51 to 69 of 69 Azure Machine Learning Jobs in the UK

About the role We're looking for a forward-thinking DevOps Engineer to play a key role in evolving and enhancing our Azure-based data and application platforms. Joining … collaborative, innovative data platform team, you’ll help shape how we build, deploy, and optimise modern cloud-based services that support analytics, machine learning, and application delivery across the organisation. This is a fantastic opportunity for someone who loves automation, thrives in a fast-paced environment ...

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/ ...

Overview We are seeking a highly experienced Director of Azure Cloud Services to lead the global strategy, architecture, and operational delivery of our Azure environments. This is a senior leadership role driving innovation, cloud transformation, and next‐generation AI-enabled services across Capita … first organisation. Key Responsibilities Cloud Strategy & Innovation Define & deliver the global Azure cloud strategy aligned to business priorities Champion AI, machine learning & modern cloud technology adoption Evaluate emerging technologies to evolve cloud capabilities Architecture & Design Architect enterprise Azure solutions across ...

recruiter directly. About the Role Lead AI Engineer We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes … teams to execute complex requirements Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible. Collaborating with Product ...

documentation of the data integration patterns, data flows, data standards, data architecture. Provide direction on adoption of modern cloud technologies (i.e., Fabric, Snowflake, Azure) and adopt industry best practices. Play key role in selecting enterprise data tools. Keen eye to deliver project deliverables that are concerned with …/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic ...

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 ...

experience (PostgreSQL preferred) NoSQLExposure to vector databases (Qdrant, Milvus, pg vector) Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup bac kground Why Join Build the data foundations of a category-defining AI company Work directly ...

development. You will be part of a small, agile team dedicated to building innovative solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. This role is perfect for someone who thrives on understanding how things work, is not afraid … role: Key Delivery Responsibilities: Design, develop, and deploy 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. Build and refine LLM-powered features, agentic ...

global priorities. Build and scale an AI team and Centre of Excellence , mentoring and growing talent. Lead the design, development, and deployment of machine learning models into production. Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption. Enable innovation through sandbox environments, tooling … ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance ...

while helping shape the next generation of analytics and AI offerings. This is an opportunity to sit at the intersection of Data Science, Machine Learning, analytics, and consulting. You'll have significant ownership from day one, working on both client-facing engagements and internal innovation projects. … base + up to £13,000 annual bonus • Working model: Hybrid (2–3 days per week in Victoria, London) • Tech stack: Python, SQL, Azure/cloud technologies, ML tooling • Sponsorship: Exceptional candidates only Interested? Please apply below. ...

smarter, and more impactful outcomes. The Role We are seeking a Senior Technical Architect with deep expertise in Microsoft Dynamics 365, Power Platform, Azure, and enterprise architecture. The ideal candidate will have a strong background in solution design, AI integration, and technical leadership, with a proven track … record of delivering complex projects and mentoring teams. Essential Expertise 10+ years’ experience delivering Microsoft Dynamics 365 solutions (Finance, Supply Chain, Power Platform, Azure) Enterprise and technical architecture (TOGAF, ADM) Solution design, integration, and data migration AI offerings, frameworks, and approach Project management (Prince2 Agile, MSP) Technical ...

responding to tenders (RFPs/tenders). Experience in independently conducting product demonstrations and technical workshops. Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models. Proficiency … preferential rates. Work in a dynamic and innovative environment, at the heart of cutting-edge technologies. Structured career plan with numerous opportunities for learning and knowledge sharing. A progressive company with a culture focused on employee well-being and satisfaction. ...

tools to push the boundaries of what’s possible today, with the scepticism to avoid overhyping what they can do. You're actively learning and experimenting with AI tools, pushing the boundary of what's possible today, with the healthy scepticism that keeps you from overhyping what they ...

customer data. Contribute to Delivery & Engineering Excellence: Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community. We are looking for experience in the following... Experience in a client‐facing … Architect). Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate). Experience contributing to proof‐of‐concepts or MVPs, demonstrating rapid learning and experimentation. Experience supporting production AI/ML solutions, ideally within retail or CPG environments. What we'll give you... A thriving career with ...

environment. To thrive in this role, you'll bring: Strong software development and operational knowledge Experience supporting scalable cloud-based services, ideally in Azure Effective communication and teamwork skills, enabling smooth collaboration across multiple teams What we're looking for You will need to demonstrate your track … engineering practice. Here is a snapshot of the technologies that we use Azure Cloud (AppServices, Function Apps, DataFactory, Batch, EntraID, AzureML, etc.) Azure DevOps (Pipelines, Bicep templates, CLI, PowerShell, Artefacts) Python/C# Azure Databricks Git, YAML PowerBI ESRI ArcGIS ...

. 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 … tables, Power Pivot. 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 ...

pipelines and deploying AI applications in production environments. Understanding of foundational models, neural networks and their applications. In addition, cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g. Kubeflow), and agentic frameworks (e.g. LangChain, AutoGen). Responsibilities Partner with product, engineering, data science, and business teams … Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. Ability … communicate clearly with non-technical stakeholders and explain model outputs and impact. Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML. What They Offer Salary up too £48,000. Hybrid working with ...

large and complex datasets • Develop residual and pricing models to test new signals • Work on geospatial/footprint modelling problems • Deploy models using Azure ML and internal infrastructure • Experiment with new data sources to improve pricing models • Mentor a graduate data scientist Key Details • Salary … exceptional candidates) • Bonus: ~20% + £5k car allowance • Working model: Hybrid (1 day per week in office – London) • Tech stack: Python, SQL, Azure ML, GraphDB • Visa sponsorship: Available Interested? Please apply below. ...