4 of 4 Machine Learning Jobs in Hillingdon

communicate model selection, deployment strategies and the rationale behind technical decisions, fostering transparency and trust. Mentor and develop team members, promoting innovation, continuous learning, and professional growth within the London Data Science team. Maintain rigorous quality assurance and governance protocols for all AI projects, ensuring compliance with ethical … translating technical insights into business value. Experience in AI governance, ethical frameworks, and regulatory compliance. Skills: Advanced proficiency in data science techniques, including machine learning, optimisation, simulation, deep learning, and generative AI. Comprehensive understanding of the mathematical foundations underpinning AI algorithms. Strong stakeholder engagement and relationship-building ...

priorities across business units. Execution Excellence: Track record of delivering results in high-velocity, transformation-driven environments. Technical Acumen: Strong grasp of AI/ML concepts and their application to operational optimisation. Communication: Clear, compelling communicator-able to engage execs, engineers, and frontline teams alike. Prior to Experience: Commercial ...

priorities across business units. Execution Excellence: Track record of delivering results in high-velocity, transformation-driven environments. Technical Acumen: Strong grasp of AI/ML concepts and their application to operational optimisation. Communication: Clear, compelling communicator-able to engage execs, engineers, and frontline teams alike. Prior to Experience: Commercial ...

from our client's operational data while ensuring solutions can be adapted for other OpCos. This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact. Contract - 12 months (high potential to extend further) Location - Heathrow Hybrid - 2 to 3 days … performance. Develop models and analytics that can be generalised and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). ...