1 to 23 of 23 Permanent Reinforcement Learning Jobs in England

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 »

or tools. Excellent verbal and written communication skills Proficient in using MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. Experience with AWS Knowledge of Reinforcement Learning techniques. Unfortunately sponsorship is not provided for this role If you are interested please more »

create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices … and in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best practices more »

lab. Main responsibilities include but not limited to (Please note that applicants are not expected to fulfil all of these tasks single-handedly): Machine learning algorithm design including reinforcement learning, generative models etc. or optimization algorithm design including combinatorial optimization, operations research, etc. Conducting Algorithm theoretical analysis … Information security algorithm and protocol design; Building (statistical) learning theory; Artificial Intelligence System Design; Technical Paper Writing; Project Proposal Writing； We would like you to have: PhD or Master’s degree (research-based is preferred) in Computer Science, Mathematics, Physics, or related fields； Familiarity with artificial intelligence algorithms and 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 »

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 »

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 »

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 »

AI models and deployments - Ensure compliance with data privacy and security regulations - Stay up-to-date with the latest advancements in AI and machine learning As a Gas Processing AI Engineer, you will play a crucial role in developing, implementing, and maintaining artificial intelligence solutions that drive business growth … opportunities, design AI models, and deploy such models in the gas plants. The ideal candidate should have a strong background in AI and machine learning with hands-on programming and problem-solving skills. Minimum Requirements As a successful candidate, you must have a Bachelor's or Master's degree … of Hands-on experience in implementing successful AI projects in the Gas Processing sector - Strong programming skills in Python, TensorFlow, and PyTorch - Experience with reinforcement learning and generative AI (LLM) models - Experience with natural language processing (NLP) and AI Computer Vision - Excellent communication and leadership abilities Requirements: - Bachelor 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 »

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 »

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 »

our dynamic Data team and benefit from talking shop with our other data roles including; Data Scientists, Data Engineers, Analytics Engineers and our Machine Learning Engineer. The person we’re looking for A strong foundation in machine learning theory and practical experience, particularly in NLP, is essential for … We are also looking to push the performance boundaries of our new product as far as possible, so experience and knowledge on techniques like reinforcement learning and domain-specific knowledge in sales will be invaluable. Your responsibilities will include ensuring that our development adheres to industry best practices … and integrates state-of-the-art techniques to tackle complex challenges with innovative solutions. You’ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and more »

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 »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing … responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure … in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art more »

Science is pivotal to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing … for rent payment fluctuations. How can we cluster repair jobs to provide root cause insights and next best actions. Building recommendation systems, including testing reinforcement learning approaches, to support optimised rent collection Taking labelled data and supervised learning approaches, to generate optimal contact strategies for multi-channel … folks to work with - though we would say that! What qualifications and experience are we after? Ideally a Masters degree in Data Science, Machine Learning, Artificial Intelligence, or similarly related and quantitative discipline. Merit and above would be great. Circa 5+ years of serious commercial experience working on a 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 »