Machine Learning Research Engineer in London
Machine Learning Research Engineer

Machine Learning Research Engineer in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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Prima Mente

At a Glance

  • Tasks: Design and implement cutting-edge AI models to revolutionise biology and medicine.
  • Company: Join Prima Mente, a pioneering company focused on brain health and innovation.
  • Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
  • Why this job: Make a real impact on healthcare while working with top-tier talent in AI.
  • Qualifications: Experience in machine learning, data pipelines, and algorithm optimisation.
  • Other info: Dynamic culture that values curiosity, excellence, and personal development.

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

Join to apply for the Machine Learning Research Engineer role at Prima Mente.

About Prima Mente

Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.

Role focus - Foundation Models for Biology

You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi‑omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology.

Key Tasks

  • Implement high‑performance ML algorithms optimised for massive‑scale, ensuring reliability, efficiency, and scalability.
  • Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes.
  • Refactor and scale prototype research code into clean, maintainable, and performant repositories suitable for production‑grade deployments.
  • Create high‑speed data processing workflows capable of efficiently handling large‑scale datasets to accelerate experimentation and model development.
  • Experimental design, prioritising high impact experiments with the highest signal:noise ratio.

Expected Growth

  • In 1 month you will be responsible for running initial experiments with state‑of‑the‑art machine learning models, reviewing and implementing cutting‑edge research papers, and optimizing existing code for efficiency and accuracy.
  • In 3 months you will directly own and have created a prototype model architecture, demonstrated significant algorithmic improvements, and contributed to scaling methods for large‑scale data ingestion and training.
  • In 6 months, you’ll have developed a high‑performance version of a foundation model, implemented key algorithmic optimizations that boost scalability and throughput, and published internal benchmarks demonstrating significant research impact.

Why Join Us

  • Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.
  • Innovation & Autonomy: Work at the forefront of AI and multi‑omics, with the freedom to propose and implement state‑of‑the‑art infrastructure solutions.
  • Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
  • Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

Who You Are

You want to redefine what’s possible at the frontier of AI and biology. We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others.

Ideal experience

  • Deep understanding of state‑of‑the‑art machine learning methodologies and proven experience in translating them into practical solutions.
  • Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency.
  • Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilisation.
  • Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing.
  • Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow), and familiarity with state‑of‑the‑art training and inference workflows.
  • Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful critical analyses.
  • Experience of building highly collaborative research teams.
  • Track record of working on hard problems for long periods of time.
  • High agency with the ability to jump on any task as needed.
  • Demonstrated experience training, optimising, and deploying large‑scale models (7B+ parameters).
  • Low level algorithm optimisation quantisation (8bit or lower) JIT compilation XLA/Mosaic/Triton/CUDA.
  • Hardware optimisation (GPU/TPU/HPU).
  • Finetuning optimisation (QLora, QDora).
  • Large scale data above 2T tokens.

Location

Based in San Francisco, US or London, UK. We support visa applications.

Culture Insight

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands‑on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organisational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible.

Our Values

  • Exceptional performance at exceptional pace: The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present.
  • Inquisitive discovery: We embrace curiosity and creativity. Every question is a path to a transformational breakthrough.
  • Radical candour: We practice unwavering honesty and transparency in all our challenges and interactions.
  • Purposeful individuality: Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one’s bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit.
  • Patient impact at scale: We have a steadfast commitment to improve the health and well‑being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Information Technology

Machine Learning Research Engineer in London employer: Prima Mente

At Prima Mente, we are dedicated to pushing the boundaries of AI and biology, offering a dynamic work environment where innovation thrives. Our culture fosters collaboration among talented professionals, providing ample opportunities for personal and professional growth while making a meaningful impact on global health. Located in vibrant cities like San Francisco and London, we support our employees with competitive benefits and a commitment to excellence, ensuring that every team member can contribute to transformative research that could change millions of lives.
Prima Mente

Contact Detail:

Prima Mente Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission at Prima Mente.

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

Machine Learning Methodologies
Distributed Computing Principles
Parallel Processing
Algorithmic Efficiency
Performance Optimisation
Memory Efficiency
Compute Resource Utilisation
Data Pipeline Design
Data Transformation
Modern ML Frameworks (e.g., PyTorch, JAX, TensorFlow)
Training and Inference Workflows
Communication Skills
Team Collaboration
Large-Scale Model Deployment
Hardware Optimisation (GPU/TPU/HPU)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Machine Learning Research Engineer role. Highlight relevant experience and skills that align with the job description, especially in ML methodologies and data processing.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and biology. Share specific examples of your past work that demonstrate your ability to tackle complex problems and drive impactful research.

Showcase Your Projects: Include links to any projects or repositories that showcase your skills in ML algorithms and data pipelines. We love seeing practical applications of your knowledge, so don’t hold back!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!

How to prepare for a job interview at Prima Mente

✨Know Your Algorithms

Make sure you brush up on the latest machine learning methodologies. Be ready to discuss how you've implemented high-performance ML algorithms in the past, and be prepared to explain your thought process behind optimising them for massive-scale applications.

✨Showcase Your Projects

Bring examples of your previous work, especially any projects involving large-scale data processing or foundational models. Highlight your role in these projects and how your contributions led to significant improvements or breakthroughs.

✨Communicate Clearly

Practice articulating complex ideas simply and effectively. You might be asked to explain why certain approaches succeed or fail, so being able to communicate your insights clearly will set you apart from other candidates.

✨Embrace Curiosity

Demonstrate your inquisitive nature by asking insightful questions about the company's current projects and challenges. This shows that you're not just interested in the role but also in contributing to the team's mission of impactful research.

Machine Learning Research Engineer in London
Prima Mente
Location: London
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