1 to 25 of 35 Permanent Deep Learning Jobs in London

scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like … with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs ...

Robot Learning/Embodied AI We’re partnering with a venture-backed robotics startup building systems that allow humans to extend their physical capabilities through intelligent robotic platforms. The company recently secured new funding and is expanding its AI research team to develop learning systems for dexterous manipulation … real-world robotic autonomy. This role sits at the intersection of robot learning, multimodal models, and real-world deployment. The focus is not simulation research alone. The work is about taking cutting-edge robot learning approaches and making them function reliably on physical systems. Why this opportunity ...

Machine Learning Engineer Location: UK (hybrid/on-site as required) Rate: £550 per day (Outside IR35) Security Clearance: Must hold UK SC Clearance Contract Machine Learning Engineer – Defence AI Programmes We are supporting a specialist AI organisation delivering advanced machine learning capability into the defence sector. … development and optimisation of advanced ML models, contributing to applied AI solutions across defence and national security projects. Key responsibilities include: Designing and implementing deep learning models Developing computer vision and pattern recognition systems Building and refining synthetic data pipelines Supporting modelling and simulation environments Deploying models within ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

What you’ll be doing Model Development: Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development. Data Pipeline Engineering: Build and maintain scalable data pipelines to support feature engineering … engineering, product, data, and research teams to ensure ML solutions align with product and business goals. Research & Innovation: Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems. What you'll bring End‐to‐end experience across ...

personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. … Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. ...

Quant Researchers — Microstructure & Monetisation (London/NYC/India) The Opportunity An elite, deep-learning focused HFT are hiring Microstructure & Monetization HFT Quant Researchers across London, NYC and India. What You’ll Do Monetise core deep-learning alpha via efficient execution across futures & options across ...

automation. Develop agentic AI workflows capable of executing multi-step banking or operational tasks. · Work with structured and unstructured financial data to build machine learning models and AI pipelines. Integrate AI capabilities into existing systems using APIs and modern software architecture. Collaborate with domain teams (payments, banking operations, risk … banking of which at least the last 2+ years have to be in core AI engineering for banking/payments workflows. AI/Machine Learning Strong programming expertise in Python. Experience building and deploying machine learning or deep learning models. · Hands-on experience with LLMs ...

Senior Machine Learning Engineer Location: UK (hybrid/on-site as required) Salary: £80,000 – £100,000 Security Clearance: Must be eligible for UK Security Clearance (SC minimum) Machine Learning Engineer – Defence & Advanced AI We are partnering with a cutting-edge AI organisation delivering advanced machine learning solutions into the UK defence sector. They are seeking a Machine Learning Engineer to join their growing team, working on high-impact, mission-critical systems across computer vision, simulation and applied AI. This is an opportunity to work at the forefront of applied artificial intelligence, solving complex real ...

Role: Full-time (Permanent Role) We are building a world-class AI research team focused on advancing next-generation agentic systems and intent-aware learning architectures. Our mission is to bridge cutting-edge research in large language models, reinforcement learning, and alignment with scalable, real-world production systems. … will operate at the intersection of research and product, shaping foundational capabilities in intent understanding, agent learning, and model alignment across distributed AI environments. This is an opportunity to influence AI systems deployed at global scale across diverse compute environments including edge and cloud. Responsibilities Define Research Agenda Identify ...

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 ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. … looking for candidates that can combine technical expertise with a true consulting approach. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept ...

technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … analytics experience (typically around 5 years). Proven track record with Generative AI and LLM-based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in-house analytics, or agency environments. Excellent communication and problem-solving skills. ...

partnered with a global Oil & Gas organisation offering the opportunity for a contract Senior AI Engineer to design and deliver advanced AI and machine learning solutions for enterprise-scale industrial applications. This role will focus on applying AI to reliability, corrosion, well and reservoir facility management, process engineering … systems that drive operational performance and asset insight. Responsibilities of the Contract Senior AI Engineer (Oil & Gas) Design and deploy advanced AI models including deep learning, graph neural networks, generative AI and vector embeddings to create adaptive systems that continuously learn from operational data. Build scalable AI platforms ...

FAIR) team is hiring Research Engineers to work on cutting-edge systems at the frontier of artificial intelligence. This role goes beyond traditional machine learning — you’ll be building AI agents that can automate research workflows, accelerating the path toward human-level intelligence. 🔥 What You’ll Work On Designing … class researchers and engineers Turning ideas into real, scalable systems ⚙️ What You Bring Strong coding skills in Python Hands-on experience with PyTorch/deep learning frameworks Background in machine learning/AI/data systems Exposure to LLMs or generative AI Ability to move fast, experiment ...

such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring … continuous improvement lifecycles. Experience developing and integrating APIs, particularly for serving machine learning models. Experience building enterprise-integrated solutions that deliver end-to-end capabilities and the ability to recommend appropriate architectural approaches based on use case requirements. To apply for this role please submit your CV or contact ...

global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs … Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Master’s in Computer Science, Mathematics or related field Strong computer vision expertise and experience fine-tuning state-of-the-art models Deep learning experience (e.g. PyTorch , CUDA, model optimisation for training and inference) Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring) Solid understanding ...

models outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation. Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms ...

coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack … Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

existing enterprise technology ecosystems. You will work with senior stakeholders to define AI architecture strategies and deliver scalable solutions that leverage Generative AI, machine learning and cloud-based data platforms. The role will involve leading the design and implementation of end-to-end AI architectures while supporting organisations through … senior stakeholder vision into AI/ML/Generative AI architecture strategies and implementation roadmaps Design and implement end-to-end AI and machine learning architectures Evaluate and recommend appropriate AI/ML use cases for enterprise-scale deployment Select appropriate cloud technologies and AI platforms based on scalability ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable assets, solutions ...

week. Competitive salary between £60,000 and £70,000 plus benefits. This is an exciting opportunity to join a fast-scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer-facing AI features, internal automation … Skills and Experience Strong Python engineering skills with experience delivering production models. Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques. Familiarity with cloud environments, ideally GCP, but open to other platforms. Understanding of model deployment, microservices, and scalable data patterns. Ability ...