16 of 16 Permanent Deep Learning Jobs in Central 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 ...

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 ...

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 ...

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 ...

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 ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

continuous improvement, testing, and documentation standards What They’re Looking For Proven experience developing autonomous systems in aerospace or defence Strong end-to-end deep learning development experience Expertise across areas such as: Modelling Data/input pipelines Evaluation and deployment Model optimisation 5+ years building production-grade ...

including 1000s of A100s), 100s of petabytes of storage, and almost 10 petabytes of RAM. This cutting-edge infrastructure supports state-of-the-art Deep Learning models that process trillions of data points, driving trading algorithms that handle $300 billion across 80+ exchanges daily. They ...