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- 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: Collaborative, low-ego environment with exciting growth opportunities.
- Why this job: Work at the forefront of AI, blending classical and modern techniques.
- Qualifications: Strong Python coding skills and experience with cloud infrastructure.
The predicted salary is between 70000 - 90000 £ 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 in London employer: UnlikelyAI
Contact Detail:
UnlikelyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Neurosymbolic AI Platform Engineer in London
✨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 lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects, make sure to highlight them during interviews. It’s a great way to demonstrate your coding chops and passion for AI.
✨Tip Number 3
Prepare for technical interviews by brushing up on your cloud infrastructure knowledge. We recommend practising coding challenges and system design questions that relate to building APIs and integrating classical and modern AI techniques.
✨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 to connect with us directly.
We think you need these skills to ace Senior Neurosymbolic AI Platform Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your deep coding skills in Python and any experience you have with cloud infrastructure. We want to see how your expertise aligns with the innovative AI solutions we're developing!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Software Engineer role. We love seeing candidates who take the initiative to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication that gets to the point. Remember, we’re looking for production-quality engineering, so let’s see that reflected in your writing!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at UnlikelyAI
✨Know Your Python Inside Out
Make sure you brush up on your Python 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.
✨Familiarise Yourself with Cloud Infrastructure
Since the role involves cloud infrastructure, it’s crucial to understand the platforms you’ve worked with. Be prepared to talk about your experience with deploying applications in the cloud and any specific tools or services you’ve used. This will show that you’re ready to hit the ground running.
✨Understand the Intersection of AI Techniques
UnlikelyAI is looking for someone who can navigate both classical and modern AI techniques. Brush up on key concepts and be ready to discuss how you’ve integrated these approaches in your work. This will highlight your ability to contribute to innovative solutions.
✨Embrace the Low-Ego Culture
With a focus on collaboration, it’s important to showcase your teamwork skills. Think of examples where you’ve worked effectively in a team, resolved conflicts, or contributed to a positive team dynamic. This will resonate well with their low-ego culture and show you’re a good fit.