51 to 65 of 65 Deep Learning Jobs in the UK excluding London

programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for … Skills: - Custom model architecture design and implementation - Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time More ❯

and actively engage in team events and wider communities of practice. Essential Skills & Experience Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference PyTorch for deep learning model development and training OpenCV for … Technologies Custom model architecture design and implementation Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods Multi-modal AI systems combining text, image, and structured data Reinforcement Learning from Human Feedback (RLHF) for model alignment Production ML Systems Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management Model versioning and experiment tracking (MLflow, Weights More ❯

to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training More ❯

to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training More ❯

and monitoring Ability to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London More ❯

and monitoring Ability to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London More ❯

and monitoring Ability to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London More ❯

we are looking for We are looking for someone with proven experience in data architecture with a track record in large-scale data transformation initiatives. We are looking for deep technical expertise and retail domain knowledge and familiarity with Retail Industry Logical Data Models. Alongside this you will also bring: Strong experience in Data Management and Analytics in Google … and AWS platforms Experience of Information Security and GDPR, privacy and compliance regulations Data Modeling and Machine Learning It would be advantageous to have knowledge in/or/be familiar with Application Integration, and AI/Deep Learning Techniques Excellent analytical, planning, organisational and technical and skills along with excellent written and verbal communication skills What More ❯

connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS … CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE/DV CLEARANCE/DEVELOPPED VETTING/DEEP VETTING/DEVELOPPED VETTED More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

designed to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. We’re backed by top tier US More ❯

/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization …/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in Linux environments. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc. Excellent communication skills, teamwork abilities, and a results-oriented attitude. Strong problem-solving and debugging skills. Desirable Skills: Expertise in Image/Video More ❯

to the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs …/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem-solving skills. Why Join Us? Be More ❯

GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers and foster a culture of continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist … or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards More ❯