Machine Learning Research Engineer

3 weeks ago


United Kingdom Enigma Full time

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.

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., 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.


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


~ 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.


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.

Stay updated on the latest ML research and advancements.
Develop a strong understanding of protein and cell biology.
Excellent compensation - six figures+ & equity
Hybrid Working – 3 days p/w onsite. Permanent position

ai for immediate consideration.

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



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