{"id":774851,"url":"https://alion.io/job/g-research-natural-language-processing-researcher","title":"Natural Language Processing Researcher","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":87,"open_postings":60,"ghost_share":0.133,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","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":75000,"max_usd":200000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-07-29T00:00:00Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-11-03T17:39:24Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":97},"description":"We 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\nG-Research is seeking a Natural Language Processing (NLP) Researcher to join a successful, experienced and growing research group.\nAlongside NLP experts and quantitative researchers, you will work on very large text corpora, using the latest NLP techniques and state of the art Large Language Models (LLM), with the goal of identifying features of real time text feeds that can we used to predict the future behaviour of financial markets.\nWho are we looking for?\nThe ideal candidate will have the following skills and experience:\nExpert knowledge of Natural Language Processing or a related area of machine learning, through academic or industry experience (or both)\nFamiliarity with the many recent, exciting advances in NLP and generative AI, in particular adapting LLMs to domain-specific tasks, such as Domain Adaptive PreTraining, Instruction Fine Tuning, quantisation and Low Rank Adaptation\nExperience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction\nA proven track record of research excellence and a deep understanding of machine learning principles, algorithms and statistical methods.\nExcellent problem-solving skills and the ability to work both independently and as part of a team.\nStrong programming skills in Python and experience with machine learning libraries such as PyTorch, vLLM or similar are a prerequisite\nYou will have, or be working towards gaining, a Masters or PhD degree in NLP or a related quantitative subject, such as machine learning, computer science, mathematics, statistics, physics or engineering\nPublication at leading NLP conferences such as ACL and EMNLP, and ML conferences, such as NeurIPS and ICML, are highly desirable\nAn interest in applying NLP concepts to real world financial data and implementing theoretical insights as working code\nStrong communication skills, both written and verbal, are a plus\nPrevious financial experience is not required, although interest in finance and the motivation to rapidly learn more is a prerequisite for working here\nWhy should you apply?\nHighly competitive compensation plus annual discretionary bonus\nLunch provided (via Just Eat for Business) and dedicated barista bar\n35 days’ annual leave\n9% company pension contributions\nInformal dress code and excellent work/life balance\nComprehensive healthcare and life assurance\nCycle-to-work scheme\nMonthly company events\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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