26 to 50 of 103 Azure Machine Learning Jobs in the UK

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/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 AI systems in production environments. Proficient … clear and accessible manner. Qualifications: 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 or wider Technology roles with More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. … RESTful API design, authentication/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 AI systems in production environments. Proficient … clear and accessible manner. Qualifications: 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 or wider Technology roles with More ❯

AI & Data Consultant - Microsoft Fabric Permanent - Fulltime Homebased - Hybrid working in the UK (No sponsorship can be offered) - Must be SC Cleared or SC Clearable As a Senior Azure AI & Data Consultant you would be designing and delivering next-generation data solutions with Azure Synapse , Azure Databricks , and Microsoft Fabric . … Databricks, Synapse, and Azure ML to build data pipelines and models. Partner with data scientists and business stakeholders to support predictive analytics, machine learning, and AI-driven decision-making . Drive best practices in data governance, performance optimisation, and workflow automation. Champion Microsoft Fabric adoption and innovation across client engagements. … experience with Azure Synapse , Azure Data Factory , Microsoft Fabric and Databricks . Experience delivering AI/ML solutions Strong skills with Microsoft Azure, AI and Data Science. Hands-on with Python, SQL, and related tech. Experience with Generative AI, LLMs, and NLP frameworks. Implementing AI into enterprise systems at scale. A More ❯

reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do. Key Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure Synapse Analytics for analytical and … Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns. Implement and maintain data validation, monitoring, and quality frameworks. Work … the organisation’s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills More ❯

reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do. Key Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure Synapse Analytics for analytical and … Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns. Implement and maintain data validation, monitoring, and quality frameworks. Work … the organisation’s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills More ❯

and Responsibilities Spearhead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Develop and deploy advanced machine learning models using cloud-based platforms. Collaborate with product managers and designers to ensure the feasibility of product extensions and new products based on existing proprietary, quantitative … and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure More ❯

analyses by ensuring high-quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with … data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence. Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency. Implement best practices for data modeling, governance, and security across all platforms. Troubleshoot and enhance existing pipelines to … improve scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream More ❯

analyses by ensuring high-quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with … data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence. Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency. Implement best practices for data modeling, governance, and security across all platforms. Troubleshoot and enhance existing pipelines to … improve scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream More ❯

the ecosystem of analytical tools, frameworks, and environments used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. … Reporting & Advisory: Produce detailed reports summarizing data science maturity, practice gaps, and recommendations for scaling responsibly and effectively. Qualifications • 6–10 years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI … SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business More ❯

the ecosystem of analytical tools, frameworks, and environments used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. … Reporting & Advisory: Produce detailed reports summarizing data science maturity, practice gaps, and recommendations for scaling responsibly and effectively. Qualifications • 6–10 years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI … SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business More ❯

Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams … engineering and contribute to architectural 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 and CI/CD best practices … industry knowledge and technology Why 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 Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

Azure/Databricks Data Engineer x2 - UK Wide (Hybrid Working) £72,000-£80,000 Duties As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure … data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. 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. Monitor and optimize data pipelines and … a Data Engineer or similar role. 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. Excellent problem-solving and analytical skills and strong communication and More ❯

Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or …/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible More ❯

Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or …/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible More ❯

UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across … This is a fantastic opportunity to 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 and deploy models using tools … industry knowledge and technology Why 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 Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty 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, Monitor and optimize data pipelines … designing, developing and implementing Databricks 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 skills and strong communication and … teamwork skills. Passion for data and a thirst for learning and is either already a Databricks champion or working towards it Relevant Architecture certifications from Mircosft and Databricks More ❯

present tailored AI solutions with real-world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based … architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals (Python preferred; others welcome). Key Skills & Experience Ideally 5+ years of professional More ❯

present tailored AI solutions with real-world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based … architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals (Python preferred; others welcome). Key Skills & Experience Ideally 5+ years of professional More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power … a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data … and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power … a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data … and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption More ❯

innovative solutions for critical client needs. Desirable Skills (Not essential – training and support provided) Cloud deployment and management experience (AWS or Azure). Familiarity with Machine Learning frameworks (TensorFlow, Azure ML, or Amazon ML). Containerisation and orchestration using Docker or Kubernetes. Understanding of relational, document, or graph databases. Experience More ❯

months of graduation, we’ll refund 100% of your fees. What You’ll Gain Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) Real Projects: Work on real-world data challenges to showcase More ❯

months of graduation, we’ll refund 100% of your fees. What You’ll Gain Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) Real Projects: Work on real-world data challenges to showcase More ❯

Senior Software Engineer - Building APIs - RESTful API - AI Services - C# .Net - SQL - Azure We are seeking an experienced Senior API Developer with solid experience in designing and implementing API Infrastructure. This is an opportunity to work on cutting-edge AI infrastructure, make a significant impact on how to leverages AI technology at scale. The role suits a … as products and requirements change Make strategic technical decisions about API gateways, authentication, rate limiting, and versioning Development & Integration Build production-grade APIs using C# .NET, SQL, and Azure services Develop event-driven architectures and asynchronous communication patterns where appropriate Ensure APIs are well-documented using OpenAPI/Swagger standards Build and maintain a developer portal for … observability, reliability, and operational excellence Architectural thinking - ability to design systems for scale, security, and evolution Keywords RESTful APIs C# .Net Azure AI LLM ML Machine Learning SaaS Scale Up OAuth 2.0 Service Bus OpenAPI Swagger More ❯

will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 4+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching … Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior More ❯