1 to 25 of 33 Flask Jobs in the Thames Valley

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 ❯

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 ❯

scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A More ❯

within a microservices architecture Solving complex problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning 🧰 Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security More ❯

excellence : Promote engineering best practices across the team and inspire your peers to improve their skills and capabilities. Required Skills: Proven experience designing and building REST APIs (ideally with Flask, FastAPI, or similar frameworks). Expertise in designing architectures that meet scalability, reliability, and security goals. Strong problem-solving skills, particularly in product development. Solid understanding of backend best practices More ❯

the team. Contribute to technical roadmap: Collaborate with Product, Design, and Data teams to align on priorities and ensure value is delivered incrementally. Core Tech Stack Languages: Python (FastAPI, Flask, or Django) Cloud: AWS (Lambda, ECS/Fargate, S3, DynamoDB, CloudWatch, API Gateway) Data & Messaging: PostgreSQL, Redis, Kafka or SQS CI/CD & Infrastructure: Docker, Terraform, GitHub Actions, CloudFormation Monitoring More ❯

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 offer More ❯

to succeed Minimum of 3+ years of experience with Python and major cloud providers (AWS, Azure, or GCP). Proven experience in building Rest APIs with frameworks such as Flask/FastAPI. Strong Experience in software development best practices: CI, Testing, Deployment. Proficiency in the Linux ecosystem. Experience with databases such as Postgres and Redis. Strong interest in finance and More ❯

You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI/Flask) and React. Experience with cloud platforms (GCP/AWS/Azure) and Elasticsearch. Familiarity with CI/CD and infrastructure-as-code tools like Docker, GitHub Actions, or Terraform. Strong More ❯

You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI/Flask) and React. Experience with cloud platforms (GCP/AWS/Azure) and Elasticsearch. Familiarity with CI/CD and infrastructure-as-code tools like Docker, GitHub Actions, or Terraform. Strong More ❯

a key role in designing, building, and maintaining high-quality software that directly impacts our users. Tech Stack You’ll Work With: Back End: Python (FastAPI/Django/Flask — depending on your stack) Front End: React + TypeScript Other Tools: PostgreSQL, Docker, GitHub, CI/CD pipelines (GitHub Actions, etc.) What You'll Do Build and maintain scalable APIs More ❯

tools for researchers and scientists around the world. What You’ll Do Design, build and maintain data-intensive web applications and APIs Develop scalable systems using Python (Django, FastAPI, Flask) Deploy and manage applications across on-premise and cloud environments Implement CI/CD, automated testing, and containerisation best practices Collaborate closely with R&D, operations, and scientific teams to More ❯

tools for researchers and scientists around the world. What You’ll Do Design, build and maintain data-intensive web applications and APIs Develop scalable systems using Python (Django, FastAPI, Flask) Deploy and manage applications across on-premise and cloud environments Implement CI/CD, automated testing, and containerisation best practices Collaborate closely with R&D, operations, and scientific teams to More ❯

Computer Science, Engineering, Physics, Mathematics, or a related technical field 2+ years of experience building web applications in a production environment Strong experience with Python and API frameworks (FastAPI, Flask, etc.) Proficiency with React and TypeScript Comfort or interest in functional programming principles and clean code architecture A genuine interest in engineering and the physical world Ability to thrive in More ❯

Equity Hybrid (Wokingham-based) Python React AWS Location: Wokingham, UK (Hybrid - 2-3 days office-based) Salary: £70,000 - £80,000; £10k equity package Tech Stack Backend: Python (Flask/FastAPI/Django) Frontend: React, TypeScript Cloud: AWS Are you an experienced Full Stack Engineer who thrives in fast-moving, product-led environments? We're partnered with an innovative AI More ❯

a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting More ❯

Developers with 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 More ❯

Experience Required: Proven experience in enterprise software development and SDLC. Task orientated, able to work to fixed deadlines and SLAs. Previous development experience within Python, ideally with experience in Flask and REST APIs. Proficient with performance tuning, debugging, and secure coding practices. Strong Microsoft Azure Integration Services (e.g. LogicApps, ServiceBus, API Management etc). In-depth understanding of system design More ❯

exposure. Exploring new ways to integrate AI and automation into data workflows, unlocking even more potential from their datasets. Skills & Experience Strong Python experience Experience with a web framework – Flask, FastAPI, Django, etc. Solid understanding of Pandas/NumPy for data manipulation SQL Server experience Experience building or maintaining web scraping tools to collect and structure data from online sources More ❯

long term Strategic IT project, with ongoing contract extensions. Core Technical Skills Programming: Python Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS More ❯

Hands-on experience building applications with large language models, implementing advanced prompting techniques, RAG systems, and agentic workflows Backend Engineering : Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications Data & Storage Systems : Comfortable with More ❯

a leading university. Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools. Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask). No sponsorship available – candidates must have the right to work in the UK. More ❯

and other Full Stack Engineers on high-impact projects Technical Requirements 2–3 years of back-end engineering experience, ideally in a startup environment Strong knowledge of Python and Flask Proficiency with SQL and Postgres Experience with AWS services (migration experience is a plus) Ideal Candidate Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences More ❯

all of which are Python based. Key Skills Strong Object-Oriented Python Programming Understanding of Algo's and quant models. Excellent database knowledge, including SQL and MongoDB API Frameworks (Flask, FastAPI) Prior experience in energy markets This is a hybrid role requiring 3 days in the office. The salary for the role is up to £110,000 + bonus & benefits. More ❯

a real impact in a rapidly growing team, while working on cutting-edge AI technology. What You'll Work On: Design and implement scalable backend systems using Python (FastAPI, Flask, or Django) Integrate AI-generated code into production-ready services Take ownership of projects from idea to production — collaborating across product and AI teams Experiment with LLM- and agentic-coding More ❯