At a Glance
- Tasks: Build cutting-edge AI solutions for defence, collaborating with top tech leaders.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the defence sector using advanced technology.
- Qualifications: Experience in software development, especially with Python and modern deployment tools.
The predicted salary is between 50000 - 70000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
We are looking for an ambitious Software Engineer to join our Defence team and help us push the boundaries of what’s possible in cloud and edge computing. In this individual contributor role, you will work alongside senior technical leaders to implement high-impact patterns and practices that elevate the quality of our technical delivery. This is an opportunity to operate at the intersection of Machine Learning Engineering and Data Science, applying elite engineering standards to solve complex, real-world problems that provide immediate value to our customers.
What you'll be doing:
- Building and extending critical components of client deliverables across diverse software domains.
- Delivering robust technical artefacts in both compiled and non-compiled languages to meet project goals.
- Implementing defined engineering patterns and practices specifically tailored for the Defence sector.
- Collaborating closely with MLE and Data Science teams to integrate and refine technical solutions.
- Applying rigorous software engineering best practices to enhance the scalability and quality of our codebases.
- Executing CI/CD processes and managing application deployments on Kubernetes and bare metal environments.
Who we're looking for:
- You have a proven ability to solve bounded technical problems and deliver robust, scalable technologies.
- You possess hands-on experience in application development with a solid understanding of system architecture.
- You are proficient in Python and have contributed to production codebases in Rust, C++, Go, C#, or Java.
- You have experience participating in complex technical projects, including pair programming and code reviews.
- You bring a genuine passion for understanding customer problems and delivering high-value solutions.
- You are comfortable working with Docker and GitLab to manage modern deployment pipelines.
The Interview Process:
- Talent Team Screen (30 minutes)
- System Design Interview (90 minutes)
- Pair Programming Interview (90 minutes)
Remote Software Engineer employer: Faculty AI
At Faculty, we pride ourselves on being at the forefront of AI innovation, offering a dynamic work environment that fosters intellectual curiosity and collaboration. Our commitment to ethical, human-centric AI not only empowers our employees to make a meaningful impact but also provides ample opportunities for professional growth within a supportive culture. With the flexibility to work remotely or from our London office, and the chance to engage in high-stakes projects within the Defence sector, joining our team means contributing to cutting-edge technology while enjoying a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer
✨Tip Number 1
Get to know the company inside out! Research Faculty's projects and values, especially in AI and Defence. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your technical skills before the interviews. Brush up on Python and any other languages mentioned in the job description. We recommend doing some mock coding challenges to get comfortable with the format.
✨Tip Number 3
Prepare questions for your interviewers. This shows your curiosity and engagement. Ask about their approach to ethical AI or how they tackle complex problems in the Defence sector. It’ll make you stand out!
✨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 proactive and serious about joining the team.
We think you need these skills to ace Remote Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Software Engineer in our Defence team. Highlight your experience with Python and any other relevant languages, as well as your understanding of system architecture.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of past projects or experiences that demonstrate your problem-solving skills and technical expertise.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with Docker, GitLab, and CI/CD processes. We want to see how you've applied these tools in real-world scenarios, so be specific about your contributions.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Faculty AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and any other languages like Rust or C++. Brush up on your knowledge of system architecture and be ready to discuss your past projects where you’ve applied these skills.
✨Prepare for System Design
Since there’s a system design interview, practice designing systems that are scalable and robust. Think about how you would approach real-world problems, and be prepared to explain your thought process clearly. Use diagrams if necessary to illustrate your ideas.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so be ready to discuss your experiences with pair programming and code reviews. Share examples of how you’ve worked with others to solve complex problems and how you’ve integrated feedback into your work.
✨Understand the Defence Sector
Familiarise yourself with the unique challenges and requirements of the defence sector. Be prepared to discuss how ethical AI can be applied in high-stakes situations and demonstrate your understanding of the importance of responsible technology.
