3 of 3 Remote/Hybrid Deep Learning Jobs in the City of London

Machine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work … alongside Software Engineers, Machine Learning specialists, and the wider tech team to deploy, integrate and optimise innovative machine learning models within highly advanced, real-world products. Location: Cambridge, Cambridgeshire, hybrid working with a minimum of 2 days per week in the office Salary ...

across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test refine models … Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability to clearly communicate ...

senior technical guide to ensure pay models are rigorous, auditable, mathematically consistent, and free from unintended bias. MLE Collaboration: Partner closely with Machine Learning Engineers to ensure smooth, robust deployment and scaling of production-ready models. Causal Experimentation: Lead the design and execution of complex marketplace experiments to accurately … leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands‐on experience developing, deploying, and maintaining machine learning models in a corporate environment. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis ...