Hybrid Staff Applied Scientist

at Unlikely AI

• Job title: Staff Applied Scientist
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, London, United Kingdom

About the role

• Staff Applied Scientist at UnlikelyAI focusing on research in neurosymbolic AI and leading projects from ideation to deployment.

Responsibilities

• Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems.
• Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning.
• Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment.
• Write high-quality, robust code that integrates neural and symbolic components.
• Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences.
• Analyse and inspect large-scale datasets to support neural training and symbolic extraction.

Requirements

• Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation.
• Demonstrable experience leading in an individual contributor capacity—setting technical direction, influencing others, and delivering high-impact work without direct management responsibilities.
• Experience mentoring and coaching colleagues, offering guidance on both technical and professional development.
• Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX.
• Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models.
• Deep knowledge of machine learning fundamentals and cloud experience.
• Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with.
• Excellent verbal and written communication skills with a proven track record of mentoring and coaching others.
• Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders.
• Use of Python libraries that encourage best practices such as pytest, pylint, black etc.
• Experience with symbolic reasoning engines and integration with neural networks.
• Strong technical writing skills as evidenced by relevant publications or blogs.
• Start-up experience.
• Git/Github.
• Proficiency working with cloud platforms for deploying hybrid AI systems.

Benefits

• Compensation will be through salary and generous share options.
• The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.