1 to 25 of 34 Azure Machine Learning Jobs in the UK excluding London

and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to … crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication … of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch More ❯

Clearance Junior to Lead levels 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 and enhanced DV Clearance for … to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely … Agile teams to deliver robust 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/CD tools. To be Considered: Please More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a … new Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top … law firm who have a long-stream of projects in the pipeline alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law More ❯

insightful analytics, and drive intelligent decision-making across the business. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable, measurable solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit … learn, TensorFlow, PyStats). A solid understanding of machine learning techniques and real-world … performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and Delta Parquet formats. Strong data More ❯

initial contract - London/Hybrid Role Purpose We are seeking a skilled Data Specialist to join our transformation programme, focusing on oneAdvanced. This role will leverage data science, machine learning, and advanced analytics to drive insights, automation, and optimisation across Finance, Supply Chain, HR, and Operations functions within oneAdvanced. You will be instrumental in building predictive … and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial … and HR data. • Support the development of a data-driven culture by mentoring analysts and promoting advanced analytics adoption. Essential Skills & Experience • Proven experience as a Data Specialist, Machine Learning Engineer, or Advanced Data Analyst, preferably in an enterprise oneAdvanced environment. • Strong expertise in Python/R, SQL, XML, Azure ML, and Power More ❯

Developer to join a high-profile project within a UK government organisation. Your primary mission will be to design, build, and integrate innovative AI solutions leveraging the Microsoft Azure AI stack, with a specific focus on Microsoft Copilot technologies. You will be instrumental in developing proof of concepts and production ready applications that enhance public service delivery … meet stringent security, data protection, and accessibility requirements. Essential Skills & Experience Proven AI Development Experience: Demonstrable commercial experience in developing and deploying AI solutions, specifically within the Microsoft Azure AI ecosystem . Microsoft Copilot/Azure OpenAI: Hands on, practical experience with Microsoft Copilot (e.g., Copilot for M365, building custom Copilots) or Azure … Cognitive Services (Vision, Speech, Language), Azure AI Search (formerly Cognitive Search), Azure Document Intelligence , and Azure Machine Learning . Data & API Integration: Experience integrating AI solutions with databases, APIs, and data pipelines. Agile & Version Control: Experience working in Agile delivery environments and proficiency with 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 ❯

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 ❯

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 ❯

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 ❯

you learn them) Experience with Machine Learning frameworks (e.g. Amazon or Azure ML, TensorFlow). Cloud deployment and management (AWS, Microsoft Azure). Containerisation using Docker or Kubernetes. Familiarity with relational, document, or graph databases . Software configuration and deployment using Ansible or similar tools. Why Join Competitive salary of More ❯

Senior Data Engineer – Azure | Power BI | ADF | Synapse £60,000–£70,000 + excellent benefits Birmingham or London (1–2 days per month on-site) Leading & Growing Financial Services Organisation Are you an experienced Senior Data Engineer looking for a role where you can influence architecture, own enterprise data solutions, and shape the future of Azure … leading and growing financial services company is expanding its data engineering capability and seeking a Senior Data Engineer to take a key role in designing, delivering, and optimising Azure-based data solutions. This position is ideal for someone who wants real impact, technical ownership, and the chance to drive best practice in Power BI, Azure Data Factory, Synapse, and Microsoft Fabric. Why This Role Stands Out You will be the technical lead for enterprise Azure data engineering. Power BI, semantic modelling, and reporting strategy form a core, high-visibility part of this role. You will shape best practice and mentor engineers in a supportive, growing team. Work with a More ❯

products using Microsoft Azure ML Studio, Python, and Power BI. You will be involved in business conversations to understand requirements, analyse datasets, estimate and productionise machine learning models, and communicate insights to the business using dashboards and storytelling. Key Responsibilities To support the team deliverables, that utilise your expertise to ensure successful outcomes … across team members and collaborating teams * Understand strategic business initiatives and analytical questions to answer. * Design, develop, test, and deploy data science workflows using Microsoft Azure ML Studio with a Python data science stack. * Ensure high-quality delivery of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. * Monitor model performance … pandas, numpy, etc) * Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes * Proven hands-on experience in Microsoft Azure ML Studio * Experience using business intelligence tools, preferably Power BI * Experience applying Generative AI and prompting techniques * Strong understanding of data governance, model observability, and compliance frameworks * Proven More ❯

Qualifications: • 6+ 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 More ❯

following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on optimizing inference performance and cost (e.g., model compression, quantization, API optimization). More ❯

and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

/Pre-Sales Architect/SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with Microsoft Purview and RBAC governance frameworks. Strong problem … solving skills and a structured, analytical mindset. A background in Facilities Management or Property would be desirable. Exposure to ML lifecycle and deployment, ideally with Azure ML or similar platforms. What’s in It for You: Work in a growing data team with a meaningful impact on national estates. Hybrid flexibility with a Leicester base. Join a More ❯

configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with Microsoft Purview and RBAC governance frameworks. Strong problem … solving skills and a structured, analytical mindset. A background in Facilities Management or Property would be desirable. Exposure to ML lifecycle and deployment, ideally with Azure ML or similar platforms. What’s in It for You: Work in a growing data team with a meaningful impact on national estates. Hybrid flexibility with a Leicester base. Join a More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