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.

Lead 6-7 engineers on core ML infrastructure for a systematic quant fund: distributed model training, LLM hosting/fine-tuning, and scalable deployment. Use Python with working knowledge of C++/Java. Own technical direction for real-world, high-stakes systems.

Manage the SAIL platform built with AWS, Kubernetes, Python, and infrastructure-as-code tools, enabling clients to control and leverage data through ML solutions embedded into business processes. Lead and mentor a squad of 4-6 engineers.

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.

You will work with Java, Kotlin, and Android OS to develop and maintain display and power frameworks for the Android ecosystem. As a Tech Lead Manager, you manage a team of software engineers, ensuring stability and extensibility of critical frameworks across devices.

Deloitte★3.9 (14k)· London

Lead client engagements designing and implementing advanced analytics and AI-driven Revenue Growth Management solutions, using Visualfabriq for TPO/TPM. You will advise consumer/healthcare clients on AI, machine learning, and predictive analytics to enhance commercial strategy. This role leads matrix project teams including offshore/nearshore resources.

This is a partnerships and business-development role, not a hands-on engineering position. You will work directly with founders, ML researchers, and scientists to create a global data-acquisition strategy for the company’s AI biology models. You will identify, negotiate, and secure complex data partnerships with health systems, biobanks, academic groups, and pharmaceutical companies.

Intercom★3.5 (4)· London

You will lead product engineering teams building Fin’s Customer Agent, a single AI agent that works across support

Google★4.3 (6.2k)· London

Work with Java and Kotlin on Android display and power management frameworks across devices. Manage engineers as a Tech Lead Manager, ensuring stability and extensibility of critical display and power frameworks for the Android ecosystem.

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.

This senior director will shape marketing data strategy, working with first-party data, machine learning, marketing technology, AI, and analytics platforms. They join the Data & Analytics organisation at Forbes Advisor to build products and intelligence that power marketing and revenue growth. They will lead strategic initiatives across marketing measurement, customer intelligence, and data products, acting as a key technical counterpart to the VP of Data Strategy.

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.

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.

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 small mobile team building iOS and Android consumer products at a client. You will set technical direction across both platforms, work hands-on with code, and drive AI-assisted delivery using skills, agents, and spec-driven development. The role includes line-managing engineers and owning the team’s performance, delivery, and growth.

Lead a small mobile team building consumer iOS and Android products for a client. You will drive mobile architecture, use AI-assisted development tools and agents, and champion spec-driven delivery. This is a hands-on leadership role at a digital consultancy.

You will work with iOS and Android, using AI-assisted delivery tools including reusable skills, agents and spec-driven development. As a hands-on Engineering Manager, you lead a small, autonomous mobile team embedded with a client, building consumer products and line-managing the engineers.

Deloitte★3.9 (14k)· London

Work with SQL, Python, R, and cloud technologies to design end-to-end AI and data solution architectures for clients, developing strategic roadmaps and proof of concepts. Collaborate with on-shore and off-shore development teams in an Agile environment.

Deloitte★3.9 (14k)· London

Works with cloud platforms AWS, Azure, GCP, Databricks, Snowflake and GenAI. Leads complex AI and data transformations for clients within the Strategy, Governance and Architecture team, designing architectures for data sourcing, APIs, machine learning and data monetisation. The Senior Manager guides multidisciplinary delivery teams and mentors junior colleagues.

You will work with Android, Kotlin, Java, and AI tools, managing engineers across multiple teams and locations for the Watch Software Telemetry team. This team provides tools, pipelines, and infrastructure for metrics collection, data analysis, and insight generation to accelerate quality improvements for Wear OS, Pixel Watch, and Fitbit. You will oversee large-scale project deployments and a large product budget internationally.

This role uses React, React Native, Node.js, DevOps and CI/CD. You will lead multiple cross-functional Agile teams delivering customer-facing web and mobile platforms and enterprise-scale digital products.