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.

The Senior Analyst will use Excel, data visualisation, forecasting, scenario analysis, market data and AI tools (Python optional) to produce geopolitical insight. The role leads coverage of the Americas for the Geopolitics Team, which briefs Tony Blair, senior TBI leadership, government principals and corporate clients on political, security and market risks.

The role uses data visualisation, forecasting, scenario analysis, market data, Excel, and AI tools (Python a plus). You will join TBI’s Geopolitics Team, providing decision-relevant geopolitical insight on China and Asia Pacific to senior public and corporate clients.

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.

Synapri★0.0· London

You will use Python, SQL, PySpark, machine learning, NLP and Generative AI to build scalable data science solutions on an Insights team. The role involves transforming customer interaction data into insights, deploying models in Azure with CI/CD, and using tools like PyTorch, MLflow, DBT and Databricks.

Staff Machine Learning Engineer role at Sony Interactive Entertainment's Visual Computing Group, working with TensorFlow or PyTorch and Python for graphics and video processing. The team designs and deploys neural networks for game rendering and live streaming R&D. Requires 7+ years experience and publications at top-tier conferences.

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.

Build production-grade generative and agentic AI using Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure, GCP, vector stores, SQL, Kubernetes, and CI/CD for the company’s product platform.

You'll work with Python, Braintrust, LangSmith, Arize, Weights & Biases, and CI/CD. The AI Engineering team builds eval and observability pipelines for production AI features — designing scoring pipelines, monitoring quality signals, and wiring eval gates into promotion paths.

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.

You’ll design, build, and support automation/orchestration solutions using APIs, workflow/BPM/case-management platforms, RPA, Python, SQL, cloud services, middleware, event-driven architecture, and AI-enabled tools. You’ll join Pacific Life’s Digital Process team, an internal delivery partner enabling global digital transformation through workflow, automation, and orchestration capabilities. No team size stated.

Work with Python, SQL, Git, Docker, cloud platforms, and CI/CD to develop, test, and deploy software and AI solutions, build data processing pipelines, and contribute to machine learning and automation projects. The team creates AI projects that drive real-world solutions.

You’ll build cloud-native apps with C#/.NET and Azure, design Microsoft Fabric and Medallion data pipelines, handle ETL/ELT, SRE, and integrate LLMs via OpenAI/Azure OpenAI. Based at startup Lineten Ltd., you’ll join a small team enabling internal and external data self-service analytics.

You will work with Python, databases, APIs, and microservices to design and implement software for the Risk team’s core risk and PnL systems. The team supports risk analysis and reporting for the firm’s trading business, with a focus on Fixed Income products including bonds, swaps, futures, and options.

Quantitative researchers will develop mathematical, statistical, and machine-learning models for systematic trading, working in Python, with C++ and SQL as desirable, alongside large-scale data analysis. The role spans full research-to-production, collaborating with portfolio managers and engineers at a global quantitative investment firm. No team size is stated.

Senior Data Migration Engineer using SAP, SQL, and Python on a global ERP and middle-office transformation programme, migrating data for a large multi-site UK operation.

Python, Pandas, SQL (Snowflake, Postgres), AirFlow, Datadog, Grafana, Prometheus, and optionally PySpark/Dask. You will design and own a generalized system for business-critical reports from the backend data platform at a global prime brokerage and financing firm covering traditional and digital assets.

Deloitte★3.9 (14k)· London

You will work with Python, NumPy, Pandas, scikit-learn, LangChain, Hugging Face, LlamaIndex, Azure Machine Learning, Foundry, Git, and Agile practices. The team is Deloitte’s Tax Digital Innovation AI & Data Studio, which researches, builds, and delivers analytics and AI-driven solutions for tax and legal clients.

Work with Python, SQL, JavaScript/TypeScript, NumPy, Pandas/Polars, visualization libraries, and deep learning frameworks (PyTorch, JAX, or TensorFlow) to design and deploy full-stack data-driven applications and machine learning solutions. You will be embedded with Arsenal's Men’s First Team Analysis department, building tools that directly support coaching and analysis workflows.

Develops enterprise data platforms using Python, SQL, and Databricks, building ETL/ELT pipelines and working with data lakes and lakehouse architectures.

Lead and grow a Data Engineering function within an AI SaaS company, managing a small team of Data Engineers. You will use SQL and Python with modern data platform experience, reviewing code and technical decisions. This role involves delivering customer-facing data products and working with Product, AI, and Engineering teams.

Use Azure, Databricks, Python, PySpark, SQL and Azure Data Factory to build scalable ETL/ELT pipelines and cloud data solutions. You will design and maintain data systems for a London Market insurer’s enterprise platform, supporting smarter decisions across Underwriting, Finance and Operations.

Work with Python, SQL, SHAP, Airflow, PyFlink, BentoML, Git, Jenkins, Octopus, Docker, JIRA and MLFlow. As a Data Scientist at Zempler Bank, you develop algorithms to protect customers, widen credit access and improve financial outcomes. You implement and monitor models in production.