Company Principles

• Commitment to diversity and inclusion
• Encouragement for everyone to be their authentic selves
• Non-discrimination in employment based on various factors

About the Role

Job Title: Senior Applied Scientist
Location: Hybrid (small office near Holborn tube station available)

Responsibilities

• Drive the end-to-end lifecycle of projects from identifying opportunities in literature to real-world production.
• Convert cutting-edge research in neurosymbolic AI into production-grade language generation systems.
• Design and experiment with hybrid neurosymbolic architectures.
• Lead applied research projects from ideation to deployment.
• Write high-quality, robust code integrating neural and symbolic components.
• Collaborate with scientists and engineers, articulating complex ideas clearly.
• Analyze large-scale datasets to support neural training and symbolic extraction.

Qualifications

• Deep learning expertise with 2+ years of industry experience in language generation, including working with Large Language Models.
• Experience with Python and ML frameworks such as Pytorch, HF Transformers, Tensorflow, JAX.
• Proven track record as an independent contributor capable of end-to-end development.
• Deep knowledge of machine learning fundamentals and cloud experience.
• Enthusiasm to learn and adapt to cutting-edge technologies.
• Excellent verbal and written communication skills with mentoring experience.
• Ability to work collaboratively in a fast-paced environment.

Desirable Skills

• Familiarity with Python libraries that encourage best practices (e.g., pytest, pylint, black).
• Experience with symbolic reasoning engines and their integration with neural networks.
• Strong technical writing skills evidenced by publications or blogs.
• Start-up experience.
• Proficiency with Git/Github.
• Experience working with cloud platforms for deploying hybrid AI systems.

Compensation

• Salary and generous share options through a tax-efficient EMI share option scheme.

Team Culture

• Join a world-class group of smart, collaborative individuals motivated by challenge.
• Fast-paced environment with support and enjoyment in the work.

Equal Opportunities

We are committed to creating a diverse team and do not discriminate based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status, or genetic information.