11 of 11 Remote Flask Jobs in the South East

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, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. More ❯

deployment tools like GitHub, JIRA. Excellent problem-solving ability with solid communication and collaboration skills. What Would Make You Stand Out: Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes/EKS-based container orchestration). Knowledge of data science and machine learning concepts and tools. Contributions to open More ❯

environment that values collaboration and customer happiness above all, you'll find yourself at home on our team. Key Responsibilities Develop and maintain high-traffic, distributed applications using Python, Flask, Cloud technologies, relational and NoSQL databases Design and implement RESTful APIs and integrate with third-party services Design, implement and maintain high-availability data pipelines (ETL) Break down complex problems … the ability to convey technical concepts clearly to technical and non-technical stakeholders High focus on quality, operational excellence and customer experience Good knowledge of K8, Docker, AWS and Flask Proactive in identifying risks and implementing effective solutions Comfortable in a fully remote work environment where async collaboration is prioritized Bachelor’s Degree in Programming, Computer Science, or Engineering-related More ❯

code Influence architecture and mentor junior engineers Balance delivery with strategic thinking in a fast-moving environment Ideal Candidate 7+ years of experience in software engineering Strong Python (FastAPI, Flask, or Django preferred) AWS or Azure cloud exposure Frontend awareness (e.g. React) Agile mindset; thrives in lean, delivery-focused teams Passionate about AI and emerging tech Holds a STEM degree More ❯

OUR TECH STACK Our teams build loosely coupled microservices, enabling fast, autonomous development. Our architecture prioritizes scalability, security, and resilience, ensuring seamless financial transactions. We use: Backend: Python, FastAPI, Flask Databases: PostgreSQL Messaging: Kafka, AWS SQS/SNS Infrastructure: Kubernetes (EKS), AWS Frontend: Flutter (Mobile), Angular and React (Web) WHAT YOU'LL GET IN RETURN Our location-specific employee benefits More ❯

will be responsible for enhancing, designing, and deploying ongoing improvements to our bespoke data pipeline and associated API services. Key Requirements 5+ years of Python experience with frameworks like Flask, FastAPI, and Django. Strong command orchestration tools (e.g. Prefect, Airflow), Docker, and AWS infrastructure (CDK, Terraform). Solid understanding of API services, authentication methods (JWT, SSO), and clear, pragmatic communication More ❯

Job Description Director of Engineering - London/Hybrid Tech stack: .NET 8, C#, Python, Django, Flask, Node.JS, Express.JS, React, Azure, AWS, Multithreading, RESTful, Microservices, Web API 2, JavaScript, AI Integration (LLM, RAG, RLHF). Our client has created a global phenomenon, connecting people online to unique travel experiences in more than 60,000 cities and 180 countries. As they approach More ❯

solutions. Write clear, concise, and accessible documentation for the codebase and development processes. Desired Skills and Qualifications: 3+ years of experience building applications using Python. Strong knowledge of the flask framework and building REST APIs Strong communication skills with a focus on translating abstract issues into clear and simple solutions. Experience with database systems - preferably PostgreSQL and Redis. Familiarity with More ❯

convey ideas to diverse stakeholders The ability to pick up and use third party APIs and tools Experience working with Python on the backend with frameworks, such as Django, Flask or FastAPI Desirable: A good understanding of cloud technologies Salary: £80,000 - £105,000 (depending on experience) Benefits ️ 27 days holiday (option to buy and sell holiday) + bank holidays More ❯

systems at a global scale. Our team is at the forefront of innovative AI-powered applications, large-scale infrastructure, and modern backend development using Java, Python, Golang, Spring Boot, Flask, and Kubernetes. We focus on integrating RAG-powered LLMs, implementing advanced vector search (FAISS, Milvus, Pinecone), and building scalable and high-performance AI-driven solutions. You Might Be a Good … expertise in Java or Python Thrive in a results-driven, flexible environment Have experience with backend development for AI-powered systems Enjoy building high-performance APIs using Spring Boot, Flask Want to develop AI-powered applications leveraging RAG frameworks, Vector and Similarity search Have experience with Maven or Gradle for Java project dependency management Understand security best practices (Spring Security … into enterprise-scale systems using internal frameworks and libraries Design and implement vector search solutions using FAISS, Milvus, and Pinecone Build scalable APIs and backend services using Spring Boot, Flask, and FastAPI Optimize data storage and retrieval with PostgreSQL/MongoDB and distributed databases Deploy and manage cloud-native applications using Kubernetes and Docker Implement security best practices with Spring More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting … fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance More ❯