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.

LSEG★3.7 (403)· London

Core AI Engineer role at LSEG building enterprise-grade AI products using Python, LLMs, GenAI, agent frameworks, RAG architectures, vector databases, APIs, microservices, and cloud-native development (Azure preferred). The AI & Automation team transforms LSEG operations through AI, automation, and intelligent engineering, delivering scalable AI solutions. Requires designing architectures, MLOps, CI/CD, and technical leadership across AI initiatives.

You will execute A/B tests, multivariate tests, and personalisation campaigns using platforms like Optimizely, VWO, and Adobe Target, working with analytics suites such as Google Analytics 4 and Adobe Analytics, plus CMS and CDP tools. The role drives daily execution of the Rapid Iteration & Optimisation framework, collaborating with Paid Media, CX, and Development teams to deliver performance-enhancing site updates.

Works with A/B testing tools (Optimizely, VWO, Adobe Target), analytics (GA4, Adobe Analytics) and CDPs (Segment, Tealium), plus basic HTML, CSS, JS. Executes daily high-velocity site optimisation and continuous improvement for global clients within WPP Enterprise Solutions, collaborating with Paid Media, CX, and Development teams.

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.

UST★3.7 (1k)· London

You will design and build agent-based AI systems using Python, LangChain, LlamaIndex, and AWS, focusing on multi-agent orchestration, RAG pipelines, and LLM-powered application backends. At UST, a digital transformation solutions provider, you will deliver production-grade, agent-based AI solutions integrated into complex enterprise environments.

International SOS★3.4 (566)· London

Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure/GCP, vector stores, SQL, Kubernetes, and Git. You will build production-grade generative and agentic AI solutions—RAG pipelines, multi-step agents, and predictive models—for the company’s product platform.

Zaizi★4.0 (5)· London

Quantize and deploy open-source SLMs (Gemma 3, Llama 3) and vision-language models using LiteRT/TFLite, ONNX Runtime, and ExecuTorch. Design knowledge graph pipelines and on-device graph databases in Python, Rust, or C++, and build MLOps pipelines for air-gapped environments. The team delivers deterministic, explainable, human-in-the-loop AI decision-support tools for UK Defence intelligence users.

You'll use Python and platforms like Braintrust, LangSmith, Arize, or Weights & Biases to build eval and observability pipelines for AI features, including scoring, hallucination detection, and CI/CD quality gates. You join the AI Engineering team at an AI consulting firm that builds digital products for clients like PayPal and adidas.

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.

Quantspark★0.0· London

Lead a small team of data and AI engineers using Python (Flask/Django), Pandas, and React.js on containerised, cloud-based systems (AWS/Azure). QuantSpark is a data and AI consultancy of around 50 people building working systems for clients across financial services, retail, manufacturing, and more.

RBC★3.9 (5.5k)· London

You will design, build, and maintain REST and GraphQL APIs and MCP servers using Python (FastAPI, Flask) serving ML models from Databricks for internal apps, CRM platforms, AI agents, and LLM applications. You will build middleware, prototype applications, and mentor junior colleagues in a team reporting to the Director, Data Science.

Lineten★2.6 (5)· London

Build cloud-native services using C#, .NET, Azure, and Microsoft Fabric with a Medallion architecture, while integrating AI/LLMs and automating infrastructure. You’ll own end-to-end development, data pipelines, and site reliability for a small startup team building internal and external data self-service solutions.

Pacific Life★3.7 (310)· London

You will work with workflow platforms, APIs, RPA, intelligent document processing, AI-enabled automation, and cloud services to design and deliver automation and orchestration solutions. The Digital Process team acts as an internal delivery partner implementing these capabilities to support a global digital transformation programme.

You will work with Python, SQL, Git, Docker, cloud platforms, and CI/CD to build data pipelines and develop, test, and deploy AI solutions across engineering and machine learning teams.

Arup★4.0 (352)· London

Python, Git/GitHub, pytest/unittest, CI/CD pipelines, AWS/GCP/Azure, Terraform/Docker, MATSim, Java, and PopulationSim. The Transport Modelling and City Modelling Lab teams build agent-based and activity-based models to solve urban transport challenges, using data and software engineering to plan future mobility systems.

Lead a small team of data and AI engineers using Python (Flask/Django), Pandas, and React.js on containerised, cloud-based systems (AWS/Azure). As a data and AI consultancy, QuantSpark turns strategy into working systems across financial services, retail, and other sectors. This client-facing role also owns team hiring and performance alongside technical direction.

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.