Top Engineering Jobs in London

Build deployment and release tooling, test infrastructure, data pipelines, visualizations, dashboards, CLIs, and configuration tools for embedded flight computers and autonomy systems. Develop software for Linux-based edge-AI hardware, replay flight data, process sensor logs, support HIL/SIL testing, and collaborate with autonomy and perception engineers on real missions.

Lead and grow a team of ML engineers to build and operate production ML and LLM systems—real-time inference APIs, batch data products, and agentic AI—ensuring deployment, monitoring, CI/CD, reproducibility, and measurable business impact.

Leads engineering teams across people, product, and technical delivery. Manages approximately 7–10 engineers, supports career development through coaching and feedback, ensures engineering excellence, partners with technical and product leaders, drives delivery outcomes, communicates with stakeholders, and contributes to organization-wide engineering practices. The role requires prior software engineering experience, strong technical judgment, delivery leadership, autonomy, and the ability to build and motivate high-performing teams.

Lead and mentor a team of 5–8 AI engineers while driving delivery of conversational, generative, and agentic AI capabilities. Own the AI engineering roadmap, technical execution, testing and evaluation frameworks, CI/CD pipelines, and integration with core infrastructure. Partner with product, architecture, platform, and senior leadership teams to manage priorities, technical trade-offs, risks, and delivery. Remain hands-on in solving complex AI engineering problems and developing production-ready systems.

Build and ship production software for AI systems, including data pipelines, evaluation infrastructure, agentic applications, fraud detection, matching algorithms, and AI tooling. Interns work on full-stack product engineering, large-scale data systems, and customer-focused iteration while receiving mentorship. The role requires prior software engineering internship experience, shipped products, and familiarity with Python, TypeScript, React, and/or MongoDB.

Serve as a pre-sales Solutions Engineer for Atlassian’s Emerging Markets team, focusing on enterprise customers in Africa. Partner with sales teams and channel partners to discover business and technical needs, map challenges to Atlassian solutions, identify expansion opportunities, and lead customized value-based demonstrations. Build customer and sales partnerships, guide technical buying decisions, document product feedback and competitive intelligence, and continuously develop product and sales-process expertise.

A 16-month graduate programme rotating across electrical engineering teams supporting wind, solar PV, battery storage, and private wire projects. Responsibilities include feasibility studies, design development, technical assessments, documentation review, problem-solving, and project support through commissioning. The role offers hands-on renewable energy experience across UK locations and development toward professional engineering chartership.

Lead end-to-end integration of customer vehicles with an autonomous software stack. Responsibilities include vehicle feasibility assessments, mechanical and electrical system integration, low-level vehicle control interfaces, network and power systems, verification and validation, field testing, OEM coordination, and developing reusable integration tools and documentation.

Leads gas engineers and technicians across multiple London commercial properties. Responsibilities include technical mentoring, advanced diagnostics, complex repairs and installations, gas safety compliance, inspections, certification tracking, stakeholder coordination, emergency response leadership, technical audits, incident investigations, and continuous improvement. The role combines hands-on commercial heating expertise with team leadership and facilities management responsibilities.

Lead and modernise the order management software by building and managing a high-performing engineering team. Drive technical direction, standards, and cloud-native architecture, oversee agile delivery, quality assurance, maintenance, and cross-functional collaboration to deliver scalable, reliable, secure systems supporting online growth.

Lead and grow a software engineering team to modernize order management systems. Drive agile delivery, technical standards, architecture, DevOps practices, and ensure software quality, reliability, and scalability to support online growth.

Lead and coach a feature-team of engineers while remaining hands-on through code reviews, architecture discussions, and selective coding. Set technical and product direction, partner with Product and Design, and guide development of compensation, savings, tax, or AI features. Establish delivery rhythms, improve complex domain areas, support career development, and promote responsible AI-assisted engineering practices.

Leads strategic communications and media engagement for engineering and science activities, developing multi-channel campaigns and content to enhance the university’s global reputation. Builds relationships with media, academics, policymakers, funders, and external partners; identifies news opportunities; supports media training and crisis communications; evaluates audience and campaign performance; manages communications materials, suppliers, and potentially staff; and contributes to press office, leadership, and on-call activities.

Lead platform engineering efforts to design, build, and operate Kubernetes-based cloud platform services. Develop secure production code, automate infrastructure and CI/CD, support production (you-build-it-you-run-it), drive reliability and security via IaC and policy-as-code, lead technical evaluations and communities of practice, and champion responsible AI-assisted engineering practices.

Lead platform engineer driving cloud-native microservices, developer experience tooling, IaC, CI/CD migrations, and adoption of AI-assisted engineering. Designs architectures, writes secure production code, troubleshoots systems, and mentors teams to improve reliability and delivery.

Lead backend engineering efforts to design, build, and operate scalable, reliable, and secure cloud-native services using JVM languages. Drive domain modeling, performance optimization, zero-downtime releases, incident remediation, automated testing, and adoption of approved AI-assisted engineering practices while mentoring teammates and promoting reusable patterns.

Lead architecture and roadmap for platform engineering; mentor engineers; design and deliver secure, scalable cloud-native infrastructure; ensure production stability (You Build It, You Run It); automate operations and implement DORA/SLIs/SLOs; drive FinOps and performance tuning; adopt and govern agentic AI-enabled engineering workflows with security and validation guardrails; collaborate with product, business, and security stakeholders.

Design, build, and maintain scalable, secure, cloud-native backend systems using JVM languages. Ensure reliability, performance, and zero-downtime releases; use domain modeling, automated testing, and enterprise AI-assisted tools to improve code quality and delivery.

Lead technical direction for cloud platform engineering, design and operate Kubernetes-based platform services, automate CI/CD and developer self-service, enforce security and IaC standards, provide production incident leadership, evaluate vendors, and mentor engineers while driving adoption of AI-assisted engineering practices and operational reliability.

Lead design, development, testing, and operation of ultra-low-latency C++ trading and risk modules, integrating FPGA acceleration. Drive latency optimization, CI/CD, AI-assisted engineering adoption, automation, and cross-team collaboration to ensure reliability and performance.

Lead backend engineering work using JVM languages to design scalable, reliable, secure, cloud-native, multi-cloud solutions. Drive domain modeling, performance optimization, zero-downtime releases, incident resolution, and operational excellence. Champion adoption and governance of enterprise-authorized AI-assisted engineering practices and SDLC toolchain automation while coaching teams on responsible, secure AI use.

Lead design and delivery of high-performance, real-time data pipelines and analytics for trading. Drive AI-enabled data engineering, mentor engineers, manage global initiatives, and improve SDLC, testing, and operational reliability.

Lead frontend engineer responsible for designing and delivering cloud-native, mobile-first solutions. Collaborate with cross-functional teams, write clean/testable code, troubleshoot, mentor junior developers, adopt AI-assisted development practices, and drive continuous improvement of development processes and automation.

Lead design and delivery of production-grade AI/ML and agentic solutions for the LLM Suite platform. Own architecture, implementation, and operational stability using public cloud services and agentic frameworks. Build GenAI services, integrate LLMs, ensure secure high-quality code, and improve platform scalability and reliability through collaboration and communities of practice.

Lead design and deliver IAM-focused public cloud platform services across AWS/Azure/GCP. Architect, implement, and operate secure, reliable production software; drive automation, CI/CD, and operational stability; lead design reviews, mentor engineers, and collaborate across platform and trust teams.