Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative AI solutions and build a public API using Python.
- Company: Join UnlikelyAI, a forward-thinking tech company in Greater London.
- Benefits: Enjoy hybrid work, competitive salary, and a supportive team culture.
- Other info: Embrace a low-ego culture with opportunities for personal and professional growth.
- Why this job: Make an impact at the forefront of AI technology and collaborate with talented peers.
- Qualifications: Strong coding skills in Python and experience with cloud infrastructure required.
The predicted salary is between 60000 - 80000 £ per year.
UnlikelyAI is seeking a Senior Software Engineer in Greater London to join their team in developing innovative AI solutions. This role requires deep coding skills in Python and experience with cloud infrastructure, prioritizing production-quality engineering.
Candidates will contribute to building a public API and work on problems at the intersection of classical and modern AI techniques. The position supports a hybrid work policy, emphasizing collaboration and a low-ego culture.
Senior Neurosymbolic AI Platform Engineer employer: UnlikelyAI
Contact Detail:
UnlikelyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Neurosymbolic AI Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those at UnlikelyAI. A friendly chat can sometimes open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects, make sure to highlight them. It’s a great way to demonstrate your coding chops and passion for AI.
✨Tip Number 3
Prepare for the interview by brushing up on both classical and modern AI techniques. Be ready to discuss how you can contribute to building that public API and tackle real-world problems.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Neurosymbolic AI Platform Engineer
Some tips for your application 🫡
Show Off Your Coding Skills: Make sure to highlight your deep coding skills in Python. We want to see examples of your work, so don’t be shy about sharing your projects or contributions that showcase your expertise!
Cloud Infrastructure Experience is Key: If you've got experience with cloud infrastructure, let us know! Detail any relevant projects or roles where you’ve worked with cloud technologies, as this is super important for the role.
Emphasise Collaboration: Since we value a low-ego culture and collaboration, share experiences where you’ve worked well in a team. We love seeing how you contribute to a positive team dynamic!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at UnlikelyAI
✨Master Your Python Skills
Make sure you brush up on your Python coding skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in AI. Practising coding challenges can also help you demonstrate your proficiency.
✨Know Your Cloud Infrastructure
Since this role involves cloud infrastructure, it’s crucial to familiarise yourself with the specific platforms mentioned in the job description. Be prepared to talk about your experience with cloud services and how you've implemented them in previous projects.
✨Understand Neurosymbolic AI
Dive into the concepts of classical and modern AI techniques, particularly neurosymbolic AI. Being able to articulate how these approaches intersect and how they can be applied in real-world scenarios will show your depth of knowledge and enthusiasm for the field.
✨Embrace the Low-Ego Culture
UnlikelyAI values collaboration and a low-ego culture, so be ready to discuss how you work in teams. Share examples of how you've contributed to group projects and how you handle feedback. This will demonstrate that you're a team player who fits well with their company culture.