11 of 11 Reinforcement Learning Jobs in Cambridge

Deep Learning Researcher Cambridge/London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a … strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for … PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindset Preferred: Experience in LLMs, reinforcement learning, or chip More ❯

and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research … and development projects, contributing to both theoretical innovation and practical deployment. Education Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field. Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A … is required. Required Skills and Qualifications Strong analytical and problem-solving skills with a scientific approach to experimentation. Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation. Solid understanding of software engineering practices, particularly in the context of ML development. Hands-on experience More ❯

recruiters to connect directly with the world's most impressive DeepTech companies to place the TOP 1% talent across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning, and related fields. Role logistics: Ideally 2 days in their Canary Wharf office (could be 1 depending More ❯

a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You'll contribute to innovative projects in areas such as large … language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML researchDesign algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and … PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip More ❯

a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large … language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends … and contribute to open research Requirements: • PhD or equivalent experience in ML, AI, CS, physics, or mathematics • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design More ❯

Senior Researcher - Machine Learning - Microsoft Research Join to apply for the Senior Researcher - Machine Learning - Microsoft Research role at Microsoft Senior Researcher - Machine Learning - Microsoft Research Join to apply for the Senior Researcher - Machine Learning - Microsoft Research role at Microsoft Deep learning has only just … of the fundamental challenges in the molecular sciences with deep learning. For our lab in Cambridge, UK, or Amsterdam, NL we are seeking Machine Learning Researcher candidates at the intersection of chemistry and drug discovery. If you are passionate about this research area and believe you can make a … submitting your application, include your CV with a list of publications as an attachment. Responsibilities Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences. Design and develop new machine learning models and algorithms. Write code to run and evaluate large scale More ❯

Research Assistant/Associate in Machine Learning (Fixed Term) Join to apply for the Research Assistant/Associate in Machine Learning (Fixed Term) role at University of Cambridge Research Assistant/Associate in Machine Learning (Fixed Term) 1 day ago Be among the first 25 applicants Join … to apply for the Research Assistant/Associate in Machine Learning (Fixed Term) role at University of Cambridge We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This position … expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark Girolami and other members of the Cambridge Machine More ❯

a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work … within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a More ❯

We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded … expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark Girolami and other members of the Cambridge Machine … Learning Group ( ). The project offers also collaborations with other participants of the "AI Hub in Generative Models" (UCL , Oxford, Imperial, Edinburgh, Cardiff, Manchester and Surrey) and with its industrial partners. Key responsibilities include working on deep learning, probabilistic modelling, deep generative modelling, and graph neural networks. Additional More ❯

Responsibilities Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences. Design and develop new machine learning models and algorithms. Write code to run and evaluate large-scale ML experiments. Work with internal and external partners to deploy and evaluate models and … on a day-to-day basis with an international and interdisciplinary research team towards a common research goal. Qualifications Required: Track record in Deep Learning research, evidenced by a PhD or similar research experience in the field. Experience designing and optimizing new architectures and algorithms, and conducting experiments to … study their performance. Proficiency in Python software development, demonstrated by published software projects (e.g., GitHub). Experience in developing and implementing deep learning systems (e.g., in PyTorch or JAX). Preferred: Experience working with graph data, reinforcement learning, and/or generative models. Experience with molecular data More ❯

using techniques such as quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning frameworks like PyTorch. Experience building Deep Reinforcement Learning models. Experience with robotics and/or simulation. If you want to join a More ❯