{"id":127839,"url":"https://alion.io/job/isomorphic-labs-ml-research-engineer-london","title":"ML Research Engineer, London","company":{"id":48095,"name":"Isomorphic Labs","domain":"isomorphiclabs.com","url":"https://alion.io/company/isomorphic-labs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.375,"repost_share":0.125,"time_to_fill_p50_days":89,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","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":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Transformers","optional":false},{"name":"CUDA","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Triton","optional":true},{"name":"XLA","optional":true}],"status":"live","first_seen_at":"2025-07-04T10:54:30Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-26T20:38:47Z","board_verified":true,"closed_at":null,"days_open":479,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":478},"description":"Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.\nThe future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. \nCome and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.\nThe world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. \nAbout Iso\nIsomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.\nOur name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.\nWe have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.\nEvery day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.\nResearch Engineering (Machine Learning), London \nWe are looking for Research Engineers with different levels of experience - Senior, Staff, Principal or equivalent levels.\nYour impact \nThis is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.\nWorking in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it. \nYou will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.\nWhat you will do \nImplementation & Optimisation:\nTranslate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.\nExperimentation & Evaluation:\nDesign, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods. Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed)\nEvaluation & Inference:\nImplement algorithms and software to analyse and evaluate the performance of AI models.\nOptimising performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack\nAdvise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behavior.\nDeveloping specialised tools/frameworks/infrastructure to aid in the work above\nCollaboration & Knowledge Sharing:\nWork closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.\nInnovation & Impact:\nProactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.\nAbility to execute on independent engineering projects and software development towards research goals.\nSkills and Qualifications\nEssential\nIndustry Experience: 4+ years of experience working in reputable tech companies or research labs.\nAcademic Background: Advanced degree (Master’s or PhD) in a highly quantitative field (Computer Science, AI, Physics, Mathematics, etc.) or equivalent practical experience.\nML Fundamentals: Deep understanding of machine learning principles and techniques.\nFramework Expertise: Strong proficiency in deep learning frameworks such as JAX or PyTorch.\nModern Architectures: Hands-on experience building and working with modern model architectures (e.g., Transformers, GNNs, Diffusion Models).\nFull ML Lifecycle: Experience taking models from conception to production (scoping, data analysis, training, debugging, evaluation, benchmarking, and deployment).\nEngineering Excellence: Excellent software development skills with strong algorithms and data structures fundamentals.\nCollaboration & Communication: An excellent team player with strong written and verbal communication skills, able to collaborate seamlessly in a cross-disciplinary environment.\nAgency: Self-directed with an ability to navigate ambiguity, propose and own complex projects, learn the necessary context, and readily adapt to new domains and developments.\nNice to have\nProven Research Record: A history of scientific contributions (e.g., publications at NeurIPS, ICML, ICLR, CVPR) or significant contributions to state-of-the-art AI models.\nScale & Performance: Experience training models across distributed systems (multi-GPU/multi-node) and optimising training and inference performance (e.g., XLA, Triton, CUDA, Pallas).\nDomain Knowledge: A strong interest in, or knowledge of, biochemistry, computational biology, or drug discovery fundamentals.\nApplied ML: Experience developing models developed for real-world applications.\nInfrastructure: Solid technical infrastructure knowledge and experience with low-level engineering (e.g., GCP, Kubernetes, Docker)\n Culture and values\nWe are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. \nThoughtful\n Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.\nBrave\n Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.\nDetermined\n Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.\nTogether\n Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.\n Creating an extraordinary company\nWe believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.\nWe are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\n Hybrid working\nIt’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.\nPlease note that when you submit an application, your data will be processed in line with our privacy policy.\n>> Click to view other open roles at Isomorphic Labs","description_format":"text","description_chars":8709,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Drug Discovery","AI Research Labs","Drug Discovery AI"],"lifecycle":[{"event":"open","at":"2025-07-04T10:54:30Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; Global Business Mobility: Senior or Specialist Worker","cap_exempt":false,"checked_at":"2026-10-24T06:24:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.301,"p_room":0.28,"age_days":478,"expected_fill_days":89,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/isomorphic-labs-ml-research-engineer-london","json_url":"https://alion.io/job/isomorphic-labs-ml-research-engineer-london.json","meta":{"generated_at":"2026-10-26T22:18:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30201,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48095},"rest":"https://alion.io/mcp/rest/get_company?id=48095"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fisomorphic-labs-ml-research-engineer-london"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fisomorphic-labs-ml-research-engineer-london"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fisomorphic-labs-ml-research-engineer-london"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/isomorphic-labs-ml-research-engineer-london\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fisomorphic-labs-ml-research-engineer-london"}]}