1 to 25 of 63 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 ❯

on this journey with us Focus of the role: We are looking for a DP-100–certified Azure Data Scientist who is passionate about applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills and broaden into wider Azure … analytics capabilities, building a long career here at BCN Group within a growing and exciting innovation technology team. Our people have three things in common: a curiosity for learning, a drive to deliver projects brilliantly, and a belief that together we make a difference. Using your expertise in Azure Machine Learning … Actions, and Fabric/Power BI to ensure solutions are observable, governed, and production-ready. This is an exciting opportunity to develop new capabilities and establish industry-leading machine-learning practices that drive measurable outcomes for our clients. Responsibilities: Work directly with business stakeholders to conceive, design and deliver end-to-end machine learning More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact … on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate … in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms 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 ❯

expand their data and analytics capabilities. Youll 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 ❯

applicable to the role). Proficiency in modern programming languages (e.g., Python). Experience with designing, building, and optimizing scalable, secure, and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. Experience with database technologies (SQL/NoSQL) and data integration patterns. Familiarity … with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services for model consumption). Good experience in configuring and managing CI/CD pipelines (e.g., Azure … templates ('cookie-cutter' style automation) . Good understanding of containerization technologies (e.g., Docker, Kubernetes). Experience with monitoring and logging tools to manage application and infrastructure health (e.g., Azure Monitoring, Azure AppInsights) Desirable skills/knowledge/experience: Soft Skills: Demonstrated strong analytical and problem-solving abilities focused on application logic and design. Excellent 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure … . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What Youll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency in More ❯

Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure … . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You’ll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency 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 ❯

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 ❯