9 of 9 Permanent Azure Machine Learning Jobs in the North of England

Contract Machine Learning Engineer - Remote (UK-Based) - £550-£700/day (Outside IR35) Location: Remote (UK-based candidates only) Contract Length: 6 months, with strong potential for extension Day Rate: £550-£700 per day (Outside IR35) Start Date: ASAP or within 4 weeks A leading technology … consultancy is seeking an experienced Contract Machine Learning Engineer to support a consultancy who are working on a Data Science proof of concept. This role is fully remote (within the UK) and offers the opportunity to work on impactful machine learning projects … from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and More ❯

Contract Machine Learning Engineer - Remote (UK-Based) - £550-£700/day (Outside IR35) Location: Remote (UK-based candidates only) Contract Length: 6 months, with strong potential for extension Day Rate: £550-£700 per day (Outside IR35) Start Date: ASAP or within 4 weeks A leading technology … consultancy is seeking an experienced Contract Machine Learning Engineer to support a consultancy who are working on a Data Science proof of concept. This role is fully remote (within the UK) and offers the opportunity to work on impactful machine learning projects … from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and More ❯

week. This is an interesting and varied role where you will be responsible for designing, developing, and deploying AI enabled solutions on the Azure and wider Microsoft 365 platform. You will utilise Microsoft low code tools such as Copilot Studio, Teams toolkit and the Power Platform to … the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI … placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power More ❯

functions, Azure Service bus, Azure Logic apps and third-party applications, Azure Machine Learning, and SSRS Reports. Develop solutions and utilise test-driven development to build features for those solutions (Jasmine, Mock, N-Unit). … experience of content migration using KingswaySoft; Experience in setup and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. … to-work Scheme Future Planning Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Interested but don't feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the More ❯

will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales … and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS More ❯

will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales … and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS More ❯

will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales … and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communic... More ❯

to achieving the strategic business objectives. You will have the chance to dive into cutting edge tech including Azure, AI, Machine Learning, and more. As Lead Developer, you will be working across multiple application stacks providing expertise in selecting new technologies, maintaining existing More ❯

management, or business continuity in financial services or regulated environments. Knowledge of AI/ML technologies, model governance, responsible AI principles. Understanding of machine learning models, NLP, AI algorithms, and model lifecycle. Ability to assess and mitigate AI risks such as bias and model drift. Familiarity … SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Python). Excellent stakeholder management and communication skills. Desirable Skills: Technical background in AI/ML, data science, or software engineering. More ❯