5 of 5 Transfer Learning Jobs in the UK

This role is designed for a senior AI leader who operates at the frontier of machine learning and real-world impact. The focus is on building and scaling advanced AI systems that learn from complex, messy, multi-modal data and turn that learning into reusable capabilities that materially … team of AI scientists and ML engineers building large-scale, production-ready AI systems Designs and delivers foundation models using self-supervised and representation learning techniques Builds models that learn across multiple data modalities and scales, from granular signals through to population-level insights Embeds explainability, uncertainty and causal ...

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With … sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal ...

Data scientist- Principal Data Scientist/Senior Machine Learning Scientist/AI/ML Solution Architect Key Responsibilities Lead end-to-end machine learning solution delivery for complex enterprise use cases Translate ambiguous business challenges into structured ML problem statements and solution architectures Design, develop, and optimise advanced … machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases ...

Enterprise Data Architect Key Responsibilities Lead end-to-end machine learning solution delivery for complex enterprise use cases Translate ambiguous business challenges into structured ML problem statements and solution architectures Design, develop, and optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning … Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/LSTMs/GRUs for sequential data Transformer architectures for NLP and structured data Fine ...

Unlabeled conversational history (feedback integration is on our roadmap) You must be comfortable with: • AWS, Python, CI/CD, Terraform • Production ML pipelines • Embeddings, transfer learning, teacher-student learning • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking • Only ...