2025-2026 AI/ML Research Fellow in London

2025-2026 AI/ML Research Fellow in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Dive into high-risk AI/ML research and tackle ambitious projects with lasting impact.
  • Company: Join a forward-thinking organisation focused on groundbreaking AI/ML applications.
  • Benefits: Competitive stipend, remote work flexibility, and support for conference travel.
  • Why this job: Make a real difference in AI/ML while collaborating with talented peers and mentors.
  • Qualifications: Open to all backgrounds; showcase your interesting work and passion for research.
  • Other info: Remote fellowship with opportunities for significant career growth and publication.

The predicted salary is between 36000 - 60000 £ per year.

12 places are open for the term, with a duration of 6 or 12 months at the applicant's option. The intent of the fellowship is to focus on high risk research: ambitious projects that may not produce results, but will have lasting impact if they work. We believe that publication in AI/ML has become overly biased towards short-term and iterative results, despite major gaps in our understanding of how to build optimal models.

The goal of these fellowships is to give awardees uninterrupted time to focus on harder open problems, with adequate compute, talented peers, and weekly 1:1 mentorship from senior researchers but without chasing specific metrics. You will be expected to spend about 80% of your time on your own research, and up to 20% of your time either assisting other fellows or participating in wider research programs at IMI. We focus largely on applied research and its applications to online security problems, but often publish and support frontier research aligned with our broader interests. Serving hundreds of millions of people gives us a unique perspective as to what works at scale.

Eligibility: prior fellows and research staff have come from disparate backgrounds, including early career researchers previously at MSR, FAIR, Mila, MPI, etc. and self taught mid career engineers transitioning into research. If you have done interesting work, that is enough. We do not discriminate on the basis of pedigree or age. You may reside anywhere in the world, excluding sanctioned jurisdictions. Please note: This will be a remote fellowship, aside from possible conference travel. We do not sponsor visas.

Deliverables: we do not have hard targets, but generally try to get 1-2 papers with code done in a year, targeting NeurIPS, ICML, ICLR, etc. At the end of your fellowship, if the threshold for publication at a conference or in a journal is unmet we will expect a final report, which may be published as a blog post.

Applying: send a brief bio / CV link via this page. Include 1) the topic you are interested in working on, 2) a few lines on any relevant prior work you've done, 3) your github / scholar / x links, 4) your desired start date, duration, and other obligations (if any) during that period, and 5) a brief analysis of one of the projects outlined on the page linked above. Each project we have listed intentionally includes some gaps or glosses. List the ones you see, and how you'd solve them. Alternatively, if you dislike the projects outlined under a particular topic, briefly write up your own idea and why it is more promising, along with your estimate of time and compute required.

Deadline: Admitting fellows in two cohorts. Deadlines for consideration: Oct 1 25, Feb 1 26. 3 week decision period. Rolling thereafter.

Compensation: competitive location-adjusted stipend, conference and travel support for conferences with accepted papers.

Selection criteria: novelty and importance, clarity of approach, feasibility given time/compute, alignment with topics. Panel review and one interview. Selection will be based solely on merit. IMI is an equal opportunity employer, and does not discriminate on the basis of age, disability, sex, orientation, race, religion or belief. We promote equality of opportunity for all, and welcome applications from anyone with talent, skills and potential.

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.

2025-2026 AI/ML Research Fellow in London employer: Intuition Machines, Inc.

IMI offers a unique opportunity for AI/ML researchers to engage in high-risk, impactful projects without the pressure of traditional metrics. With a focus on applied research and a supportive remote work culture, fellows benefit from weekly mentorship, collaboration with talented peers, and a competitive stipend, all while contributing to meaningful advancements in online security. This fellowship is designed for those who are passionate about tackling challenging problems and making a lasting impact in the field.
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Contact Detail:

Intuition Machines, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land 2025-2026 AI/ML Research Fellow in London

✨Tip Number 1

Network like a pro! Reach out to current or past fellows and researchers in the AI/ML field. A friendly chat can give us insights into the fellowship and might even lead to a recommendation.

✨Tip Number 2

Show off your passion! When discussing your prior work, make sure to highlight projects that align with high-risk research. We want to see your ambition and how you tackle complex problems.

✨Tip Number 3

Prepare for the interview! Brush up on your knowledge of the projects listed on the application page. We’ll be keen to hear your thoughts on gaps and how you’d approach them.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Make sure to follow the guidelines closely and include all the required info to stand out.

We think you need these skills to ace 2025-2026 AI/ML Research Fellow in London

AI/ML Research
Publication in AI/ML
Problem-Solving Skills
Data Analysis
Technical Writing
Mentorship
Collaboration
Remote Work
Project Management
Research Methodology
Critical Thinking
Adaptability
Creativity
Communication Skills

Some tips for your application 🫡

Craft a Compelling Bio: Start with a brief bio that highlights your unique background and experiences. We want to know what makes you tick, so don’t hold back on sharing your journey in AI/ML!

Showcase Your Relevant Work: When mentioning your prior work, be specific about the projects you've tackled. We’re interested in the interesting stuff you’ve done, so make sure to highlight any standout achievements or challenges you've overcome.

Dive into Project Analysis: Take the time to analyse one of the projects we've outlined. Identify gaps and propose your solutions. This shows us your critical thinking skills and how you approach complex problems, which is exactly what we’re looking for!

Apply Through Our Website: Make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important details. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Intuition Machines, Inc.

✨Know Your Research Inside Out

Make sure you can discuss your research topic in detail. Be prepared to explain the gaps you've identified in existing projects and how your approach could fill those gaps. This shows your depth of understanding and passion for the subject.

✨Showcase Your Unique Perspective

Since this fellowship values diverse backgrounds, highlight what makes your experience unique. Whether you're self-taught or have a traditional academic background, share how your journey has shaped your research interests and methodologies.

✨Prepare Thoughtful Questions

Interviews are a two-way street. Prepare insightful questions about the fellowship's structure, mentorship opportunities, and the types of projects currently being pursued. This demonstrates your genuine interest and helps you assess if it's the right fit for you.

✨Be Ready to Discuss Failures

Given the focus on high-risk research, be prepared to talk about past projects that didn't go as planned. Discuss what you learned from these experiences and how they will inform your future work. This shows resilience and a growth mindset.

2025-2026 AI/ML Research Fellow in London
Intuition Machines, Inc.
Location: London
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