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.

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.

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.

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.

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.

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

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.

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.