4 of 4 Azure Machine Learning Jobs in Scotland

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 ❯

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 ❯

architects to define scalable, secure, and 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 with AI ethics, security … models. Experience with Hugging Face 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 understanding of data engineering, data More ❯