National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN (London Area)

Enigma
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Pytho[...]

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Pytho[...]

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Pyth[...]

Machine Learning Engineer

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN


​We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab assays.


This company specializes in developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment to creating significant positive global impact.


Requirements

  • Expertise in generative modeling:The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature).


  • Skilled in ML development:They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and production code. They have experience running models on cloud hardware and parallelizing data and models across accelerators.


  • Data engineering capabilities:The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction.


  • Passion for optimization:They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance.


  • Mission-driven and curious:Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability.


  • Adaptability in dynamic environments:They thrive in fast-paced settings, achieving goals efficiently and effectively.


Desired Qualifications

  • Experience in computational biology or protein design:Experience with ML-driven projects in biology is advantageous.


  • Natural science background:Academic training in fields like physics, biology, or chemistry is a plus.


Key responsibilities


Develop machine learning models with real-world applications (~90%):

  • Curate and manage training and evaluation data.
  • Design and implement ML evaluation metrics aligned with organizational goals.
  • Rapidly prototype generative models and perform detailed analyses of their performance.
  • Collaborate with researchers, engineers, and designers, maintaining a high-quality codebase.
  • Support the maintenance of compute and ML infrastructure.
  • Coordinate with biology teams for wet lab testing campaigns and conduct model inferences for biological target testing.
  • Incorporate feedback from wet lab results to refine and improve models.


Engage in self-development (~10%):

  • Stay updated on the latest ML research and advancements.
  • Develop a strong understanding of protein and cell biology.
  • Share knowledge by organizing and presenting in reading groups or at conferences.


💰 Excellent compensation - six figures+ & equity

📍 Hybrid Working – 3 days p/w onsite. Central London

📑 Permanent position


If you are interested in finding out more about this hire please reach out to for immediate consideration.


Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.