Top Engineering Jobs in London

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

As Engineering Manager, you will lead a hands-on team building AI infrastructure, improving developer experience, and supporting ML teams while also contributing to production code.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

Lead global Identity & Fraud engineering teams to drive delivery, modernisation, and AI-native practices. Own people leadership, talent strategy, budgeting, vendor management, and cross-functional partnerships. Embed DevOps, cloud (AWS/EKS), Java/.NET full-stack expertise, and AI tools to deliver scalable fraud and identity products for global B2B clients while ensuring governance, security, and operational excellence.

Serve as the regional expert for endpoint (macOS, iOS, Windows) platform engineering across the Americas, supporting MDM, Intune/Autopilot, zero-touch deployments, scripting automation, lifecycle management, security integration with Entra ID/Azure AD, monitoring, and cross-functional escalation to global teams.

We are looking for Geotechnical, Engineering Geologists, and Tunnel Engineers to deliver ground engineering or tunnelling projects, offering opportunities for professional growth and flexibility in a diverse work environment.

Lead electrical design and engineering for data centre projects, ensuring performance and energy efficiency while managing multidisciplinary teams and building client relationships.

Lead and deliver AI-native customer experiences by designing frontend-to-orchestration architectures, prototyping LLM-driven interfaces, mentoring engineers, running POCs, advising clients on AI transformation, and operationalizing RAG, vector storage, agentic systems, and AI observability.

Lead a cross-functional engineering team across frontend, mobile and backend; own software architecture area; run development processes, incident response, on-call rotation; grow engineers via feedback and performance management; collaborate with product on scoping and prioritization; define metrics and drive system reliability improvements.

Lead new business and account growth for Product & Digital Engineering Services. Own full sales lifecycle from prospecting to close, build CXO relationships, develop partner strategies, represent the company at industry events, and meet quarterly revenue quotas while coordinating cross-functional teams to deliver tailored solutions.

The Technical Engineering Advisor will perform DFM analysis, coordinate product development, liaise with customers and suppliers, implement engineering changes, and support manufacturing processes.

Lead and scale the company's automation infrastructure and products while remaining hands-on. Design orchestration, monitoring, and resilient event/queue-driven workflows; integrate n8n and multiple SaaS tools; build AI/LLM production systems with Claude/OpenAI; ship client-facing and internal products; set engineering best practices, CI/CD, and observability; hire, mentor, and manage an automation engineering team and partner with the founder on technical strategy toward CTO growth.

Lead and scale an n8n-centric automation platform, build full-stack internal and client-facing automation products, design production-grade AI/LLM pipelines, set engineering standards, and hire and manage an automation engineering team to deliver scalable, resilient automation infrastructure.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Provide technical leadership and consultation across Elanco's Small Molecule Network to optimize manufacturing equipment and processes, lead capital and technology evaluations, govern vendor relationships, mentor engineers, and troubleshoot complex issues for liquid and solid dosage form production across Europe and APAC.

Own the full sales cycle for mid-market engineering-led customers: prospect, qualify, demo, negotiate, and close. Build and manage pipeline with hardware, aerospace/defense, and engineering teams, drive high-velocity deal flow, partner with product and engineering to inform roadmap, represent Flow at events, and refine GTM, positioning, and pricing.

Lead and grow a mechanical engineering team delivering complex mechanical systems, enclosures, and thermal solutions from concept through production. Provide technical leadership in mechanical design, thermal/structural analysis, manufacturability, supplier collaboration, NPI, quality, and cross-functional integration while managing budgets, KPIs, and engineering processes.

Lead technical direction and architecture across multiple teams for ASOS customer-facing apps and web. Define standards, resolve cross-team dependencies, champion experimentation and A/B testing, improve engineering practices, coach senior technical leaders, and represent engineering in senior stakeholder discussions to balance delivery speed with long-term platform sustainability.

Hands-on lead responsible for designing, building, and scaling Base360.ai. Architect scalable systems, drive engineering standards, mentor engineers, implement AI/LLM workflows, build integrations (Airbnb, Stripe, Twilio), and automate operations to improve guest experience and operational efficiency.

Define and evolve end-to-end data architecture for real-time news ingestion, enrichment, storage, indexing, and distribution. Develop data standards, schemas, and contracts; normalize metadata for discoverability; ensure observability and lineage; influence platform strategy; collaborate with engineering and product leaders; pragmatically evaluate tools to improve reliability and performance.

As an Engineering Manager, you will lead high-performing teams, mentor engineers, set engineering best practices, and ensure rapid project delivery while collaborating cross-functionally.

Lead and scale a technical support engineering function for a B2B SaaS product. Define strategy, grow specialist talent, modernize support workflows with automation and AI, partner with Engineering/Product/GTM, measure technical effectiveness, drive product improvements, and guide teams through growth and change.

Lead, coach and grow a high-performing software engineering team. Own technical health, reliability and maintainability of customer-facing systems. Partner on architecture and technical strategy, collaborate with Product to balance delivery and technical debt, champion Agile and AI-augmented engineering practices, and ensure alignment with governance, security and risk requirements.

Lead and develop data engineering teams building modern data platforms and large-scale pipelines. Drive technical discussions, improve engineering practices, ensure delivery alignment with product and roadmap, manage incidents, and support hiring, coaching, and cross-functional stakeholder communication to optimise team performance and operational excellence.