1 to 25 of 26 Remote/Hybrid Azure Machine Learning Jobs in the UK

AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role … experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance ...

AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role … experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance ...

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer … position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building ...

services and solutions. DXC Technology is recognized among the best corporate citizens globally. About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team. Youll play a key role in designing, developing, and deploying scalable ML solutions across a variety … work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize ...

practical, high-impact solutions that improve decision-making and operational efficiency. This role combines strategic vision with practical development and line management, ensuring machine learning and advanced analytics are embedded into the RNLIs digital transformation. Your role Our Lead Data Scientist will set the direction … data science at the RNLI while remaining deeply involved in delivery. This role identifies opportunities for advanced analytics, machine learning, and AI, shapes the roadmap, and ensures solutions are deployed into real-world environments. It requires curiosity, technical depth, and the ability to influence stakeholders while ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days … week. As an AI Engineer, youll be responsible for designing, developing, and deploying AI and Machine Learning solutions that directly support and enhance operational efficiency across our clients business. Working with our clients Information Systems team, youll collaborate with software engineers, data scientists, and business stakeholders ...

analytics, cloud engineering, and compassionate innovation, helping shape the future of care intelligence. What You’ll Do Develop and maintain data pipelines across Azure services, including Azure Data Factory, Synapse Analytics, Fabric, and Data Lake Support the design and implementation of benchmarking methodologies using … hundreds of care homes Contribute to the development and deployment of predictive models (e.g., fall prediction, infection risk) using Azure Machine Learning Work with developers and product teams to integrate ML outputs into dashboards, APIs, and customer-facing tools Perform data exploration, cleaning ...

role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value … redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ...

role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value … redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ...

role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context. You will own work from the very beginning, asking questions like "What value … redaction and content filtering Exposure to agentic frameworks Cloud and infrastructure Comfortable working in at least one major cloud provider. AWS, GCP or Azure Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior ...

base salary Hybrid working with three days in the London office Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain Global exposure and the opportunity to work with senior stakeholders across time zones A collaborative, supportive culture that encourages … bring Hands-on experience delivering AI/ML solutions into production environments Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred) Experience operationalising models using tools such as Azure ML, Databricks, MLflow Understanding of data engineering, data governance, and lakehouse ...

secure, scalable, and adopted capabilities that deliver measurable productivity gains, while operating within regulated enterprise environments. The ideal candidate will be proficient in: Azure AI (ML, Applied AI Services, Cognitive Services, AI Foundry, Responsible AItoolkit) - Technical stack: Python, Java, C++, Java7Script, HTML, CSS, PHP, SQL (MySQL,Oracle ...

secure, scalable, and adopted capabilities that deliver measurable productivity gains, while operating within regulated enterprise environments. The ideal candidate will be proficient in: Azure AI (ML, Applied AI Services, Cognitive Services, AI Foundry, Responsible AItoolkit) - Technical stack: Python, Java, C++, Java7Script, HTML, CSS, PHP, SQL (MySQL,Oracle ...

Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). ...

Location: Bath Hybrid (2 days in the office) Salary - £71k to £85k+ 10% Bonus, combined contribution of 20% pension, Health care, Life Insurance Azure | CI/CD | AI/ML Are you a Data Architect passionate about designing modern data platforms that enable AI and advanced analytics … need Proven experience as a Data Architect or Technical Lead in enterprise settings Strong Azure expertise (Data Services, Data Factory, Synapse, AzureML) Hands-on experience with CI/CD, DevOps, and MLOps Solid understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Proficiency in Python ...

SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR ...

SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR ...

cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance … Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong ...

cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance … Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong ...

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required … more details... Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure ...

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required … more details Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure ...

models, and scenario-modelling techniques to support pricing and decision-making use cases Define cloud-native AI architectures on GCP and/or Azure , ensuring scalability, security, and governance Work closely with business stakeholders to translate complex AI capabilities into clear, defensible business outcomes Provide technical leadership … enterprise-scale AI architectures Strong hands-on experience with LLMs, multi-agent systems, and ML pipelines Cloud expertise across GCP and/or Azure (Vertex AI, Azure AI, ML platforms, APIs) Experience working in regulated or complex enterprise environments (financial services highly desirable) Ability ...