3 of 3 Temporary Machine Learning Jobs in England

Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role … architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference ...

functionality to our forecasting dashboards; testing our data to try to find new useful features to train our forecast on or researching new machine learning techniques to use in our pipeline. You will work alongside data scientists, engineers, analysts and traders to maintain and develop our forecasting capabilities. … will learn: Data science skills (python, data wrangling, data visualisation) Machine Learning methods (model types, workflow, metrics) Data engineering principles (sql, version control, ETL) Context around the Wholesale Energy Market What you'll need: We're looking for someone with a general interest in the energy industry ...

with colleagues across business units to translate needs into practical AI-enabled solutions. Required Skills & Qualifications: Proven experience developing, tuning, and deploying AI/ML models using frameworks. Experience with Azure AI Foundry Hands-on experience with agentic AI tools and orchestration frameworks. Proficiency in Python and familiarity with … Awareness of data governance, secure handling of sensitive data, and regulatory considerations. Knowledge of MLOps/DevOps practices, including CI/CD pipelines for ML models. Understanding of reinforcement learning, multi-agent systems, or advanced optimization methods. Previous experience working in regulated industries is advantageous. In the first instance ...