5 of 5 Temporary Machine Learning Jobs in England

Software Engineer - London Atrium EMEA is looking for several Machine Learning Software Engineers with full-stack … development experience to work on developing agents for coding and machine learning tasks. Your goal is to create LLM agents that can automatically carry out AI and ML research tasks completely on their own. The Software Engineers should have hands on experience in both machine learning engineering (training ML models), and who have full-stack SWE … PAYE contract role, till Dec 25 (Likely to extend). 3 days needed onsite in London office. Essential: Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post More ❯

objectives into a strategic technical vision. Knowledge Essential Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of technology trends through pro-active horizon scanning, and understands how to assess More ❯

compliance, and integration with broader digital transformation efforts Profile Proven delivery in technical project management, preferably in AI, digital delivery, or software development environments Strong understanding of data pipelines, machine learning work-flows, and cloud platforms (e.g., Azure, AWS, GCP) Familiarity with tools such as JIRA, Confluence, Gi.t, and project management software Excellent communication, organisational, and leadership skills More ❯

Job Description: Technical Contractor - Applied Physics and Data Modelling We are seeking a technically versatile contractor with a strong background in applied physics, data collection, and AI/ML modelling to join our team. In this role, you will bridge the gap between physical systems and data-driven models, playing a crucial role in our product testing environment. Key Responsibilities … Design, run, and refine experiments to capture data under various test conditions. Structure, record, and manage datasets for machine learning training and validation. Analyse experimental results to extract insights and provide feedback to improve product/… system performance. Transition an existing mechanical/physics-based model into a thermodynamic framework. Tune and optimise models to accurately represent real-world outcomes. Build and refine AI/ML models using PyTorch. Perform simulation and modelling work using Matlab. Required Skills & Experience: Strong grounding in thermodynamics and applied physics/engineering. Hands-on experience with PyTorch for machine More ❯

programme team; keep materials current and relevant to industry practice. What you'll bring Strong practical experience in at least one track: AI pathway: Python fundamentals, data handling, basic ML/AI concepts, model lifecycle, responsible AI; familiarity with Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365, ticketing, troubleshooting, networking basics, hardware More ❯