Design and build production-grade ML systems using MCP servers, recommendation systems, RAG pipelines, LLMs, and foundation models with Python, TensorFlow, PyTorch, FastAPI, and LangChain. You will own the end-to-end AI lifecycle for a sales data platform, deploying models into batch/real-time environments to drive forecasting, segmentation, and early warning systems. This role focuses on embedding context-aware intelligence into decision-making tools for business stakeholders.

FDM Group★2.9 (270)· London

You'll work with Python, pandas, JSON, REST APIs, LLMs, RAG, vector embeddings, and semantic search to build data ingestion pipelines and scalable platforms that enable AI-powered analytics and decision support within a leading global investment bank.

Rail Safety and Standards Board★3.8 (17)· London

Senior Data Engineer roles at RSSB using SQL, Python, Airflow, Databricks, Power BI/Fabric, Git, and FastAPI to build data pipelines, APIs, and data stores for analytics and data-driven tools from rail-industry safety, performance, and operational datasets.

Design and build production-grade ML systems including MCP servers, recommendation engines, and RAG pipelines. Work with Python, LLMs, LangChain, FastAPI, PyTorch, Spark, SQL, vector databases, and AWS/GCP on a sales data platform to create chatbots, semantic search, and forecasting models. Own the full AI/ML lifecycle—from problem definition to deployment and monitoring—to drive sales strategy and decision-making.

You'll lead Python and FastAPI development on Lendable's Data Team, building data pipelines, APIs, and services deployed via Docker, Kubernetes, and AWS with ArgoCD. The fintech company rebuilds consumer finance products (loans, credit cards, car finance) to serve UK and US markets faster than traditional banks. You'll mentor a small team of 1–2 engineers while owning technical direction and remaining hands-on with code.

You will work with Databricks, Neo4j, Python, FastAPI, Spark/PySpark, SQL, and cloud-native platforms. The role focuses on building graph-driven data platforms and backend data services for advanced analytics and knowledge graph use cases at Acuity Analytics, a data and digital transformation solutions provider.

FDM Group★2.9 (270)· London

Python, pandas, JSON, REST APIs, FastAPI, LLMs, RAG, vector embeddings, semantic search, Plotly, and Plotly Dash. You will build scalable data platforms and AI-powered solutions for a leading global investment bank, enabling intelligent scenario modelling and decision support.

Quilter★3.4 (120)· London

Work with Python, PyTorch, LangChain, Hugging Face, Databricks, and Azure to develop and deploy traditional and GenAI machine learning models, including LLM and RAG pipelines. The role is in the AI Centre of Excellence at Quilter, a wealth management firm overseeing £126.3 billion in customer investments.

You'll develop Python-based analytics tools using FastAPI, Flask or Django alongside React, JavaScript/TypeScript, and Node.js, with Databricks and modern data lake architecture. The role supports a London Market insurer's exposure analytics team, building tools for underwriting decisions, portfolio optimization, catastrophe risk management, and AI-enabled solutions including natural language querying and agentic workflows. You'll collaborate across Data, Infrastructure, Claims, Pricing and Underwriting teams on exposure calculation engines using Open Exposure Data formats.

Lead Python Engineer at Lendable builds data pipelines, APIs and services using Python, FastAPI, Docker, Kubernetes and AWS to power the company's US fintech products in loans, credit cards and car finance. You'll balance hands-on coding with mentoring a small team of 1–2 engineers while shaping the data platform architecture as Lendable scales into the US market.