51 to 75 of 91 Azure Machine Learning Jobs in the UK

resilience patterns are consistently applied across services. People Leadership Lead 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 hiring … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, Sentinel AWS Lambda, ECS, RDS, CloudWatch Strong understanding of SRE principles (SLOs, SLIs, error budgets, incident response). Hands‐on experience with ...

part of something bigger. As an Associate AI Engineer within Kainos' Workday Products division , you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will … roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with ...

Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance … technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

Engineer within the Workday Practice at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday … requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday … solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable qualifications Desirable experiences include: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions … Hands‐on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud‐native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps – CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven ...

limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build … Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven ...

scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge … years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator ...

models, 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, Monitor … implementing Databricks solutionsProven 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 skills ...

programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and Containers would be standout.Crucially we need Engineers who have taken ownership in projects. What you've individually ...

premises systems. The role will contribute to the firm’s modern Microsoft-based data and application technology stack, including Microsoft Fabric, Azure services, APIs and reusable automation frameworks. The work you will be doing The Data Automation Engineer will design, develop and support automated data processes that … governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise ...

business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents – ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … concepts including VNets, Entra ID, API Gateways, Private Endpoints, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/ ...

/Generative AI solutions in a commercial environment Strong knowledge of LLMs, RAG and modern AI architectures Python and cloud platform experience (Azure preferred) Experience integrating AI solutions into enterprise applications Ability … explain complex technical decisions to non-technical stakeholders Strong understanding of AI governance, security and best practice Desirable: Azure OpenAI Machine Learning React, React Native, Appian, Boomi or ServiceNow exposure They are looking for someone who can confidently explain not just what they ...

using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience ...

using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience ...

advanced AI systems and solutions. We’re seeking Senior Engineers with deep technical expertise in AI technologies, particularly in areas such as Azure OpenAI, Cognitive Services, prompt engineering, Retrieval‐Augmented Generation (RAG) architectures, vector stores, and API integrations. You’ll be able to demonstrate substantial experience … DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Skills: Advanced proficiency in Python, and familiarity with AI frameworks such ...

limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business,championing innovation while ensuring our machine learningsolutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutionswhen needed. … . Hands-on experience with GCP Vertex AI(model endpoints, pipelines, embeddings, vector search)or equivalent cloud-nativeAI/ML platforms (e.g. AWS SageMaker, AzureML) andagentorchestration frameworks(e.g.LangChain,LangGraph, ADK). Solid understanding ofMLOps - CI/CD,IaC(Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ...

Ground‐Breaking AI Initiative at IQVIA**IQVIA is building a world‐class team to develop large‐scale AI solutions using cutting‐edge machine learning architectures. Our mission is to integrate data across clinical, real‐world, and biomedical sources to unlock new insights into patient trajectories … biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ## **What We’re Looking For*** **Polymath mindset:** Ability ...

commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … Experience building predictive or customer-focused models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest ...

product What We’re Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with CI/… debugging production systems Nice to Have Security/compliance (SOC2, HIPAA) Exposure to AirFlow and MLFlow for scientific workflows MSC/PHD in Machine Learning Biotech/pharma experience Why Helical Live with top pharma High ownership, small team Work at the intersection of AI, biology ...

interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate, fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging … committee: chairing review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML ...

software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define … Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build ...

architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure ...

architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure ...