Top Engineering Jobs in London

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.

Leads and develops an engineering team building Agentic Discovery products that help businesses make digital properties readable, discoverable, and callable by AI agents. Responsibilities include managing people and execution, shaping product roadmaps, overseeing distributed systems and web-scale data pipelines, ensuring reliability and data quality, supporting incident response, and developing technical leaders across indexing, agent observation, AEO, WebMCP, APIs, and Generative UI.

Lead Risk Engineering in London by managing and developing a high-caliber engineering team, setting technical standards, defining platform strategy, and overseeing execution. Own risk platforms across the trading lifecycle, from data and forecasts through execution and PnL. Partner with risk analysts, traders, portfolio managers, and engineering teams to translate complex requirements into highly available solutions. Remain hands-on with architecture and development while managing stakeholders, roadmaps, delivery, performance, and team growth.

Entry-level software engineers build scalable infrastructure, trading systems, cloud environments, data ingestion platforms, testing and deployment tools, and internal productivity systems. Responsibilities vary by engineering team and include reliability, high-performance systems, distributed storage, and large-scale data processing. Candidates need a technical or quantitative degree, programming experience, large-scale systems experience, strong analytical and interpersonal skills, and enthusiasm for building quality software.

Leads software engineering teams building scalable, secure, resilient digital banking capabilities for international private banking. Provides hands-on technical leadership across design, implementation, code review, distributed systems, cloud-native delivery, observability, and operational readiness. Sets governance for agentic AI-enabled engineering, influences architecture and technology direction, partners with business stakeholders, and develops engineering talent through coaching, hiring, and performance feedback.

Lead hands-on development of reliable, scalable embedded finance services. Design, develop, and maintain software while mentoring engineers, guiding technical decisions, and promoting engineering best practices. Partner with product managers to shape team vision, roadmap, and product direction. Collaborate cross-functionally to expand Wise’s embedded finance platform for enterprise partners, emphasizing customer impact, microservices, event-driven architecture, relational databases, continuous delivery, and high-quality code.

Lead and mentor engineers, own hiring and performance development, define technical roadmaps, guide scalable system architecture, and drive engineering excellence. Collaborate with product, solutions engineering, implementation, and business development teams to support bank integrations and expand Wise’s global payments network. Remain hands-on when needed, improve product capabilities, and influence engineering practices across the broader organization.

Lead multiple engineering teams building and maintaining Wise’s petabyte-scale analytics and data lakehouse platform. Guide engineering leads and senior engineers, oversee production systems, and drive reliability, security, observability, automation, and operational excellence. Partner with product and business stakeholders, manage vendor negotiations and costs, mentor leaders, and support scalable cloud-based microservices, distributed systems, data processing, machine learning, and AI capabilities.

Lead engineering teams building and operating Wise’s Generative AI platform. The role oversees AI enablement, controls, tooling, guardrails, reliability, security, observability, and cloud operations. Responsibilities include guiding engineering leads, delivering distributed microservices, supporting LLM and agentic applications, partnering with product teams, managing vendors and costs, mentoring engineers, and shaping company-wide AI capabilities while ensuring customer data safety and operational excellence.

Leads global developer platform and AI infrastructure capabilities supporting approximately 300 software and data engineers. Responsibilities include platform strategy, self-service tooling, high-availability infrastructure, IT operations, AI enablement, governance, cost controls, security guardrails, and enterprise AI adoption. The role also builds and manages engineering leadership teams, improves developer velocity, and drives organizational maturity across distributed engineering pillars.

Lead and mentor a team of engineers while remaining hands-on in full-stack development. Design and deliver scalable product features, guide architecture and technical decisions, maintain code quality, security, and performance standards, and collaborate with Product and Design. The role involves reviewing code, developing engineers, improving DevOps practices, and ensuring the team operates effectively in a fast-paced, five-day in-office London environment.

Lead Wise’s Risk Modelling ML Engineering pillar for financial crime detection. Architect model factories, experimentation pipelines, deployment infrastructure, automated retraining, drift detection, threshold management, monitoring, and audit trails. Recruit and develop a senior ML engineering team while setting technical standards, architecture, and engineering culture. Partner across platform teams and guide systems spanning deep learning, production infrastructure, high-throughput inference, and model lifecycle automation.

