1 to 25 of 211 Azure Machine Learning Jobs in the UK

Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning … Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights. We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help … our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Artificial Intelligence and Machine Learning initiatives. This is a hybrid role - three days per week in our London office. If you share our excitement for applying More ❯

work with our AI team to: Utilize a wide array of Azure AI tools, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks, to process structured, semi-structured, and unstructured data. Implement … machine learning models and AI-driven data workflows to improve data processing, data governance, and predictive analytics capabilities. Use Azure AI and machine learning tools to automate data quality assurance, anomaly detection, and pattern recognition for enhanced decision-making. … tools for optimizing data storage and retrieval. Strong programming skills, especially in Java to automate data workflows and microservices development. Familiarity with machine learning, AI-driven automation, LLMs, NLMs, and analytics tools in Azure. Excellent troubleshooting and problem-solving skills to resolve complex data integration More ❯

leadership team to drive innovation and support continued growth. In this role, you will design, develop, and deploy AI-driven solutions using Microsoft Azure, leveraging services such as Azure Machine Learning and Cognitive Services. You will integrate AI models into … cloud-based applications, ensuring scalability and performance. Your responsibilities will include training and fine-tuning machine learning models, automating AI workflows, optimising cloud infrastructure, and ensuring compliance with security and governance standards. The Role: Design, develop, and deploy AI-driven solutions using Microsoft Azure. Leverage Azure Machine Learning and Cognitive Services for AI development. Integrate AI models into cloud-based applications for scalability and performance. Train and fine-tune machine learning models to enhance accuracy and efficiency. Automate AI workflows and optimize cloud infrastructure. Ensure More ❯

leadership team to drive innovation and support continued growth. In this role, you will design, develop, and deploy AI-driven solutions using Microsoft Azure, leveraging services such as Azure Machine Learning and Cognitive Services. You will integrate AI models into … cloud-based applications, ensuring scalability and performance. Your responsibilities will include training and fine-tuning machine learning models, automating AI workflows, optimising cloud infrastructure, and ensuring compliance with security and governance standards. The Role: Design, develop, and deploy AI-driven solutions using Microsoft Azure. Leverage Azure Machine Learning and Cognitive Services for AI development. Integrate AI models into cloud-based applications for scalability and performance. Train and fine-tune machine learning models to enhance accuracy and efficiency. Automate AI workflows and optimize cloud infrastructure. Ensure More ❯

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance … of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and More ❯

Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future … performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management … Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning More ❯

Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future … performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management … Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning More ❯

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 … Digital department. This is a hybrid role based in 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 their data needs and put together data pipelines to ingest More ❯

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 … Digital department. This is a hybrid role based in 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 their data needs and put together data pipelines to ingest More ❯

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 ❯

of the service line cross-skilling Leadership role(s) within internal innovation initiative, including development of prototype or demo solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Provide Thought Leadership within the service by … Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science or AI solutions Hands-on experience … with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction LLM Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib More ❯

Machine Learning and AI Engineering Lead - London Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT … than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of … communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. More ❯

Machine Learning and AI Engineering Lead - London Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT … than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of … communication skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. More ❯

Social network you want to login/join with: Machine Learning and AI Engineering Lead, London Client: Mars IS UK Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 13.04.2025 Expiry Date: 28.05.2025 Job Description: Royal Canin is undergoing … than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain. Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of … communication skills. Working understanding of ML Ops and DevOps frameworks. Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with More ❯

solutions while collaborating with business teams to ensure that AI solutions drive real business value. This role will also involve working with Microsoft Azure AI components, making familiarity with these tools a strong plus. Apply for AI Engineer (Generative AI & LLMs Focus)- Permanent! Thank you for your … with stakeholders to understand needs and deliver impactful AI solutions. Translate technical concepts into business language. Azure Integration : Utilize Microsoft Azure AI services (Azure Machine Learning, Azure OpenAI, Cognitive Services). Willingness to learn … Programming : Proficient in Python; experienced with TensorFlow, PyTorch, or other deep learning libraries. Azure Knowledge : Familiarity with Microsoft Azure AI services and Azure Machine Learning is a strong advantage. Model Development : Skilled in training, fine More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models … and AI solutions, leveraging cutting-edge technologies like Azure Machine Learning, AutoML, and cloud-based AI tools. This role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. Develop and fine-tune models for regression, classification, clustering, and deep learning. Explore and implement state-of-the-art AI approaches such as transformer models, generative AI, and reinforcement learning. Expertise in natural language processing to analyze and More ❯

Essential skills Experience in CI/CD Automations, Containerization, Model Deployment and Model Monitoring Tools, like: Databricks, Docker, Kubernetes, Azure Machine Learning etc. Experience in … Database systems: Data Lake, Delta Lake, SQL Server etc. Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn, PowerBI etc Tableaux. Experience in Microsoft Azure Cloud Environment & its services such as DevOps, Azure ML etc. Experience in Version Control Systems: Azure Repos … discussing technical subjects with non-technical people Accountability: Owns and takes responsibility for the quality and delivery of the assigned tasks Desired skills Machine Learning and Deep Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras etc. Communication: Effectively communicates complex technical concepts to a diverse More ❯

Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools … Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members … their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. The Person: Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of More ❯

Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools … a confident and commercial ML Engineer to lead from the front working with cutting-edge technology and driving company growth. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members … their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. The Person: Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of More ❯

translate them into technical solutions that leverage the latest technologies in data and AI. This role requires a deep understanding of data architecture, machine learning, and AI technologies, as well as strong problem-solving and communication skills. Key Responsibilities: Design and implement data and AI solutions … using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and … of experience in data and AI consulting or a related field. Strong understanding of data architecture, data modeling, and data warehousing. Experience with machine learning frameworks and AI technologies. Proficiency in programming languages such as Python, R, or Java. Excellent problem-solving and analytical skills. Strong More ❯

maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver … Identity Azure Virtual Desktop Cloud-native architecture (containers, serverless, and other services) Hybrid Cloud environments Qualifications: (AZ-104) Microsoft Azure Administrator (AZ-305) Microsoft Certified: Azure Solutions Architect Expert (AZ-500) Microsoft Certified: Azure Security Engineer Associate … Desirable (AZ-700) Microsoft Certified: Azure Network Engineer Associate - Desirable (AZ-140) Microsoft Certified: Azure Virtual Desktop Specialty - Desirable What We Do For You Wellbeing focused - Our people are our greatest assets, and ensuring everyone feels their best self to come to work is More ❯

and storage. Experience with Copilot Studio. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning … contribute to a knowledge-sharing culture. Key Requirements Required Skills Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to … or C#. 3+ years working with production data workloads in Azure. Professional Qualifications Ideally relevant Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology and Consulting Industries IT More ❯

environment. What You'll Do: Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance … applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You … Are: 2+ years of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding More ❯

environment. What You'll Do Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance … applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You … Are 2+ years of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding More ❯