5 of 5 Permanent Azure Machine Learning Jobs in the Thames Valley

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop … with a passionate team on impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. … in Python, C#, and other relevant programming languages. Experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with Microsoft Azure AI services. Knowledge of MLOps best practices. Experience with Azure data and analytics services such as Data Factory, Data Lake More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering … Healthcare and Pension Scheme Opportunities for career development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will … ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your … with business objectives and operational excellence. Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units.Machine Learning & AI Implementation Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability … Monetisation - Proven experience in developing data-driven monetisation strategies while advocating for open data transparency to drive industry collaboration.Significant experience in data science, machine learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact.Essential Technical Skills & Qualifications Advanced Analytics & ML More ❯

of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your … the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership … Proven experience in developing data-driven monetisation strategies while advocating for open data transparency to drive industry collaboration. Significant experience in data science, machine learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics More ❯

secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency in SQL, Python, and at least … the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