applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development More ❯
london (city of london), south east england, united kingdom
HCLTech
applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Robert Half
the stack - React on the front end, Python on the back end. You'll: Build responsive UIs in React Develop APIs & services in Python (either Django/Flask/FastAPI) Own features end-to-end Help shape our tech stack You have: Strong React & Python skills API & database experience A proactive, problem-solving mindset Ideally start-up or scale-up More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
Highly desirable skills include: Domain Experience: Familiarity with the unique structure of sports data (e.g., event, tracking, scouting, video). API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anecdote
Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Anecdote
Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework ( ADK preferred ). Proven track record shipping AI agents and building RAG pipelines. More ❯
to understand. Your work will help clients unlock actionable insights to improve transport and sustainability outcomes. What You’ll Be Doing Building high-performance backend services in Python (Flask, FastAPI) Creating responsive, accessible, and intuitive dashboards using modern frameworks (MERN stack) Deploying, scaling, and maintaining applications using Docker and cloud platforms (AWS preferred) Ensuring seamless performance, even under heavy data More ❯
london (city of london), south east england, united kingdom
Eden Smith Group
to understand. Your work will help clients unlock actionable insights to improve transport and sustainability outcomes. What You’ll Be Doing Building high-performance backend services in Python (Flask, FastAPI) Creating responsive, accessible, and intuitive dashboards using modern frameworks (MERN stack) Deploying, scaling, and maintaining applications using Docker and cloud platforms (AWS preferred) Ensuring seamless performance, even under heavy data More ❯
You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain More ❯
