10 of 10 Remote/Hybrid Permanent Azure Machine Learning Jobs

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully … automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy ...

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career …/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models ...

Data/Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through … solutions. We are proud to be recognised globally for corporate responsibility and inclusive workplace practices. The Role Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking ...

tech stack, and a track record of delivering scalable software solutions across multiple sectors. THE BENEFITS * Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment … commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments TO BE CONSIDERED: Please either apply through this advert or email ...

development programmes. Skills and Professional Experience Essential Experience in data science and an understanding of mathematical and statistical concepts relevant to AI and machine learning. Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM … transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities: Design and deliver scalable, secure end-to-end Microsoft … Lakehouse, Warehouses and Power BI) Designing and managing enterprise-grade workloads and semantic models to enable robust analytics and reporting, utilising Fabric and Azure ML Planning and sizing Fabric initiatives, including capacity needs, effort estimates, infrastructure requirements, team resourcing, and delivery timelines. Extensive knowledge in data modelling ...

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 Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) 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 Development Framework experience within Microsoft Stack Technologies ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) 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 Development Framework experience within Microsoft Stack Technologies ...

Experience Hey future innovator We're on the hunt for a Data Scientist who's obsessed with solving real-world problems using Deep Learning . If you've got 1-4 years of experience, right to work in EU or visa support on offer, and a passion … future of digital gaming experiences. What you'll be doing: Building smart ML models using image, text, audio & tabular data Training pipelines in Azure and deploying end-to-end apps in Python Creating tools for model inference, logging, and performance tracking Collaborating with data and engineering teams ...