22 of 22 Remote/Hybrid Azure Machine Learning Jobs in the UK

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 ...

Machine Learning Engineer (CS) Department: Customer Success Employment Type: Permanent - Full Time Location: London Reporting To: Mark Dale Description The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team – a technical group of Data Engineers … ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi‐source datasets from local authorities. ...

Cleared Machine Learning Engineer - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Machine Learning Engineer … support the delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists ...

Data/Machine Learning Ops Engineer page is loaded## Data/Machine Learning Ops Engineerlocations: GBR - RFW - ERSKINE: UK113 - Newcastle UK (UK113)time type: Full timeposted on: Posted 2 Days Agojob requisition id: 51559568**Job Description:**## Data/Machine Learning Ops Engineer**Location:** Erskine, Newcastle, Farnborough or London (Hybrid – 2/3 days per week in the office) **Candidates must be eligible for clearance.**### ### DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation ...

+ benefits Do you want to lead a world-class data science function at a high-growth organisation where AI, machine learning and advanced analytics sit at the heart of commercial strategy? We're looking for a Head of Data Science who's passionate about building … data science solutions into operational systems. Translate complex technical outputs into clear, compelling narratives for board-level and executive stakeholders. Champion AI and machine learning innovation, staying ahead of industry best practice and emerging technologies. Promote ethical data use, governance and compliance across all analytics initiatives. ...

include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development of a new Data Science platform … will bring a practical, business-led approach to Data Science. Key requirements include: Strong commercial experience using Python for Data Science and machine learning Solid SQL skills and confidence working with large, complex datasets End-to-end Data Science experience, including taking models into production Experience ...

services and solutions. DXC Technology is recognized among the best corporate citizens globally. About the Role We’re seeking a passionate and skilled Machine Learning Engineer to join our growing team. You’ll play a key role in designing, developing, and deploying scalable ML solutions across … work with cutting‐edge technologies and contribute to impactful projects in a collaborative, innovation‐driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize ...

ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts to varied audiences Qualifications Bachelor's degree … Master's or PhD preferred) in Computer Science, AI, Data Science, Statistics, Engineering or a related technical field Advanced certifications in AI, machine learning, cloud computing or data engineering highly advantageous Professional accounting qualification desirable but not required Nice to Have Experience with Microsoft Graph ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimization, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power … comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead architectural design, capacity planning, and performance optimization efforts. Facilitate advanced analytics and machine learning initiatives utilising Fabric and Azure ML. Implement governance, security, and DevOps best practices. Mentor engineers and contribute ...

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 ...

technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … Computer Science, Mathematics, Engineering or a related field. Proven experience in a data science or statistical role. Expertise in advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such ...

decisions. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments. Strong programming skills in Python, with hands‐on experience in PySpark and SQL. Deep understanding of ML lifecycle management … Join Us? Work on impactful AI projects with real‐world applications. Be part of a collaborative and forward‐thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. Benefits Competitive compensation. Pension scheme. DXC Select – Our comprehensive benefits package (includes private ...

lead the AI strategy and implementation across their business in Manchester. This role involves driving AI initiatives using Azure, machine learning, and ensuring solutions add measurable business value. The ideal candidate will have a strong background in AI and leadership, with experience ...

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 #J-18808-Ljbffr ...

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 ...

Studio, conversational analytics, AI-assisted insight Comfort with ambiguity, and a bias for commercial impact over technical perfection Microsoft ecosystem fluency (Power Platform, Azure AI) and ML use cases — forecasting, pipeline-to-flow modelling, opportunity scoring — will set you apart. The firm offers hybrid working, strong benefits ...

analytics solutions Proven experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions ...

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 ...

highly client-facing background • Ability to build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading ...

commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. Ability … communicate clearly with non-technical stakeholders and explain model outputs and impact. Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML. What They Offer Salary up too £48,000. Hybrid working with ...