Quantitative Researcher | Sports/Gaming Software Scale-Up | LondonHarmonic are delighted to be working with an exciting Sports/Gaming software Scale-up in their search for a Quantitative Researcher to enable further expansion and development. This is a great time to join the business as they enter an exciting period of growth.The RoleIn this position you will work within a team whose primary goal is improving the predictive power of models using fundamental data. This team’s role is of utmost importance as the quality of models plays a huge role in the company’s success. You will work closely alongside the CEO and CTO on the full life cycle of designing, testing and implementing ML models in python whilst continually improving existing solutions. Due to the small start-up nature of the company this role favours someone hands on who likes to be involved in all aspects of system design, creation and implementation.You will be part of a close-knit team who are genuinely passionate about the work they do. A huge emphasis is placed on providing opportunities for professional development, mentorship, and advancing your career while working alongside researchers and engineers. As the business is redefining the future of AI, you will be part of an exciting movement, making impactful contributions in a supportive and dynamic environment.Responsibilities:Work closely with the CEO, CTO and Team leadDesign, test and implement new machine learning modelsExplore and apply advanced techniques such as deep learning, reinforcement learning, unsupervised learning, and transfer learning.Develop and improve the existing learning modelsResearch methods for specific problem-solving scenariosDevelop feature engineering techniques and optimize data pre-processing pipelines.Essential Skills:Broad experience in Machine Learning and Statistics, with the ability to select the right approach for novel problems and understand the trade-offs involvedPragmatic and practical approach to research and development, with experience moving ideas from concept to productionSkilled in using a variety of ML software frameworks in PythonComfortable reading academic papers to inspire and form new research ideasBonus ExperienceRelevant qualifications in Computer Science, Mathematics, Statistics, Machine Learning, or related fieldsExperience in software developmentExpertise in optimizing execution speed using Python, Numpy, and CythonExperience Researching state of the art models in industry or academiaProficiency in Unix scripting or experience with Git or other version control systemsLocation: Central LondonSalary: £100,000- £180,000 dependent upon experienceBonus: Generous benefits and discretionary bonusIf this is something of interest, please get in touch at or please apply online.Due to the high volume of applications, we are receiving, if you have not heard back from us, please assume your application was unfortunately unsuccessful on this occasion.At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation.