16 of 16 Permanent Azure Machine Learning Jobs in the UK

tech stack, and a track record of delivering scalable software solutions across multiple sectors. THE BENEFITS * Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment … commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments TO BE CONSIDERED: Please either apply through this advert or email ...

role is ideal for someone with solid Python skills, hands on exposure to AI or Agentic AI projects, and a strong grounding in machine learning fundamentals. You'll work closely with internal teams and external clients, translating technical insights into clear, actionable outcomes. Key Responsibilities * Build … train, and evaluate machine learning models to support a range of analytical and AI driven initiatives. * Contribute to the development of Agentic AI solutions, including workflow automation, reasoning systems, or LLM based tools. * Write clean, efficient Python code for data processing, modelling, and experimentation. * Extract, manipulate ...

Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role … multiple sources to ensure quality and accuracy. Apply statistical and analytical techniques to uncover insights and trends. Build and deploy predictive models using machine learning methods. Visualise data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. ...

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 ...

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 ...

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 ...

will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic … enabling the enterprise with an AI-powered core and agile digital at scale to deliver unprecedented performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys is proud to be an equal ...

LLMOps/MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring Design scalable cloud-native AI solutions in Azure, AWS or GCP Ensure governance, Responsible AI, security, compliance … functional requirements (NFRs) Engage senior stakeholders and shape AI roadmaps from discovery through delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure ...

advanced analytics to become a truly intelligence-led regulator. Solutions Architect Responsibilities Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies. Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms. Maintain architectural … Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security. Solutions Architect Requirements Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI). Expertise in modern data engineering approaches such ...

other engineers, and set the technical direction for AI across large, high-impact systems. Key Responsibilities: Architect, design, and deliver scalable AI and machine learning solutions end-to-end. Remain hands-on in building complex AI components and solving model or system challenges. Lead, mentor … scikit-learn. Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel. Solid understanding of ML concepts (supervised/unsupervised learning, transformers, CNNs/RNNs, model evaluation). Experience with prompt engineering, RAG pipelines, and model fine-tuning. The judgement to identify where AI adds value ...

APIs, microservices, and serverless GenAI workflows for scalable, secure deployment. ML/LLM Engineering & LLMOps Work across AI/ML platforms such as Azure ML, AWS SageMaker, Vertex AI, Databricks, Modal, and Fly.io. Deploy and manage vector databases and embedding stores, including Pinecone, Weaviate, Milvus, FAISS, ChromaDB ...

Azure AI Engineer £450/day outside IR35 London-based - twice a week on-site 6 month initial contract Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement … ML applications. Will require working cross-functionally to conceptualise, design, test and deploy AI projects. Azure AI/ML Engineer, key responsibilities: Build, develop and deploy AI applications using Python Design and Develop AI services Setup and develop data ingestion pipelines and components Develop search related components ...

Cloud Infrastructure Engineer– Azure & Data Platforms Are you ready to shape the future of cloud infrastructure? We’re looking for a Cloud Infrastructure Engineer with 2–3 years of experience to design and manage a secure, scalable, and modern cloud environment. This role is ideal for someone … passionate about Azure architecture, data platforms, and automation —not data analysis. You’ll work closely with technical teams to enable advanced research and data-driven innovation. Key Responsibilities: Design and implement Azure-first cloud infrastructure (networking, identity, storage, Kubernetes). Support data lakes ...

Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post-acquisition and delivering … Project management experience. Qualifications Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel … details Experience required: Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel ...