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.

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.

Swiss Re★4.0 (210)· London

Lead delivery of data products and Palantir Foundry workflows to improve underwriting decisions, using Python and SQL for data modelling and production-grade development. The Portfolio Strategy & Steering team builds analytical tools for portfolio planning, capacity setting and risk steering within Swiss Re, a reinsurance and insurance risk-transfer provider. You will lead mixed engineering, data and portfolio teams.

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.

You will build underwriting-specific data products, analytical capabilities and Palantir Foundry workflows using Python and SQL. The Swiss Re Portfolio Strategy & Steering team combines underwriting portfolio management, engineering, data and advanced analytics to improve underwriting decisions. You will lead mixed engineering, data and portfolio teams.

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.

Equinix★3.7 (391)· London

Leading engineering pods building the orchestration layer, agent capabilities, dashboards, and enterprise integrations for Equinix's software delivery lifecycle platform. Work involves LLM-powered applications, agentic systems (MCP/A2A), APIs, event-driven systems, and cloud platforms.

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.

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.

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.

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.

CIBC★3.7 (4.4k)· London

Executive Director, Data Product Owner for Global Markets at CIBC. You will own data products and strategy using Databricks, Spark, and lakehouse architecture. The Quant Solutions Group builds software, analytics, and AI tools for pricing, risk, and trading. No team size stated.

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.

This role involves leading mobile engineering as part of a digital consultancy that builds digital products and services for major organisations. No specific technologies, tools, or team size are mentioned in the listing.

Engineering Manager role using Python, Vue.js, and Azure. The company is an AI product business with commercial traction, working with well-known organisations. The role involves managing and supporting product engineering teams delivering customer-facing software.

International Rescue Committee★4.2 (794)· London

Lead a newly created AI security function at a humanitarian NGO, defining the strategy, building and developing a dedicated team, and owning the budget. You will set technical security requirements for AI agents and tools, perform risk assessments, and partner with IAM, Privacy, and Legal teams to ensure secure-by-design AI adoption. The role covers the full AI lifecycle from design to production, including red teaming, a governance registry, and managing review SLAs.

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.

Fresha★3.0 (8)· London

Lead and shape security strategy, owning controls across endpoint, network, cloud, identity, and application environments. Work with engineering and IT to integrate security early, running pentesting, vulnerability management, incident response, threat intelligence, and automated threat modeling with AI. This role owns Fresha’s security posture for its all-in-one booking, payments, and operations platform for beauty and wellness businesses, operating under PCI DSS, HIPAA, and SOC 2.

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

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.

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.

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.