5 of 5 Azure Machine Learning Jobs in the West Midlands

energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT … department. This is a hybrid role that offers flexible working options and will require occasional visits to Warwick or London. As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix … production bugs, monitor operations, and provision the necessary infrastructure in Azure. Key Accountabilities Lead Machine Learning projects end-to-end. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand More ❯

to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … graduate qualification in relevant subject or has equivalent professional experience In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems Previous experience in delivery of complex … Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data … Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data … Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