1 to 25 of 32 Azure Machine Learning Jobs in the UK excluding London

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully … automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance … public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques ...

seeking a highly skilled and motivated Python Developer with experience in Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based … services using cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

tech stack, and a track record of delivering scalable software solutions across multiple sectors. THE BENEFITS * Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment … commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments TO BE CONSIDERED: Please either apply through this advert or email ...

delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Day-to-Day of the Role: Support all aspects of the software development lifecycle, applying DevOps principles. Lead on developing, implementing … Azure container services. Experience managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred). Experience supporting the build and deployment of, or coding in the following: Python .NET Core/C# NextJS/Node Frontend ...

customer engagements. The architect will be responsible for modernising legacy data platforms into cloud-native, governed, and AI-ready data estates on Microsoft Azure, enabling advanced analytics, real-time insights, and Generative AI use cases. The role combines practice leadership, deep technical expertise, pre-sales ownership … architects, data engineers, and analytics engineers across EMEA Support career growth and capability maturity within the Data & AI practice 2. Collaboration and Continuous Learning: Foster a culture of innovation, continuous learning and technical excellence within the team. Maintain alignment with Microsofts evolvingData, Fabric, and AI roadmap ...

Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role … multiple sources to ensure quality and accuracy. Apply statistical and analytical techniques to uncover insights and trends. Build and deploy predictive models using machine learning methods. Visualise data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. ...

record of actually implementing/delivering AI Automations . The role focuses on leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision making. The successful candidate will work closely … systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with ...

summary The Data Scientist leads the design and delivery of advanced analytical, statistical and machine learning models that support improved patient outcomes, proactive decision-making and population health management. Acting as a specialist within MPFT's modernised Data Platforms & Engineering function, the postholder strengthens the Trust … help improve life for our local communities. We have around 9,000 staff who provide physical and mental healthcare, support for people with learning disabilities, and adult social care across Staffordshire, Stoke-on-Trent, Shropshire, and Telford & Wrekin. We also run regional and national services, including help ...

SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents) Experience translating research ...

Senior Data Scientist, Alternative Pricing Leicester You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected. The Company They are a well-established UK general insurance provider with … Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling. Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure. Practical experience with tree based methods such ...

development programmes. Skills and Professional Experience Essential Experience in data science and an understanding of mathematical and statistical concepts relevant to AI and machine learning. Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM … transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous ...

LLMOps/MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring Design scalable cloud-native AI solutions in Azure, AWS or GCP Ensure governance, Responsible AI, security, compliance … functional requirements (NFRs) Engage senior stakeholders and shape AI roadmaps from discovery through delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure ...

will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic … enabling the enterprise with an AI-powered core and agile digital at scale to deliver unprecedented performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys is proud to be an equal ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities: Design and deliver scalable, secure end-to-end Microsoft … Lakehouse, Warehouses and Power BI) Designing and managing enterprise-grade workloads and semantic models to enable robust analytics and reporting, utilising Fabric and Azure ML Planning and sizing Fabric initiatives, including capacity needs, effort estimates, infrastructure requirements, team resourcing, and delivery timelines. Extensive knowledge in data modelling ...

continue our multi-year transformation, this role will be pivotal in establishing a trusted, well-governed, cloud-native data environment built on Microsoft Azure, Microsoft Fabric and Microsoft Purview. You will ensure our data is accurate, secure, high-quality, and used responsibly across all business functions. What … from the organisation's data assets. Partner with senior leaders to embed data into decision-making, customer experience, risk management and operational resilience. Azure, Fabric & Purview Ownership Act as the enterprise owner for our Azure and Fabric data platforms and Microsoft Purview governance environment. ...

data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries you can imagine. Brilliant customers including some ...

requirement specifications Establish best practices and reusable design patterns Your Profile Essential Skills/Knowledge/Experience Data Science & ML Supervised and unsupervised learning Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks … Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/GCP analytics and ML services MLflow, Azure ML, SageMaker, Vertex AI Version control (Git) Domain & Soft Skills Strong analytical ...

functional requirement specifications Establish best practices and reusable design patterns Your ProfileEssential Skills/Knowledge/ExperienceData Science & ML Supervised and unsupervised learning Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark … Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/GCP analytics and ML services MLflow, Azure ML, SageMaker, Vertex AI Version control (Git) Domain & Soft Skills Strong analytical ...

workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot. Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging … database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

ML architecture, including model development, deployment, monitoring, and lifecycle management (MLOps). Experience designing scalable, secure solutions within cloud and hybrid environments (e.g. Azure, AWS, or equivalent). Solid understanding of data architecture, including data pipelines, feature engineering, data governance, and model training strategies. Experience integrating … with UK MoD, Defence Digital, or government programmes. Familiarity with secure-by-design and classified environments. Knowledge of simulation, training systems, or digital learning environments. Relevant certifications (e.g. Azure/AWS Architect, TOGAF, AI/ML specialisations). Experience in cloud platforms and container orchestration ...