1 to 25 of 40 Remote Azure Machine Learning Jobs in the UK

the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information More ❯

their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping … Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem … Familiarity with modern AI frameworks and open-source toolkits (Desirable). Role and Responsibilities Design and implement data models and pipelines to support advanced analytics and reporting. Apply machine learning, natural language processing (NLP) and AI models to derive meaningful insights from complex datasets. Work closely with Data Engineers, Software Developers and Analysts to build and More ❯

insightful analytics, and drive intelligent decision-making across the business. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable, measurable solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit … learn, TensorFlow, PyStats). A solid understanding of machine learning techniques and real-world … performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and Delta Parquet formats. Strong data More ❯

Developer to join a high-profile project within a UK government organisation. Your primary mission will be to design, build, and integrate innovative AI solutions leveraging the Microsoft Azure AI stack, with a specific focus on Microsoft Copilot technologies. You will be instrumental in developing proof-of-concepts and production-ready applications that enhance public service delivery … meet stringent security, data protection, and accessibility requirements. Essential Skills & Experience Proven AI Development Experience: Demonstrable commercial experience in developing and deploying AI solutions, specifically within the Microsoft Azure AI ecosystem . Microsoft Copilot/Azure OpenAI: Hands-on, practical experience with Microsoft Copilot (e.g., Copilot for M365, building custom Copilots) or Azure … Cognitive Services (Vision, Speech, Language), Azure AI Search (formerly Cognitive Search), Azure Document Intelligence , and Azure Machine Learning . Data & API Integration: Experience integrating AI solutions with databases, APIs, and data pipelines. Agile & Version Control: Experience working in Agile delivery environments and proficiency with More ❯

for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI Engineering ideally in an Azure environment. Salary and Benefits Competitive salary of up to £75,000 (DOE) Performance-related bonus of up to 10% Remote working (occasional travel to London office) Flexible working … Role and Responsibilities Work closely with clients to understand business requirements, define AI use cases, and deliver on AI solutions. Design scalable AI solutions, including Gen AI, leveraging Azure AI Foundry. Build, test, and deploy robust and secure AI models and applications, ensuring they are suitable for production environments. Present technical concepts to clients, including both technical … Requirements Proven experience in AI/ML solutions on Azure, ideally with Generative AI. Expertise with Azure AI, Azure Machine Learning, and Azure OpenAI Service. Strong Python and PyTorch. Experience of RAG pipeline deployment, prompt engineering, fine-tuning foundation models. Knowledge of Responsible AI More ❯

for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI Engineering ideally in an Azure environment. Salary and Benefits Competitive salary of up to £75,000 (DOE) Performance-related bonus of up to 10% Remote working (occasional travel to London office) Flexible working … Role and Responsibilities Work closely with clients to understand business requirements, define AI use cases, and deliver on AI solutions. Design scalable AI solutions, including Gen AI, leveraging Azure AI Foundry. Build, test, and deploy robust and secure AI models and applications, ensuring they are suitable for production environments. Present technical concepts to clients, including both technical … Requirements Proven experience in AI/ML solutions on Azure, ideally with Generative AI. Expertise with Azure AI, Azure Machine Learning, and Azure OpenAI Service. Strong Python and PyTorch. Experience of RAG pipeline deployment, prompt engineering, fine-tuning foundation models. Knowledge of Responsible AI More ❯

Azure AI Engineer Permanent Hybrid - Home based in the UK - (No sponsorship can be offered) Must be SC Cleared or SC Clearable Join a leading tech and innovation partner who focus on delivering intelligent, enterprise-grade solutions. As an Azure AI Engineer , you’ll design and operationalise cutting-edge solutions that combine Azure … Key Responsibilities Design, build, and deploy Azure AI-powered applications using Azure OpenAI, Cognitive Services, AI Search, and Azure Machine Learning . Engineer data pipelines and orchestration with Azure Data Factory, Synapse, Fabric, and SQL , ensuring scalability and governance. Implement Microsoft Purview or equivalent … frameworks for data security, compliance, and lineage tracking . Develop AI-driven integrations and automations across Dynamics 365 , Power Platform , and custom web applications . Use Azure Functions, Logic Apps, and APIs to orchestrate data and AI workflows. Design and deliver retrieval-augmented generation (RAG) and Copilot-style assistants embedded into business and web applications. Embed observability More ❯

are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like … management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a … deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present More ❯

are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like … management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a … deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture … to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … sector clients (or internal clients within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud More ❯

expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture … to business development activities, including bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present … sector clients (or internal clients within large organisations) through RFI/RFP responses, bid documentation, and client presentations. Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud More ❯

AI & Data Consultant - Microsoft Fabric Permanent - Fulltime Homebased - Hybrid working in the UK (No sponsorship can be offered) - Must be SC Cleared or SC Clearable As a Senior Azure AI & Data Consultant you would be designing and delivering next-generation data solutions with Azure Synapse , Azure Databricks , and Microsoft Fabric . … Databricks, Synapse, and Azure ML to build data pipelines and models. Partner with data scientists and business stakeholders to support predictive analytics, machine learning, and AI-driven decision-making . Drive best practices in data governance, performance optimisation, and workflow automation. Champion Microsoft Fabric adoption and innovation across client engagements. … experience with Azure Synapse , Azure Data Factory , Microsoft Fabric and Databricks . Experience delivering AI/ML solutions Strong skills with Microsoft Azure, AI and Data Science. Hands-on with Python, SQL, and related tech. Experience with Generative AI, LLMs, and NLP frameworks. Implementing AI into enterprise systems at scale. A More ❯

Azure/Databricks Data Engineer x2 - UK Wide (Hybrid Working) £72,000-£80,000 Duties As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure … data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and … a Data Engineer or similar role. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and More ❯

Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams … engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across … This is a fantastic opportunity to 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 and deploy models using tools … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor and optimize data pipelines … designing, developing and implementing Databricks solutions Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and … teamwork skills. Passion for data and a thirst for learning and is either already a Databricks champion or working towards it Relevant Architecture certifications from Mircosft and Databricks More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power … a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data … and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power … a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data … and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption More ❯

innovative solutions for critical client needs. Desirable Skills (Not essential – training and support provided) Cloud deployment and management experience (AWS or Azure). Familiarity with Machine Learning frameworks (TensorFlow, Azure ML, or Amazon ML). Containerisation and orchestration using Docker or Kubernetes. Understanding of relational, document, or graph databases. Experience More ❯

you learn them) Experience with Machine Learning frameworks (e.g. Amazon or Azure ML, TensorFlow). Cloud deployment and management (AWS, Microsoft Azure). Containerisation using Docker or Kubernetes. Familiarity with relational, document, or graph databases . Software configuration and deployment using Ansible or similar tools. Why Join Competitive salary of More ❯

and secure AI service architectures. Required Experience/Skills: 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). Ensure compliance with AI ethics More ❯

and secure AI service architectures. Required Experience/Skills: 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). Ensure compliance with AI ethics More ❯

and secure AI service architectures. 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). Ensure compliance with AI ethics More ❯

/Pre-Sales Architect/SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR More ❯

/Pre-Sales Architect/SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR More ❯