1 to 25 of 102 Azure Machine Learning Jobs in the UK

Position Overview We are looking for a highly skilled Senior AI Software Engineer/AI Model Specialist with deep expertise in artificial intelligence, machine learning, and modern software development. The successful candidate will be responsible for designing, developing, training, testing, and optimizing AI models and intelligent … Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud (advantage) Development Practices ...

spirit, cohesion, and appreciation –and through our talented people, innovative culture, and technical and businessexpertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success.But don ́t take our word for it –have a look at what our employees … aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and Analyse data from various sources and formats using tools such as Microsoft Fabric, Azure ...

Machine Learning Engineer Department: Platform Delivery Employment Type: Permanent - Full Time Location: London Compensation: £50,000 - £70,000/year Description In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core … deployment, embedding ethical and regulatory considerations into every stage of development. Skills, Knowledge & Expertise Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field – or equivalent practical experience. 3+ years of professional experience as an ML Engineer, or related role. ...

building the automation, deployment and operational foundations behind a modern Azure-based data platform. You'll work across data engineering, machine learning and application development, helping establish scalable deployment processes, reusable automation frameworks and modern DevOps practices. A particularly exciting aspect of this … role is the opportunity to contribute to MLOps capabilities, supporting the deployment, monitoring and retraining of machine learning models using Azure Databricks. You'll be joining a growing team where you can influence engineering standards, introduce improvements and help shape how technology ...

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping … create measurable business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate ...

opportunity to help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers … they’re adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration ...

summary Thames Valley Integrated Care Board is looking for a Deep Learning Engineer to apply deep learning and machine learning to direct care applications across our Connected Care ecosystem. Connected Care is Thames Valley's expert-led, integrated healthcare-data ecosystem. Since … health system and data integration platform so that model outputs feed directly back into the information clinicians see. You'll be applying deep learning directly to patient outcomes -- helping clinicians spot disease progression and case-find earlier -- as part of one of the largest Connected Care programmes ...

services where pro-code is required. Use Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning and other Azure AI services to build and integrate AI capabilities. Build, test and evaluate AI and generative … development) Complete British Council induction, mandatory training and role-related learning. Keep technical knowledge current across AI, software engineering and cloud technologies, applying learning to practical delivery. Seek feedback and mentoring, contribute to code reviews and knowledge sharing, and take responsibility for continuous professional development. Requirements ...

Machine Learning Engineer - Client facing - 12 months FTC Department: Project Delivery Employment Type: Permanent - Full Time Location: London Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team. A technical, client‐facing group … Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI This is a 12 months contract with potential to become a perm role afterwards. Key Responsibilities Machine learning and AI engineering Design, train and optimise predictive models ...

Senior Data Scientist – Pricing & Machine Learning****Location:** Leeds, UK (hybrid)**Contract:** Permanent, full-time**Salary:** Competitive**About Protect Group**Protect Group helps businesses improve the customer experience and generate additional revenue through innovative technology. Since 2016, we’ve grown to support more than 400 partners across … fresh thinking and people who take ownership. We move quickly, learn from evidence and work together to solve meaningful problems.**The role**Pricing machine learning sits at the heart of our business. Our pricing engine dynamically sets protection rates across hundreds of partners and millions ...

business requirements, identifying opportunities for AI‐driven automation and intelligence, and building production‐ready solutions that leverage technologies such as large language models, machine learning, and intelligent workflows to drive innovation and business impact. KEY RESPONSIBILITIES Design, develop, and deliver AI-powered solutions and services using … .NET, LLMs, agentic AI, machine learning, and workflow automation. Translate business requirements into scalable, secure, and production‐ready applications that deliver measurable value. Act as the AI subject matter expert, advising on the most effective use of AI, machine learning, automation ...

business requirements, identifying opportunities for AI-driven automation and intelligence, and building production-ready solutions that leverage technologies such as large language models, machine learning, and intelligent workflows to drive innovation and business impact. KEY RESPONSIBILITIES Design, develop, and deliver AI-powered solutions and services using … .NET, LLMs, agentic AI, machine learning, and workflow automation. Translate business requirements into scalable, secure, and production-ready applications that deliver measurable value. Act as the AI subject matter expert, advising on the most effective use of AI, machine learning, automation ...

