Top Engineering Jobs in London

Lead design, develop, and optimize low-latency options algorithmic trading systems. Produce high-quality Java code, implement order management, market data processing, and risk systems. Drive automation, CI/CD, performance tuning, and adoption of enterprise AI-assisted engineering practices. Ensure operational stability, testing, and collaboration with product and trading teams.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Lead the Algorithms engineering team responsible for RoomPriceGenie’s pricing, forecasting, and data pipeline systems. Own delivery, reliability, technical quality, hiring, performance management, and team development. Partner with Product to shape priorities, validate outcomes through backtesting and quality metrics, and drive engineering improvements across the organization. Provide architectural guidance, design and code reviews, and occasional hands-on support while building a high-performing, accountable team.

Designs, implements, and refines threat detection and response use cases aligned with MITRE ATT&CK and the Cyber Kill Chain. Collaborates with threat intelligence, incident response, forensics, and security operations teams; analyzes attack patterns; participates in red-team and penetration-testing exercises; develops security metrics and management reports; and leads junior analysts as needed. The role requires expertise in security monitoring, incident response, forensics, network and host controls, cloud security, and multiple forensic and SIEM tools.

Leads a 25+ person organization of data scientists, machine learning engineers, and analytics engineers across Identity and Financial Crime. Owns data quality, governance, lineage, observability, fraud and financial-crime models, production performance, monitoring, retraining, and domain data products. Partners with engineering, product, risk, compliance, legal, and central data teams; influences upstream teams, develops managers and senior ICs, handles incidents, and scales hiring and technical strategy.

Leads an engineering team responsible for delivering and scaling Olo’s restaurant technology platform. Manages engineering projects, technical debt, product roadmaps, system quality, performance, and major technical escalations. The role includes hiring, mentoring, performance management, process improvement, cross-functional collaboration, stakeholder engagement, and ensuring reliable, scalable solutions aligned with business objectives.

Manage all aspects of package delivery within budget and schedule, ensuring compliance with QHSES and project requirements. Oversee communication with stakeholders, track costs, and manage documentation while identifying risks and opportunities.

The Manager Package Management oversees the delivery of packages within budget and time, ensuring compliance with project requirements and engaging stakeholders. Responsibilities include risk management, cost tracking, and communication with project teams and suppliers.

The Patent Product Engineer will collaborate with patent teams and law firms to design and deploy product concepts, ensuring customer satisfaction and identifying opportunities.

The Senior Quantitative Researcher will lead projects impacting trading performance, develop trading models, and collaborate with researchers and traders.

Own and scale revenue operations, CRM data, integrations, tooling, event and ticketing infrastructure, and performance-marketing data. The role combines hands-on development of pipelines, workflows, attribution systems, and data architecture with management of a two-person operations team. Responsibilities include HubSpot enrichment and lead scoring, ad-platform integrations, tool governance, operational reporting, ticketing and webinar stability, budgeting support, and future team growth.

Analyze and resolve software bugs and security vulnerabilities across complex codebases. Develop and refactor backend applications, conduct penetration testing and security audits, optimize performance, apply secure development practices, document findings, and provide cybersecurity and engineering insights for AI training datasets.

Build AI agents, LLM and machine learning models, evaluation pipelines, and infrastructure for self-healing software. Responsibilities include fine-tuning and deploying models, testing agent improvements, creating failure-detection tools, debugging regressions, and owning projects through production delivery. Candidates must study at Oxford or Cambridge and have an IMO, IOI, or equivalent elite achievement, plus strong programming ability, hands-on AI experience, and evidence of building useful projects.

Build and operate full-stack features for elastic.co using React, TypeScript, and backend services. Own deployment pipelines, performance monitoring, observability, security vulnerability remediation, production troubleshooting, code reviews, and on-call support in a globally distributed team.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Leads UK engineering operations, managing engineering managers and software developers responsible for designing, developing, deploying, and supporting mission-critical software products. Oversees architecture, Scrum practices, quality assurance, performance monitoring, production issue resolution, software releases, project delivery, resource prioritization, hiring, and team performance. Partners with project managers and internal stakeholders to integrate technology, improve application effectiveness, and maintain product uptime.

Act as the bridge between Axis and consultant/specifier communities across the Midlands and South West UK. Build and manage A&E programme relationships, advise on product specifications, train on Axis design tools, create thought leadership, align activities with sales to generate pipeline, and collaborate with global A&E peers to share best practices.

Lead AI architecture and engineering for enterprise agentic AI systems. Define standards for RAG, agents, orchestration, evaluation, security, and governance; provide hands-on technical leadership, mentor engineers, and align cross-functional stakeholders to deliver secure, compliant AI solutions.

Leads Tide’s global engineering organization for ongoing monitoring, fraud detection, financial crime, sanctions, and regulatory-risk platforms. Owns engineering strategy, shared decisioning capabilities, ML model lifecycle, agentic AI governance, platform scalability, and measurable risk and efficiency outcomes. The role manages distributed engineering, data science, and analytics teams while aligning risk, compliance, operations, payments, product, and technology stakeholders across multiple markets.

Manage and develop a distributed team of backend and frontend engineers working on observability collection products, including Fleet Management, Kubernetes Monitoring Helm Chart, and Instrumentation Hub. Partner with product, engineering leadership, and go-to-market teams to deliver customer-focused solutions. Guide projects from ideation through launch, foster psychological safety and continuous improvement, and contribute across team boundaries.

Lead and unify two engineering organizations in London, managing 35+ engineers through engineering managers and scaling toward 50. Partner with commercial, clinical, and product leaders; shape product priorities; improve delivery predictability, quality, and reliability; hire and mentor leaders; and establish consistent engineering standards across distributed teams in London, Sydney, and the US.

Coordinates hotel engineering maintenance requests, purchase orders, invoices, procurement, compliance records, safety documentation, preventative maintenance schedules, and engineering projects. The role liaises with contractors, suppliers, and hotel departments while providing administrative support and service to guests and colleagues. Technical knowledge of HVAC, BMS, and fire and life safety systems is required, alongside engineering and health and safety qualifications.

Lead the platform engineering organization responsible for the reliability, security, automation, and continuous improvement of ITRS’s Kubernetes-based Analytics SaaS platform. Manage and develop engineers, oversee incident response and operational standards, improve observability and resilience, and drive self-healing and intelligent automation. Partner with Engineering, Product, Security, and customer-facing teams while supporting Forward Deployed Engineering and meeting regulated-industry compliance and audit expectations.

Leads engineering strategy and delivery for agentic AI systems across the enterprise. Builds and manages multidisciplinary AI engineering teams, prioritizes high-impact initiatives, shapes AI roadmaps, and partners with senior business and technology stakeholders. Oversees production deployment of copilots, workflow agents, decision systems, and automation platforms, ensuring scalable, secure, observable, reliable, and cost-efficient architectures using LLMs, orchestration, and RAG.

Leads BibliU’s engineering function, including team growth, technical governance, security, architecture, delivery predictability, and engineering standards. The role manages approximately 15 engineers, develops engineering managers, improves availability and incident performance, establishes reliable release processes, and scales full-stack TypeScript applications on AWS. It also drives organization-wide adoption of AI-assisted development with appropriate quality and security controls, while defining the technical roadmap for continued company growth.