---
title: 'Senior Applied Scientist at Unlikely'
canonical: 'https://feeny.ai/job/senior-applied-scientist-unlikely-london-bra50b0qhqwb'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Applied Scientist at Unlikely

- **Company:** Unlikely
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-06-03
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/unlikely/33a8e4f1-872a-4c61-bc1d-aea10caaac87

## Job description

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.

Why Join Us?

Team – You’ll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride.

Vision – Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning — and you’ll be instrumental in shaping that.

Tech – Our technology is truly novel. You’ll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand.

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.

Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.

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.

## About Unlikely

## Company Overview
- **One-liner**: Unlikely (UnlikelyAI) is a London-based deep tech startup building a neurosymbolic AI platform that combines neural networks with symbolic reasoning to deliver controllable, auditable, and hallucination-free AI for real-world decision-making.
- **Entity Type**: Private (Seed stage; raised $20.3M seed round in 2022 led by Octopus Ventures and Amadeus Capital Partners)
- **Headquarters**: London, United Kingdom (with an additional office in Cambridge)
- **Founded**: 2018
- **Founders**: William Tunstall-Pedoe FREng (also known for creating Amazon Alexa after his previous startup Evi was acquired by Amazon)

## Core Business
- Primary industry: Artificial Intelligence / Deep Tech / Machine Learning
- Target customers: B2B, focusing on enterprise sectors such as financial services, insurance, and other industries requiring high-stakes, trustworthy AI decisions.
- Mission: “To create a world where highly intelligent automated systems enable humanity to flourish and benefit us all.”

## Products & Services
- **Neurosymbolic AI Platform**: The core offering – a platform that integrates neural networks (like LLMs) with symbolic (algorithmic) reasoning. Designed to eliminate hallucinations, provide full audit trails, and allow human control over AI decisions. Suitable for regulated industries.
- **Crossword Genius**: An earlier AI-powered mobile app that uses machine vision and AI to solve cryptic crosswords, demonstrating the company’s neurosymbolic capabilities.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (latest total funding $21.8M)
- **Key Metric**: Annual Revenue of $1.2M (estimated by LinkedIn); Total Funding of $21.8M across two rounds (Angel round 2020: $1.4M; Seed round 2022: $20.3M)
- **Notable Investors/Partners**: Octopus Ventures, Amadeus Capital Partners (lead seed investors); Lloyds Banking Group (strategic partnership announced 2025)
- **Growth Signals**: 225% employee growth in the past 12 months (per Welcome to the Jungle); 5 active job postings as of mid-2026; recent leadership hires in 2024 to revitalise strategy; partnership with a major UK bank.

## Competitive Advantages
- **Unique neurosymbolic approach** that directly addresses LLM hallucinations, offering explainability and auditability – a critical differentiator for regulated industries.
- **Founder’s pedigree**: William Tunstall-Pedoe was instrumental in building Amazon Alexa, giving the team deep AI product experience.
- **Strong IP and focus on safety**: The platform is designed for “controllable, auditable, and hallucination-free” AI, appealing to enterprises that cannot tolerate black-box outputs.

## Strategic Focus
- Expanding enterprise adoption in financial services and insurance through partnerships (e.g., Lloyds Banking Group).
- Scaling the engineering and applied science teams to accelerate product development.
- Continuing to refine the neurosymbolic platform for high-stakes decision-making use cases.

## Why Work Here
- **Culture**: Company values emphasise “Product Magic, Invention and Obsession”, “Truth and Dissent”, “Impact and Big Thinking”, and “Ownership”. The team is described as welcoming, challenging, and fun.
- **Work model**: Hybrid working (London HQ with a Cambridge office; some US-based roles).
- **Benefits**: Pension, 25 days annual leave + bank holidays, tax-efficient EMI share options, private health care, enhanced parental leave, regular socials and offsites.
- **Diversity**: 32% female employees (according to Welcome to the Jungle).
- **Employee satisfaction**: 4.6/5.0 rating on LinkedIn (10 reviews), with high marks for culture (4.6) and career growth (4.4).
- **Impact**: Opportunity to work on cutting-edge AI safety technology with a team that includes veterans from Amazon, Google, and Speechmatics.

## Sources
1. [linkedin.com](https://uk.linkedin.com/company/unlikely-ai)
2. [cbinsights.com](https://www.cbinsights.com/company/unlikely)
3. [welcometothejungle.com](https://app.welcometothejungle.com/companies/UnlikelyAI)
4. [jobera.com](https://jobera.com/employer/unlikely/)
5. [unlikely.ai/careers](https://www.unlikely.ai/careers)

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