1 to 10 of 10 Permanent Reinforcement Learning Jobs in London

field, 3+ years of demonstrated experience in a wide variety of ML methods with a focus on a specialization such as dexterous manipulation with reinforcement learning or imitation learning, computer vision for robotics, or natural language processing, 4+ years of experience in software engineering, with a focus … as CUDA, OpenMP, SSE, etc, Experience with Atlassian tools; Jira, GitLab, Confluence, Experience taking ML models to production, Hands-on experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc, Experience with cloud platforms (e.g. AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark … highly desirable, Publications in leading AI, ML or robotics conferences, Strong proficiency in programming languages such as Python or C++, Extensive knowledge of machine learning techniques and algorithms, including but not limited to supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing more »

you, we can't wait to meet you! The Role As a Data Scientist you will: Train and deploy state-of-the-art machine learning & reinforcement learning models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python … and develop Adopt modern data science best-practice Required Skills A numerate degree Excellent scripting and programming ability in Python Experienced in applying machine learning techniques (e.g. xgboost, regression, decision trees) Experience in an area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc. more »

Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We re here to identify new market opportunities, create a company … hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving. Role/Responsibilities: The Assc Dir-Machine Learning Eng will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by … cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications. Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications. Stay up to date with the latest developments in the field of 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 »

a sneak peek at our culture, find us on Instagram: @optimizely Introduction Our Data Science team harnesses big data, natural language processing, and machine learning to help create next generation products for Optimizely s Experimentation, CMS, e-commerce, and data platforms. This team emerged as a result of the … between data-driven experimentation and AI. This role is within a team whose primary focus lies in the following areas: Natural Language Processing, Machine Learning, and Recommendation Systems. Our stack employs a variety of technologies, including (i) code written in Python, Scala, and TypeScript, (ii) data pipelines using Spark … Luigi, Kubernetes, and Terraform, (iii) prototyping and deploying Machine Learning solutions using Pandas, Scikit-learn, and Dask. Job Responsibilities As a Senior Machine Learning Engineer, you will play a pivotal role in developing and implementing advanced ML systems that drive our company's success. In this role, you more »

smart decision-making in our business. As a key member of our Pricing and Allocation team, you will work closely with data analysts, machine learning engineers, and other data scientists, while also collaborating with business stakeholders and market specialists on a daily basis. YOUR DAILY ADVENTURES WILL INCLUDE: Work … to identify, understand, structure, and solve complex optimization and allocation problems within the fast-moving urban mobility sector. Develop and implement cutting-edge deep learning models, with a particular focus on dynamic pricing strategies and efficient resource distribution. Collaborate with machine learning engineers to deploy sophisticated models into … production. Strive to grow and share your knowledge within the team, particularly in deep learning and deep reinforcement learning. Embody data science best practices and thrive on mentoring your peers, enhancing the collective expertise of our team. Be a champion of FREE NOW Data Science for both internal more »

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard … data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental more »

complete knowledge of computer software, hardware, and networks. They will be responsible for designing, organizing, modifying, and supporting our company s IT infrastructure. Machine Learning Engineers build and prioritize backlog for future machine-learning enabled features to support client business processes. They are working with leadership to identify … develop and architect AI solutions using ML and GenAI. Developing and promoting standards across the community. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using open-source technologies. Key Responsibilities Working with our teams … chatbot and recommender systems. Implement existing Large Language Models such as GPT, LLaMA, LaMDA, etc. Refine Large Language Models via prompt engineering, fine-tuning, reinforcement learning, or transfer learning. Discover and formulate business problems and create data science solutions. Develop prototypes for new data product ideas. Design and more »

Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a … companies in the entertainment industry to significantly increase profit margins. You ll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You ll likely come from a strong quantitative degree background in Science or Maths and have worked 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 »