1 to 24 of 24 Permanent Reinforcement Learning Jobs

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 … fluent 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 »

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 »

Ivy Farm - Data Scientist (Statistics and Machine Learning) At Ivy Farm our mission is to create the world’s best guilt free and sustainable meat, it’s cultivated meat, just like real meat, only made differently - and were super excited by it. Were a humble community of 40+ technical … numbers - it's the key to unlocking ground breaking discoveries! Picture yourself at the forefront of innovation, harnessing the power of cutting-edge machine learning technologies to decode the mysteries hidden within cell culture experiments. You'll be building advanced ML models that seamlessly integrate internal and external data … re looking for a dynamic Data Scientist who will work alongside our R&D team to apply cutting-edge computation, data-driven methods, Machine Learning/Deep Learning approaches to accelerate our cell-cultivated meat programs by contributing to improving the design and engineering of novel mammalian cell 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 »

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 »

Are you a seasoned researcher or developer intrigued by cutting-edge AI and Machine Learning advancements? Join us as a Senior AI/ML Engineer, where you'll tackle intricate challenges and spearhead innovative solutions for our diverse clientele. As our Senior AI/ML Engineer, you'll lead … components within extensive development endeavors. You'll be hands-on, lending your expertise across a spectrum of AI/ML domains, including Computer Vision, Reinforcement Learning, and NLP. Your role will involve: Pioneering AI/ML R&D, with a focus on areas like computer vision, reinforcement learning, or NLP. Crafting innovative applications of AI/ML techniques, adept at adapting and implementing academic research. Proficiency in software engineering, navigating agile teams and delivering complex solutions with agility. In this role, you'll lead multiple engineering teams concurrently on AI/ML R&D ventures. more »

Pattern - Hybrid 2days per week in the Vitality London Office.Full time, 37.5 hours per week. Top 3 skills needed: Delivery of high-impact machine learning projects Stakeholder management and collaboration Identification of new project opportunities What this role is all about: At Vitality, data scientists develop and deploy machine … learning models that help us realise our core purpose and achieve our ongoing business objectives. Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases spanning a broad variety … new projects in an innovative environment thats focused on making our members healthier and enhancing and protects their lives. Key Actions Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection more »

ensure robustness in one of the most tedious and time-consuming areas of software development: writing unit tests. Their platform works completely autonomously, using reinforcement learning to write fully formed tests that are guaranteed to compile, run and find bugs. The role As a Customer Success Engineer, you 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 »

modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun 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 »

fertility, pregnancy and menopause. This is a fully remote position and the salary is between 50-75k. They are looking for a Machine Learning engineer who can lead the company’s AI R&D to leverage cutting edge research and incorporate emerging technologies into their NLP and conversational … AI solutions Essential skills 4+ years of industry experience in developing Machine Learning models and maintaining them in a production environment Solid understanding of Machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning and reinforcement learning. Experience with NLP and LLMs’ and … attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI environments, unit more »

Strategic Partnership Manager - AI Technology Smart Cities £60,000 - £75,000 OTE £130,000+ £850 a year Learning & Development Budget Additional Benefits This business has doubled its growth year on year since inception almost 9 years ago with major backing from investors who wholly believe that they are the … being transformed and brought into the 21st century with Smart Cities rapidly growing this role is sure to get your attention. The ground-breaking Reinforcement Learning techniques in the AI and through state of the art simulation models. By gathering data to feed this clever stuff through super more »

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer, you'll be … part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our team, you will … work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning 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 »

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 »

highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision trees (e.g. Catboost, XGBoost) —- Reinforcement learning —- Recommendation systems —- Large language models Able to train, tune and evaluate models and prepare them for production deployment Understanding and experience with … problems, contributes to discussion and helps refine technical requirements Delivers consistently under a typical collaborative framework (e.g. agile) Can explain complex statistical and machine learning concepts and their results in a clear way, through visualisations and data summarisation, including to non-technical audiences Through experience, research, and/or … best tools available; doesn't hack fragile things together for short-term speed or to avoid discussion Ideal/Bonus Points Insatiable thirst for learning and acquiring new knowledge, skills and experience Positive force in building up the team as we grow and develop into more senior positions Introduces more »

solutions for the benefit of consumers •Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications •Establish best AI practices and follow them across project portfolio 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 »

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: 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 »

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 »