22 of 22 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 ...

East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing various machine learning models and AI systems. You will collaborate extensively with scientific and operational teams to ensure the robustness, scalability, and reliability of AI tools. By implementing automation and standardisation throughout the ML lifecycle, your ...

stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation … standards, and guide the organisation’s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines ...

solutions into production environments. You'll also play a key role in mentoring engineers, driving capability development, and evaluating emerging technologies across AI, machine learning, and LLM ecosystems. Alongside this, you'll support workshops, solution design sessions, and technical decision-making while ensuring solutions remain scalable … secure, and aligned to business outcomes. THE BENEFITS Opportunity to work on cutting-edge AI and machine learning projects Exposure to modern AI tooling, cloud platforms, and agentic technologies Leadership role with clear progression opportunities Collaborative environment with strong focus on learning and innovation ...

copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross-functional delivery teams. Desired but not essential.... Postgraduate study or certifications … machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric … Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse ...

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 ...

track 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 AI Implementation Engineer will … 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 ...

systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze … insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data ...

data quality checks, and governance practices to ensure reliable and accurate data. Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design … solutions Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory. Excellent problem-solving and analytical ...

working prototypes that deliver measurable organisational value. Working alongside internal technical teams, you will develop and validate AI-driven solutions using Microsoft and Azure technologies, while ensuring effective knowledge sharing and documentation throughout the engagement. Key Responsibilities Build and deliver AI proof-of-concept solutions within … AI services, including Azure AI Foundry, Azure AI Search and Azure Machine Learning. Proven experience building AI agents and agentic workflows using Microsoft Copilot, Copilot Studio and Azure AI services Proven track record ...

programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and IAC using Terraform would be standout.We are looking for a connection with the Scientific/Applied/ ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor … this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor … this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership ...

business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … concepts including VNets, Entra ID, API Gateways, Private Endpoints, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/ ...

closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range … live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models ...

recruiter directly. About the Role Lead AI Engineer We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes … teams to execute complex requirements Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible. Collaborating with Product ...

Principal Data Architect - Energy, Data Platforms, Snowflake, Azure Fabric £825 per day (Inside IR35) Primarily remote 3 - 6 months My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data … ability to troubleshoot complex data pipelines and platform issues Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian) Exposure to Machine Learning, Generative AI, and Agentic AI Strong stakeholder engagement and collaboration with BI/analytics teams Nice to Have: Experience within ...

development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid … role: Key Delivery Responsibilities: Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic ...

global priorities. Build and scale an AI team and Centre of Excellence , mentoring and growing talent. Lead the design, development, and deployment of machine learning models into production. Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption. Enable innovation through sandbox environments, tooling … ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance ...

environment. To thrive in this role, you'll bring: Strong software development and operational knowledge Experience supporting scalable cloud-based services, ideally in Azure Effective communication and teamwork skills, enabling smooth collaboration across multiple teams What we're looking for You will need to demonstrate your track … engineering practice. Here is a snapshot of the technologies that we use Azure Cloud (AppServices, Function Apps, DataFactory, Batch, EntraID, AzureML, etc.) Azure DevOps (Pipelines, Bicep templates, CLI, PowerShell, Artefacts) Python/C# Azure Databricks Git, YAML PowerBI ESRI ArcGIS ...