26 to 50 of 70 Azure Machine Learning Jobs in the UK

copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross-functional delivery teams. Desired but not essential.... Postgraduate study or certifications … machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker ...

Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies and Generative AI, helping major organisations unlock value from their data and solve complex business challenges. You'll collaborate … role in delivering innovative solutions across a diverse project portfolio What You’ll Do: Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power ...

Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a Microsoft AI Engineer/Azure Artificial Intelligence Engineer to join this thriving technology business as they grow their AI Risk Management & Governance team The AI Security Engineer … AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Your role will focus ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … Career Manager to help you develop your career and guide you on your journey through BAE Don’t know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a Microsoft AI Engineer/Azure Artificial Intelligence Engineer to join this thriving technology business as they grow their AI Risk Management & Governance team Role details Title … AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) This is a really interesting ...

build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric … Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse ...

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 ...

these core skills, you should have specialist experience in 2 or more of the following technologies: Azure Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure … Data Lake Storage and other Azure services. Ability 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. ...

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 ...

track 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 AI Implementation Engineer will … 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 ...

Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we’re trying to create the best engineering consultancy … between data science and software engineering, working on cutting-edge projects that leverage Large Language Models (LLMs), foundation models, and classical machine learning techniques. This is a unique opportunity to solve complex business problems, drive innovation, and make an extraordinary impact in a dynamic and collaborative ...

systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze … insights. 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. Azure Data ...

excited by the challenge, please apply. Requirements (Must-Have) 7+ years of professional experience across Data Engineering, Data Science, or Machine Learning roles, with meaningful exposure to both the data and AI/ML sides of that spectrum. Hands-on experience designing and shipping agentic … responsible deployment in production. Experience with Cloud ML platforms - at least one of Vertex AI (GCP), SageMaker (AWS), or Azure Machine Learning. Expertise in Python for data processing, model training, and API development. Solid understanding of classical ML and NLP: ability to identify when ...

business challenges? We're looking for a Senior Consultant – AI Enginee r to join a growing AI & Data practice delivering cutting-edge AI, machine learning and Generative AI solutions for leading financial services organisations. This is an opportunity to work on high-profile transformation programmes, helping … collaborative, high-performing team culture What we're looking for We're keen to speak with AI Engineers, Applied AI Engineers, Machine Learning Engineers and Senior Data Scientists who have experience delivering AI solutions within a consultancy or financial services environment. You'll ideally have experience ...

management, and data security solutions for enterprises, preferably within BFSI environments Experience on at least one of the 3 major cloud platforms – AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models … related frameworks (e.g., LangChain, TensorFlow, etc.) Hands-on knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, and Snowflake GenAI Understanding of BFSI-specific challenges such as regulatory compliance, risk management ...

grade analytics ecosystems. In this role, you will serve as a technical leader, driving architecture decisions and shaping hybrid cloud solutions across AWS, Azure, and physical on-premise datacenters. About … role: Design AI/ML Platforms: Architect scalable end-to-end MLOps and analytics platforms leveraging AWS SageMaker and Azure Machine Learning . Drive Modernisation: Own the strategy and roadmaps for legacy-to-cloud transformations, specifically driving SAS 9.4 to SAS Viya migration ...

grade analytics ecosystems. In this role, you will serve as a technical leader, driving architecture decisions and shaping hybrid cloud solutions across AWS, Azure, and physical on-premise datacenters. About … role: Design AI/ML Platforms: Architect scalable end-to-end MLOps and analytics platforms leveraging AWS SageMaker and Azure Machine Learning . Drive Modernisation: Own the strategy and roadmaps for legacy-to-cloud transformations, specifically driving SAS 9.4 to SAS Viya migration ...

grade analytics ecosystems. In this role, you will serve as a technical leader, driving architecture decisions and shaping hybrid cloud solutions across AWS, Azure, and physical on-premise datacenters. About … role: Design AI/ML Platforms: Architect scalable end-to-end MLOps and analytics platforms leveraging AWS SageMaker and Azure Machine Learning . Drive Modernisation: Own the strategy and roadmaps for legacy-to-cloud transformations, specifically driving SAS 9.4 to SAS Viya migration ...

SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents) Experience translating research ...

roadmap Tungsten Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows Programming … related field, with a focus on enterprise-scale implementations Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation Platform knowledge with strong technical knowledge of the TotalAgility platform or similar ...

data quality checks, and governance practices to ensure reliable and accurate data. Ability 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 … 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 ...

working prototypes that deliver measurable organisational value. Working alongside internal technical teams, you will develop and validate AI-driven solutions using Microsoft and Azure technologies, while ensuring effective knowledge sharing and documentation throughout the engagement. Key Responsibilities Build and deliver AI proof-of-concept solutions within … AI services, including Azure AI Foundry, Azure AI Search and Azure Machine Learning. Proven experience building AI agents and agentic workflows using Microsoft Copilot, Copilot Studio and Azure AI services Proven track record ...

building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering ...