501 to 525 of 2,339 Azure Jobs in the South East

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour ...

infrastructure as code (IaC) automation. ● Manage CI/CD pipelines and GitHub workflows for seamless deployment. ● Work with cloud platforms like AWS, GCP, and Azure for deployment and scaling. ● Handle S3 object storage for efficient data management. ...

data and support customer insight generation and decision-making. Skills Outstanding Python, FastAPI, asyncio and Postman/Insomnia Strong Git, Docker, Kafka, Kubernetes and Azure/AWS/GCloud Good understanding of Playwright, Selenium/Nodriver, Beautifulsoup Good React, Vite, Javascript, CSS, Tailwinds Good understanding of asynchronous request handling ...

cross-functional teams. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. ...

cross-functional teams. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. ...

with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected. In return for your skills and dedication, you will receive a comprehensive package designed to support your development ...

other automation tools Knowledge of financial services data, risk modelling or regulatory reporting is a plus Familiarity with cloud platforms like AWS or Azure for data analytics is desirable Comfortable working across multiple stakeholders and presenting insights at executive level Strong communication skills and ability to translate complex data ...

other automation tools Knowledge of financial services data, risk modelling or regulatory reporting is a plus Familiarity with cloud platforms like AWS or Azure for data analytics is desirable Comfortable working across multiple stakeholders and presenting insights at executive level Strong communication skills and ability to translate complex data ...

Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This ...

Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This ...

Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This ...

Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This ...

Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This ...

Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This ...