Snowflake★3.7 (31)· London

You'll work with Python, SQL, LangChain, Hugging Face, PyTorch, RAG, and modern data architectures (warehousing, lakes, lake house). As a Solution Engineer, you'll present Snowflake's AI Data Cloud, deliver demos and proof of concepts, and collaborate with sales and channel partners to drive adoption.

Snowflake★3.7 (31)· London

Work with Python, SQL, and modern AI/LLM ecosystems including RAG, LangChain, Hugging Face, and PyTorch, supporting data warehousing, data lakes, and lake house architectures. As a Solution Engineer at Snowflake, you drive sales cycles, deliver demos, and run enterprise Proofs of Concept for the AI Data Cloud.

Snowflake★3.7 (31)· London

Senior Solution Engineer at Snowflake supporting UK customers, using SQL (and ideally Python) to demonstrate Snowflake’s data cloud and AI capabilities. The role involves hands-on demos, proofs of concept, and collaborating with sales teams, partners, and product management to solve complex data challenges.

You will use AWS, AWS Glue, Apache Airflow, Snowflake, Amazon QuickSight, SQL, and Python to build and maintain production ETL/ELT pipelines and cloud-native data platforms. You join a newly established Data Engineering team within a leading UK Financial Services organisation focused on unsecured lending.

You will work with Azure, Adverity, SQL, Python, cloud services (Azure, GCP, AWS), data orchestration tools (Airflow, Prefect), Git, and visualization tools (Power BI, Tableau, Datorama). As a data engineer in a media activation team, you will build and maintain ETL pipelines and reporting platforms to deliver marketing intelligence for clients.

The role uses SQL, R, and/or Python for advanced statistical modeling, machine learning, and psychometric analysis. It is part of the Talent Insights and Analytics function at EY, where you design and conduct organizational research to inform strategic talent decisions and workforce interventions.

The role involves Python, PySpark, SQL, and cloud platforms like Microsoft Fabric, Databricks or Snowflake, building data lakes, warehouses, and pipelines with Git-based version control. You'll join a Group IT team delivering data engineering and business intelligence solutions for a tier one main contractor in the construction industry.

Expedia Group★3.8 (1.2k)· London

This Machine Learning Scientist II role develops and optimizes ranking models using machine learning and GenAI for travel lodging search and recommendations. The position involves Python, common ML frameworks, A/B testing, and deploying models into production. You will work on the Lodging Search Ranking AI team, collaborating with analytics, product, and engineering to improve traveler experiences.

Trainline★3.9 (17)· London

You'll build data pipelines using Spark, DBT, SQL, Python, Airflow, and Terraform on AWS data lakes with Iceberg, Jenkins, and GitHub Actions. You'll create data marts and models for Trainline, a rail-ticket booking platform, working with BI developers and data scientists on dashboards, analytics, and machine-learning datasets.

Use Python (pandas, NumPy, SciPy, matplotlib/seaborn) and SQL with cloud-based data tools and large language models. Build predictive and statistical models to identify alpha signals from alternative data for a leading investment manager with a global presence.

The Machine Learning Engineer will work with Python, R, C++, TensorFlow, PyTorch, and scikit-learn to build and deploy predictive models. The role supports materials research in solidification, casting, and alloy development, applying ML to process optimization and industrial decision-making. The engineer collaborates with materials scientists to translate research questions into ML solutions.

WPP Media★4.0 (1)· London

This Senior Data Engineer role builds scalable data pipelines and infrastructure using GCP (BigQuery, Cloud Storage), Snowflake, SQL, DBT, and Python, and supports Power BI integrations. The team delivers data foundations for analytics products at WPP Media, WPP's AI-driven media operating unit, enabling creative personalisation at scale.

The role involves Excel, data visualisation, forecasting, scenario analysis, market data analysis, and AI tools (Python a plus). The analyst will join TBI’s Geopolitics Team, covering the Americas and briefing senior leaders and corporate clients on geopolitical developments. The global institute advises governments on strategy, policy, and delivery.

The role involves data visualisation, forecasting, scenario analysis, market data analysis, Excel and AI tools. The Geopolitics Team provides decision-relevant geopolitical insight to senior public and corporate leaders. The analyst will focus on China and Asia-Pacific, producing briefings and analysis.

You will work with Python, FastAPI/Flask, PostgreSQL, MySQL, BigQuery, GCP and/or AWS, and IAC/CI/CD tools to build production-grade data pipelines and MLOps infrastructure. You’ll join Ki’s commercial performance insights squad to upgrade algorithm decision data to a versioned event stream and support a Monte Carlo simulation engine for an algorithmic insurance carrier. The role is in an agile, cross-functional squad.

Synapri★0.0· London

You will use Python, SQL, PySpark, NLP, GenAI, and Azure with CI/CD to build end-to-end data science solutions. As part of a customer’s Journey Insights team, you will transform structured and unstructured customer interaction data into insights and production-ready models using machine learning, NLP, and generative AI.

NiCE★3.4 (30)· London

Develop machine learning and AI solutions using Python, SQL, NLU, and NLP. Build, evaluate, and improve models and pipelines for customer operations, working with text and structured data. Implement and evaluate new techniques across the full ML lifecycle.

JMAN Group★0.0· London

You will work with Excel, PowerPoint, Tableau or Power BI, SQL, Python, or Alteryx, with a grounding in data science or AI beneficial. JMAN delivers data-driven solutions for private equity funds, including due diligence, core reporting, Data & AI advisory, and value creation. You will lead complex client workstreams end-to-end, guiding global delivery teams and developing junior consultants.

BBVA★4.1 (7.8k)· London

You will work with C++ and Python to design, develop, and enhance pricing and risk management models for interest rate, credit, and inflation derivatives. As the primary quantitative partner for London trading and structuring desks, you will define modelling frameworks and lead model governance. You will also mentor junior quants.

NiCE★3.4 (30)· London

Work with Python, SQL, NLU, NLP, text classification, structured/tabular data, cloud platforms, and MLOps to build machine learning and AI solutions that support customer operations. The role focuses on developing and improving NLU models, preparing training data, and running experiments across the full ML lifecycle.

You will design, build, and maintain data pipelines on Google Cloud Platform using BigQuery, Cloud Storage, Snowflake, SQL, dbt, and Python. As part of WPP Media’s global team, you will support its AI-driven media operating unit by transforming complex business requirements into reliable data assets for client analytics products.

You'll work with Python, PostgreSQL, MySQL, BigQuery, FastAPI, Flask, GCP/AWS, and CI/CD pipelines. You'll join the commercial performance insights squad to build data pipelines and event streams for monitoring algorithmic insurance underwriting, including Monte Carlo simulation.

Develop ML and AI solutions using Python, SQL, and NLU, focusing on model development, data preparation, and experimentation for customer operations. The team builds production AI systems across the full ML lifecycle. NICE Ltd. provides customer experience and financial crime software to global businesses.

Lead a team of three data scientists and three ML engineers using Python, Kafka, Spark, Flink, and on-device ML to transform phone sensor data (accelerometer, GPS) into driving-behavior models for fair insurance pricing and safety. The role owns the full telematics and pricing stack, reporting to the Director of Data.

You will work with Java microservices, Spring Boot, Python, SQL, Snowflake, dbt, Airflow, LangChain, Sagemaker, and MLflow. The data science team builds ML solutions for risk-based decisioning, pricing, and operational automation in insurtech/fintech. This is a hands-on leadership role—you will lead and develop the team while setting technical standards.