14 of 14 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 ...

fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform blends advanced machine learning, deep learning, and reinforcement optimisation to decide the best action, message, or offer for every customer, automatically and at scale. We operate where ...

Title: Bio Machine Learning Engineer Location: Near London (Hybrid, 2 days onsite) Salary: Up to £90,000 Company: Stealth Biotech Startup (Series A) About the Company This early-stage biotech startup is building next-generation AI platforms to accelerate drug discovery and precision medicine. Backed by top-tier … they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely to turn complex biological data into real-world clinical impact. The Role They are looking ...

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 ...

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 ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists … strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will ...

team building AI-driven trading and quantitative systems operating at significant scale across global financial markets. You will work at the intersection of machine learning, time-series modelling, and algorithmic strategy developing models that directly influence trading decisions and market performance. If you have a strong background … applied to financial data and a deep understanding of market microstructure, this role was written for you. The Role Design, build, and deploy production-grade ML models for algorithmic trading, signal generation, and quantitative research pipelines. This is a hands-on engineering role with significant ownership over ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … oral presentation skills, that engages internal and external audiences Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space If this sounds like you, please do get in touch for a confidential discussion to find out more. ...

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 ...

candidates: Hire and mentor a small team of exceptional engineers and researchers Qualifications You've written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate … what makes variation operators work on hard combinatorial problems You're familiar with new or esoteric technical methods such as Neural Algorithmic Reasoning, Geometric Deep Learning, Category Theory, Neuroevolution, Megakernels, or the work of François Chollet, Kenneth Stanley, Jeff Clune, Jurgen Schmidhuber, David Ha, and Christian Szegedy Bonus ...

other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep Learning. Expert … level proficiency in Python and deep expertise with PyTorch. Strong practical experience with OpenCV for image and video processing tasks. Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family. Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks ...