1 to 25 of 103 Azure Machine Learning Jobs in the UK

Lead to join our dynamic Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise in Azure … impact AI capabilities. Responsibilities • Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management: Implement robust MLOps practices for … continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning models in Azure. • Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. • Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. • Collaboration: Work collaboratively with More ❯

Lead to join our dynamic Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise in Azure … impact AI capabilities. Responsibilities • Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management: Implement robust MLOps practices for … continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning models in Azure. • Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. • Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. • Collaboration: Work collaboratively with More ❯

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 ❯

months A consultancy client of ours have secured a project requiring a Databricks focused Artificial Intelligence Engineer. This is an exciting opportunity to work on cutting-edge machine learning projects, building scalable ML pipelines and cloud-based systems that deliver real-world impact. Key Responsibilities: Lead the design, development, and optimisation of scalable machine learning workflows using Azure Databricks Build and deploy robust ML pipelines leveraging Delta Lake, MLflow, notebooks, and Databricks Jobs Apply advanced knowledge of Databricks architecture and performance tuning to support production-grade ML solutions Collaborate with data scientists, data engineers, and analysts to operationalise machine learning models at scale … ML capabilities, advising on architecture, tools, and integrations Mentor peers and junior engineers on ML engineering practices, with a focus on MLOps and Databricks workflows Continuously improve the machine learning platform, tooling, and deployment practices to accelerate delivery Experience and Qualifications Required: Deep hands-on experience with Azure Databricks, particularly in developing and More ❯

Machine Learning Engineer (Energy Sector Focus) Our client is seeking a highly skilled and experienced Machine Learning Engineer to join their data science and AI team. This role is critical for leveraging cutting-edge machine learning and AI techniques to optimise operations, enhance exploration and production efficiency, drive … and demonstrated prior experience working within the energy, oil, and gas, or a related industrial sector . Key Responsibilities Design, develop, and deploy robust, scalable, and production-ready machine learning models and pipelines for various energy-sector applications Collaborate with domain experts (geoscientists, reservoir engineers, operational technologists) to understand complex business problems and translate them into … sparse energy-related datasets. Evaluate and optimize model performance, ensuring high accuracy, reliability, and interpretability in a high-stakes operational environment. Stay current with the latest advancements in machine learning, deep learning, and MLOps to continuously improve AI capabilities. Ensure compliance with data privacy, security, and operational safety standards. Essential Qualifications Bachelor's or More ❯

their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping … Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem … Familiarity with modern AI frameworks and open-source toolkits (Desirable). Role and Responsibilities Design and implement data models and pipelines to support advanced analytics and reporting. Apply machine learning, natural language processing (NLP) and AI models to derive meaningful insights from complex datasets. Work closely with Data Engineers, Software Developers and Analysts to build and More ❯

Private Equity AI and Data projects Azure Fabric integrated ML £140K base + Bonus Must be living within commuting distance to the central London office Exciting new role within Private Equity, joining a new Data & AI software team to work with the Portfolio clients, working on development projects for AI, ML, Data. Role Building agentic workflows with … LangGraph. OpenAI GPT Integration MLOps Expertise utilising Azure Machine Learning Responsible for designing, developing, and implementing data solutions on the Microsoft Azure platform, including data pipelines and architectures Azure services: Expertise in Azure services such as Azure Data Factory, Azure … Data pipelines, Data Lake, Data models Experience Strong Python skills ML frameworks, and hands-on experience with LLM toolchains, OpenAI APIs, embeddings, and vector stores. Experience within Microsoft Azure, Azure AI and MLOps Experience with Azure AI/ML services and MLOps Ideally LLMs, in enterprise environments. AI-enabled products and More ❯

Private Equity AI and Data projects Azure Fabric integrated ML £140K base + Bonus Must be living within commuting distance to the central London office Exciting new role within Private Equity, joining a new Data & AI software team to work with the Portfolio clients, working on development projects for AI, ML, Data. Role Building agentic workflows with … LangGraph. OpenAI GPT Integration MLOps Expertise utilising Azure Machine Learning Responsible for designing, developing, and implementing data solutions on the Microsoft Azure platform, including data pipelines and architectures Azure services: Expertise in Azure services such as Azure Data Factory, Azure … Data pipelines, Data Lake, Data models Experience Strong Python skills ML frameworks, and hands-on experience with LLM toolchains, OpenAI APIs, embeddings, and vector stores. Experience within Microsoft Azure, Azure AI and MLOps Experience with Azure AI/ML services and MLOps Ideally LLMs, in enterprise environments. AI-enabled products and 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 ❯

company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches in foundation models, agentic AI, and multimodal learning to enhance decision-making and automation. Translate complex research into tangible business outcomes, driving measurable value and competitive advantage. About you: Proven track record leading AI or data science … and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable setting vision and writing code when needed. If you’re ready to lead the future of AI in logistics, La Fosse would love to hear from More ❯

company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches in foundation models, agentic AI, and multimodal learning to enhance decision-making and automation. Translate complex research into tangible business outcomes, driving measurable value and competitive advantage. About you: Proven track record leading AI or data science … and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable setting vision and writing code when needed. If you’re ready to lead the future of AI in logistics, La Fosse would love to hear from 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 ❯

