5 of 5 Permanent Azure Machine Learning Jobs in Merseyside

Position Overview We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems … ML frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation ...

Must have Security Clearance Warrington If you have 4–5 years of experience in data roles and a passion for Generative AI, ChatGPT, machine learning, and Azure's modern data stack, we want to hear from you. What We're Hiring … ML and Generative AI solutions, including chat-based applications, RAG pipelines, and LLM-powered tools using Azure Machine Learning, Azure OpenAI, and vector databases. Why Join? You'll work at the edge of innovation, building solutions that combine: Azure ...

Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role … multiple sources to ensure quality and accuracy. Apply statistical and analytical techniques to uncover insights and trends. Build and deploy predictive models using machine learning methods. Visualise data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. ...

Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including … Certification Master's or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field. Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable. ...

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). ...