Remote Software Engineer in Lisburn

Remote Software Engineer in Lisburn

Lisburn Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
F

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: Enjoy unlimited leave, private healthcare, and flexible working options.
  • Other info: Diverse team culture that values unique perspectives and encourages growth.
  • Why this job: Make a real impact in AI while working on exciting, high-stakes projects.
  • 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 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)
  • Commercial & Leadership Interview (60 minutes)

Our Recruitment Ethos:

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching
  • Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Remote Software Engineer in Lisburn employer: Faculty AI

At Faculty, we pride ourselves on being an exceptional employer, offering a unique blend of cutting-edge technology and a supportive work culture. Our commitment to employee growth is evident through our unlimited annual leave policy, private healthcare, and family-friendly flexibility, allowing you to thrive both personally and professionally. Join us in London or work remotely within the UK, and be part of a diverse team that values intellectual curiosity and aims to make a meaningful impact through responsible AI.

F

Contact Details:

Faculty AI Recruitment Team

StudySmarter Expert Advice🤫

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

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 Faculty AI 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 Faculty AI.

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 Faculty AI.

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 Faculty AI 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 Remote Software Engineer in Lisburn

Python
Rust
C++
Go
C#
Java
Cloud Computing

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 Faculty AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Faculty AI 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 Faculty AI

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 Faculty AI 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.