13 of 13 Deep Learning Jobs in Central London

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding … patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research ...

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 ...

seeking a Senior Deep Learning Engineer to build the future of Embodied AI . This is a role for those who work 'in the weeds' of model architecture and training loops not API wrappers or prompt engineers. The Mission Architect Behavior: Own the development of motor policies using … weak-supervision , and curate high-quality datasets. Failure Analysis: Systematically identify and solve failure modes through retraining loops. Technical Requirements Experience: 3+ years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video ...

future where human well-being is safeguarded while closing the gaps in critical global labour needs. 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 ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models ...

seeking a Senior Deep Learning Engineer to build the future of Embodied AI . This is a role for those who work 'in the weeds' of model architecture and training loops not API wrappers or prompt engineers. The Mission Architect Behavior: Own the development of motor policies using ...

insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate … advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field ...

Reinforcement Learning (RL) Engineer Manipulation London Based (5 days in office) Competitive salary A high-profile robotics organization is urgently seeking a high-caliber RL Engineer (Manipulation) to join their London-based R&D team. This role is pivotal in bridging the gap between simulation and real-world application … behavior cloning. High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure. Essential Skills Needed Deep Learning Mastery: 5+ years building and shipping models, with deep hands-on expertise in LLMs, VLMs, or generative architectures. Industry Experience: 3+ ...

developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff … Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus. Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch ...

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 ...

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. ...

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 ...

action—you identify problems and propose solutions. Agent Architectures: Experience with agent architectures, tool-use patterns, and multi-step reasoning systems. Proficiency in Python: Deep expertise in Python with a strong grasp of async programming, type systems (Pydantic), and best practices for production-grade code. Scalable Backend Systems: Proven … Record: Demonstrable experience through previous roles, side projects, or open-source contributions in the AI/ML space. Bonus Points Fundamentals of statistics, machine learning, and deep learning. Experience with evaluation frameworks and observability tools. Contributions to open-source AI projects or published research. Familiarity with MLOps, model ...