You will work with Azure, AWS, Entra ID, Boomi, ServiceNow, infrastructure as code, CI/CD, and automation. This Platform Engineering Manager role leads architecture, cloud strategy, and network services across Inizio's corporate IT estate, running a Centre for Enablement model with reusable patterns. Direct reports: 3-5 senior engineers and architects.

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.

Lead a team of DataOps and MLOps engineers building and evolving the ML platform and data operations for FDJ United’s Sportsbook product. You’ll work with AWS, Terraform, CloudFormation, Spark, Kafka, and CI/CD pipelines to enable end-to-end machine learning workflows from research to production.

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.

FDJ UNITED★4.0 (96)· London

You'll lead a DataOps/MLOps team building an ML platform and data operations capability for FDJ United's Sportsbook, working with AWS, Terraform/CloudFormation, Spark, Kafka, and CI/CD pipelines for end-to-end ML lifecycle management. The role involves establishing best practices, monitoring, and governance while collaborating with Data Engineering, ML Engineering, Quants, and Data Science teams to personalize customer experiences and manage risk.

Manage a team of test and DevOps engineers building CI/CD, Yocto-based embedded Linux, test automation, and cloud infrastructure (Python, C/C++, AWS/GCP/Azure) for non-invasive neuromonitoring medical devices.

Lead a team of test and DevOps engineers owning CI/CD, Yocto-based embedded Linux, and test automation infrastructure. The role uses Python, C/C++, infrastructure-as-code (Terraform, CDK), and cloud platforms (AWS/GCP/Azure) for a non-invasive neuromonitoring medical device company.

You will manage large software engineering teams using Java, JavaScript, and cloud platforms like Azure or GCP. The company builds and maintains high-scale, consumer-facing technology products with both frontend and backend components. The role leads engineering transformation initiatives and oversees distributed systems.

Insulet Corporation★3.1 (189)· London

Lead a globally distributed MuleSoft engineering team owning the AI Enablement Integration portfolio. The role works with MuleSoft Anypoint Platform, AI Gateway, Model Context Protocol (MCP), Agent Fabric, CloudHub 2.0, and Flex Gateway to make enterprise systems and APIs securely available to AI agents and automation platforms.

Manage multiple teams across Platform Engineering, SRE, DevOps, MLOps, Security and Infrastructure Engineering, using Kubernetes, Azure, Terraform, GitHub Actions, ArgoCD, and observability tooling. The teams build and operate the core platform, cloud infrastructure and automation that underpin the company's data, analytics and AI ecosystem. The scope covers hiring, workforce planning and organisational scaling across infrastructure disciplines.

Director leads engineering strategy, platform architecture, and AI adoption for a consumer technology company's large-scale digital platform. Oversees cloud-native infrastructure, web and mobile applications, marketing technology, and AI-enabled tooling. Reports to C-Suite and partners with Product to deliver a technology roadmap impacting millions of users.

Insulet Corporation★3.1 (189)· London

You will lead a globally distributed MuleSoft engineering team, using MuleSoft Anypoint Platform, AI Gateway, MCP, Agent Fabric, API-led connectivity, CloudHub 2.0, and Flex Gateway to build secure, governed integration capabilities for enterprise AI agents, automation, and intelligent workflows. This role owns the AI Enablement Integration portfolio at Insulet, a company pioneering “Liveable Technology” to transform diabetes care.

Manage infrastructure on AWS, GCP, Azure, or OCI using Kubernetes, Terraform, and CI/CD tools like Circle CI and GitHub Actions. The team owns the full deployment lifecycle of SGP in live customer environments, building interactive AI applications and enterprise SaaS products.

Lead a hands-on founding engineering role building AI agents for data privacy compliance at Pyxos. Own the control plane, agent architecture, model-abstraction layer, telemetry, evaluation harnesses, and expert knowledge system using LLMs, multi-step agentic workflows, and CI/CD pipelines. You will work with a production system serving enterprise customers, hiring a deliberately small team as the most senior technical leader reporting to the CEO.

Lead DevOps engineers, Tooling Product Owners and cross‑functional teams across the UK and India; shape the strategy and roadmap for DevOps, CI/CD, Automation and Tooling platforms using Azure cloud and cloud‑native engineering. The role oversees platform performance, availability, compliance and lifecycle management for Intact Insurance's technology transformation.

Engineering Managers at Ki lead teams working with Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin, GCP, and CI/CD tooling. Ki is the biggest global algorithmic insurance carrier, using machine learning and LLMs on its broker platform to digitise Lloyd's of London underwriting. The role collaborates with the CTO on technical strategy for the architecture, tech stack and infrastructure.

Lead engineering in a B2B SaaS cloud infrastructure and data intelligence company scaling from Series B to C. Work with cloud-native environments (AWS, Azure or GCP), Kubernetes, microservices, distributed systems, and implement CI/CD, DevOps, and test automation. Scale and lead a multinational engineering organisation across European hubs, reporting to the CTO as part of the senior leadership team.

You will work with Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin, GCP, CI/CD, DevOps, GitOps, and Jira on microservice-based architectures. Ki is an algorithmic insurance carrier using machine learning and large language models to deliver broker quotes in seconds, and you will lead engineering for its core broker platform enabling underwriting at scale.

Lead a multidisciplinary engineering team building Meshh's cloud analytics platform, working with AWS, IoT sensors, CI/CD, infrastructure as code, and DevOps practices. The team delivers spatial analytics from wireless sensor data using AI and machine learning to produce actionable visitor insights for global customers.

Lead evolution of a global data landscape onto a primarily Microsoft platform (Azure Data Lake, Databricks, Azure SQL, Power BI Premium, data mesh/fabric). Manage the transition, own the tech stack, and drive data governance and cultural change. Reports to Director, Technical Operations.

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.

Leads backend engineering teams using Java/Spring Boot and Python/FastAPI, managing microservice architectures, Kafka, Kubernetes, and CI/CD with GitHub Actions and ArgoCD. Oversees delivery of foundational backend capabilities powering data, analytics, AI, and digital products within All

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 and coach large teams of Software Engineers using Java, JavaScript, and cloud technologies. The role oversees Development teams building software for an instantly recognisable firm.

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.