production, combining architectural leadership with hands‐on expertise. You’ll advise clients on the appropriate use of Generative AI, agentic AI and machine learning while ensuring solutions are secure, supportable and commercially sustainable. Key Responsibilities Own end-to-end AI architectures within the Microsoft Azure ecosystem. Design Generative AI, RAG, agentic and machine-learning solutions using Azure services. Translate business requirements into solution designs, estimates and delivery roadmaps. Define reusable Azure AI patterns, reference architectures and engineering standards. Embed Azure ...

Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure … Azure Data Factory (pipelines, triggers, parameterization, monitoring); Azure Databricks (Spark, notebooks, job orchestration); Azure Machine Learning (pipelines, model deployment, monitoring); Power BI Service (dataset refreshes, access control, report diagnostics). DevOps & Automation – CI/CD using Azure ...

Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team. A technical, client‐facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. This is a 12 months … contract with potential to become a perm role afterwards. Machine learning and AI engineering Design, train and optimise predictive models (gradient boosted trees, temporal and embedding-based models), with reproducible training, evaluation and monitoring pipelines. Productionise models to run reliably at scale in client environments. Build ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk ...

Requirements Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs Experience defining target architectures and roadmaps for modern data … Bicep) for data, analytics and AI services Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery Microsoft Azure architecture certification, with a data or AI specialism beneficial Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent) Experience ...

Requirements Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs Experience defining target architectures and roadmaps for modern data … Bicep) for data, analytics and AI services Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery Microsoft Azure architecture certification, with a data or AI specialism beneficial Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent) Experience ...

Requirements Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs Experience defining target architectures and roadmaps for modern data … Bicep) for data, analytics and AI services Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery Microsoft Azure architecture certification, with a data or AI specialism beneficial Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent) Experience ...

Requirements Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs Experience defining target architectures and roadmaps for modern data … Bicep) for data, analytics and AI services Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery Microsoft Azure architecture certification, with a data or AI specialism beneficial Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent) Experience ...

Seeking an experienced and innovative Data Scientist to join a global consultancy to successfully implement and run machine learning workloads on Azure. The successful candidate will have a deep understanding of the data, its limitations and meaning, including the investigation of data validity. They will … , as well as running data experiments and training predictive models. In addition, the Data Scientist will manage, optimise, and deploy machine learning models into production. Applicants must have hands‐on experience using Azure Machine Learning ...

defence sectors turn complex data into actionable intelligence. This role offers excellent exposure to cutting-edge AI technologies, including Generative AI and machine learning, whilst building foundational skills in a supportive team environment. Core Responsibilities Assist in developing data science solutions, from data exploration to basic … model building. Support the implementation of AI applications under guidance from senior team members. Learn to work with Azure Machine Learning and Azure OpenAI services. Participate in data mapping, cleaning, and feature engineering activities. Contribute to documentation of analytical approaches ...

capability and adoption across the organisation. Hands-On Engineering Get hands-on with code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps … Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience ...

hallucination rates, latency and cost. Integrate AI models into production environments and manage model lifecycle, versioning and observability. Leverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks (LangChain, AutoGen, CrewAI) to build intelligent, data-driven experiences. Champion the use of modern … Azure - including compute, networking, storage and cost management. Experience with Azure Cloud Services, Azure Machine Learning or equivalent cloud platforms (AWS/GCP). Solid understanding of CI/CD pipelines, Docker, Kubernetes and infrastructure-as-code. ...

practice: Our Data & AI Practice helps organisations unlock the value of their data through modern cloud platforms, data engineering, analytics, artificial intelligence, and machine learning solutions. We work with clients across the public and private sectors to design and deliver data platforms that drive innovation, improve … data platform. In this role, you will build robust data ingestion, transformation, and processing pipelines that enable advanced analytics, artificial intelligence, machine learning, and business intelligence capabilities. Working closely with Data Architects, Data Engineers, Data Analysts, and Solution Architects, you will help deliver trusted ...