Wise★3.5 (42)· London

Work with Python, deep learning image models, and large image/tabular datasets to train and manage machine learning models. You will join the KYC Global and Onboarding Team, building Document verification systems that mitigate risk during customer onboarding.

You'll work with Python, PyTorch, SGLang, LLMs, embeddings/reranking models, PEFT/LoRA, RAG, Docker, microservices, and cloud infrastructure. The team builds AI-powered applications transforming specialized financial markets, developing and deploying LLM solutions with significant autonomy. You'll join a small, experienced engineering team collaborating directly with founders and domain experts.

You will research, design, and develop deep learning models using transformer architectures, PyTorch, TensorFlow, and Python, plus AWS SageMaker and S3. The team builds foundation models from large-scale transactional and behavioural datasets to power customer intelligence for a major UK bank.

Develop and extend investment strategy architecture using Python and Django, implementing and backtesting quantitative trading strategies while exploring machine learning for parameter optimisation. The role bridges software engineering and quantitative research, collaborating with a small engineering team to deliver production-ready solutions.

Durlston Partners· London

Python, Pandas, NumPy, SQL, SQLAlchemy, version control, testing, and CI for building and maintaining a research environment for diversified systematic strategies in commodities. Projects include fixed income pricing, data acquisition, order execution, and monitoring tools for a global investment management fund.

You’ll work with Microsoft Fabric, Python, Power BI, DAX, semantic models, Git, and AI-assisted development tools. You’ll build and optimize data ingestion pipelines, website/marketing analytics, returns reporting, and the wider analytics platform for digital, commercial, and operational teams. No team size is stated.

This role involves maintaining and building data pipelines using SQL, Python/Java, and cloud tools like Google Cloud Platform, BigQuery, Airflow, dbt, and Apache Spark. The team supports data analytics and reporting for a media company's portfolio. It focuses on integrating data from web analytics, CMS, subscription, and ad tech sources to enable business intelligence.

LiveScore Group★3.4 (14)· London

You will work with Python (pandas, numpy), SQL, and MMM frameworks (Meta’s Robyn, Google’s Meridian, PyMC). The Marketing Analytics team builds and refines statistical models to measure ROI and optimize marketing spend for LiveScore Group’s sports brands.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

Use Python (strong knowledge), Hadoop, Spark, or similar big data tools, cloud platforms (AWS, GCP, Azure) and data warehousing solutions to design and implement models that forecast and manage liquidity for Wise’s Treasury team, ensuring enough cash is in the right place at the right time while controlling liquidity risk.

Capgemini★3.7 (11k)· London

Works with Neo4j, Amazon Neptune, Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Designs and implements an enterprise knowledge platform using knowledge graphs, RAG, and GraphRAG to enable AI agents across Insurance, Payments, and Healthcare domains. Leads platform strategy and cross-functional engineering teams.

Capgemini★3.7 (11k)· London

Designs and implements enterprise knowledge platforms for AI agents across Insurance, Payments, and Healthcare domains, using graph databases (Neo4j, Amazon Neptune, TigerGraph, ArangoDB), retrieval technologies (Azure AI Search, Elasticsearch, Pinecone, Weaviate, Qdrant), and Python on cloud-native stacks (Azure, AWS, Kubernetes, Docker).

Allianz★3.8 (3.4k)· London

You will work with Excel, Python, SQL, Databricks, WTW Radar and Emblem, and statistical models (GLMs, GBMs). As a Principal Technical Pricing Analyst on the home team, you will shape pricing models for Allianz UK's largest insurance portfolio and mentor junior pricing specialists.

Allianz★3.8 (3.4k)· London

You will work with Python, SQL, SAS, Databricks, and Willis Towers Watson Radar to develop and implement rating proposals for Allianz’s broker motor portfolio (standard car and van). The Standard Motor Risk Selection team coordinates pricing analysis and technical projects to improve underwriting performance.

Fortinet★3.7 (188)· London

Work with Python, Microsoft SQL, Mongo, Postgres, and Tableau to maintain data pipelines, ETL processes, and REST API integrations. Support Sales Operations by managing databases that serve as the foundation for AI and LLM-powered tools across the organization.

Work with SQL, Python, AI tools (LLMs, AI agents), and data visualization tools (Tableau, Power BI, D3.js) on AWS, Snowflake, Postgres, and MySQL. Analyze private markets and alternative investment data, extracting insights from unstructured text (PDFs) and collaborating with Product and Machine Learning teams.

You'll use Python, SQL, and production ML models (gradient boosting, neural networks, linear models) to build recommendation, churn, and uplift systems. The CRM tribe personalises customer journeys—onboarding, engagement, retention—by recommending the right product at the right moment. This is an individual-contributor (IC) role with end-to-end ownership of data pipelines and model delivery.

Quantiphi★3.3 (60)· London

You will work with AWS SageMaker, EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline), MLflow, Kubeflow, Airflow, BentoML, KServe, Seldon, and Kubernetes. As an MLOps/AIOps Architect, you will architect end-to-end MLOps strategy and enterprise ML/LLM pipelines for Quantiphi, an AI-First digital engineering company serving Fortune 1000 organizations.

Meta★4.0 (1.1k)· London

Work with Python and SQL for data analysis, prompt engineering, annotation pipelines, and AI evaluation frameworks. The team defines content quality standards and builds repeatable workflows to evaluate AI model outputs across Meta's products, working cross-functionally with engineering, product, and data science.

You will work with SQL, Python, AWS or Azure, Snowflake

Competition & Markets Authority★3.7 (15)· London

Data scientists join a ~20-person Data Science & Data Engineering team building tools on AWS, using Python, Git/GitHub, generative AI, agentic AI frameworks and web apps. The CMA regulates digital markets and protects consumers by analysing large-scale data and algorithms to ensure fair competition.

Talan★3.2 (67)· London

Senior Data Consultant will design, build, and maintain data pipelines using Python, working with data dashboards and quantitative analysis tools. They will lead data-led consulting projects focused on low-carbon technologies and energy transition policy for the Talan consultancy team, predominantly in the energy sector.

International Rescue Committee★4.2 (794)· London

Data Analyst will create and maintain dashboards and reports using core business systems Integra, OTIS, Salesforce, and PID, analyzing large datasets on budgets, grants, and programs. This role supports the IRC's METAL Unit, providing management insights to CRRD leadership on strategic goals and resource allocation. No direct reports are noted.

Work with Python, TensorFlow, PyTorch, scikit-learn, FastAPI/Flask, Docker, Kubernetes, open-source LLMs, vector databases, and AWS/Azure/GCP. Design, build, and deploy ML models, develop Generative AI and RAG pipelines, and fine-tune LLMs for a health-focused AI team.

Fintricity★1.0 (1)· London

You will work with Python, TypeScript, LLMs, agent frameworks, RAG systems, vector databases, LangGraph, LangChain, and cloud services. The role builds enterprise-grade AI infrastructure for agentic systems, including AI gateways, model orchestration, and agent control planes at Fintricity and Kendra Labs.