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- Tasks: Drive impactful applied science projects in neurosymbolic AI and language generation.
- Company: Join UnlikelyAI, a mission-driven team tackling high-impact research problems.
- Benefits: Hybrid work, free lunches, social activities, and annual offsite trips.
- Why this job: Shape the future of explainable AI with cutting-edge research and collaboration.
- Qualifications: Deep learning expertise, strong Python skills, and experience in applied research.
- Other info: Diverse team culture encouraging authenticity and creativity.
The predicted salary is between 28800 - 48000 £ per year.
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.
- Excellent communication skills; proven mentoring ability.
- Collaborative and proactive in fast-paced environments.
Desirable:
- Experience with symbolic reasoning engines.
- Technical writing (publications, blogs).
- Start-up experience.
- 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
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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Senior Applied Scientist Applied Science employer: Unlikely Artificial Intelligence Limited.
Contact Detail:
Unlikely Artificial Intelligence Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist Applied Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your work in neurosymbolic AI and language generation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising your explanations of complex concepts. Be ready to articulate your thought process clearly, as you'll need to communicate with both technical and non-technical folks.
✨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.
We think you need these skills to ace Senior Applied Scientist Applied Science
Some tips for your application 🫡
Show Your Passion for Applied Science: When writing your application, let your enthusiasm for applied science shine through! Share specific examples of projects you've worked on that relate to neurosymbolic AI or language generation. We want to see your excitement and how you can contribute to our mission.
Be Clear and Concise: We appreciate clarity in communication, so make sure your application is easy to read. Use straightforward language and avoid jargon where possible. Highlight your key achievements and skills that align with the role, making it easy for us to see why you're a great fit!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior Applied Scientist role. Mention your experience with deep learning, Python, and any relevant frameworks like PyTorch or TensorFlow. Show us how your background aligns with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture while you’re at it!
How to prepare for a job interview at Unlikely Artificial Intelligence Limited.
✨Know Your Stuff
Make sure you brush up on your deep learning expertise, especially in language generation. Be ready to discuss your experience with LLMs and neurosymbolic integration. Prepare examples of your past projects that showcase your ability to lead applied research from ideation to deployment.
✨Show Off Your Coding Skills
Since writing high-quality, robust code is a key part of the role, be prepared to talk about your Python skills and any experience you have with ML frameworks like PyTorch or TensorFlow. You might even want to bring along some code samples or projects to discuss during the interview.
✨Communicate Clearly
You’ll need to articulate complex ideas to both technical and non-technical audiences, so practice explaining your work in simple terms. Think about how you can convey your thought process and findings effectively, as strong communication skills are essential for collaboration.
✨Be Collaborative
This role is all about teamwork, so highlight your collaborative experiences. Share examples of how you've worked with scientists and engineers in the past, and be ready to discuss how you approach mentoring others. Show that you’re proactive and can thrive in fast-paced environments.
