2 of 2 Data Science Developer Jobs in London

AI/ML Data Science Developer Start: ASAP Duration: 6-12 months Location: 2-3 days on site in Stevenage Pay: inside IR35, up to £510 per day We're seeking an experienced Senior AI/ML Developer to join an innovative team shaping next-generation solutions in the Telecoms sector. Key Responsibilities - Design, build and … deploy AI/ML models, including LLMs and generative AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML … of AI/ML advancements and best practices - Collaborate with cross-functional teams and support junior staff Your Profile Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in More ❯

Are you an experienced AI/ML and Data Science Developer looking for your next contract role? Join one of the world's leading IT services, consulting, and business solutions organization. Founded in 1968, the company consistently ranks among the top global IT service providers. With a presence in over 50 countries, the company has built a … telecommunications, and retail. The leading consultancy firm has partnered with a global leader in network and optical security technologies. They are currently seeking an experienced AI/ML and Data Science Developer to join the team. Ready to make a move? Get in touch and apply today! Responsibilities: Design, develop, and deploy scalable AI/ML models … and GenAI solutions. Conduct extensive data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling. Apply advanced data science methodologies to derive insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical modeling to support business strategies. Train, evaluate, and optimise machine learning models using frameworks such as More ❯