201 to 222 of 222 Azure Machine Learning Jobs in the UK excluding London

score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we … turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure … DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain More ❯

score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we … turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure … DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain More ❯

to achieving the strategic business objectives. You will have the chance to dive into cutting edge tech including Azure, AI, Machine Learning, and more. As Lead Developer, you will be working across multiple application stacks providing expertise in selecting new technologies, maintaining existing More ❯

and mapping Requirements clarification Documentation Customer communications Skills Must have Data Modelling Automation GIS experience Nice to have Azure storage Machine learning Python More ❯

Clearance/Actively SC Cleared Be part of a growing consulting team with a leading Microsoft Partner. This role is for a Senior Azure Data & AI Consultant, who will deliver high-impact solutions that transform how clients operate using Artificial Intelligence. You’ll play a critical role … to understand business challenges and identify where AI and data-driven solutions can drive value Architect and implement scalable, production-ready solutions using machine learning , large language models , cognitive services , and modern data pipelines Collaborate with multidisciplinary teams across strategy, engineering, and design to build end … that make a real impact across industries Collaborate with some of the best minds in the AI and data space Access to continuous learning, Microsoft certifications, and cutting-edge tools Competitive salary, bonus scheme, and flexible working options A people-first culture that values innovation, growth, and balance More ❯

AI-powered advice on this job and more exclusive features. Are you passionate about designing and architecting cutting-edge data technology solutions in Azure? Do you thrive in driving excellence and innovation? Join our team as a Data Solution Architect and lead our Centre of Excellence service … communicating findings to stakeholders. Education & Training: Educate, train, and build knowledge of enterprise data platforms and solutions with customers and internal teams. Continuous Learning: Stay current with technical and industry developments, including pursuing relevant certifications. Documentation: Document all designs and solutions meticulously. Consultative Approach: Maintain a consultative approach … analytics. Security & Governance: Proven understanding of security and governance principles. Tools: Proficiency in PowerPoint, Tableau, and Power BI. Cloud Services: Strong understanding of Azure or AWS, Infrastructure as Code (IaC), and cloud services (IaaS, SaaS, PaaS). Frameworks: Understanding of Well Architected frameworks, security principles, and Agile More ❯

deliver the next phase of AI for our client. This role combines deep expertise in GenAI with strong hands-on experience in classical machine learning. You will play a key role in building internal AI tools, integrating scalable ML systems, and shaping how AI is used across the … embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical business problems Write high-quality, maintainable code in TypeScript and Python Drive excellence in MLOps practices including … MLOps practices, CI/CD pipelines, and software delivery best practices Experience deploying ML models into production environments using cloud platforms such as Azure or GCP Ability to work in agile teams and communicate effectively with technical and non-technical stakeholders Experience with tools such as Terraform More ❯

deliver the next phase of AI for our client. This role combines deep expertise in GenAI with strong hands-on experience in classical machine learning. You will play a key role in building internal AI tools, integrating scalable ML systems, and shaping how AI is used across the … embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical business problems Write high-quality, maintainable code in TypeScript and Python Drive excellence in MLOps practices including … MLOps practices, CI/CD pipelines, and software delivery best practices Experience deploying ML models into production environments using cloud platforms such as Azure or GCP Ability to work in agile teams and communicate effectively with technical and non-technical stakeholders Bonuses Experience with tools such as More ❯

deliver the next phase of AI for our client. This role combines deep expertise in GenAI with strong hands-on experience in classical machine learning. You will play a key role in building internal AI tools, integrating scalable ML systems, and shaping how AI is used across the … embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical business problems Write high-quality, maintainable code in TypeScript and Python Drive excellence in MLOps practices including … MLOps practices, CI/CD pipelines, and software delivery best practices Experience deploying ML models into production environments using cloud platforms such as Azure or GCP Ability to work in agile teams and communicate effectively with technical and non-technical stakeholders Bonuses Experience with tools such as More ❯

