451 to 475 of 1,335 Remote/Hybrid SQL Jobs

with Svelte, web components, or equivalent component model. Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake. Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant is a data-driven, technology-fueled insurance platform that empowers ...

with Svelte, web components, or equivalent component model. Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake. Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant is a data-driven, technology-fueled insurance platform that empowers ...

with Svelte, web components, or equivalent component model. Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake. Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant is a data-driven, technology-fueled insurance platform that empowers ...

Microsoft Azure Fundamentals certification (or working towards). Experience with enterprise tools such as Citrix, SCCM/Endpoint Manager, Hyper-V, Sophos, Azure, MS SQL, Zscaler, Rubrik/DPM, UniFi, Tenable etc. Experience working in a 2nd/3rd line technical role. A full UK driving licence, access ...

Experience needed: Essential: Strong experience with Node.js and TypeScript Proven background in microservices architecture Solid understanding of GraphQL and RESTful API design Experience with SQL and NoSQL databases Familiarity with CI/CD, automated testing, and modern development workflows Desirable: Experience with Azure or other cloud platforms Knowledge of Infrastructure ...

Cloud. Candidates will ideally have: Hands-on experience with GCP services such as Cloud Functions, Cloud Run, GKE, Compute Engine, VPCs, Cloud Spanner, Cloud SQL, and BigQuery Strong knowledge of microservices, event-driven architectures, and API design Experience with CI/CD pipelines, infrastructure as code (Terraform), and automated testing ...

risk, mortgages, or related sectors Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role) Strong technical toolkit: SQL, Python, and Excel proficiency Skilled communicator - confident presenting to both technical and non-technical audiences Experience working with or alongside banks, lenders, or credit decisioning ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...

scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/ ...