3 of 3 Remote/Hybrid MLOps Jobs in the Midlands

essential): Experience working with large language models via APIs or open-source frameworks. Fine-tuning or evaluating generative AI systems. Knowledge of MLOps, monitoring and lifecycle management. Experience with cloud AI/ML services and scalable data platforms. Exposure to reinforcement learning, graph machine learning or advanced deep learning techniques. ...

software engineers to integrate models into production systems Evaluate, test, and improve model performance over time Contribute to data pipelines, model training workflows, and MLOps practices Stay up to date with the latest developments in AI, ML, and data science Document models, experiments, and technical decisions clearly Requirements Master … Have Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data engineering tools or SQL Exposure to deploying models into production or MLOps concepts Internship, research, or project experience in applied AI Working Arrangements Hybrid role : a mix of office-based work in Northampton and remote working Collaborative, supportive ...

control, testing and technical documentation Work with cross-functional teams to integrate AI solutions into existing platforms and workflows Stay current with advancements in MLOps, DevOps and AI operations, driving continuous improvement Essential Skills for the AI Ops Engineer: Strong experience operating machine learning or AI systems in production environments … compliant and well-governed systems Desirable Skills for the AI Ops Engineer: Experience integrating Python-based services with modern front-end frameworks Familiarity with MLOps practices for deploying, monitoring and managing AI systems Exposure to large-scale enterprise data environments or knowledge management systems Understanding of Agile delivery practices ...