Senior Applied Scientist

UnlikelyAI; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A technology company is seeking a Senior Applied Scientist in London to lead applied research in neurosymbolic AI. You will convert cutting-edge research into production-grade systems, collaborate with teams, and have a strong grounding in deep learning and Python. The position offers a hybrid working scheme with a small office near Holborn, competitive compensation, and share options.

Benefits

Generous share options

Hybrid working environment

Diverse and inclusive culture

Qualifications

• 2+ years applying deep learning to language generation.
• Experience with transformer models in production settings.
• Excellent mentoring and coaching skills.

Responsibilities

• Drive the end-to-end lifecycle of applied research projects.
• Convert research into production-grade language systems.
• Collaborate with teams to communicate complex ideas.

Skills

Deep learning expertise

Python programming

Machine Learning frameworks (Pytorch, Tensorflow)

Verbal and written communication

Collaborative working

Tools

ML frameworks (HF Transformers, JAX)

Git/Github

Cloud platforms

Job description

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At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position.

You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures.

What You'll Do

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.

What We're Looking For

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.

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.

Desirable

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.

Location

We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.

Compensation

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.

Equal Opportunities

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.