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.

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.

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 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.

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.

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.

Houseful★0.0· London

Manage a small team (~3 engineers) on Databricks, DBT, Fivetran, Python, SQL, AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform, Kafka, ECS, and Kubernetes. The team scales a data lakehouse and builds infrastructure for data commercialisation products at Alto Software Group, a B2B SaaS company powering UK housing transactions. This is a 50/50 hands-on engineering and people-management role.

You’ll build scalable Python backend services and high‑quality frontends with Next.js, working across sensor ingestion, clinical knowledge graphs, and protocol engines. Healf Zone combines customers’ bloods, wearables, tests, and lifestyle data into personalised, ongoing wellbeing guidance. As founding engineer, you set the architecture, lead multiple pods (intelligence engine, diagnostics, companion app), and hire the team.

Lead a hands-on engineering team building a greenfield Agentic AI Platform for banking workflows using Python, Java/Spring Boot, and Go, with LLM/agentic frameworks (Google ADK, LangChain), GCP, Vertex AI, Elastic, Pinecone, Databricks, Kafka, Kubernetes, and Terraform. You will drive architecture, code, and mentor a new team of software and ML engineers.

Citi★3.9 (21k)· London

Lead architecture and hands-on development of a greenfield Agentic AI Platform on GCP using Vertex AI, ADK, LangChain, multi-agent architectures, and RAG with Python, Java/Spring Boot, and Kubernetes. The platform empowers Citi’s corporate and investment bankers with autonomous agents to streamline workflows and deepen client relationships.

Accenture★3.9 (29k)· London

You will build production-grade agentic AI systems using LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Vertex AI, Kubernetes, Docker, Python, and Java. The role designs end-to-end multi-agent systems, RAG pipelines, and LLMOps (LangSmith, Braintrust) while embedding with client engineering teams to deliver enterprise solutions. No team size is stated.