical strategy, architectural standards, and roadmap execution across frontend, backend, data, and quality engineering. Develops engineering leaders, manages workforce planning, and drives platform modernization, reliability, security, and operational resilience. Partners with Product, Data, Architecture, UX, customers, and commercial stakeholders to deliver analytics, AI-assisted, search, and agent-ready capabilities.

Leads multiple distributed engineering teams supporting SciVal, a large-scale research analytics platform. Sets engineering strategy, architectural standards, and technology roadmaps across search, data, analytics, APIs, and platform integration. Develops engineering leaders, manages workforce planning and delivery, drives platform modernization, and establishes standards for quality, security, observability, resilience, and technical debt. Partners with Product, Data, Architecture, UX, Security, and customers to deliver AI-enabled, agent-ready analytics experiences.

Own engineering quality across the organization through quality gates, SLOs, incident follow-ups, risk reporting, performance testing, and shift-left practices. Lead AI adoption in testing, contribute to test frameworks and CI pipelines, and hire and manage Quality Engineers embedded across teams. Partner with senior stakeholders to drive quality initiatives, improve reliability, and establish a company-wide quality mindset for large-scale B2C products.

Leads Marex’s enterprise Quality Engineering and Assurance capability in a regulated financial-services environment. Owns the risk-based quality framework, testing standards, quality gates, traceability, evidence, and assurance model. Drives adoption of automation-first, continuous, AI-augmented testing integrated with CI/CD, while providing independent challenge and governance. Partners with engineering, security, risk, compliance, and architecture teams to improve operational readiness, control effectiveness, auditability, and technology delivery outcomes.

Leads the engineering operations capability across quality engineering, environment management, release readiness, engineering assurance, risk controls, resilience, and continuous improvement. Owns engineering standards and quality frameworks, drives automation and DevSecOps adoption, oversees partner and outsource-provider performance, and uses metrics and risk insights to improve delivery confidence. The role requires senior stakeholder influence and strong engineering leadership within a complex, regulated environment.

Build and lead the Platform Desktop Engineering team, owning service availability, security, performance, support, roadmap, provisioning, image builds, automation, monitoring, hardware lifecycle, capacity, and budget. The role requires hands-on Linux expertise, production service ownership, enterprise security judgment, stakeholder management, and collaboration across infrastructure, security, identity, support, and HR teams.

Leads an AI Enablement engineering team delivering enterprise AI agents, generative AI platforms, MCP integrations, and automation capabilities. Responsibilities include people management, technical strategy, architecture reviews, roadmap ownership, secure Azure platform delivery, governance, observability, stakeholder management, and operational resilience. The role requires strong experience with AI engineering, enterprise platforms, integrations, security, Agile delivery, and regulated environments.

Lead the operating model for Product, Engineering, and Design, establishing leadership rituals, product reviews, calibration sessions, release gates, and continuous improvement practices. Embed AI-driven tools and automated workflows into the product development lifecycle, coordinate regulatory and compliance checks, and hold senior leaders accountable for improving how teams build and ship products.

Lead capital engineering projects (up to £2M) across high-hazard chemical sites, delivering safe, on-time, on-budget solutions. Manage multidisciplinary teams, contractors, budgets, risks, compliance (SHE/COMAH), procurement, governance reporting, and stakeholder engagement. Mentor colleagues handling smaller local projects.

Manage and coach a regional Sales Engineering team to qualify and close opportunities. Lead technical customer engagements, support demos and POCs, recruit and onboard talent, collaborate with Product, Support, and Enablement, and run performance reviews and development plans.

Lead and mentor a distributed team of software engineers building scalable business onboarding experiences. Set technical and product direction with product managers, designers, and analysts; own roadmap delivery, engineering quality, team health, hiring, and professional development. The role requires hands-on expertise in Java, REST APIs, microservices, distributed systems, and CI/CD, along with a strong customer and product mindset.

Nine-week engineering internship at LSEG designed to mirror its graduate technology programme. Interns may work across data and analytics, markets, risk intelligence, FTSE Russell, and engineering functions, with opportunities in programming, business analysis, and technology project management. Responsibilities will be matched to candidates’ skills and interests. The programme includes technical and coding assessments, online assessment, video interview, and an in-person assessment centre.

