Remote Software Engineer in Peterborough

Remote Software Engineer in Peterborough

Peterborough Full-Time Home office (partial)
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At a Glance

  • Tasks: Build innovative AI solutions for defence, collaborating with top tech leaders.
  • Company: Join Faculty, a pioneering AI company transforming industries 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 cutting-edge technology.
  • Qualifications: Experience in software development, especially with Python and modern deployment tools.

Why Faculty? 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. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the team: 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.

About the role: 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 in Peterborough 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 AI solutions 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.

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Contact Details:

Faculty AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Software Engineer in Peterborough

Tip Number 1

Get your networking game on! Connect with folks in the AI and software engineering space, especially those who work at Faculty or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

Tip Number 2

Prepare for those interviews like a pro! Brush up on your coding skills, especially in Python and any other languages mentioned in the job description. Practise system design and pair programming scenarios to show off your technical chops.

Tip Number 3

Show your passion for AI and its applications! During interviews, share your thoughts on how you can contribute to building responsible AI solutions. This will demonstrate your alignment with Faculty’s mission and values.

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 at Faculty.

We think you need these skills to ace Remote Software Engineer in Peterborough

Cloud Computing
Edge Computing
Machine Learning Engineering
Data Science
Software Engineering Best Practices
Python
Rust

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 shy away from detailing your hands-on experience with technologies like Docker, GitLab, and Kubernetes. 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 for a smoother application process. This way, we can ensure your application gets the attention it deserves and you can easily track your progress!

How to prepare for a job interview at Faculty AI

Know Your Tech Inside Out

Make sure you brush up on your technical skills, especially in Python and any other languages mentioned in the job description like Rust or C++. Be ready to discuss your past projects and how you've applied engineering best practices. This will show that you’re not just familiar with the tech but can also use it effectively.

Understand the Defence Sector

Since you'll be working in the Defence team, it's crucial to have a grasp of the unique challenges and requirements of this sector. Research recent developments in AI applications within defence and think about how your skills can contribute to ethical and reliable solutions.

Prepare for Pair Programming

Pair programming is a key part of the interview process, so practice coding with someone else. Focus on clear communication and collaboration, as this will help you demonstrate your ability to work well with others and tackle complex problems together.

Show Your Passion for AI

Faculty values intellectual curiosity and a desire to innovate. Be prepared to share your thoughts on the future of AI and how you envision its applications. This will help you connect with the interviewers and show that you're genuinely interested in contributing to their mission.