Lead and mentor backend-focused software engineers while owning the technical strategy, architecture, and delivery of Wise’s referral and recommendation platform. Partner with Product, Marketing, Design, Analytics, and other engineering teams to build scalable, resilient, customer-facing systems and flexible incentive campaigns. Support hiring, team development, roadmap planning, technical quality, on-call operations, and continuous improvement.

Manage and develop a UK&I sales engineering team supporting enterprise customers. Partner with account executives and sales leaders on account strategy, participate in customer calls, resolve pre-sales escalations, demonstrate Samsara’s IoT and SaaS platform, and collaborate with product, support, marketing, and customer success teams to improve sales engineering performance.

Lead and grow an engineering team building Wise’s competitor pricing data platform and public Comparison API. Own scalable, resilient scraping infrastructure, data pipelines, validation, accuracy, observability, and customer-facing comparison experiences. Partner with Product, Marketing, Pricing, Compliance, SEO, and Analytics to shape strategy and deliver measurable customer value. Guide the safe use of LLMs for data extraction, quality control, and self-healing scrapers while participating in on-call support.

Owns business development and strategic client relationships for Connected TV and OTT services. Responsibilities include prospecting, consultative selling, pipeline management, proposals, procurement, negotiations, forecasting, account growth, renewals, and upselling. The role partners with delivery, engineering, design, product, QA, project management, and marketing teams to shape solutions and ensure successful client engagements.

Leads Atlassian’s Strategic EMEA Solutions Engineering team across the DACH region, managing distributed teams and shaping sales engineering strategy. Responsibilities include team development, technical sales leadership, executive customer engagement, solution design, AI-led demonstrations, strategic planning, pipeline generation, cross-functional product feedback, enablement, and industry thought leadership.

Leads large-scale engineering programmes across multiple teams, coordinating planning, delivery, risks, dependencies, governance and operational handovers. The role also manages SOX and IT General Controls audit activities, remediation, testing readiness, evidence and control ownership. It partners with engineering, Risk, Compliance and Audit stakeholders, improves reporting and operational processes through data and automation, and drives accountability, training, communication and sustainable business-as-usual practices.

Leads software engineering within an agile enterprise technology team, designing, developing, testing, securing, and troubleshooting production systems. Promotes validated AI-assisted coding, code review, testing, and incident analysis practices; improves automation and operational stability; and evaluates vendor and internal architectural solutions. Requires advanced programming expertise, SDLC proficiency, cloud-native experience, application resiliency and security knowledge, agile experience, and financial-services IT knowledge.

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 and mentor a distributed team of software engineers building scalable business onboarding experiences. Set technical and product direction with product managers, designers, and analysts; own roadmap delivery, engineering quality, team health, hiring, and professional development. The role requires hands-on expertise in Java, REST APIs, microservices, distributed systems, and CI/CD, along with a strong customer and product mindset.

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.

Engineering internship focused on designing, coding, and operating high-performance services and data-processing pipelines serving hundreds of millions of monthly requests. The intern will collaborate with distributed engineering teams, complete structured onboarding, receive dedicated mentorship, and contribute to high-availability, latency-sensitive systems. Candidates should be second-year computer science students graduating in 2028 with service development knowledge, strong learning ability, and a collaborative, continuous-improvement mindset.

Design, provision, and operate a scalable, secure cloud data platform on AWS and Databricks using Terraform, automation (Python/Java), CI/CD, observability, and security best practices to support production analytics workloads.

Leads a regional team of quota-carrying Customer Engineers across the full customer journey, from discovery and technical validation through adoption, retention, and expansion. Responsibilities include hiring, coaching, forecasting, pipeline management, deal strategy, executive communication, operational improvement, and cross-functional leadership. The manager also promotes AI-augmented workflows and remains a player-coach by participating in customer meetings, QBRs, discovery sessions, and proof-of-concept reviews.