1 to 3 of 3 Reinforcement Learning Jobs in England with Remote Work Options

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 »

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 »