11 of 11 Contract Azure Machine Learning Jobs in the UK

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. ...

ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Knowledge of API design, data virtualization, and streaming technologies Familiarity with ETL/ELT tools (Matillion, Alteryx, Qlik) Advanced skills in Power BI and AzureML Understanding of Machine Learning, Generative AI, and Agentic AI concepts Excellent problem-solving and communication skills Preferred Qualifications Experience in cloud ...

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 ...

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 ...

define the future of AI Security in the financial sector? We are representing a global technology powerhouse tasked with securing the GenAI and Machine Learning roadmap for a Tier 1 Investment Bank . This is a rare opportunity for a Security SME to move beyond traditional … deployments are resilient, governed, and secure from emerging threats. Key Responsibilities: AI Governance & Guardrails: Drive the implementation of AI security platforms (e.g., Azure AI Security, AWS AI Guardrails, or Google Vertex AI Security ). Threat Modelling & Pentesting: Conduct specialized assessments of AI/ML pipelines, model APIs ...

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 ...

services such as Vertex, BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage/or at least one major cloud provider, GCP, AWS, Azure Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments Nice to have/big advantage Experience with ML tooling such … MLflow (tracking/registry), Vertex AI/SageMaker/Azure ML, or similar platforms Experience building and maintaining feature stores (e.g., Feast, Vertex Feature Store) Experience with data/model validation tools (e.g., Great Expectations, TensorFlow Data Validation, Evidently) Knowledge of model monitoring concepts: drift, data quality ...

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 ...