Staff Applied Scientist Applied Science

Staff Applied Scientist Applied Science

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead cutting-edge AI projects, mentor colleagues, and drive innovative research.
  • Company: Join UnlikelyAI, a pioneer in reliable and transparent artificial intelligence.
  • Benefits: Hybrid work, free lunches, social activities, and international offsite trips.
  • Why this job: Shape the future of neurosymbolic AI and make a real impact.
  • Qualifications: Deep learning expertise, mentoring experience, and strong Python skills.
  • Other info: Collaborative culture with opportunities for creativity and professional growth.

The predicted salary is between 43200 - 72000 £ per year.

Overview

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 visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities — ideal for someone who combines deep technical expertise with a passion for helping others grow.

You’ll help drive the end-to-end lifecycle of projects: from identifying opportunities in the latest research, through proof-of-concept, to production deployment. 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.

This role blends technical leadership with hands-on research. You’ll set direction, influence others, and lead by example, all while mentoring colleagues and helping define best practices for the field.

What You’ll Do

As a Staff Applied Scientist, you’ll set the standard for high-impact applied research:

  • Convert cutting-edge research in neurosymbolic AI into 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 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.

  • Mentor and coach colleagues, offering guidance on both technical and professional development.

What We’re Looking For

We’re seeking an experienced applied scientist who combines depth in ML with leadership as an individual contributor:

  • Deep learning expertise with significant industry experience, including ~2+ years applying it to language generation.

  • Experience with LLMs, neurosymbolic integration, and knowledge representation.

  • Demonstrable success leading as an individual contributor — setting technical direction, influencing peers, and delivering high-impact work without direct management responsibilities.

  • Proven experience mentoring and coaching colleagues.

  • Strong Python skills and experience with ML frameworks such as PyTorch, HF Transformers, TensorFlow, or JAX.

  • Track record of end-to-end applied research and deploying transformer models.

  • Deep knowledge of machine learning fundamentals and cloud deployment.

  • Excellent communication skills with the ability to influence technical and non-technical stakeholders.

Desirable

  • Use of Python libraries that encourage best practices (pytest, pylint, black).

  • Experience with symbolic reasoning engines and integration with neural networks.

  • Strong technical writing skills (publications, blogs).

  • Start-up experience.

  • Git/GitHub proficiency.

  • Experience with cloud platforms for deploying hybrid AI systems.

What’s in it for You

This role gives you the opportunity to shape both our science and our culture:

  • Work alongside a world-class group of smart, collaborative people who thrive on challenge.

  • Help shape a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning.

  • Explore original ideas, tackle unsolved problems, and define best practices in an environment where creativity and rigour go hand in hand.

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

Equal Opportunities

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.

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Staff Applied Scientist Applied Science employer: Unlikely Artificial Intelligence Limited.

At UnlikelyAI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model allows for flexibility, while our Bloomsbury office provides a vibrant environment just minutes from key transport links. With a strong emphasis on employee growth through mentorship and a commitment to diversity, we empower our team to explore groundbreaking ideas in neurosymbolic AI, all while enjoying benefits like free team lunches and annual offsite retreats.
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Contact Detail:

Unlikely Artificial Intelligence Limited. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Applied Scientist Applied Science

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to neurosymbolic AI or language generation. This will give you an edge and demonstrate your hands-on experience to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both technical and non-technical audiences.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at UnlikelyAI.

We think you need these skills to ace Staff Applied Scientist Applied Science

Deep Learning Expertise
Neurosymbolic AI
Language Generation
Python Programming
ML Frameworks (PyTorch, HF Transformers, TensorFlow, JAX)
End-to-End Applied Research
Cloud Deployment
Technical Leadership
Mentoring and Coaching
Communication Skills
Data Analysis
Technical Writing
Git/GitHub Proficiency
Symbolic Reasoning Engines

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how your passion aligns with our mission of building reliable and transparent AI. Share any personal projects or experiences that highlight your dedication to the field.

Highlight Your Technical Expertise: Make sure to showcase your deep learning expertise and experience with LLMs and neurosymbolic integration. We’re looking for someone who can lead by example, so don’t hold back on detailing your technical skills and past projects that demonstrate your capabilities.

Emphasise Mentoring Experience: Since this role involves mentoring and coaching, it’s crucial to highlight any experience you have in guiding others. Share specific examples of how you've helped colleagues grow, whether through formal mentorship or collaborative projects.

Keep It Clear and Concise: While we love detail, clarity is key! Make sure your application is well-structured and easy to read. Use straightforward language to explain complex ideas, as you'll need to communicate effectively with both technical and non-technical audiences.

How to prepare for a job interview at Unlikely Artificial Intelligence Limited.

✨Know Your Neurosymbolic AI

Dive deep into the specifics of neurosymbolic AI and its applications. Be ready to discuss how you can convert cutting-edge research into practical solutions, as this is a key focus for the role.

✨Showcase Your Leadership Skills

Prepare examples that highlight your experience in leading projects and mentoring others. This role requires someone who can influence peers and set technical direction without direct management, so be ready to share your success stories.

✨Demonstrate Technical Proficiency

Brush up on your Python skills and be familiar with ML frameworks like PyTorch and TensorFlow. You might be asked to solve coding problems or discuss your experience with deploying transformer models, so come prepared!

✨Communicate Clearly

Practice articulating complex ideas in a way that’s understandable to both technical and non-technical audiences. This will be crucial in your role, especially when collaborating with diverse teams and stakeholders.

Staff Applied Scientist Applied Science
Unlikely Artificial Intelligence Limited.
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