10 of 10 Flask Jobs in Surrey

Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J-18808-Ljbffr More ❯

Docker/Kubernetes).we\\\'d also encourage you to apply if you possess:Experience with Spark/Databricks.Experience deploying ML models via APIs (e.g., Flask, Keras).Startup experience or familiarity with geospatial and financial data.The Interview Process (subject to change):You’ll start with an introductory call with one of More ❯

Kubernetes). we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with More ❯

Kubernetes). we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with More ❯

with the UK National Curriculum, ensuring child-safe content and advanced safeguarding features. Key Responsibilities: Develop and maintain scalable backend services using Django and Flask frameworks. Design and implement RESTful APIs to support web and mobile applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure More ❯

Provide mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Continuous integration and daily deployments. This is a fully remote opportunity, but requires candidates to be based More ❯

Provide mentorship and guidance to junior engineers. Required Skills The backend is primarily built in Python and runs on AWS, incorporating technologies such as: Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform Continuous integration and daily deployments This is a fully remote opportunity, but requires candidates to be based More ❯

Apache Spark, or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial data would be a great bonus! If this role interests you and you would like to learn more, please apply More ❯

tooling including TDD, BDD Up to date knowledge of Python coding, testing, debugging Experience working with large sets of data Experience with FastAPI or Flask Experience with BigQuery This is a contract role outside IR35 , so you must be UK based and have a company registered in the UK. If More ❯

tooling including TDD, BDD Up to date knowledge of Python coding, testing, debugging Experience working with large sets of data Experience with FastAPI or Flask Experience with BigQuery This is a contract role outside IR35 , so you must be UK based and have a company registered in the UK. If More ❯