Benefits:

• Generous share options

• Tax-efficient EMI share option scheme

Experience Requirements:

• Deep learning expertise with significant industry experience

• c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation

• 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

Other Requirements:

• 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

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

Benefits:

• Generous share options

• Tax-efficient EMI share option scheme

Experience 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

Other Requirements:

• 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.

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