8 of 8 Deep Learning Jobs in Central London

Machine Learning Engineer/ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly … data-driven approaches to complement traditional quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills Machine Learning Expertise : Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning) Extensive experience with neural networks, including RNNs, LSTMs, Transformers ...

Senior Machine Learning Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) Salary: £75,000 - £100,000 (depending on experience) The Role We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role … strong influence over architecture, tooling, and the future direction of LLM-powered products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI , including fine-tuning, vector search ...

Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap/… Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI ...

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 ...

global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines … models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams ...

advanced analytics solutions across our client’s business in the postal service sector. Day-to-day of the role: Design, develop, and deploy machine learning models for predictive analytics, classification, clustering, and recommendation systems. Utilize Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis, sentiment analysis … Qualifications: Strong proficiency in Python, SQL , and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Hands-on experience with ML algorithms and deep learning architectures. Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. Knowledge of big data technologies and cloud platforms. ...

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 ...

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 ...