15 of 15 Remote/Hybrid Permanent Azure Machine Learning Jobs

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 ...

ROLE: Machine Learning Developer HOURS: Full-time LOCATION: Bristol (hybrid) At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We’re looking for a Machine Learning Developer to join our Insight function within the Data & AI team, helping to design, build and deploy intelligent, data‐driven solutions that improve operational efficiency and support better organisational decision-making. You’ll work on production‐grade machine learning ...

AI to create smarter, more human ways of working. You’ll join a collaborative team that values trust, curiosity, and continuous learning, where your ideas don’t just get heard, they actively shape our direction and the solutions we deliver for our clients. Role Overview This … role is focused on Data & AI solution architecture and engineering, with strong emphasis on Microsoft Fabric, Azure Machine Learning, and AI‐native solution design. You will operate as a client‐facing AI consultant and builder, leading engagements from discovery through to production delivery. ...

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play … sell holidays Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using ...

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 ...

authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying … Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this ...

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, 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 ...

workflows under tight deal timelines Own solution quality from proof‐of‐concept through to live production and operational handover AI & Advanced Analytics Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as: Commercial and operational due diligence Synergy identification … with: Python and modern data/AI engineering stacks Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP) Machine learning and/or Generative AI workflows Ability to operate effectively in highly ambiguous, fast‐moving environments with senior stakeholders Commercial & Advisory ...

team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines CICD, Azure, Terraform, scripting, deploying to Azure, and a wide variety of workloads …/CD orchestration tools. Experience with Infrastructure as Code such as Terraform Experience of deploying workloads to, and consuming cloud platform resources (Microsoft Azure preferred). Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python .Net ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender & Bid Responses Own technical sections of AI RFPs and RFIs Develop … sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ...

APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance … engineering experience (React/TypeScript, Python, FastAPI, or Node.js) Proven experience building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema ...

APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance … engineering experience (React/TypeScript, Python, FastAPI, or Node.js) Proven experience building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions … Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work ...