At a Glance
- Tasks: Collaborate with a world-class research team on neurosymbolic AI projects.
- Company: Leading AI company in Greater London with a focus on innovation.
- Benefits: Hands-on mentoring, hybrid work model, and dynamic work environment.
- Other info: Creative atmosphere with opportunities for professional growth.
- Why this job: Gain experience in cutting-edge technology while making a real impact.
- Qualifications: Programming skills in Python and a relevant STEM degree.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI company in Greater London is looking for a Junior Software Engineer. This role offers hands-on mentoring and the chance to work with cutting-edge neurosymbolic technology.
Responsibilities include:
- Collaborating with a world-class research team
- Gaining experience across the full software development lifecycle
The ideal candidate will have programming skills in Python and a relevant degree in a STEM field. The position is hybrid, with three days expected in the office, fostering creativity and innovation in a dynamic environment.
Junior Software Engineer - Neurosymbolic AI & Mentorship employer: Unlikely Artificial Intelligence Limited.
Join a pioneering AI company in Greater London, where innovation meets mentorship. As a Junior Software Engineer, you'll benefit from hands-on guidance while working with state-of-the-art neurosymbolic technology in a collaborative and dynamic environment. With a strong emphasis on employee growth and a hybrid work model, this role offers the perfect blend of professional development and creative freedom.
Contact Details:
Unlikely Artificial Intelligence Limited. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Software Engineer - Neurosymbolic AI & Mentorship
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Unlikely Artificial Intelligence Limited. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Unlikely Artificial Intelligence Limited..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Unlikely Artificial Intelligence Limited..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Unlikely Artificial Intelligence Limited. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Junior Software Engineer - Neurosymbolic AI & Mentorship
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Unlikely Artificial Intelligence Limited..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Unlikely Artificial Intelligence Limited. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Unlikely Artificial Intelligence Limited.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Unlikely Artificial Intelligence Limited. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
