4 of 4 Permanent Machine Learning Jobs in Renfrewshire

ML Engineer Erskine, Scotland or Newcastle, 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 a variety of domains. 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 like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into More ❯

a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools … MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural … 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 Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and ability to work independently or in a More ❯

shape the future of the manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve … EDUCATION & EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of More ❯

applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer in an enterprise setting Strong More ❯