Top Engineering Jobs in London

Develop and deliver production AI/ML solutions across the full lifecycle using Agile methodologies. Translate business requirements into technical specifications, build secure production code and algorithms, create architecture artifacts, analyze large datasets, develop visualizations, troubleshoot systems, and identify improvements. The role requires expertise in machine learning, Python, Spark, distributed computing, AI frameworks, agentic workflows, and AWS services, while contributing to engineering communities and emerging technology initiatives.

Lead the design and development of production-grade agentic AI applications for Markets Operations. Build reusable AI architecture patterns, orchestration frameworks, context management, evaluation pipelines, guardrails, APIs, infrastructure, and monitoring. Partner with researchers, engineers, data scientists, and operations stakeholders to deliver secure, reliable, compliant AI solutions. Drive continuous improvement, document technical decisions, influence architecture, and mentor engineers.

Lead development of secure, scalable identity and access management services for public cloud platforms. Responsibilities include architecture, system design, production software development, reliability improvement, automation, design reviews, cross-team collaboration, technical leadership, and mentoring. The role requires cloud-native engineering experience, IAM or entitlement governance expertise, proficiency in languages and infrastructure technologies, continuous delivery practices, and a strong focus on security, resilience, and developer experience.

Lead and grow an engineering team responsible for Affirm’s international identity platform, including KYC, user lifecycle management, and identity decisioning. Own technical strategy, multi-quarter roadmaps, architecture, reliability, availability, incident response, and operational improvements. Drive major consumer-facing initiatives, cross-functional alignment, and technical execution across Product, Design, Analytics, and Engineering teams while developing engineers and maintaining a high-trust culture.

Leads and scales Rapid7’s EMEA sales engineering organization, managing Solution Engineers and serving as the region’s strategic technical authority. Partners with sales, marketing, product, engineering, executives, and channel partners to drive revenue, retention, consultative security solutions, strategic proofs of concept, demonstrations, and enterprise deals. Represents the company at industry events and translates customer needs into product strategy while improving forecasting, leadership development, and presales performance.

Manages a globally distributed team of Assigned Support Engineers serving enterprise customers. Responsibilities include hiring, coaching, performance management, escalation leadership, customer recovery planning, cross-functional coordination, KPI tracking, capacity planning, process improvement, automation, and communicating customer outcomes and ROI. The role requires strong technical knowledge, including Linux administration and web application concepts, plus experience supporting production-critical environments.

Build and operate developer productivity tools and shared engineering services used across Wise. Own agentic tooling, security, model access, telemetry, evaluations, and an MCP-based engineering knowledge base. Lead AI enablement through workshops and adoption campaigns, improve developer platforms across the software lifecycle, and use research and data to remove common engineering friction. The role also involves technical leadership, production software ownership, code reviews, system design, and cross-team advocacy.

Lead Wise’s Verification Platform engineering team, managing and mentoring engineers while owning the technical roadmap, architecture, reliability, security, scalability, and operational excellence of business KYC infrastructure. Partner with global product and engineering teams, contribute hands-on when needed, run engineering rituals and incidents, and guide development of configuration-driven rules, review tooling, vendor integrations, distributed decisioning, and event-driven re-evaluation systems.

Lead Wise’s Risk Modelling ML Engineering pillar for financial crime detection. Own the model lifecycle from experimentation through deployment, monitoring, retraining, drift detection, and auditability. Architect a scalable model factory and experimentation platform supporting hundreds of models under strict latency requirements. Recruit, mentor, and lead senior ML engineers while setting technical standards, making architecture decisions, and partnering with platform teams.

Supports Celonis Value Engineering by analyzing customer data, identifying process inefficiencies, translating business challenges into platform use cases, quantifying financial impact, and preparing executive presentations. Collaborates with customers, partners, sales teams, and decision-makers to develop proof-of-value projects and data-driven business cases. The intern presents Celonis’ AI and process intelligence capabilities while building technical, analytical, consulting, and customer-facing experience for potential transition into the Orbit Graduate Program.

