{"id":774841,"url":"https://alion.io/job/g-research-machine-learning-research-internship","title":"Machine Learning Research Internship","company":{"id":445185,"name":"G-Research","domain":"gresearch.com","url":"https://alion.io/company/g-research","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":21,"ghost_share":0,"stale_share":0.19,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":97},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false}],"status":"live","first_seen_at":"2026-07-31T00:00:00Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-26T00:30:11Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"Please only apply for one internship position, choosing the role that best matches your skills and interests. We'll consider your application across all of our research opportunities where appropriate.\nWe tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.\nFrom our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.\nJoin a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.\nTake the next step in your career.\nThe role\n10-week summer programme (21st June to 27th August 2027)\n09:00-17:30 working hours\nBased in Central London\nOver the course of 10 weeks, G-Research Summer Research Programme interns gain a unique insight into life as a Machine Learning (ML) practitioner at a leading quantitative finance research firm.\nOur full-time ML researchers use a wide range of tools and techniques in an applied setting, putting their expertise to use in direct, production-ready applications with immediate results. They have access to vast computing resources and are limited only by their imagination.\nAs an ML intern, you will have the opportunity to experience some of this as part of a 10-week programme working on a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.\nYou will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop, as well as access to senior staff who are leaders in their fields. Your internship will culminate in a final presentation of your research ideas to senior management.\nTaking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to the world of quantitative finance and allow you to explore the thriving city of London, while you get to know your fellow interns and colleagues through a full itinerary of fun social events.\nTop performers on the programme will be considered for full-time opportunities on completion of their studies.\nWho are we looking for?\nThe ideal candidate will, at a minimum, have experience in the following areas:\nA post-graduate degree in Machine Learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle. PhD level study is preferred\nExperience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference\nExcellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work with our data, so you will need to understand how to develop your own models\nStrong programming skills and experience working with Python, scikit-learn, SciPy, NumPy, Pandas and Jupyter\nPrevious experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here.\nWhy should you apply?\nHighly competitive compensation plus accommodation\nG-Research community with weekly intern activities\nLunch provided (via Just Eat for Business) and dedicated barista bar\n30 days’ annual leave pro-rated\nInformal dress code and excellent work/life balance\nCentral London office close to 5 stations and 6 tube lines\nG-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.\nWe want to ensure that applicants receive a recruitment experience that enables them to perform at their best. 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