351 to 375 of 393 Azure Machine Learning Jobs

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 ❯

with production-level impact. Strong background in time-series data, ML model development, and deployment. Proficiency in Python, SQL, and cloud platforms like Azure ML and Databricks. Experience with MLOps, CI/CD, and data governance. Familiarity with SCRUM and collaboration tools like Git/GitHub. A More ❯

shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and semantic technologies. Preferred qualifications, capabilities and skills: Strong problem-solving skills and More ❯

to create innovative solutions. Essential Skills and Experience: Advanced proficiency in Power BI, including integration with an understanding of Azure Machine Learning. Expertise in SQL and Python (or R) for data analysis and modelling. Strong experience in dimensional data modelling and master data management (MDM More ❯

shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and semantic technologies. Preferred qualifications, capabilities and skills: Strong problem-solving skills and More ❯

latest developments in generative AI and evaluate their relevance to financial use cases. Requirements: Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or related field. 3+ years of experience building and deploying AI/ML models, including large-scale generative models. … based retrieval systems. Proficiency in Python and ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain). Familiarity with cloud platforms (AWS, GCP, or Azure), ML Ops practices, and secure data handling. What We Offer: Up to €100,000 Flexible Hybrid working Pension and Bonus Competitive compensation with 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 ❯

that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical … systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. More ❯

that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical … systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. More ❯

and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI More ❯

Requirements: 5+ years as a Full-Stack Developer (Java, Spring, JavaScript). Leadership experience, managing engineering teams. Exposure to Elasticsearch, Cloud (AWS/Azure), ML, GitHub, Jenkins, Linux. Python experience is a plus. Strong stakeholder management and collaboration skills. Job Type: Permanent - Head of Engineering Location: London More ❯