3 of 3 Temporary Machine Learning Jobs in the UK excluding London

including predictive analyses and visual analysis dashboards Experience of analysing data in R and Python Experience of working in a data science role Desirable Experience managing projects. Experience developing machine learning algorithms Experience developing teams Qualifications Essential Educated to masters level or equivalent experience in a numerical subject, such as Maths, Statistics, Data Analysis or Data Science Evidence … in at least one programming language commonly used for analysis (e.g. R, Python and SQL) Advanced user in R or Python Use of analytical techniques, including supervised and unsupervised machine learning algorithms, such as regression modelling, decision trees and classification. Benchmarking, modelling and forecasting skills Desirable Automation using SQL and Microsoft apps Knowledge of NHS IT systems Understanding 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 ❯