Lead a disputes team at Checkout.com, working with a .NET/C# back end, React/TypeScript front end, and Python for machine learning, alongside REST APIs, event-driven microservices, and SQL. The team builds tools and models to help merchants manage and win chargeback disputes at scale. You will oversee engineers across disciplines and seniority levels, driving predictable delivery and operational efficiency.

Checkout.com★3.8 (15)· London

Senior Engineering Manager leading the Disputes team, which builds tools, services, and machine learning models to help merchants manage and win chargeback disputes at scale. The team owns a full stack centered on .NET / C#, React and TypeScript front ends, Python-based ML, and event-driven microservice architectures.

AXA★3.9 (2.9k)· London

Design and implement secure architectures for enterprise security and AI/ML initiatives across AXA, using Docker, Kubernetes, cloud security, API security, micro-services, MLOps/MLSecOps platforms, threat modeling, and SSDLC. Defines technical security standards and reference architectures aligning with frameworks like NIST AI RMF and ISO/IEC 42001. Reports to the Chief Security Officer.

Lead a team of 8 senior engineers using React, TypeScript, Python, FastAPI, Dagster, dbt, Snowflake, and AWS. The company fuses fragmented UK transport data into an operational intelligence layer for councils and highways authorities. This role includes architectural ownership and a path to CTO as the team scales toward 20-30 engineers.

You'll lead a 4–5 person team building machine learning systems using Python, TensorFlow, PyTorch, JAX, AWS, Docker, and Kubernetes for Super's Playstack platform, which powers sports betting and gaming experiences across Europe and Latin America. The role combines technical contribution, project management, and people leadership, focusing on predictive analytics, personalization, fraud detection, and real-time recommendations that enhance customer engagement in online gambling and sports betting.

Lead a 30-engineer team at a UK digital bank, driving adoption of GCP, microservices, containerization (Kubernetes/Docker), and AI/ML APIs. You will build and scale customer-facing digital platforms and cloud-native services using agile and DevOps practices, with exposure to Flutter, Go, and TypeScript. This role focuses on shaping the engineering pillar and scaling capability during the bank's transformation.

You will work with Gen AI, Cloud/Back-End/TypeScript, and Product Systems on Physical AI applications that bridge software and hardware. You lead and mentor an agile team of 5, integrating work across these three verticals.

Lead a team of engineers building open-source workflow orchestration for n8n. This first-line manager role focuses on either the Governance & Observability team (audit logs, admin controls) or the Licence & Billing team (subscriptions, payments, usage tracking). You will work with modern SaaS technologies in a high-growth environment, directly managing engineers.

Engineering Manager for n8n, an open workflow orchestration platform. You will lead an engineering team focused on either Governance & Observability (audit logs, monitoring, admin controls) or Licence & Billing (subscriptions, payments, metering). This is a first-line engineering leadership role.

Lead a team of 5+ engineers owning end-to-end ML infrastructure, using Python, MLflow, AWS SageMaker, React, Docker, Spark and Kafka. You will drive the migration from MLflow to AWS SageMaker, building scalable ML systems for predictive maintenance and fault detection, while delivering React-based frontends.

Manage the DMI config-driven data platform, working with dbt (macros, Jinja, incremental models), Python 3.11+, BigQuery, Google Cloud Platform (Cloud Functions, Cloud Run, Cloud Scheduler, Pub/Sub), Terraform, and CI/CD (Cloud Build). You will build ELT pipelines that ingest paid media data from 26+ ad platforms, transform it via dbt, and deliver analysis-ready tables. This role leads and mentors a team of data engineers.

You will work with dbt, SQL, Python, BigQuery, Cloud Functions, Cloud Run, and other GCP services on the DMI platform—a config-driven system that ingests, transforms, and delivers paid media data from 26+ ad platforms for global clients. The role involves building ELT pipelines, writing dbt models and Jinja templates, and maintaining infrastructure using Git, CI/CD, Docker, and Terraform.