Leads the EMEA engineering strategy, architecture, development, and operational excellence of low-latency client connectivity, order management, algorithmic trading, and DMA platforms. Manages and mentors distributed engineering teams, partners with senior business and technology stakeholders, defines multi-year roadmaps, and drives resilient, high-performance delivery. Champions engineering quality, automated testing, performance optimization, AI-powered development, Agile practices, CI/CD, monitoring, reconciliation, and application recovery.

Leads the design, development, and delivery of scalable cloud data pipelines and products. Manages and mentors data engineers, establishes engineering standards, ensures data quality and governance, translates business requirements into technical solutions, and drives architecture decisions. The role uses Databricks, AWS, Spark, SQL, Python, Infrastructure as Code, CI/CD, and AI-assisted development tools to support analytics, reporting, machine learning, and business decision-making.

Lead the Identity Platform engineering team, developing scalable authentication and authorization services for human, service, and bot identities. Responsibilities include team growth, roadmap and delivery ownership, architecture leadership for AWS and BigQuery-based distributed systems, operational reliability, cross-functional collaboration, hiring, and responsible AI adoption. The role requires hands-on software engineering credibility, identity and access management experience, fintech exposure, and strong leadership and communication skills.

Leads technical pre-sales engagements for application modernization, cloud-native architectures, AI solutions, and developer productivity. Designs and demonstrates Azure-based solutions, conducts workshops and proofs of concept, advises technical and business stakeholders, supports sales opportunities, and guides customers through adoption. The role covers Kubernetes, containers, APIs, DevOps, generative AI, Copilot technologies, security, governance, and hybrid cloud architecture while contributing reusable technical assets and mentoring peers.

Develop and maintain distributed components of the Neo4j database, including high availability, consistency, scalability, and deployment features. Build functionality across the database and managed Aura service, collaborate with support engineers, SREs, product managers, and distributed teams, troubleshoot complex production issues, and contribute to high-performance Java systems, Kubernetes operators, and stateful distributed architectures.

Designs and delivers revenue enablement programs for Solution Engineering teams. Responsibilities include needs analysis, role-based learning journeys, technical workshops, coaching, readiness certification, enablement content development, program management, impact measurement, and cross-functional alignment with Sales, Product Marketing, and Account Executives.

Graduate Engineer in Savills’ Engineering and Design Consultancy team, supporting MEP design, site inspections, design calculations, technical reports, specifications, client meetings, and sustainable low-carbon building solutions. The role provides broad exposure to engineering services, intelligent buildings, controls, security, and vertical transportation while supporting progress toward Chartered Engineer status through CIBSE. Candidates should demonstrate collaboration, attention to detail, numerical and report-writing ability, organization, initiative, and strong problem-solving skills.

A 24-month graduate programme specializing in façade engineering. The role involves inspecting and diagnosing façade issues, contributing to maintenance and replacement strategies, advising on design and performance, and guiding clients on compliance, risk management, sustainability, and value. Graduates receive structured technical and behavioural training, professional development support, and opportunities to pursue an MSc in Façade Engineering or Society of Façade Engineering membership.

Lead a team building backend systems for business expense management (receipts, expense reports, bookkeeping, card products). Own the technical roadmap, drive architecture and implementation, mentor engineers, collaborate with product and cross-functional squads, and apply LLM technologies to automate document scanning, categorization, and reconciliation.

Lead and develop a high-performing engineering team while remaining involved in technical design, code reviews, architecture, and scalable system development. Translate product goals into reliable solutions, partner with product, design, and data teams, mentor senior engineers, support hiring, and drive operational excellence, system reliability, and sustainable delivery.

Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue trackers, documentation, and developer environments. Apply evaluation, testing, monitoring, and feedback practices to non-deterministic AI systems while collaborating with developers to improve engineering workflows and platform architecture.

Leads a distributed engineering team across hiring, development, performance, delivery, and technical quality. Partners with product management on roadmaps, manages dependencies, drives planning and retrospectives, and oversees reliability, observability, testing, incidents, and operational follow-up. Contributes to engineering-wide standards and process improvements while developing engineers and ensuring the team delivers meaningful, maintainable outcomes.

Industrial placement opportunities across GSK engineering, pharmaceutical manufacturing, process development, automation, sustainability, facilities, maintenance, and R&D teams. Students will support equipment installation, reliability, process optimisation, data analysis, modelling, validation, continuous improvement, sustainability initiatives, and capital projects. Placements are approximately one year starting July 2027, with roles based in Ware, Montrose, Stevenage, Worthing, or Barnard Castle. Most roles require full-time onsite work, while some offer flexible arrangements.