Python, C++, KDB+/q, Git, Agile, CI/CD, and database technologies. You will partner with Quantitative Researchers to build scalable Python applications and high-performance data processing for research, analytics, and live trading at a hedge fund.

Work with Python, FastAPI, Docker, DuckDB, JSON Schema and Git to design, build and ship client ETL pipelines that map raw bank data onto the FIRE regulatory reporting standard. You will maintain a shared ETL framework, write validated mapping code, and mentor junior engineers at Suade, a regtech SaaS company automating compliance for financial institutions.

Work with SQL, Python, and modern data technologies (dbt, Spark, containers, DevOps tooling, orchestration tools, Git, AI/ML). As a Solution Engineer for the UK market, you present Snowflake’s technology and vision, working hands-on with prospects to demonstrate value through demos, proof-of-concepts, and design.

You will work with AWS, Kubernetes, Terraform, Python, Java or Scala, and AI-driven development tools (Claude, LLMs). You will build and maintain the distributed-compute and data-science platform that powers Macquarie's trading and analytics workflows, collaborating with quantitative analysts and trading desks.

The Specialist Works★4.8 (5)· London

You will primarily work with Python, SQL, Azure, and the Adverity platform to create, monitor, and optimize data pipelines. You will be a key member of a dynamic media activation team, delivering bespoke marketing intelligence reports and ETL solutions for the agency's clients.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

Snowflake★3.7 (31)· London

This role uses SQL and Python, with experience in modern data technologies such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git. You will work with the account sales team and channel partners to present Snowflake’s data platform and vision, solving complex data challenges for customers in the UK market.

Snowflake★3.7 (31)· London

Work hands-on with SQL and Python, using modern data tools such as dbt, Spark, containers, DevOps tooling, orchestration tools, and Git. Present Snowflake’s cloud data platform technology and vision to executives and technical contributors, demonstrating value through demos, proofs of concept, and implementations. Partner with account sales teams and channel partners to help customers evaluate and adopt Snowflake.

Snowflake★3.7 (31)· London

You'll work with SQL, Python, and modern data tools (dbt, Spark, containers, DevOps, Git) as a Solution Engineer, partnering with sales and channel teams to help customers adopt Snowflake's cloud data platform for analytics, data engineering, and AI/ML.

Snowflake★3.7 (31)· London

Work with SQL, Python, and modern data technologies (dbt, Spark, containers, DevOps, orchestration tools, Git) to demonstrate Snowflake’s data cloud platform. You partner with account sales teams and channel partners to solve complex data challenges for UK travel customers.

SQL, MySQL, PostgreSQL, Doris Event, QuickSight, and possibly Amplitude, Mixpanel, GA4, Airbridge, Adjust, Airflow, dbt, Git or Python. You will own analytics schema, data models, and BI dashboards for ZYMIX, a Gen Z social super-app launching in the UK, bridging product analytics with data building.

Bloomberg★3.8 (1.1k)· London

You will work with Python, SQL, PySpark, Pandas, NumPy, Airflow, dbt, Kafka, Iceberg, Trino, Superset, and data visualization tools. The Entity Data team manages core entity data for over 7 million public and private companies, supporting reference data and private markets; as Data Quality Manager you define and execute the quality strategy.

Capgemini★3.7 (11k)· London

Design, build, and manage data pipelines and models using AWS Snowflake, Azure Data Lake, Databricks, Redshift, and BigQuery. Automate CI/CD with Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, and provision infrastructure with AWS CloudFormation, Docker, ECS, EKS, and Kubernetes. Capgemini is an AI-powered global business and technology transformation partner.

Low Carbon Contracts Company★4.4 (7)· London

Energy Analyst role using Python, R, Git, Excel, Power BI, SQL, and AI/automation to own and improve forecasting systems (e.g., ELFO) and deliver energy market analysis. Role sits within LCCC’s Analytics team, supporting levy setting and the company’s mission to decarbonise UK electricity generation towards Net Zero.

Lloyd's Register★3.7 (276)· London

The Senior Data and Insight Scientist uses SQL, Python, R, cloud platforms (GCP/BigQuery), dbt/Dataform, Git, and BI tools (Looker Studio, Tableau, Power BI) to lead analytics for the Lloyd’s Register Foundation, supporting the World Risk Poll and Global Safety Evidence Centre by transforming complex data into actionable safety insights.

MAREX★3.2 (6)· London

Design and implement resilient data ingestion, orchestration, and provisioning using APIs, event streaming, CI/CD, and infrastructure-as-code for Marex's enterprise data products. This role supports the firm's global financial services platform by delivering trusted, reusable data assets and integration capabilities for operational, regulatory, and analytical use cases.

Echobox★4.0 (1)· London

You will work with Python, Java, or Node.js, back-end frameworks, SQL/NoSQL databases, RESTful APIs, microservices, Git, and AWS/GCP/Azure. You will build and maintain back-end services and systems supporting AI-powered products that help online publishers.

Echobox★4.0 (1)· London

You will work with Python, Java, or Node.js, SQL and NoSQL databases, RESTful APIs, microservices, Git, and cloud platforms (AWS, GCP, Azure) to build and maintain back-end services. The company develops AI that helps online publishers like The Times and Le Monde overcome daily challenges, and you will collaborate with data scientists and product teams to support these AI-powered products.

You will work with SQL, Python, R, GCP/BigQuery, dbt/Dataform, Git/GitHub, BI tools (Looker Studio, Tableau, Power BI), and Shiny. The role provides analytical leadership for Lloyd’s Register Foundation’s evidence‑led safety mission, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre.

You will use SQL, Python, Spark/PySpark, Pandas, orchestration tools, AWS/Azure platforms (Databricks, Redshift, Microsoft

You'll work with Python, C#, SQL, REST APIs, cloud platforms (Azure, AWS, Snowflake), CI/CD, Docker, and Git. You'll join a dedicated AI squad building and shipping production-grade AI-powered applications using Generative AI, LLMs, agentic AI, and prompt engineering for an investment management firm.

Lloyd's Register★3.7 (276)· London

You will work with SQL, Python, R, GCP/BigQuery, dbt or Dataform, Git/GitHub, and BI tools like Looker Studio, Tableau, or Power BI. You will provide analytical leadership across Lloyd’s Register Foundation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. In this senior individual contributor role, you will lead high-quality quantitative analysis and translate findings for non-technical audiences.

Research, develop, and evaluate state-of-the-art deep learning models for volumetric CT data using Python and PyTorch. You will contribute to self-supervised pre-training of large 3D foundation models and specialize models for segmentation, classification, and regression to support clinical-trial and real-world evidence programmes. The role is within the Machine Learning function at Qureight, which builds an AI-powered imaging platform for lung and heart disease.

You will use Python/PySpark, AWS S3/Glue/EMR, SageMaker, SQL, Git, CI/CD, Terraform/CDK, and Airflow/dbt/Step Functions to migrate ML data pipelines from Databricks (Spark/Delta Lake) to an AWS SageMaker MLOps platform. You join a small Databricks workstream team building and migrating feature engineering, feature store, and data access layers for production pipelines in a regulated iGaming environment.

Corpay★3.0 (944)· London

You will work with Python, pandas, NumPy, scikit-learn, SQL, LLM/agentic AI/RAG systems, and cloud platforms (AWS, GCP, Azure). You will support the Data Science team in developing predictive models, machine learning workflows, and agentic LLM-based tools for Corpay’s commercial payments business.