unspent criminal record check (known as Disclosure and Barring Service). Your role We are looking for technical knowledge in areas such as machine learning, GenAI, computer vision, and related fields, combined with solution architecture and software engineering skills. Your role will involve designing and building … in exploring other languages. You have experience deploying ML and AI solutions in production on cloud platforms, working with cross-functional teams. Experience with AzureML or SageMaker is highly valued. You possess strong communication skills and experience presenting to clients and managing stakeholders. What does 'Get The Future You Want … flexible working arrangements. UK employees can request flexible working options. You will be encouraged to explore, innovate, and progress, supported by Capgemini's 'learning for life' mindset, offering numerous training and development opportunities, including external certifications from AWS, Microsoft, Harvard ManageMentor, and cybersecurity qualifications. Why You Should Consider More ❯

history, and unspent criminal record check (Disclosure and Barring Service). Your role We are looking for technical knowledge in areas such as machine learning, GenAI, computer vision, and so on, combined with great solution architecture and software engineering skills, to design and build solutions deployable … and SQL, and interested in exploring other languages. You have experience deploying ML and AI solutions in production on cloud platforms, with familiarity in AzureML or SageMaker highly valued. You possess strong communication skills with proven experience presenting to clients and managing stakeholders. What does ‘Get The Future You Want More ❯

HTTPS, OAuth2, OIDC, SAML, JWT Languages - Python/Node.js/Golang Development – REST API/Microservices Desirable Skills: Multi-Cloud Knowledge/Experience - Azure/AWS. AI/ML – Vertex AI. Engagement with major blue-chip clients/financial organisations Certification GCP Professional Certification – Associate Engineer, Data More ❯

to innovative technology Work with customers and identify opportunities to support their strategy and improve their processes across functions Gain access to endless learning opportunities The Role As an Enterprise Data Architect you will be working closely with the Chief Data Officer (CDO) and drive the architectural vision … requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture, ensuring scalability, security, and cost-effectiveness Data Strategy … strategy, governance, and compliance frameworks Cloud & AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt, and other data processing frameworks for optimal performance Stakeholder Collaboration: Engage More ❯

product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected … horizon. What We'd Like to See Strong technical expertise in data-related areas, including data preparation, model training, and performance evaluation for machine learning/AI. Passion for exploring and evaluating new data management and governance technologies, with the ability to compare approaches to find … Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role Essentials Postgraduate education in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent, or relevant combination More ❯

people who bring real-world tech delivery experience and a passion for doing things better. Required Skills Formal certification in cloud (AWS, GCP, Azure) or AI/ML (e.g. Google ML certs). Experience with agile or scaled agile delivery models. Familiarity with controls-by-design, engineering More ❯

is beneficial but not mandatory; we value real-world tech delivery passion Bonus Points If You Also Bring: Certifications in cloud (AWS, GCP, Azure) or AI/ML (e.g., Google ML certifications) Experience with agile or scaled agile delivery models Knowledge of controls-by-design, engineering governance More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps More ❯

performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps More ❯

Engineer (Agentic AI & LLM Specialist) Location: UK-based, fast-growing technology consultancy specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required (unless preferred) Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available … AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through … Skills Agentic AI & LLMs: Hands-on experience building, deploying, and managing large language models and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI More ❯

would be a significant plus. Exposure to the following technologies and platforms would be extremely beneficial (in the context of holistic Solution Definition): Azure Data and Analytics tooling, Salesforce CRM, ESRI GIS, Energy Exemplar Plexos, DigSilent PowerFactory, Azure ML, Python Applications, Azure PowerApps, AI (Azure AAEs/Microsoft Co-Pilot), Enterprise Systems Integration, Portals and Data Exchange, Microsoft 365 and Project Planning Tools. Qualifications No formal qualifications are required for this role, but due to the nature of the Strategic Energy Planning programme, a candidate with More ❯

engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) A passion for social impact and a More ❯

Able to use Airflow to a high skill level. Enjoys working independently in a small team. Has a good understanding of AWS and Azure architecture. There is also an opportunity to get involved in ML projects, and experience in this area (and relevant platforms such as Sagemaker … or Azure ML) is desirable but not essential for the role. What We Offer Hybrid working - 2 days a week in the office (SP1 3TB). 25 days of holiday per year. Your birthday off (paid). 4 x salary life assurance. Company pension. £500 towards your More ❯