1 to 25 of 193 Permanent Flask Jobs in the UK excluding London

and knowledge sharing. Your Qualifications Experience: Professional experience in Python development or related software engineering roles. Python Proficiency: Strong knowledge of Python, including experience with web frameworks like Django, Flask, or FastAPI. Database Management: Solid experience with relational databases like PostgreSQL or MySQL and familiarity with NoSQL databases like Redis. Distributed Systems: A basic understanding of distributed systems and microservices More ❯

in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimisation, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. More ❯

are cross-functional by design, and everyone is a natural team player who can improve best practises Proficiency with Python and extensive experience with frameworks such as FastAPI, Django, Flask or Supabase Knowledge of relational databases such as Postgres Expertise in SQL and familiarity with ORM frameworks such as SQLAlchemy Proven commercial experience building and maintain features with Javascript, Typescript More ❯

Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment. Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems. Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very More ❯

Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment. Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems. Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very More ❯

Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment. Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems. Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very More ❯

enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the More ❯

enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the More ❯

enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the More ❯

enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the More ❯

12th of November at 12:30pm. Follow the application link for booking instructions HMLR's Core Tech Stack Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server More ❯

12th of November at 12:30pm. Follow the application link for booking instructions HMLR's Core Tech Stack Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server More ❯

12th of November at 12:30pm. Follow the application link for booking instructions. HMLR's Core Tech Stack Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server More ❯

12th of November at 12:30pm. Follow the application link for booking instructions HMLR's Core Tech Stack Languages: Java and Python (with some legacy Delphi) Frameworks: Spring Boot, Flask, Django Cloud & Hosting: AWS and OpenShift (container-based environments) Containers & DevOps: Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub/GitLab) Databases: PostgreSQL (primary), with some Oracle and SQL Server More ❯

with Docker (development, testing, deployment) Familiarity with REST APIs and version control (Git) Able to work independently and take full ownership of features Nice to Have: Experience with FastAPI, Flask, or Django Knowledge of asyncio or asynchronous programming Familiarity with CI/CD and cloud environments (AWS/GCP) Working Model: Hybrid role – regular attendance required at Cambridge office More ❯

with Docker (development, testing, deployment) Familiarity with REST APIs and version control (Git) Able to work independently and take full ownership of features Nice to Have: Experience with FastAPI, Flask, or Django Knowledge of asyncio or asynchronous programming Familiarity with CI/CD and cloud environments (AWS/GCP) Working Model: Hybrid role - regular attendance required at Cambridge office More ❯

with Docker (development, testing, deployment) Familiarity with REST APIs and version control (Git) Able to work independently and take full ownership of features Nice to Have: Experience with FastAPI, Flask, or Django Knowledge of asyncio or asynchronous programming Familiarity with CI/CD and cloud environments (AWS/GCP) Working Model: Hybrid role – regular attendance required at Cambridge office More ❯

and collaborating closely with product and design teams to deliver elegant, high-impact solutions. What you'll be doing: Developing high-quality backend services in Python (FastAPI, Django or Flask). Building and maintaining front-end components in TypeScript (React or Next.js). Designing RESTful and GraphQL APIs. Writing clean, testable code with CI/CD pipelines. Working in an More ❯

Strong academic foundation in Computer Science, Engineering, or related discipline. 3+ years of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication More ❯

Strong academic foundation in Computer Science, Engineering, or related discipline. 3+ years of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication More ❯

Strong academic foundation in Computer Science, Engineering, or related discipline. 3+ years of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication More ❯

Strong academic foundation in Computer Science, Engineering, or related discipline. 3+ years of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication More ❯

that make AI genuinely usable outside of the lab. What you'll be doing: Designing and building robust backend systems in Python using frameworks such as FastAPI, Django, or Flask Developing RESTful APIs and microservices that integrate seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working More ❯

that make AI genuinely usable outside of the lab. What you’ll be doing: Designing and building robust backend systems in Python using frameworks such as FastAPI, Django, or Flask Developing RESTful APIs and microservices that integrate seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working More ❯

that make AI genuinely usable outside of the lab. What you’ll be doing: Designing and building robust backend systems in Python using frameworks such as FastAPI, Django, or Flask Developing RESTful APIs and microservices that integrate seamlessly with machine learning models and data pipelines Implementing data processing and automation workflows, connecting real-world systems to intelligent decision layers Working More ❯