51 to 75 of 182 FastAPI Jobs in the City of London

engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is More ❯

engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is More ❯

production-grade code shipping. AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned More ❯

production-grade code shipping. AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned More ❯

reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You’ll help push More ❯

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 ❯

Azure, Databricks, Azure ML, Vertex AI, Azure AI Services, Azure DevOps. Strong Python and LLM libraries experience: langchain, LangGraph, semantic kernel, promptflow, Autogen. Software engineering skills, including API development, FastAPI, Asyncio, and frontend integration. Experience with Gen AI model deployment, monitoring, CI/CD pipelines (Weights & Biases, GitHub). Strong understanding of AI security, compliance, and ethical best practices. Desirable More ❯

Azure, Databricks, Azure ML, Vertex AI, Azure AI Services, Azure DevOps. Strong Python and LLM libraries experience: langchain, LangGraph, semantic kernel, promptflow, Autogen. Software engineering skills, including API development, FastAPI, Asyncio, and frontend integration. Experience with Gen AI model deployment, monitoring, CI/CD pipelines (Weights & Biases, GitHub). Strong understanding of AI security, compliance, and ethical best practices. Desirable More ❯

tools, frameworks, and processes we use • Taking part in code reviews and sharing ideas with the team • Continuously improving how we work in an Agile environment Tech stack Python | FastAPI | Django | AWS | Kubernetes | Terraform | PostgreSQL | OpenSearch | GitHub What we’re looking for • Strong experience building backend systems, ideally with Python • Good understanding of databases, data structures and SOLID principles • A More ❯

technical discussions. Continuously improve processes and advocate for quality through Agile practices. Ensure clean, testable, and well-documented code. Our Tech Stack You’ll be working primarily with: Python (FastAPI, Django) AWS (Lambda, EC2, S3, etc.) PostgreSQL , Opensearch Kubernetes , Helm , Terraform GitHub for version control We’re pragmatic about tools and open to exploring new technologies that help us build More ❯

technical discussions. Continuously improve processes and advocate for quality through Agile practices. Ensure clean, testable, and well-documented code. Our Tech Stack You’ll be working primarily with: Python (FastAPI, Django) AWS (Lambda, EC2, S3, etc.) PostgreSQL , Opensearch Kubernetes , Helm , Terraform GitHub for version control We’re pragmatic about tools and open to exploring new technologies that help us build More ❯

curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams What we More ❯

curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams What we More ❯

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 ❯

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 ❯

at least 2 years of industry experience to join the London based Engineering team. You'll ideally have experience using some of the following stack: Backend: Python, Flask/FastAPI Frontend: React with TypeScript Infra: Terraform, GCP/AWS Ideally you'll have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have More ❯

quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification More ❯

and Agile processes Strong collaborative approach, working effectively with both technical peers and business teams The ability to communicate technical concepts clearly across the team Tech Stack includes: Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, GitHub What the Backend Developer - Python role offers: £70,000 base salary 10% performance-based bonus 28 days annual leave (plus public holidays) + birthday More ❯

quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification More ❯

at least 2 years of industry experience to join the London based Engineering team. You'll ideally have experience using some of the following stack: Backend: Python, Flask/FastAPI Frontend: React with TypeScript Infra: Terraform, GCP/AWS Ideally you'll have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have More ❯

and Agile processes Strong collaborative approach, working effectively with both technical peers and business teams The ability to communicate technical concepts clearly across the team Tech Stack includes: Python, FastAPI, AWS, PostgreSQL, Django, Kubernetes, Terraform, GitHub What the Backend Developer - Python role offers: 70,000 base salary 10% performance-based bonus 28 days annual leave (plus public holidays) + birthday More ❯

technical discussions. Continuously improve processes and advocate for quality through Agile practices. Ensure clean, testable, and well-documented code. Our Tech Stack You'll be working primarily with: Python (FastAPI, Django) AWS (Lambda, EC2, S3, etc.) PostgreSQL , Opensearch Kubernetes , Helm , Terraform GitHub for version control We're pragmatic about tools and open to exploring new technologies that help us build More ❯

/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data engineering, MLOps More ❯

Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and More ❯

Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and More ❯