12 of 12 Remote FastAPI Jobs in the North West

and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What You’ll Need 2-4 years experience with Python (FastAPI/Flask) Experience with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with More ❯

and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What You’ll Need 2-4 years experience with Python (FastAPI/Flask) Experience with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with More ❯

and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What You’ll Need 2-4 years experience with Python (FastAPI/Flask) Experience with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with More ❯

and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What You’ll Need 2-4 years experience with Python (FastAPI/Flask) Experience with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with More ❯

and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What You’ll Need 2-4 years experience with Python (FastAPI/Flask) Experience with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with More ❯

should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and private healthcare. If you're More ❯

should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and private healthcare. If you're More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