14 of 14 Contract Azure Machine Learning Jobs in the UK

About The Role FDM is looking for a Machine Learning Engineer to work with one of our clients in the Insurance sector. The successful candidate will join a transversal Data team, playing a key role in transforming and modernising the organisation’s machine learning … business to define and implement MLOps best practices, as well as designing, building, and maintaining the infrastructure required for developing and deploying machine learning models. This is initially a 6 month contract with the potential to extend and will be a hybrid role based in Reading. ...

years overall in software/solution architecture with 7+ years in cloud (Azure) and 5+ years in AI/ML or Azure AI solutioning. Proven experience leading production grade solutions using Azure OpenAI, Azure AI Foundry, Azure … experience Experience with vector databases (Cosmos DB with vector search, Redis Enterprise, or Pinecone) and semantic ranking. Knowledge of Azure Machine Learning for training/evaluation pipelines and model registries. Familiarity with Power Platform (AI Builder, Power Automate) for rapid AI-enabled workflows. ...

Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field. 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, GenAI etc. Hands-on experience with fine-tuning/training LLMs and complex Graph RAG solutions (production environment). Technical Skills … Extensive knowledge of cloud services and tools (Azure & Databricks preferred), ), including Azure Machine Learning, Vertex AI, AI Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service Bus, Azure DevOps, Azure CLI, Azure ...

Machine Learning Developer (Document AI & NLP) Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders … solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking … grounding, citation policies) using Azure Search or vector-enabled data stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability. ...

MLOps Engineer - Azure ML, Github Up to £550pd (Inside IR35) London/Hybrid 6 months My client is looking for an MLOps Engineer to build and maintain scalable, automated AI systems on Azure. You'll develop CI/CD pipelines for AI/ML, manage model deployment … operations across environments. Key Requirements: Proven experience in MLOps with strong focus on Azure Proficient in Azure Machine Learning, Cognitive Services, Speech Services, Azure OpenAI Hands-on with Azure DevOps, Azure ...

rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of the underlying … mathematical foundations of statistics and machine learning. Can build scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically ...

OpenAI, Azure ML, Cognitive Services, and the Microsoft AI stack. Translate business requirements into technical architectures for GenAI and machine learning use cases. Implement prompt engineering, retrieval-augmented generation (RAG), and integration patterns with enterprise systems. Configure and optimise Microsoft Copilot Studio … transfer, and technical support to business teams. Ensure all solutions follow responsible-AI, security, compliance, and governance standards. Profile Hands-on experience with Azure AI services. Strong ability to quickly prototype and test AI/ML solutions. Experience with APIs, vector databases, and integration patterns. Understanding ...

validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure … data scientists to productionise research code and models into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks. Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. Your Profile Essential skills/knowledge/experience ...

time inference, and monitoring . Optimise inference latency for high-volume, near-real-time applications such as transcript and behavioural analysis. NLP & Applied Machine Learning Apply text clustering, N-gram analytics, sentiment modelling, intent classification, and summarisation for insight extraction. Refine conversational intent taxonomies and behavioural … models for more accurate AI assistant interactions. Data Engineering & Cloud Integration Use cloud services including SageMaker, Azure ML Studio, Vertex AI for training, deployment, and monitoring. Manage datasets using GCP Cloud Storage and implement secure, compliant data workflows. AI Governance & Quality Assurance Establish guardrails, safety layers, automated ...

London/Kent preferred Day Rate: £300–£325 per day Key Requirements: Hands-on exposure to Azure AI and Machine Learning Experience with Agentic AI , RAG systems , and GraphRAG At least 10+ years’ experience in .NET Please note: This role cannot offer sponsorship. ...

leading company is hiring a Data Scientist who has experience with Azure, Python, SQL, ML/NLP/GenAI and ML system design. 6-month … rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e click apply for full job details ...

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 … Scripting, Linkedlists, Arrays, and API development. Minimum 5 years in Big Data technologies (e.g., , Hadoop). Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. Minimum 5 years in ML model development, data engineering, and software engineering. Minimum 3 years ...

team members, fostering a strong data culture. Your Profile Essential Skills/Knowledge/Experience Extensive Knowledge Cloud data platforms: Microsoft Fabric, Snowflake, Azure, Databricks Data integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance … Power BI, Azure ML, ML/AI, Generative and Agentic AI Strong Experience End-to-end implementation of cloud data platforms Advanced Snowflake capabilities and cost optimisation Complex data migrations from enterprise source systems Data security, RBAC, access controls, and compliance frameworks (SoX, GDPR) Troubleshooting complex data ...