251 to 275 of 414 Deep Learning Jobs in England

Recommendations team builds models that power discovery at Depop, helping millions of users find items that they will love. As a Staff Machine Learning Scientist, you’ll set the technical vision for our next-generation recommendation models, lead high-impact initiatives, and mentor others to drive innovation at scale. … Proven track record in designing, deploying, and optimizing large-scale recommendation systems, including candidate retrieval and ranking models, with measurable impact in production environments. Deep understanding of machine learning fundamentals and applied experience with architectures including collaborative filtering, deep learning, and hybrid recommendation approaches. Proven ability ...

grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design … industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal ...

advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that … critical model artifacts, and embed seamless security controls directly into distributed training and inference infrastructure. You will serve as the technical anchor bridging machine learning engineering, platform architecture, and adversarial defense. Operating in a fast-moving, high-stakes environment, you will lead AI-specific incident response and pioneer model ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data … customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical ...

right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep learning frameworks (PyTorch preferred)Familiarity with large-scale machine learning, particularly in the context of language modelsAbility to balance research goals with practical engineering constraintsStrong problem-solving skills and a results-oriented mindsetExcellent communication skills and ability to work in a collaborative environmentCare about the societal impacts of your ...

hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll DoArchitect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)Design agentic workflows enabling … cloud-native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation ...

frameworks (e.g., LangGraph, AutoGen, CrewAI). Hands‐on expertise with Generative AI (LLMs, prompt engineering, fine‐tuning). Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers). Experience with building Q&A systems and retrieval‐augmented generation pipelines. Knowledge ...

right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

will have the opportunity to: Design and implement robust data pipelines and ML workflows using Python, SQL, Spark and Databricks. Develop and deploy machine learning models, including NLP, deep learning and agentic AI, into production environments. Integrate data from diverse sources through both streaming and batch ingestion … will gain from working here: Competitive salary 25 days annual leave Private medical Career progression Extensive Training If youre passionate about data, machine learning and emerging AI technologies and want to work on challenging projects where your skills can make a genuine impact, wed love to hear from you. ...

engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive … processing large-scale, high-dimensional datasets, ensuring efficient data loading and manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical ...

even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands‐on experience with … machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ...

SUMMARY We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics. Our mission is to deliver better medicines through innovation in AI-based discovery technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained … role centers on designing and evaluating post-training approaches for large multimodal language models including supervised fine-tuning, parameter-efficient fine-tuning, reinforcement learning, preference or reward-based optimization, and other emerging post-training methods. You will develop rigorous evaluations and training infrastructure that make it possible to rapidly ...

backed by leading players across the automotive and tire industries, ATI is building technology that will redefine how cars are serviced. Our team combines deep robotics expertise with real world deployment, moving fast from prototype to production and scaling solutions directly in the field. This role offers an exciting … highly skilled and experienced Lead Perception Engineer with expertise leading a team of engineers solving difficult robotic perception challenges using both classical and machine learning (ML) approaches. The ideal candidate will have hands‐on experience with developing solutions end to end, including evaluation of the problem, sensor selection, leading ...

supporting all of Liberty Global' s AI-related efforts from a security standpoint and ensuring the technical security and integrity of AI and machine learning systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls … relevant stakeholdersESSENTIAL SKILLS & ABILITIES:Proven experience in Security Architecture or similar team(s), with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, best practices and standards, algorithms, models, frameworks, regulations and controls. Extensive experience in technical security controls, security principles, AI/ ...

design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight … Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it. Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation. Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures. ...

team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you’ll be doing: Leading project teams that deliver bespoke … quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/ ...

ambiguous environments. Desirable Experience It would be advantageous if you also have experience with: LLM fine‐tuning Agentic AI systems Microservice architecture Go Deep learning/traditional machine learning AI coding and agentic development tools such as Claude Code, Codex or similar What This Role ...

Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control Experience working with large datasets Knowledge of and interest ...

What you'll be working on: You'll operate at the cutting edge of AI/ML, working across areas including: Computer Vision Reinforcement Learning Large Language Models (LLMs) Natural Language Processing (NLP) Deep Learning and advanced ML techniques Novel algorithm development and experimentation A key part … commercial experience in AI/ML R&D Strong Python development skills Experience in one or more of Computer Vision, NLP, LLMs or Reinforcement Learning A track record of developing novel AI/ML applications Experience adapting and applying academic research Strong software engineering fundamentals Experience working in Agile ...

DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions … number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem. In this role, you willCreate and deliver production-ready, scalable and high-quality machine learning ...