1 to 11 of 11 Reinforcement Learning Jobs in London

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a group … industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit more »

strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

growing software company of around 20 people based near Oxford & Bicester with an office in White City, London. We are leaders in developing Machine Learning & Digital Twin software for the Aerospace, Defence and Urban Air Mobility sectors. This role is a rare opportunity to join an expanding team with … projects where decisions can have a significant impact on project outcomes. You will be responsible for a wide variety of software engineering, including machine learning, digital twins and embedded software in the complete operation of autonomous drones, from logistics, drone setup and testing, mission configuration, launch, asset monitoring, capture … the software team in addition to leading it with your soft skills. This work will include software engineering using C++ on Linux for Machine Learning and Digital Twins, which operate on a range of drone assets, along with HTML5/JavaScript UI work as required. Requirements: You must be more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity more »

product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. … development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world more »

direct impact on the world. Frequently, you will be right at the heart of the state of the art in technical innovation, be it reinforcement learning, distributed systems etc. My client is very much in research mode, which gives engineers the freedom to try new things and voice more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; advanced degree preferred. Demonstrated success in designing and … delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business more »

direct impact on the world. Frequently, you will be right at the heart of the state of the art in technical innovation, be it reinforcement learning, distributed systems etc. Ultimately, I'm looking for engineers who are maybe tired of being a cog in a machine, with the more »

direct impact on the world. Frequently, you will be right at the heart of the state of the art in technical innovation, be it reinforcement learning, distributed systems etc.Ultimately, I'm looking for engineers who are maybe tired of being a cog in a machine, with the same more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: An education in Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the … insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability to more »

will play a key role in delivering products, starting with literature review, creating proof of concepts using cutting-edge technology including the latest Machine Learning techniques, collaborating with colleagues to implement and test your ideas, and helping deliver your solutions to production.The role is not limited to a specific … field, but our current areas of interest include NLP including NMT and Reinforcement Learning.As an Applied Scientist Lead working for Unlikely AI you will:Pair program and mentor other Applied ScientistsConvert cutting edge research into real products Design, build and experiment with cutting edge technologiesDrive the design, development, and … that is built and deployed in production systemsCommunicate complex solutions to colleaguesAnalyse & inspect large scale datasetsRequired:5+ years of hands-on experience in deep learning with 2 + years of experience managing technical teams.Demonstrable project planning experience and leading on this within a fast-growing, deeply technical environment. A more »