1 to 25 of 43 Flask Jobs in the UK

HTML5, CSS3, ES6/TypeScript, and responsive design principles Solid experience with React (or similar modern frontend frameworks) and component-driven UI architecture Backend development expertise in Python (FastAPI, Flask), .NET Core, or Comfortable designing and consuming RESTful APIs Familiarity with both relational (PostgreSQL, SQL Server) and NoSQL databases Experience with Git and version control workflows Strong foundation in object 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 ❯

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 ❯

oriented architecture. Champion the use of AI and automation to enhance productivity across the team. What experience do I need: Strong background building and scaling Python-based systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation More ❯

rules, managing records, and integrating Appian with external systems via REST APIs, web services, and connected systems. API Development & Integration - Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯

leadership skills, including the ability to drive development projects, and mentor junior developers. Leading the design + development of complex applications using Core Python, and web frameworks (-eg- Django, Flask, FastAPI). SQL Server database experience, including developing/optimizing SQL Server databases, data analysis, and efficient data storage/retrieval. Familiarity with AWS Cloud Services, and Infrastructure as Code More ❯

workflows Shape technical strategy and contribute to long-term system improvements Drive code quality, observability, and resiliency across services Tech Stack Frontend : React, JavaScript/TypeScript Backend : Python (FastAPI, Flask, or Django), ideally with geospatial data processing Cloud : AWS (Lambda, ECS, RDS, S3, API Gateway, etc.) DevOps : Docker, CI/CD pipelines, Git Orchestration : Airflow or similar tools Eligo Recruitment More ❯

Work with media processing technologies (FFMPEG, audio mixing, streaming pipelines). Engineer VoIP, DECT, and SIP-based communication software, including real-time call handling. Build and maintain REST APIs (Flask, FastAPI, Django) and integration layers. Contribute to highly available microservices deployed via Docker Compose and/or AWS . Work with MQTT, ZMQ, WebSockets, and other protocol-driven communication modules. More ❯

practices. Excellent problem-solving skills and ability to translate business challenges into AI solutions. Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker) Strong communication and collaboration skills. Preferred Qualifications: Experience with real-time AI applications, recommendation systems, or personalization engines. Knowledge of AI ethics More ❯

Airflow, Dagster) Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift) Data transformation tools (e.g. dbt) and data quality frameworks (e.g. Great Expectations) Backend Python frameworks (e.g. Django, FastAPI, Flask) for API development Modern data processing libraries (e.g. Polars, DuckDB) Infrastructure-as-Code (e.g. Terraform, Pulumi) and containerization (e.g. Docker) Open source contributions, or conference talks Ad-tech/mobile More ❯

users needs Take technical ownership of areas of product Required: 8-9+ years of experience writing Backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI or similar Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (Ideally AWS) Good understanding More ❯

into sprint planning. Required Skills & Qualifications 5+ years of experience in software development, with strong expertise in Python. Proficient in building RESTful APIs and microservices using frameworks such as Flask, Django, or FastAPI. Solid understanding of object-oriented programming (OOP). Good working knowledge of relational and/or non-relational databases. Familiarity with microservices architectures and secure communication protocols More ❯

engineers, product managers, and designers to deliver quickly. Contribute to evolving architecture, tooling, and CI/CD practices. What experience do I need: Strong background in Python development (FastAPI, Flask, or Django). Good knowledge of microservices, APIs, and cloud-based infrastructure. Experience with SQL and NoSQL databases, Git, and CI/CD workflows. Solid engineering fundamentals - data structures, OOP More ❯

LLMs). Must-Have Qualifications Experience: 5+ years in software development, including experience managing live production systems at scale . Python Expertise: Demonstrable expertise in Python backend development (FastAPI, Flask, or Django). Containerization: Hands-on experience with Docker and container-based workflows. Cloud Proficiency: Proven ability to deploy to a major cloud provider (GCP highly preferred) and diagnose and More ❯

Actively engage in troubleshooting and incident response to address production issues, continually learning from these experiences to improve future resilience. Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular, React and SQL databases. Optimize application performance, troubleshoot and resolve complex technical issues. Stay current with industry trends and emerging technologies, advocating for their application when they More ❯

building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow More ❯