21 of 21 Deep Learning Jobs in Central London

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning … rare chance to take full ownership of the fund’s AI research strategy. You’ll have complete freedom to explore, design, and implement novel deep learning models to generate alpha across the fund. Working alongside world-class quants, you’ll define the long-term roadmap for deep ...

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 ...

seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI systems for real-time photorealistic rendering and 3D applications. You will work at the intersection of deep learning … Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced ...

authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production … Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this or wider Technology ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

Title: Senior Machine Learning Engineer (Bio/AI) Location: Near London (Hybrid, 3 days onsite) Salary: £95,000 – £150,000 Company: Stealth Biotech Startup (Series A) About the Company This venture-backed biotech startup is developing AI-driven platforms to transform drug discovery and precision medicine. Operating across machine … learning and experimental biology, they are focused on extracting meaningful insights from complex biological systems to accelerate therapeutic development across areas such as oncology and rare diseases. With strong early funding and a growing multidisciplinary team, they are now scaling both their technical platform and engineering capability. The Role ...

ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges … whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing ...

world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product … teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep ...

their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features … data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. REQURIED SKILLS & EXPERIENCE Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency ...

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 ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around … scenes' support staff, you've got all the ingredients to make it a magical experience! Job description Researching, developing, and implementing innovative machine learning techniques to Stats Performs wealth of sports data, across various sports, such as soccer and tennis. Productizing your models alongside engineers and product teams ...

Senior Staff Machine Learning Engineer (Drug & Target Discovery) — Senior Technical Lead Ready to build the ML backbone behind next-generation human health discovery? We’re partnering on a retained search for a Senior Staff/Principal-level Machine Learning Engineer to lead the design, training, and deployment … edge research into robust, production-grade systems that can improve how new treatments are discovered and developed. We’re looking for senior candidates with deep expertise in: • Deep learning and modern ML systems • Distributed training and GPU infrastructure • MLOps, deployment, and reliability at scale • Biomedical, genomics ...

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. ...

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 ...

seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal … ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's Proven record of publications ...

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 ...

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 ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. But we're not done. … teams on multimodal AI features - Research and implement advances in vision-language models and foundation models Required Skills & Qualifications: - Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) - Experience building and training CNNs, Vision Transformers, or object detection models - Familiarity with OpenCV and standard image processing ...

process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Product and Platform Specialist- Strong Proficiency in Python and deep learning frameworks (PyTorch) LLM Architectures & Training: Understanding Transformers, Large Language Models (LLMs) RAG Pipeline Development: Building retrieval systems using vector databases Core RAG Components & Optimization ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information … organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands-on experience ...

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 ...