Develop, operate, and evolve cloud-native platform infrastructure, including Kubernetes services, developer tooling, CI/CD workflows, infrastructure as code, and automated remediation. Provide production support and incident response while applying security controls, hardening standards, and responsible AI-assisted development practices. Collaborate with engineers, contribute to code reviews, and grow expertise in cloud platform engineering.

Design, deliver, and operate Cloudflare’s observability platforms, focusing on metrics and alerting systems. Solve scaling challenges in distributed services, research new technologies, support open-source initiatives, and participate in on-call rotations. The role requires software engineering expertise, distributed systems design, Linux, databases, Prometheus-based tooling, networking knowledge, and strong communication skills.

Develops cloud-based software solutions with strategic customers and Microsoft product teams. Responsibilities include gathering requirements, designing features, writing and reusing code, estimating work, participating in on-call support, and improving system reliability, observability, performance, and operational consistency. The role also contributes to open-source software and requires collaboration across engineering, data science, program management, and design teams.

Leads people, capability, capacity, and resource planning for a robotics and autonomy engineering group. Responsibilities include line management, performance development, recruitment, retention, workload allocation, succession planning, and resolving resource constraints across projects. The manager partners with team leads and product teams to maintain delivery quality and team health while building a scalable engineering organization.

Leads and develops a group of software engineers through line management, coaching, performance management, recruitment, retention, resource planning, project allocation, and succession planning. Partners with product teams and technical leads to balance engineering capacity, address capability gaps, and maintain team health and delivery quality. Requires technical credibility in software engineering without owning architecture or product priorities.

Lead the technology strategy and engineering organization for RLDatix’s Quality Compliance Systems platform. Own architecture, Azure infrastructure, software delivery, data, AI, security, and platform capabilities. Drive scalable SaaS modernization, reliable CI/CD, AI-assisted development, technical risk reduction, and secure-by-design practices while developing multidisciplinary engineering leaders and teams.

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.

Design, develop, and maintain scalable full-stack applications using Python and React. Build RESTful APIs, backend services, and third-party integrations; deploy and manage applications on AWS; use AI-assisted coding tools such as Claude Code and Cursor; and ensure performance, security, scalability, and maintainability. Collaborate on architecture, code reviews, CI/CD, testing, troubleshooting, and production optimization.

Lead a team of four backend and ML engineers building machine-learning-driven ad delivery. Own the ML roadmap, production model-serving stack, real-time decisioning, feature pipelines, experimentation, monitoring, and backend ad services across web and mobile. Partner with product, analytics, and client engineering teams to balance revenue, retention, and inventory. Contribute hands-on to the codebase while mentoring engineers, managing performance, and guiding technical strategy.

Lead and grow a team of seven ML and data engineers delivering production machine learning, AI, recommendation, search, commerce, and agentic systems. Own hiring, performance, delivery, technical direction, architecture, MLOps, evaluation, monitoring, responsible AI, and stakeholder communication. Guide reliable data pipelines, model deployment, experimentation, LLM evaluation, and production agent systems using tools such as LangGraph and Amazon Bedrock.

Lead AI security engineering strategy, product delivery, architecture, and distributed team management. Build scalable safeguards for agentic systems, automated remediation, security analytics, and continuous assurance. Partner with security operations, engineering, architecture, and AI teams to deliver cyber defense capabilities, enterprise integrations, and governance controls. The role requires extensive regulated-industry experience, production generative AI expertise, strong software engineering foundations, and leadership of complex engineering portfolios.

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.

Engineer eukaryotic genomes end-to-end for mammalian cell systems: design and build editing reagents, perform mammalian cell culture and deliveries (transfection/electroporation/LNP/viral), isolate clones, verify edits via NGS and Sanger, and validate genotype-to-phenotype using molecular and cellular assays while optimizing efficiency and minimizing off-target effects.

Lead and grow an engineering team building reliable, scalable, secure, privacy-first AI-powered health products. Set technical direction, guide architecture, unblock delivery, champion engineering quality, and collaborate across disciplines. Hire, coach, develop, and promote engineers while delivering products to a global audience. The role requires substantial coding experience in Scala, Java, Kotlin, or Objective-C/Swift, distributed systems expertise, and several years managing engineering teams.