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.

Lead an engineering team using Microsoft Power Platform, Power Apps, Dynamics 365, SharePoint, BizTalk, and Azure DevOps. Responsible for developing and delivering software applications, integrations, and services across the full product lifecycle for the British Red Cross.

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.

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.

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.

Deloitte★3.9 (14k)· London

You will work with large language models, prompt engineering, retrieval-augmented generation, orchestration frameworks, and cloud platforms (Azure, AWS, GCP). As a GenAI Solution Design lead in Deloitte's AI Scaling & Transformation team, you design enterprise-grade GenAI solutions for Security & Justice clients in regulated environments. This Senior Manager role involves overseeing delivery across multiple workstreams and leading mentoring delivery teams.

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.

COLLINSON★3.6 (34)· London

You will own the Strategic Billing Platform ecosystem, working with Salesforce Revenue Cloud, Snowflake, DocuSign CLM, Vertex, and API integrations. The role manages platform strategy, governance, and performance for Collinson’s billing capabilities, which support its Priority Pass airport experiences and loyalty programs.

Holland & Barrett★2.8 (1.3k)· London

You will lead multidisciplinary frontend and backend engineering teams building digital products that support Holland & Barrett's merchandising operations; the company is the UK's leading health and wellness retailer. No specific technologies or team size are stated.

Lead multidisciplinary frontend and backend engineering teams building digital products for the merchandising operations of the UK's leading health and wellness retailer. This people-management role provides technical leadership in architecture and system design without hands-on coding.

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.

The Director of Engineering will lead engineering teams responsible for digital products, data/insights, web channels, and Microsoft Dynamics CRM, and manage an AI Centre of Excellence. They will oversee the engineering function reporting to the CTO, managing multiple squad-based teams to deliver secure, scalable digital platforms for the charity.

Leads multiple engineering teams using AWS cloud, microservices, DevOps, LLM APIs, and AI-assisted development. Oversees Client Service technology roadmap, building and modernizing CRM, booking, and customer engagement platforms. Manages Engineering Managers and Senior Engineers across multiple squads.

Flo Health★4.8 (26)· London

Lead a team of 6+ ML and backend engineers building production ML systems with TensorFlow, scikit-learn, CatBoost, and MLOps. You'll own Flo’s predictive lifetime value (pLTV) models, stand up Marketing Mix Modeling (MMM), and develop real-time campaign optimization algorithms to drive user acquisition strategy for the world’s #1 health and fitness app.

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.

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 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.

You will lead an AI engineering team delivering enterprise AI initiatives including Generative AI, AI Agents and Voice AI, working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering and Python on cloud platforms. This role manages the AI roadmap from concept to production for a major enterprise undergoing AI transformation.

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.