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Talent Acquisition Partner @ Unlikely AI

At UnlikelyAI, we are building the future of AI: one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with classical symbolic technology to produce hallucination-resistant artificial intelligence for high-trust applications.

The Role

We’re looking for a Senior Applied Scientist to join our Applied Science team in a high-impact individual contributor role. You’ll help drive the end-to-end lifecycle of projects — from identifying opportunities in literature, through proof-of-concept, to production deployment.

You’ll convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems. This includes designing and experimenting with hybrid architectures that challenge current thinking in reasoning and planning, and leading applied research projects from ideation and literature review to prototyping and deployment.

Alongside this, you’ll write high-quality, robust code that integrates neural and symbolic components, and analyse large-scale datasets to support both neural training and symbolic extraction. Collaboration will be central: you’ll work closely with a team of scientists and engineers, articulating complex ideas clearly to both technical and non-technical audiences.

This is a hands-on role where you’ll balance scientific rigour with practical application, helping shape not only our research but also the products and systems that bring our novel approach to life.

What You’ll Do

In this role, you’ll take ownership of impactful applied science projects that push the boundaries of what’s possible:

• 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

We’re seeking someone who combines deep technical expertise with creativity, collaboration, and drive:

• Deep learning expertise with ~2+ years in language generation.
• Experience with LLMs, neurosymbolic integration, and knowledge representation.
• Strong Python skills and experience with ML frameworks (PyTorch, HF, TensorFlow, JAX).
• Demonstrable track record of end-to-end applied research.
• Collaborative and proactive in fast-paced environments.
• Experience with symbolic reasoning engines.
• Technical writing (publications, blogs).
• Familiarity with Git/GitHub and cloud deployment.

What’s in it for You

Joining UnlikelyAI means being part of a mission-driven team working on problems that truly matter:

• Work on original, high-impact research problems.
• Explore novel neurosymbolic approaches at scale.
• Join a team of world-class scientists and engineers.
• Be part of shaping a new paradigm in explainable AI.

Working at UnlikelyAI

We offer a range of benefits designed to support our team's wellbeing and work-life balance.

• We have a hybrid working arrangement, flexibly balancing working from home and office-based working
• Our office is located in Bloomsbury, approximately a five minute walk to both Tottenham Court Road and Holborn stations
• We provide free team lunches every Tuesday, Wednesday and Thursday
• We schedule a variety of optional social and extra-curricular activities
• We have an annual offsite, usually to an international location, where we can work and socialise in the sun

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research

• Industries

  Software Development

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