AI Research Engineer in London

AI Research Engineer in London

London Full-Time 130000 - 220000 £ / year (est.) No working from home possible
HASH

At a Glance

  • Tasks: Research and develop cutting-edge AI models and architectures for real-world applications.
  • Company: Join HASH, a pioneering AI lab with a mission to revolutionise decision-making.
  • Benefits: Competitive salary, equity options, learning budgets, and quarterly team retreats.
  • Other info: Work alongside industry leaders and contribute to impactful research.
  • Why this job: Be part of a fast-growing team shaping the future of AI in Europe.
  • Qualifications: Strong background in machine learning and hands-on experience with large models.

The predicted salary is between 130000 - 220000 £ per year.

About HASH

At HASH, we're building infrastructure to solve information failure and help everybody make the right decisions. Our open-source platform helps firms integrate both structured and unstructured information into knowledge graphs that support simulating, optimizing and automating processes. We’re building toward world models from a radically different perspective to most industry labs. If you want to work on ambitious, original research with the chance to influence both scientific direction and the company itself, we’d love to hear from you.

About the role

In the last 6 months we've seen significant growth and are now scaling fast. We're hiring exceptional AI researchers in London and Berlin to shape the next generation of foundation models in Europe, both developing new AI models and architectures in-house and post-training existing open-source base models. This is not a role focused only on applying existing models. You’ll work on both:

  • developing new model architectures in-house in support of deterministic simulation, and
  • post-training and adapting state-of-the-art open-source base models.

Requirements

  • Strong research track record in machine learning, deep learning, or foundation models: evidenced by research publications, open-source contributions, or other evidence of original technical work.
  • Deep understanding of modern model architectures, training dynamics, inference optimization, scaling, and evaluation: transformer, diffusion, and exotic model architectures, sequence modeling, multimodal learning, and generative modeling.
  • Hands-on experience training, fine-tuning, or post-training large models: in particular preference optimization, synthetic data, distillation, continual learning, or alignment.
  • Strong coding and experimental skills: ideally in Python (and/or Rust) and modern ML tooling.
  • Ability to move fluidly between research ideas and practical implementation: comfort quickly moving from concept to early-proof right through to release and productization.
  • High agency, strong taste, and excitement about building something category-defining from Europe: we're looking for researchers who are all-in.

What you'll work on

  • Research and develop novel model architectures for reasoning, representation learning, and world modeling.
  • Post-train and adapt open-source foundation models for high-performance real-world use cases.
  • Design, run, and analyze experiments across training, evaluation, and scaling.
  • Work across data, systems, and product to turn research into deployed capability.
  • Contribute to research direction, technical strategy, and long-term model roadmap.
  • Help define the culture and standards of a high-talent, research-driven founding team.

Why HASH

  • Work on first-principles AI research tied to a large and important real-world mission.
  • Join at a moment of rapid growth, with outsized scope and influence.
  • Help build a leading frontier AI lab in Europe with global ambition.
  • Work alongside founders who have previously built and exited businesses worth billions of dollars.
  • Be part of a team that moves fast, is enthusiastically open source, and is in it for the long-term.

Benefits

Our team have founded and sold billion-euro companies from scratch. We offer leading equity-weighted total compensation, including competitive salaries and tax-advantaged options. We meet together quarterly in-person for whole-team retreats, provide engineers with generous learning and tech budgets, and recognise and reward output. This role pays £130,000-£220,000 base/bonus + meaningful equity.

AI Research Engineer in London employer: HASH

HASH is an exceptional employer for AI Research Engineers, offering a unique opportunity to engage in groundbreaking research that directly impacts real-world decision-making. With a strong focus on innovation and collaboration, employees benefit from competitive salaries, generous equity options, and a culture that values original contributions and personal growth. Located in vibrant cities like London and Berlin, HASH fosters a dynamic work environment where talented individuals can thrive and shape the future of AI technology.

HASH

Contact Details:

HASH Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Engineer in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like HASH!

Show Off Your Projects

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like HASH.

Apply Directly through Our Website

When you find a suitable opening like AI Research Engineer at HASH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Research Engineer in London

Machine Learning
Deep Learning
Foundation Models
Research Publications
Open-Source Contributions
Model Architectures
Training Dynamics

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at HASH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HASH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at HASH

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at HASH!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.