8 of 8 Permanent MLOps Jobs in the North West

deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong leadership, communication, and stakeholder management ...

maintenance, yield/defect forecasting, anomaly detection, capacity planning, SPC-aware models). Deployment, governance, and scale Operationalise models in the cloud with robust MLOps practices, including versioning, monitoring, drift detection, retraining, and documentation. Create model cards and explainability artifacts to support trust and adoption by operators and leadership. Develop ...

Proven experience leading data and/or engineering organisations at scale Strong background in data engineering, with close collaboration with data science and MLOps Strategic mindset with the ability to go deep technically when required Solid understanding of engineering processes, architecture, and modern delivery practices Genuine interest ...

language Modelling & Deployment Develop and deploy predictive and prescriptive models (e.g. predictive maintenance, defect forecasting, anomaly detection, capacity planning) Operationalise models using cloud and MLOps best practices, including monitoring, documentation, retraining, and explainability Collaboration & Change Work closely with engineering, quality, maintenance, IT, production, and supply chain teams to translate insights ...

communicate solutions that enable data- and AI-driven business outcomes. This role supports the organisation in maximising productivity and innovation through reliable AI platforms, MLOps practices, and cloud-based digital transformation initiatives. What you’ll be doing: As a Digital and AI Support Apprentice, you will be supported to: Adopt ...

engineered, production-ready systems Develop and maintain end-to-end ML pipelines, including feature engineering, training, evaluation, versioning, monitoring, and automated retraining Contribute to MLOps capabilities, including CI/CD pipelines, model registries, infrastructure automation, and containerised deployments Perform robust model evaluation, including benchmarking, drift detection, fairness analysis, and performance … testing, tuning, and optimising machine learning models Comfortable working with large, complex datasets; experience with SQL and data preprocessing Experience or strong exposure to MLOps, including CI/CD, Docker, Kubernetes, and cloud platforms (AWS preferred) Understanding of Generative AI use cases and model governance or compliance processes Robert Walters ...

ML Engineer Location: Chester (Hybrid - 2x week in office) Salary: £70,000 - £80,000 About the Role I'm working with an established company who are looking to bring an ML Engineer into their team. ...

Staff Machine Learning Engineer Salary - £100,000 Remote Europe Looking for a role that gives you the opportunity to lead impactful machine learning projects while shaping the technical direction of a growing AI function? Excited ...