1 to 25 of 30 Azure Machine Learning Jobs in the UK

Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact. The Company They are a data-driven … partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance ...

implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs and microservices. Oversee the integration of Machine Learning, Generative AI and agentic systems into enterprise environments, ensuring seamless functionality, performance and responsible operation. Provide technical assurance across programmes, reviewing … providing assurance and constructive challenge on the designs produced by other architects and delivery teams. Who you areExperienceProven experience (8+ years) in AI, machine learning or data solution design, including significant hands-on experience delivering modern generative AI solutions. Deep, applied experience leading generative ...

pivotal role in delivering innovative AI solutions that create real business impact. This is an exciting opportunity for someone who enjoys combining machine learning, data engineering and modern AI technologies to solve complex challenges. From predictive models to Generative AI solutions, you'll help design … build intelligent capabilities that support colleagues, customers and business growth. What you'll be doing Designing, developing and deploying machine learning models and AI solutions Building predictive, recommendation and optimisation capabilities Developing Generative AI solutions, including RAG architectures and agent-based frameworks Creating and maintaining data ...

smooth day-to-day running of AI delivery operations. The Data Science & AI Delivery Lead is the technical delivery leader for AI, machine learning, and advanced analytics solutions. This role owns technical execution, engineering standards, solution architecture, deployment quality, and production delivery of AI capabilities. This … production-ready code. Technical Strategy & Architecture: Own AI solution architecture and technical design standards. Define engineering approaches for LLM applications, agentic systems, machine learning solutions, and AI platforms. Lead evaluation of emerging AI technologies and determine appropriate adoption. Establish standards for MLOps, AI observability, model lifecycle ...

ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability of enterprise-scale data and machine learning workloads on Azure through proactive monitoring, issue investigation, automation, and continuous improvement. The ideal candidate will also play … solutions, including: Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark jobs, notebooks, clusters)Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure ...

Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security … governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We'll Take Care of You At Teva, better health starts from within, and that includes you. ...

Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security … governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We'll Take Care of You At Teva, better health starts from within, and that includes you. ...

Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security … governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We'll Take Care of You At Teva, better health starts from within, and that includes you. ...

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 ...

design, develop and deploy AI-powered solutions that drive business value and improve operational efficiency. This role will focus on building and optimising machine learning models, generative AI applications, and intelligent automation solutions while working closely with technical and business stakeholders. The successful candidate will combine … with practical experience in AI technologies, helping to shape and deliver the organisation's AI strategy. Key ResponsibilitiesDesign, build, and deploy AI and machine learning solutions in production environments. Develop and optimise Large Language Model (LLM) applications. Create AI-powered copilots, chatbots, knowledge management solutions ...

Subfunction: Technology ConsultingJob Description: 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 … alongside client teams and third-party suppliers, where you influence rather than directly control the work Have a drive for self-improvement and learning, including learning new programming languages Approach solving problems pragmatically Experience mentoring/managing junior engineers Experience using AI or Agentic techniques ...

apply them to solve real world customer problemsAs a AI Senior Engineer (Senior Manager), you will: Lead the design and implementation of Microsoft Azure AI and Generative AI solutions. Develop enterprise solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning and Azure services. Design and implement RAG, vector search, AI agents and LLM-based applications. Integrate AI solutions with enterprise data, applications and APIs. Establish AI engineering, security, governance, monitoring and responsible AI practices. Lead technical teams ...

approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring, scaling, resilience and operational support. LLM evaluation, prompt and agent testing, tracing, observability, responsible … open-source contributions. Experience building developer platforms or AI-enabled SDLC accelerators. Experience delivering AI solutions in regulated environments. Relevant cloud, software engineering, machine learning, security or DevOps certifications. Certified cloud Machine Learning (e.g., AWS Certified Machine Learning ...

Senior MLOps EngineerAre you passionate about building scalable, reliable machine learning platforms that bring AI models into production? Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale? About the team: Join the team that powers Elsevier's research … teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices. Key Responsibilities:· Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)· Maintain ...

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 ...

Evaluating emerging AI technologies and helping shape technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such … Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Development … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data ...

will coordinate delivery across a cutting-edge, multi-supplier enterprise stack spanning Scala/JVM microservices, Microsoft Dynamics 365, Power Platform, Azure integrations, and a sophisticated Lakehouse data and analytics platform built on Azure Databricks, MLOps, and Power BI. Key Responsibilities Multi-ART Leadership … Integration: Drive the delivery of end-to-end data products. Coordinate ETL/ELT ingestion pipelines on Azure Databricks, integrate machine learning lifecycles (MLOps) into sprint cadences, and oversee governed Power BI deployment pipelines. GDS and Public Sector Governance: Ensure all delivery adheres ...

experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data visualization tools and business intelligence (e.g., Power BI). Solid grasp … workflows within databases/warehouses such as Oracle, PostgreSQL, SQL Server etc. Excellent problem-solving and interpersonal skills. Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream ...

Agile ceremonies, including sprint planning, daily stand-ups, demos, retrospectives, and backlog refinement, managing Application Lifecycle Management (ALM) and version control via Azure DevOps. Produce and maintain high-quality technical documentation, including solution designs, system diagrams, test scripts, release notes, and operational runbooks. Collaborate effectively with Platform … e.g., PL-500, PL-200, PL-400, AB-620) or relevant Azure/AI credentials. Exposure to Copilot tools or Machine Learning platforms (e.g., Foundry, Azure ML). Experience integrating with enterprise platforms such as Workday, ServiceNow, or SAP Risk ...

opportunity to own the architecture of an enterprise AI platform spanning Azure and AWS, supporting everything from traditional machine learning to Generative AI, LLMs, and emerging AI technologies. The business is looking for a technically strong architect to define the platform's direction … scalable, production-ready capabilities. Key Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent ...

Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance … velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long-term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code Field readiness: Able to travel up to 30% to embed onsite ...