251 to 275 of 304 Azure Machine Learning Jobs in the UK

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 ❯

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 ❯

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 ❯

embark on the next phase of their Data and AI journey. The successful candidate will have demonstrable experience building and maintaining a robust machine learning infrastructure, supporting the successful deployment and integration of additional AI solutions. Responsibilities: Identify and implement the best approach and practices to … Work with infrastructure as code technology to deploy, manage and run world class MLOps and data solutions Maintain strong understanding of Databricks and Azure ML Proactively suggest and implement changes to ways of working within and beyond the team to improve platform stability and long term efficiency. … Share knowledge with the wider data community. Skills/Attributes/Experience Profile: Proven experience deploying and managing ML models in production, in Azure Databricks. Tech stack: Databricks, Unity Catalog, Python, Git, MLFlow, Delta tables, Azure DevOps. Hands-on development experience using Python, particularly 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 ❯

and data science in the UK's most critical sectors? We're seeking a talented AI & Data Science professional with strong experience in machine learning, GenAI, data engineering, and solution design. The ideal candidate will have the technical expertise to architect and scale robust solutions across … and timely delivery. Authoring thought leadership and representing the company at key events. What You'll Bring Strong background in ML, GenAI, deep learning, NLP, computer vision, and related fields. Experience across cloud platforms (AWS, Azure, GCP), with DevOps/ML Ops tools (e.g., Terraform More ❯

Subject: Join the AI Revolution - Gen AI Solution Architect - Azure Specialist - London Hybrid Job Title: Generative AI Solution Architect - Azure Location: London Hybrid (SE1) - 1-2 days onsite Salary: £70,000 - £85,000 (Negotiable for exceptional candidates) Benefits: Flexible working, Well-being coaching & Professional … presence, pre-sales experience, and the ability to deliver scalable Azure-based AI solutions. You may have a background in Machine Learning, Data Architecture, or DevOps, and are looking to step into a highly visible, forward-facing architect role. You're passionate about … clients and internal teams to define and architect GenAI solutions. Lead pre-sales activities including discovery workshops, PoCs, and demos. Architect scalable, robust Azure AI/ML-based solutions. Support proposition development and contribute to technical thought leadership. (blogs, talks) Travel to client sites where required. (fully More ❯

and customers Preferred Qualifications: Background in at least one BI platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker More ❯

and customers Preferred Qualifications Background in at least one BI platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

business continuity within financial services or regulated environments. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, NLP, and AI algorithms. Knowledge of model lifecycle management: training, validation, deployment, and monitoring. Ability to assess and mitigate risks …/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools such as MLflow, Azure ML, SageMaker, Databricks, Python. Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering. Experience More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks, Python etc). Excellent stakeholder management and communication skills. Technical background in AI/ML, data science, or software engineering More ❯

the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts An understanding of the process and data complexities and prerequisites, and success More ❯

stakeholder management skills. Familiarity with Agile and Waterfall methodologies. UK-based and eligible to work without sponsorship. Bonus Points For: Experience with LLMs, machine learning platforms, or AI governance. Previous work with cloud-based AI tools (e.g., Azure ML, AWS SageMaker, GCP Vertex 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 ❯