10 Reinforcement Learning Jobs in London

our customers. Every member, regardless of title or role, is encouraged to contribute creatively to our shared goals. About the Role As a Machine Learning Engineer , you will hold a key role within our team. You will design, develop, and deploy machine learning/deep learning models … s role extends beyond model creation to integrating these models into our production systems and optimizing their performance, emphasizing the practical application of machine learning solutions, with the collaboration with cross-functional teams. We are in search of entrepreneurial professionals who are commercially aware, enthusiastic about cutting-edge technologies … capable of flourishing in a fast-paced setting. Your Responsibility ● Advance our Autonomous AI Agent development, including designing, developing, and augmenting agents with machine learning/deep learning algorithms, LLMs and other models ● Track and investigate the latest machine learning ideas and concepts, rapidly prototype and experiment 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 »

Machine Learning Engineer £70-120k + benefits London Hybrid Why Join? AI/ML driven business Innovation is core to business success Global leader in this space with leading international orgs as customers Forge your career path, opportunity to follow leadership or senior IC positions Work with people … from across the globe Create and improve innovative products with a real world impact Responsibilities: Research, design, and implement machine learning algorithms and models to address business challenges and opportunities. Collect, preprocess, and analyze large datasets to extract meaningful insights and features. Develop and deploy scalable machine learning … scientists, mlops engineers and product managers to define requirements and deliver solutions that meet business objectives. Stay current with the latest developments in machine learning and related fields, and apply cutting-edge techniques to enhance our capabilities. Requirements: Solid understanding of machine learning concepts and techniques, including supervised more »

Data Scientist Permanent Position Working hours: full time is 35 hours a week. Reporting to: Machine Learning Lead Office: London docklands – 2 days per week Our permanent hybrid policy sees us all working at least four days across a fortnight in the office. The purpose of your role We … are scaling our Machine Learning Function and looking to recruit an experienced Data Scientist with proven track record of developing and deploying Machine learning solutions addressing business needs. In this role you will be asked to scale out our NLP and Gen AI capabilities in optimizing our business … contributing to the requirement definition, solution design and architectural designs. You’ll also be involved in sprint planning by defining and owning the machine learning backlog as well as providing estimates for your work. You’ll be working with the technology team and business stakeholders and will help to more »

researchers from various disciplines. Responsibilities : Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones. Model Training and Integration : Train and integrate … machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains. Engineering : Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and … positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with more »

researchers from various disciplines. Responsibilities : Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones. Model Training and Integration : Train and integrate … machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains. Engineering : Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and … positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years’ experience with more »

AI technologies. Qualifications: Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or related field. Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of edge computing concepts and hardware limitations. Familiarity with computer vision, natural language processing, or reinforcement learning is a plus. Excellent problem-solving skills and ability to work independently. Please contact me at chris.shephard@areti.io or DM me for more information on the role! 🌳🌳🌳 Areti Group – Climate positive tech recruitment 🌳🌳🌳 We’re on a mission to put people and the planet before profit, leaving more »

where necessary, extending the current state of the art in AI/ML in areas like generative AI, verifiable AI, neuro-symbolic AI and reinforcement learning. Take ownership of specific aspects of industrial R&D projects as needed. Contribute to developing commercial AI/ML proofs of concepts and … related business development activities. Requirements Broad, deep and hands-on experience with key AI/ML technologies including, but not limited to classical machine learning, deep learning, and data science: in terms of algorithms, data engineering, software tools and hardware. Experience carrying out fundamental research in a relevant … area is highly desirable. Demonstrable experience working with Python in the standard machine learning/deep learning stack, utilising software engineering principles. Experience with using cloud-based services for the development and deployment of machine learning models. Familiarity with the software stack including git, SQL, and Docker. 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 »

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 »