176 to 200 of 268 Remote Azure Machine Learning Jobs

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 ❯

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 ❯

world tech delivery experience and a passion for doing things better Bonus Points If You Also Bring: 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 governance More ❯

world tech delivery experience and a passion for doing things better Bonus Points If You Also Bring: 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 governance More ❯

world tech delivery experience and a passion for doing things better Bonus Points If You Also Bring: 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 governance 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 ❯

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 ) Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available; right … 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 … Core Skills Agentic AI & LLMs: Hands-on experience building, deploying, and managing large 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

frame problems and building solutions with effective commercial outcomes. Keen interest in emerging ML techniques and their commercial value. Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services Strong communication skills. Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and 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) Strong data visualisation skills (Power BI, Tableau 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) Strong data visualisation skills (Power BI, Tableau 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) Strong data visualisation skills (Power BI, Tableau 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) Strong data visualisation skills (Power BI, Tableau 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) Strong data visualisation skills (Power BI, Tableau 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 ❯

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 ❯