6 of 6 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 ...

Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What … using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such ...

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 ...

warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls … using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams ...

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.). ...