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 ❯

Azure AI Engineer Permanent Hybrid - Home based in the UK - (No sponsorship can be offered) Must be SC Cleared or SC Clearable Join a leading tech and innovation partner who focus on delivering intelligent, enterprise-grade solutions. As an Azure AI Engineer , you’ll design and operationalise cutting-edge solutions that combine Azure … Key Responsibilities Design, build, and deploy Azure AI-powered applications using Azure OpenAI, Cognitive Services, AI Search, and Azure Machine Learning . Engineer data pipelines and orchestration with Azure Data Factory, Synapse, Fabric, and SQL , ensuring scalability and governance. Implement Microsoft Purview or equivalent … frameworks for data security, compliance, and lineage tracking . Develop AI-driven integrations and automations across Dynamics 365 , Power Platform , and custom web applications . Use Azure Functions, Logic Apps, and APIs to orchestrate data and AI workflows. Design and deliver retrieval-augmented generation (RAG) and Copilot-style assistants embedded into business and web applications. Embed observability More ❯

are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like … management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a … deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present More ❯

are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like … management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a … deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present More ❯

Role: Azure DevOps Engineer (with AI Exposure) Location: Remoten (EU Renote) Engagement: Contract Industry: Financial Services SmartCo are looking for an experienced Azure DevOps Engineer, to join a financial services client, focusing on cloud operations, automation, and AI transformation. This role will initially focus on managing Azure related tickets & incidents, and … OpenAI). Ensure environment reliability, monitoring, and adherence to cloud governance standards. Skills & Experience Prior experience in financial services or large enterprise environments. Solid knowledge of Microsoft Azure services (App Services, Key Vault, Networking, AKS, etc.). Hands-on experience with Azure DevOps, CI/CD pipelines, and IAC (Terraform, Bicep, ARM). … Exposure to AI/Machine Learning platforms such as Azure ML, AI Foundry, or Databricks. Good scripting and automation skills (PowerShell, Bash, or Python). Proven experience with incident and problem management tools (ServiceNow, JIRA). Excellent analytical, troubleshooting, and communication skills. Please apply for more details, this is an urgent requirement. More ❯

data science or a related field » 2-4 years' experience in the field of data science, Microsoft Cloud or AI » Familiar with Microsoft Cloud and Data Platform (e.g. Azure AI, Copilot Studio, Microsoft Fabric, Power Platform, etc.) » Strong enthusiasm for AI and its applications across industries » Either possess or working towards official "Microsoft Certified" Certification » Well organised … experience and a strong passion for learning. Your responsibilities » Design and deliver internal training on Microsoft AI tools, including Azure AI and Copilot Studio » Create learning materials and onboarding guides for Copilot, Power Apps, and Power Automate » Run internal AI labs and pilot programs to explore use cases and drive adoption » Apply Microsoft Responsible AI … projects » Identify AI opportunities across departments and prototype solutions using Microsoft Fabric and Azure Synapse Analytics » Build and deploy models using Azure Machine Learning and Azure OpenAI Service » Develop Power Apps and Power Automate flows to streamline and improve business processes More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture … to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … sector clients (or internal clients within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture … to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … sector clients (or internal clients within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud More ❯

Experience Required 10+ Years About the Role Need a highly experienced and innovative Senior AI Engineer with deep expertise in Azure AI Services Generative AI and Agentic AI architectures The ideal candidate will have experience with Azure AI Foundry and be well-versed in modern frameworks such as LangChain LangGraph Hugging Face Crew AI … Key Responsibilities Architect and implement scalable AI solutions using Azure AI Services including Azure OpenAI Cognitive Services and Azure Machine Learning Design and develop agentic AI systems leveraging frameworks like LangChain LangGraph Autogen and Semantic Kernel Build and finetune Generative AI models using Azure … Framework Mentor junior engineers and contribute to the AI strategy and roadmap Required Skills Qualifications 8 years of experience in AIML development with at least 3 years in Azure AI ecosystem Strong understanding of Generative AI LLMs and agentic architectures Handson experience with Azure AI Foundry or similar platforms Proficiency in Python and familiarity More ❯

Experience Required 10+ Years About the Role Need a highly experienced and innovative Senior AI Engineer with deep expertise in Azure AI Services Generative AI and Agentic AI architectures The ideal candidate will have experience with Azure AI Foundry and be well-versed in modern frameworks such as LangChain LangGraph Hugging Face Crew AI … Key Responsibilities Architect and implement scalable AI solutions using Azure AI Services including Azure OpenAI Cognitive Services and Azure Machine Learning Design and develop agentic AI systems leveraging frameworks like LangChain LangGraph Autogen and Semantic Kernel Build and finetune Generative AI models using Azure … Framework Mentor junior engineers and contribute to the AI strategy and roadmap Required Skills Qualifications 8 years of experience in AIML development with at least 3 years in Azure AI ecosystem Strong understanding of Generative AI LLMs and agentic architectures Handson experience with Azure AI Foundry or similar platforms Proficiency in Python and familiarity More ❯