4 of 4 Remote/Hybrid MLOps Jobs in the West Midlands

/CD pipelines. Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks. Experience leveraging GenAI technologies to build data solutions. Ability to communicate ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business \n Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines \n Collaborate with enterprise platform and data science … What we're looking for \n \n Deep expertise in Python and ML engineering \n Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures \n Track record of leading ML/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure ...

responsible for turning machine learning models into production-grade solutions that deliver real value across the business. Working at the intersection of software engineering, MLOps, and data science, you'll build the frameworks, pipelines, and services that enable machine learning models to be deployed, monitored, scaled, and embedded within customer … one. Key responsibilities Partner with Data Scientists to transition models from experimentation into scalable, production-ready applications and services Design, build, and maintain MLOps frameworks, deployment pipelines, and automated model lifecycle processes Develop and support CI/CD pipelines, version control frameworks, and automated testing processes for machine learning solutions ...

Halfords is seeking a Machine Learning Engineer to turn models into production-grade services powering customer and operational experiences. You will bridge software engineering, MLOps, and data science to build scalable pipelines and APIs deployed at enterprise scale. You will work with Data Scientists to move experiments into robust solutions ...