The world will be unrecognisable in 5 years. Machinelearning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machinelearning compute protocol that translates machinelearning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible toall of humanitythrough a free market. Our Principles: AUTONOMY Don't ask for permission - we have a constraint culture More ❯
At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring for MachineLearning Researchers within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements … on our models directly impact company profitability. You will work closely with the CEO, CTO, and Team Lead to design, test, and implement new machinelearning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects … have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of MachineLearning and core statistics is very important for this role and ideally you'll have experience in doing research on cutting-edge models either in industry or academia. More ❯
We are hiring for a MachineLearningResearcher to join its growing R&D function. This is a unique opportunity to apply cutting-edge machinelearning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You’ll collaborate with cross-functional teams to help shape next-generation tools and approaches for analysing … benefits including performance bonuses, private healthcare, and a generous pension scheme A stunning campus location with landscaped surroundings and a strong mission-led culture Your Responsibilities: Develop and apply machinelearning models to advance molecular sensing and biomolecule modelling Collaborate closely with scientists and engineers to drive innovation across sequencing technologies Create and optimise tools tailored to nanopore More ❯
At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring Graduate MachineLearning Researchers for our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements … on our models directly impact company profitability. You will work closely with the CEO, CTO, and Team Lead to design, test, and implement new machinelearning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects … have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of MachineLearning and core statistics is very important for this role. Knowledge of sports betting or horse racing, which this team focuses on, isn't required. We are a More ❯
develop and test your ideas with real-world data in an academic environment. Who are we looking for? The ideal candidate will have: • Either a post-graduate degree in machinelearning or a related discipline, or commercial experience developing novel machinelearning algorithms. We will also consider exceptional candidates with a proven record of success in … online data science competitions, such as Kaggle • Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference • Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work on our data so you will need to understand how to develop your own models … to-work scheme • Monthly company events . Company: G-Research Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , MachineLearning , NLP , United Kingdom More ❯
a top-tier quantitative firm. International Talent: Yes, international applicants are encouraged. These roles are for a professional with a global perspective, ready to apply their sophisticated expertise in machinelearning to London’s prestigious financial markets. Are you interested in joining environments where your research will directly influence strategies with a substantial AUM? Individuals who are seeking … the future of quantitative and discretionary trading should take this opportunity seriously. 🔷 The Profile – Your Expertise We’re looking for professionals with a global perspective, skilled in applying advanced machinelearning techniques to financial data. They have a demonstrable history of developing and deploying sophisticated models in institutional settings, with deep expertise in risk management and the ability … explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in project management within formal, institutional frameworks. Technical Prowess: Fluency in Python with strong command of machinelearning libraries. Familiarity with production-level code, version control (e.g., Git), and high-performance computing environments. Contributions to the development of systematic trading strategies that have been successfully More ❯
a top-tier quantitative firm. International Talent: Yes, international applicants are encouraged. These roles are for a professional with a global perspective, ready to apply their sophisticated expertise in machinelearning to London’s prestigious financial markets. Are you interested in joining environments where your research will directly influence strategies with a substantial AUM? Individuals who are seeking … the future of quantitative and discretionary trading should take this opportunity seriously. 🔷 The Profile – Your Expertise We’re looking for professionals with a global perspective, skilled in applying advanced machinelearning techniques to financial data. They have a demonstrable history of developing and deploying sophisticated models in institutional settings, with deep expertise in risk management and the ability … explain technical complexities and risk profiles to portfolio managers and senior leadership. Expertise in project management within formal, institutional frameworks. Technical Prowess: Fluency in Python with strong command of machinelearning libraries. Familiarity with production-level code, version control (e.g., Git), and high-performance computing environments. Contributions to the development of systematic trading strategies that have been successfully More ❯