25 of 25 FastAPI Jobs in Manchester

need to hold an active SC (Security Check) Clearance or be eligible for such level of clearance. Technical Expertise Backend Development : Experience in building microservices using either Python with FastAPI , or TypeScript with Express or equivalent Frontend Development : Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite . LLM experience : Practical experience with Large Language More ❯

data for machine learning and analytics. Work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services. Ensure APIs are secure, well-documented, and perform at scale. Write and maintain comprehensive tests for your code. Use PyTest … is a plus. Must have 8 years’ experience working as a Software Engineer on large software applications Proficient in many of the following technologies – Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit … data for machine learning and analytics. Work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services. Ensure APIs are secure, well-documented, and perform at scale. Write and maintain comprehensive tests for your code. Use PyTest More ❯

data for machine learning and analytics. Work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services. Ensure APIs are secure, well-documented, and perform at scale. Write and maintain comprehensive tests for your code. Use PyTest … is a plus. Must have 8 years’ experience working as a Software Engineer on large software applications Proficient in many of the following technologies – Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit More ❯

Retail & Energy sectors. Budget: £55k + full benefits + fully remote Primary requirements: Must be eligible for SC Clearance Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite LLM experience: Practical experience with Large Language Models More ❯

Retail & Energy sectors. Budget: £55k + full benefits + fully remote Primary requirements: Must be eligible for SC Clearance Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. LLM experience: Practical experience with Large Language Models More ❯

Retail & Energy sectors. Budget: £55k + full benefits + fully remote Primary requirements: Must be eligible for SC Clearance Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. LLM experience: Practical experience with Large Language Models More ❯

great match to come and join us: AWS: developing and deploying cloud native solutions using Terraform or similar IaC tools (ESSENTIAL) Server-side development using Golang, Node.js or Python FastAPI Relational database technologies, such as PostgreSQL, including experience with query optimisation and schema design Non-relational database technologies such as DynamoDB or MongoDB Familiarity with containerisation technologies (Docker, Kubernetes etc More ❯

to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May be a Good Fit if: 3+ years of work experience as an AI/ML engineer Experience developing production More ❯

Social network you want to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our More ❯

our Loan Processing team. Join a small, ambitious team working closely with Java and Data Science teams to build and support infrastructure for Credit Risk Management, using technologies like FastAPI, Pandera, Pandas, and Pydantic. The role involves collaboration, architecture development, code review, and supporting data science infrastructure. Remote work is possible with occasional office visits; based anywhere in the UK More ❯

or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/ More ❯

or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/ More ❯

or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/ More ❯

or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/ More ❯

or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/ More ❯

AI solutions’ performance and reliability Translate complex data science and ML concepts for technical and non-technical audiences, fostering alignment across distributed teams Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May be a Good Fit if: 6+ years of professional experience as an AI/ML engineer, with a strong More ❯

everyone is expected to pull together to design new features and figure out bugs. Deliver cloud native and containerised applications using technologies including AWS Lambda, Spring Boot, NodeJS, Python FastAPI, Oracle, PostgreSQL and MongoDB. Build solutions as part of a DevSecOps and Agile ecosystem supported by tooling including Atlassian, Jenkins, GitLab, OWASP and AWS componentry. Ensure your solution works in More ❯

TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development More ❯

a small but growing team based in Central Manchester three days a week with flexibility to work from home the other two days. About you: You have strong Python, FastAPI, and AWS backend development skills combined with React, Next.js, and TypeScript. You have full software development lifecycle experience and a good knowledge of modern software engineering best practices. You have More ❯

across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine More ❯

across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine More ❯

hands-on experience in Python, ML, and NLP/LLMs Familiarity with open-source LLMs (e.g., LLaMA, Mistral, Qwen) and RAG pipelines Experience building APIs and interactive tools with FastAPI, Streamlit, or Gradio Solid understanding of AI infrastructure, including GPUs and Docker Comfortable working with unstructured data sources like PDFs, emails, and OCR Proficient in Git, SQL, and handling a … hands-on experience in Python, ML, and NLP/LLMs Familiarity with open-source LLMs (e.g., LLaMA, Mistral, Qwen) and RAG pipelines Experience building APIs and interactive tools with FastAPI, Streamlit, or Gradio Solid understanding of AI infrastructure, including GPUs and Docker Comfortable working with unstructured data sources like PDFs, emails, and OCR Proficient in Git, SQL, and handling a More ❯

to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May be a Good Fit if: 3+ years of work experience as an AI/ML engineer Strong adherence to More ❯

Job Requirements Developing and deploying cloud native solutions using Terraform or similar Infrastructure as Code (IaC) tools is essential. The ideal candidate should have experience in server-side development using GO, Node.js, or Python FastAPI. Additionally, proficiency in relational database More ❯

Job Requirements Developing and deploying cloud native solutions using Terraform or similar Infrastructure as Code (IaC) tools is essential. The ideal candidate should have experience in server-side development using GO, Node.js, or Python FastAPI. Additionally, proficiency in relational database More ❯