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Machine Learning Researcher | Protein Engineering | Pre-seed startup

Machine Learning Researcher | Protein Engineering | Pre-seed startup

On site

London, United kingdom

£ 100,000 /year

Full Time

10-11-2025

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Skills

Leadership Research Training Machine Learning PyTorch TensorFlow Deep Learning

Job Specifications

Machine Learning Researcher / Potential for late-stage co-founder

Location: London – 5 days on-site

Type: Full-time, permanent

Salary: £70,000 - £100,000 + generous equity

About the Company

An early-stage AI–biotech startup based in central London is developing next-generation protein design technology - combining deep learning with in-house experimental validation.

Their work sits at the intersection of machine learning, protein engineering, and wet-lab biology, using large-scale protein language models (PLMs) to design synthetic enzymes with specific, real-world properties.

The team is small but well-funded, with both AI and wet-lab capabilities already in place. They’re now looking for a senior BioAI scientist to help drive forward their protein modelling efforts and shape the direction of their AI research.

The Role

You’ll take ownership of the company’s AI-driven protein design pipeline - working on:

Fine-tuning and deploying protein language models (PLMs) for de novo protein generation and optimisation
Integrating deep mutational scanning (DMS) data with PLM embeddings to improve predictive accuracy
Building and adapting MLDE (machine-learning–directed evolution) toolkits
Leading large-scale PLM pre-training efforts (~tens of billions of parameters)
Working closely with experimental biologists to validate model predictions in the lab

This is a hands-on role suited to someone comfortable writing code, training models, and steering early-stage research in a fast-moving environment.

What We’re Looking For

Required

Background in machine learning, computational biology, or bioinformatics (PhD or equivalent experience)
Strong experience in protein sequence modelling, representation learning, or generative modelling
Skilled in PyTorch / TensorFlow and modern transformer architectures
Exposure to protein engineering, PLM fine-tuning, or MLDE approaches
Able to bridge computational and experimental perspectives - and bring creative, independent ideas to the table

Why Join?

Opportunity to build the AI foundation of a company that already has its wet-lab validation infrastructure in place
Backed and funded, yet still small enough that your work will directly define the direction and outcomes of the company
A chance to shape long-term BioAI strategy, with potential to move into a future leadership or co-founding role

About the Company

We believe that advanced technology is paving the way to a more sustainable future. We believe in going the extra mile to provide our customers with a competitive edge. Since our inception in 2010, Cubiq has established a reputation for excellence in the delivery of high quality engineering talent to the most ground-breaking technology companies in the world. Cubiq methods are subtle, data-driven, and highly effective, which is how we have become widely recognised as leading experts within engineering and technology recr... Know more

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