Top Engineering Jobs in London

Leads engineering managers and experienced engineers building and operating front-office trading platforms for structured products, credit trading, and municipal bonds. Drives architecture, modernization, cloud readiness, security, scalability, DevOps, delivery, and operational stability. Partners with product leaders, architects, vendors, and stakeholders to prioritize roadmaps, resolve technical impediments, manage risk, and meet regulatory requirements. Oversees hiring, talent development, performance management, and financial and resource allocation.

Leads a team building secure, production-grade AI-driven software systems. Responsibilities include software architecture, Java or Python development, AI/ML integration, LLM and generative AI applications, algorithm validation, automated testing, CI/CD, cloud-native development, troubleshooting, and operational reliability. The role also establishes responsible AI practices, validates AI-assisted engineering outputs, mentors engineers, translates business requirements into technical roadmaps, and ensures timely delivery through Agile methodologies.

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.

Design and maintain scalable web applications and backend services for trading operations while optimizing performance and mentoring junior engineers.

Lead hands-on development of reliable, scalable embedded finance services. Mentor engineers, guide technical decisions, own team services and product direction, collaborate with Product Management and cross-functional teams, and establish engineering best practices including continuous delivery and code reviews.

Interns work on production-grade software across Samsaras IoT platform, contributing to backend, full-stack, mobile (React Native), or embedded projects. Paired with a mentor, interns build scalable systems, engage with customers, and use modern tools (Go, TypeScript, GraphQL) to deliver impact.

Build and troubleshoot secure, production-ready AI/ML and agentic software for JPMorganChase’s LLM Suite platform. Develop GenAI services using Azure OpenAI, AWS Bedrock, public cloud architecture, and modern agentic frameworks. Design microservices and APIs, integrate algorithms with existing systems, support operational stability, and collaborate with senior engineers on architecture and implementation. Explore agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.

Lead and develop a team of Workday engineers and platform specialists; own Workday capabilities, operations, roadmap, architecture, integrations, security, reliability, and governance. Drive implementations, enhancements, releases, transformation initiatives, automation, AI adoption, and continuous improvement. Partner with HR, Finance, Payroll, Product, Technology, and senior stakeholders to translate business priorities into scalable solutions and measurable outcomes while managing team capacity, performance, and career growth.

Leads software engineering strategy and delivery for commodities exotics trading technology. Owns desk workflow roadmaps, end-to-end trade lifecycle systems, engineering standards, production readiness, observability, security, testing, incident response, and cross-team releases. Partners with traders, quants, business leaders, and operations while building high-performing teams. Drives enterprise adoption of governed agentic AI engineering and SDLC automation, including responsible AI controls, resilience, measurement, and secure reuse.

Own Perk’s go-to-market engineering strategy, architecture, tooling, roadmap, and commercial outcomes. Build production-grade Clay workflows, Salesforce automations, enrichment systems, orchestration logic, and agentic AI solutions using code and modern GTM technologies. Automate prospecting, selling, and account-management processes across global teams. Lead a senior international team, establish engineering standards, partner with revenue leadership, and quantify business impact through improved productivity and funnel performance.

Leads Atlassian’s EMEA Solutions Engineering and Architecture team for DX. Responsibilities include recruiting and mentoring team members, supporting strategic pre-sales opportunities and POCs, overseeing implementations, standardizing technical processes, allocating resources, tracking KPIs, and advocating for customer needs with Product and Engineering. The role requires strong understanding of software engineering organizations, SDLC, DORA metrics, SPACE, APIs, SQL, Git, and executive stakeholder management.

Develop internal tooling and technical processes for building, testing, integrating, and releasing Graphcore’s machine learning software stack. Guide developers on build practices and dependency management, collaborate with QA and software teams to resolve integration issues, contribute software fixes, and help ensure reproducible builds in secure, sandboxed environments.

Lead the Send Experience engineering organization, initially managing two teams through Engineering Leads. Define product and technical strategy with Product, Design, and Analytics; guide roadmap decisions; improve reliability, security, and scalability; oversee architecture and technical debt; develop engineering leaders; manage performance and hiring; and align cross-functional teams to deliver customer value globally.

Leads engineers building Wise’s current account and everyday banking products. Responsibilities include guiding team delivery and development, writing and reviewing code, coordinating backend, web, and mobile features, owning the technical roadmap, making architectural decisions, managing reliability and technical debt, and partnering with product, design, and adjacent teams. The role requires strong backend engineering expertise, distributed systems and microservices knowledge, hands-on JVM development, and people leadership.

Build and maintain DevSecOps tooling for AWS cloud environments, including threat modeling, security guardrails, policy-as-code, vulnerability analysis, compliance reporting, and runtime security visibility. Develop automation for security findings and software supply chain controls, support audits and incident response, and provide remediation guidance to engineering teams. Collaborate with platform engineers, product squads, risk, and governance teams while using authorized AI-assisted development tools securely and validating generated outputs.

Lead and grow the Workers KV engineering team, shaping product features, improving performance, and delivering scalable distributed storage systems. Responsibilities include hiring, onboarding, professional development, planning, execution oversight, process improvement, instrumentation, and resolving delivery blockers. The role partners technical strategy with business goals while building reliable, high-performance developer APIs and infrastructure for Cloudflare’s global edge network.

Lead Wise’s Finance Systems engineering organization and define the architecture and roadmap for ERP and related finance platforms. Responsibilities include hiring and developing engineering teams, leading ERP modernization, building SOX engineering controls, improving deployment and operational maturity, partnering with Finance and Product, and implementing appropriate automation and AI tooling for finance operations. The role requires enterprise ERP expertise, regulated-domain leadership, audit-ready engineering practices, and CFO-level stakeholder management.

Lead and grow the EMEA Forward Deployed Engineering team to design, deliver, and deploy applied AI/ML solutions. Hire and mentor engineers, drive 0-to-1 product development, ensure production-grade architectures, monitor models in production, manage AI risk and GDPR compliance, and align technical work with business outcomes while communicating with stakeholders.

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.

Develop and maintain scalable cloud ecosystems using Golang and Python, enhancing backend microservices and collaborating within a fast-paced team.

Lead end-to-end hiring for senior and niche engineering roles across multiple locations. Design centralized pipelines, intake processes, interview rubrics, and sourcing strategies (including AI-assisted outreach). Coach hiring managers, run debriefs and evidence-based decisions, own recruiting metrics, and drive cross-functional projects to improve hiring speed, fairness, and quality.

Lead and develop a team of Forward Deployed Engineers to execute customer onboarding, on-site deployments, troubleshooting, and sustained adoption of the Hivemind SDK. Drive field feedback into product, translate mission goals into technical milestones, and partner with engineering and product teams to improve deployment readiness and customer outcomes.

Lead and develop a team of ~8-10 software engineers, owning delivery, career growth, architecture decisions, and roadmap planning with Product. Drive recruitment, performance reviews, processes for scalable, highly available features, and promote AI-augmented development workflows to improve efficiency and product outcomes.

Manage and grow an Endpoint engineering team to build and scale backend infrastructure that ingests, aggregates, and stores agent-collected telemetry. Collaborate with product and cross-functional teams to deliver assurance use cases, drive data processing and availability at scale, and support engineers' career development.

Lead design, build, and maintain large-scale, secure data engineering solutions. Produce and review production code, improve operational stability, drive AI-assisted engineering adoption, evaluate vendors, and shape technical strategy and team culture.