You will lead a team using TypeScript, Node.js, and React on AWS serverless, microservices, and event-driven architectures. The Affinidi Elements team builds a decentralized digital identity platform that gives users control over their data. You will guide the engineering team in delivering high-quality, secure features.

Python, Django, TypeScript, React, GraphQL and Heroku. The company builds a platform for global workforce/vendor management, trusted by major brands. You will lead 12 Senior Engineers across 3 teams, remaining up to 40% hands-on with backend architecture.

You will use TypeScript to build and ship AI-powered products to enterprise customers, working hands-on with code, architecture, and customer problems. As the first UK Engineering Manager, you will hire and grow the London team from scratch while collaborating with leadership in New York. This is a player-coach role where you review code, mentor engineers, and own the team’s technical direction.

DeepL★3.8 (4)· London

You will manage a distributed engineering team owning payment gateway integrations, fraud/bot protection systems, and the self-serve checkout and conversion pipeline. The team works with AWS, Docker, Kubernetes, gRPC, REST, and both relational and NoSQL databases to drive user activation and monetisation while preventing abuse.

Lead engineers building secure, scalable microservices and APIs using TypeScript, Node.js, AWS, SQL/NoSQL, Docker, and CI/CD tools. You will manage a team for an AI leader in governance, risk and compliance, partnering with Product, Security, and DevOps.

Citi★3.9 (21k)· London

Lead architecture and hands-on development of a greenfield Agentic AI Platform on GCP using Vertex AI, ADK, LangChain, multi-agent architectures, and RAG with Python, Java/Spring Boot, and Kubernetes. The platform empowers Citi’s corporate and investment bankers with autonomous agents to streamline workflows and deepen client relationships.

Accenture★3.9 (29k)· London

You will build production-grade agentic AI systems using LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Vertex AI, Kubernetes, Docker, Python, and Java. The role designs end-to-end multi-agent systems, RAG pipelines, and LLMOps (LangSmith, Braintrust) while embedding with client engineering teams to deliver enterprise solutions. No team size is stated.

Manages cloud (GCP), container (Kubernetes/Docker), Zero Trust, and IAM security using AI and automation. Leads engineering for Isomorphic Labs' digital biology platform applying frontier AI to drug discovery and novel therapeutics. Builds and scales a security engineering team, reporting to the CISO.

Anthropic★5.0 (1)· London

Lead a team building Anthropic's connectivity infrastructure — the MCP proxy, OAuth, and token management — using Python and TypeScript SDKs to support Claude.ai, Claude Code, Cowork, and the API. The Connectivity team makes Claude the most connected AI, defining how agents safely access external systems with enterprise trust. This London-based manager role spans San Francisco and London.

Trainline★3.9 (17)· London

Manage a new team of MLOps Engineers using AWS, Docker, Terraform, CI/CD, MLflow, Airflow, Python, and Spark/PySpark. The team deploys and operates batch and online ML models—recommendation systems, LLMs, classification, regression—for Trainline’s rail ticketing platform. You will define MLOps practices and infrastructure to productionise AI products at scale.

You'll work with C#, .NET, Node.js, JavaScript/TypeScript, React, Next.js, AWS (provisioned with Terraform), Azure Service Bus, PostgreSQL, SQL Server, Docker, EKS and GitHub Actions. Lüp builds a data-driven event technology platform powering registration, lead capture and real-time analytics for complex events. AI-assisted development (Claude, ChatGPT, GitHub Copilot) is the default workflow.

Multiverse★4.0 (5)· London

This role involves Python, TypeScript, React, Next.js, RabbitMQ, and LLMs. The Diagnose & Prescribe (D&P) team owns the learner and employer journey, assessing skill gaps and directing them to suitable apprenticeships or learning paths.

Lead a team building scalable web applications with TypeScript, React, and Redux, integrating AI features at Agoda. Work with REST, GraphQL, WebSockets, and modern frontend architecture including SSR and micro-frontends. The team develops user-facing platforms that power global-scale travel experiences.