9 of 9 Contract Flask Jobs in the UK

cloud platforms (AWS SageMaker, Google Vertex AI, Azure ML). Knowledge of graph databases and network analysis techniques. Experience with real-time model inference and API development (e.g., FastAPI, Flask). Personal Attributes Strategic Thinker: Ability to see the "big picture" and align data science projects with business objectives. Exceptional Communicator: Can articulate complex technical concepts to non-technical stakeholders More ❯

GraphQL preferred). Familiarity with Python , Java , or similar languages used in model deployment. Experience with ML frameworks (eg, TensorFlow, PyTorch, Scikit-learn) and model serving tools (eg, FastAPI, Flask, TorchServe, TensorFlow Serving). Understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Strong communication and collaboration skills with cross-functional teams. Ability to translate AI More ❯

Full Stack Development using Javascript, Python or Java. A minimum of 4 years experience in Front End Development (React, Angular) or back end development using Node, Springboot, Django/Flask etc. A minimum of 4 years experience in Database Design/Programming, ie PostgreSQL, MySQL). Experience in REST API Design and Development. Experience with TDD (Test Driven Development). More ❯

Full Stack Development using Javascript, Python or Java. A minimum of 4 years experience in Front End Development (React, Angular) or back end development using Node, Springboot, Django/Flask etc. A minimum of 4 years experience in Database Design/Programming, ie PostgreSQL, MySQL). Experience in REST API Design and Development. Experience with TDD (Test Driven Development). More ❯

Azure or GCP or AWS) Preferably Azure exposure and prior experience using Azure services or RHEL openshift FastAPI Any implementation using FastAPI framework and how different it is from Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes What More ❯

ECS, Sagemaker) CI/CD pipelines (GitLab, Jenkins) Python, PySpark & Big Data ecosystems AI/ML lifecycle, deployment & monitoring MLOps tooling (MLflow, Airflow, Docker, Kubernetes) Front-end exposure (HTML, Flask, Streamlit) RESTful APIs & backend integration If this ML Engineer role is of interest, please apply now for immediate consideration. More ❯

practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with More ❯

you must be an accomplished developer with a passion for technology and ability to lead a team. You will hold proven experience of architecting solutions using Python (FastAPI/FlasK) and will lead the technical designs for APIs, data pipelines, cloud infrastructure and backend orchestration. You will also have experience with AWS, while familiarity with MongoDB would be advantageous to More ❯

you must be an accomplished developer with a passion for technology and desire to mentor a team. You will hold proven experience of architecting solutions using Python (FastAPI/FlasK) and will lead the technical designs for APIs, data pipelines, cloud infrastructure and backend orchestration. You will also have experience with AWS, while familiarity with MongoDB would be advantageous to More ❯