Top Engineering Jobs in London

Lead technology direction, architecture and delivery for EF English Live. Own integrations, ecommerce, Salesforce, data platform and AI enablement. Build roadmaps, ensure CI/CD and security/compliance, manage ~15 engineers and managers, partner with business leaders to deliver measurable commercial impact.

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

Lead development and execution of communications, engagement and change-management strategies for Digital Engineering Services. Own executive messaging, stakeholder engagement, branding, governance, multi-channel campaigns, training and adoption plans. Manage global teams, vendor relationships, escalate issues, measure stakeholder feedback, and align departmental communications with enterprise guidelines to drive technology transformation and user adoption.

Lead delivery for the Acceleration team that builds internal platforms and automation for commercial operations. Hire and develop engineers, set roadmaps with Product and stakeholders, maintain system reliability and data integrity, make architectural trade-offs, drive cross-functional alignment, and represent delivery health to senior leadership.

Lead and grow a small product engineering pod while spending ~70% hands-on building scalable Python backend systems. Set technical direction, mentor engineers, drive delivery from design to deployment and monitoring, act as L2 escalation for production issues, and collaborate with Product, Infrastructure, and Support.

Support building and optimizing data ingestion, ETL, and transformation pipelines using Python and SQL. Work with Snowflake and cloud platforms to store and validate structured and semi-structured data, automate workflows (Airflow), conduct data quality checks, and document pipeline architecture for use by trading and analytics teams.

Lead a multidisciplinary Core Services engineering squad to design and operate distributed microservices for ledgers, balances, billing, and repayments. Translate product requirements into technical solutions, build integrations and REST APIs, enforce observability, maintain docs, improve performance and scalability, and drive CI/CD and infrastructure-as-code practices.

Lead product strategy and roadmap for AI-driven Capital Markets tooling. Bridge business and engineering, prototype AI solutions, guide cross-functional teams to production, ensure compliance, and drive adoption to improve ECM deal execution, financing workflows, and client servicing.

Lead and grow a distributed engineering team, partner with product to set roadmaps, maintain engineering quality and reliability, run delivery cadence, manage cross-team dependencies, handle incidents, and develop engineers through hiring, onboarding and feedback.

Lead the ML platform and infrastructure (data, evaluation, compute). Own roadmap, build and scale distributed engineering teams, partner with Research and Applied ML to prioritize work, remain technically hands-on, and report to the CTO.

Lead data privacy and governance initiatives: perform technical privacy reviews, maintain end-to-end data mapping and ROPA, run compliance scans, support DSARs and regulatory responses, enforce governance standards, and partner with Engineering, Product and Legal to remediate privacy gaps.

Lead and hands-on engineer responsible for designing, building and maintaining public markets operations applications. Guide cross-team delivery, set engineering standards, mentor engineers, manage technical debt, write infrastructure-as-code for CI/CD, collaborate with stakeholders and architects, and ensure operational stability, security and testability across the application estate.

Lead a six-person engineering team owning event delivery and data pseudonymisation platforms. Set technical direction, ensure reliable delivery and on-call health, partner with product and stakeholders on roadmap, drive architecture, hire and grow engineers, and foster a culture of ownership and inclusion.

Lead architecture, build, and operate a production agentic AI platform for banking. Hands-on engineer-manager role: design scalable cloud-native systems, integrate LLMs/agent frameworks, enable enterprise data integrations, recruit and mentor engineers, ensure compliance/security, and measure business KPIs.

Lead the Geo product team for Self-Managed customers, owning roadmap, reliability, performance, and disaster-recovery replication. Hire and develop a distributed engineering team, deliver features and fixes, maintain runbooks and guardrails, respond to escalations and participate in on-call incident management, and define metrics to drive continuous improvement.

Lead and grow a high-performing software engineering team to deliver scalable, secure, and maintainable solutions aligned to business goals. Oversee delivery, enforce technical standards, drive architecture and DevOps best practices, and manage stakeholders, vendors and partners to achieve successful outcomes.

Lead and grow a high-performing engineering team building personalized offers and mission-based rewards. Oversee agile delivery, technical standards, architecture, cloud/DevOps practices, quality assurance, and maintenance while collaborating with product, design, data science, and platform teams.

Lead teams responsible for store payments and infrastructure, ensuring reliable, scalable production systems. Drive engineering excellence, platform ownership, modernization, reliability, CI/CD, observability, and cross-team delivery with stakeholders and third-party partners.

Lead and grow a high-performing software engineering team for warehousing systems. Oversee agile delivery, technical direction, architecture, cloud-native practices, quality standards, maintenance, and cross-functional collaboration to deliver scalable, observable software solutions.

Lead design, delivery and operation of secure, scalable multi-cloud platforms. Drive automation via Infrastructure-as-Code, enable DevOps (CI/CD, observability, monitoring), ensure resilience, compliance and security, and partner with technology teams and suppliers to optimise performance and cloud value.

Lead architecture and technical direction for M&S Foods platforms, modernising legacy integrations into API-led and event-driven distributed systems. Define service boundaries, design APIs and event contracts, improve observability and resilience, mentor engineers, and drive shared platform capabilities across multiple teams.

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 an engineering team to build and operate the M&S Identity Platform. Own architecture, scalable distributed systems, authentication journeys, deployments and DevOps practices. Drive agile delivery, technical standards, quality, maintenance, and cross-functional collaboration with product and delivery stakeholders.

Lead a team to transform data-engineering outputs into reporting-ready datasets, build API-driven ingestion pipelines, implement data validation and automation, own and optimize Power BI semantic models and dashboards, translate business needs into actionable reports, and drive reporting governance and performance.

Lead and grow a multidisciplinary engineering team to design, build, release and operate scalable international pricing platforms. Drive technical strategy, delivery, operational excellence and collaboration with Product, Delivery and Architecture to support global expansion and flexible market pricing.