26 to 50 of 91 Azure Machine Learning Jobs in the UK

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 … 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/ ...

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 … 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/ ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London 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 … 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/ ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London 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 … 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/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester 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 … 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/ ...

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 … 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/ ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London 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 … 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/ ...

Clearance required SFIA Level: 4-5 Role Overview We are looking for two Data Scientists with strong experience in data science and machine learning, particularly involving text-based data and NLP-related problems. This role is suited to someone operating at SFIA Level … Ability to communicate complex analytical concepts clearly. Active SC Clearance (must be in place before start date). Desirable Skills Experience with Microsoft Azure and Azure-based data or ML services (eg Azure ML, Databricks, Synapse). Familiarity with MLOps, cloud ...

years of relevant industry experience, or a relevant PhD combined with 4-5 years of industry experience. Significant experience applying advanced statistical techniques, machine learning, and AI principles to solve complex business problems. Strong programming skills in Python, with an emphasis on writing clean, efficient … maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive expertise ...

enterprise cloud solutions. You'll be responsible for developing new features, resolving defects and contributing to high-quality software delivery within a modern Azure environment. Key Responsibilities - Develop clean, maintainable code aligned to project requirements. - Deliver features from user stories using Azure DevOps. - Investigate …/CD pipelines Desirable - Microsoft Entra ID - Azure API Management - Azure Log Analytics - Azure Machine Learning Studio - Knowledge of RBAC, monitoring, auditing and enterprise security. Experience - Proven commercial experience developing cloud-based applications using Node.js, TypeScript ...

phases or proof‐of‐concept work. Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search). Ensure robust MLOps practices are followed, including model … deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search. Experience managing or leading technical delivery teams, with a track record of fostering ...

heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description We are hiring a Lead Data Scientist to drive the technical delivery of our most … scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine ...

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 ...

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 ...

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 ...

practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/… 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 lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. ...

Great Place to Work in the US, Australia, India, Lithuania, France, Germany and the UK. The Role You'll join a team using machine learning to make sense of an enormous, constantly growing volume of reviews, questions and user-generated content, from spotting low-quality … real production feedback Collaborate with product and engineering teams to translate ML capability into shipped features Essential: 5 years building and deploying machine learning models in production environments Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow Practical experience with NLP techniques ...

into production products ABOUT THE COMPANY Our client is a technology-driven business that has made a serious commitment to embedding AI and machine learning into its core products. They are not running a research function in isolation from the business. They are building applied … integrate language model capabilities into the product in ways that are robust, scalable, and fit for commercial use. KEY RESPONSIBILITIES Design and build machine learning models that solve real product and business problems Develop and deploy LLM-powered features including retrieval-augmented generation, agentic workflows ...

data integration and relational platforms* Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS).* AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … NFRs) such as scalability, maintainability, performance, latency, and security.**AI Strategy & Adoption*** AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products.* AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying … Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this ...

Experience running technical design workshops with senior client stakeholders and multi‐vendor delivery teams. Certifications NVIDIA 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 one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical Skills (Beneficial, Not Required) Depth in the specialist area above is mandatory. Experience ...

easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment Demonstrated ability to lead ...

knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable throughout … MLOps, Platform Engineering, or Infrastructure Engineering role supporting ML or data‐intensive systems. Strong programming skills and production experience in Python. Expertise in Azure‐native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Clear evidence of practical experience across the following: Deploying, scaling, and troubleshooting ...

/HybridJob Type: FTEWe are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry. This role combines hands-on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting multiple … with Azure AI Search (vector and hybrid search), Azure AI Document Intelligence, and Azure Machine Learning.Ability to wire these services together into coherent, production-ready architectures not just run individual demos.Understanding of Azure security and identity ...

Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines andMLOpstooling. The roleis responsible forestablishingAI engineering standards,governanceand best practices across … fast-paced technology environment. Strongexpertisein machine learning,MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, modelmonitoringand Responsible AI frameworks. Excellent analytical, problem-solving ...