Research Scientist (Machine Learning), London London

Apam 91
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning Research Scientist - PhD, NLP, LLM

Market Research Data Scientist

Senior Research Data Scientist

Senior Data Scientist - Operational Research & Optimisation

Senior Applied Scientist - Computer Vision

Senior Applied Scientist - Computer Vision

Research Scientist, Machine Learning, London

Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.

We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.

Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.

Your impact

As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it.

Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

Depending on your experience:

You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs

You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it.

What you will do

  • Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery.
  • Identify and create novel ML techniques and the required data to train.
  • Develop the architectures and training algorithms of machine learning models.
  • Analyse and tune experimental results to inform future experimental directions.
  • Implement and scale training and inference engineering frameworks.
  • Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.
  • Iterate collaboratively with scientists and domain experts, sharing your own domain experience.
  • Suggest and engage in team collaborations to meet ambitious research goals.
  • Depending on your experience:
  • Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise.
  • Provide developmental support to other ML research scientists.
  • Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.Cultivate a diverse and inclusive research culture.

Skills and qualifications

Essential

  • PhD or equivalent practical experience in a technical field.
  • A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.
  • Strong knowledge of linear algebra, calculus and statistics.
  • Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
  • A passion for applying ML research to real world problems.
  • Depending on your experience: project supervision, leadership, or management.

Nice to have

  • PhD in machine learning or computer science.
  • Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases.
  • Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics).
  • Experience working with biological or chemical data and biological or chemistry software.
  • Experience working with real-world datasets.
  • Experience with ML on accelerators.
  • Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.