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.
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 in Essex 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 in Essex
✨Tip Number 1
Get to know the company inside out! Research Faculty's projects, values, and their approach to AI. This will not only help you tailor your conversations but also 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 enthusiasm and helps you gauge if Faculty is the right fit for you. Ask about their current projects or how they approach ethical AI in defence.
✨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 gives you a chance to showcase your interest in joining our innovative team.
We think you need these skills to ace Remote Software Engineer in Essex
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 abilities 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 stay updated on your application status.
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 like Rust or C++. Be ready to discuss your past projects and how you've tackled complex problems. This will show your depth of knowledge and passion for software engineering.
✨Understand the Defence Sector
Familiarise yourself with the unique challenges and requirements of the Defence sector. Research how AI is being applied in this field and be prepared to discuss ethical considerations. This will demonstrate your interest in the role and your ability to think critically about the impact of technology.
✨Practice Pair Programming
Since pair programming is part of the interview process, practice this with a friend or colleague. Focus on clear communication and collaboration while coding. This will help you feel more comfortable during the actual interview and showcase your teamwork skills.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask your interviewers. This could include inquiries about their current projects, team dynamics, or how they approach innovation in AI. It shows that you're genuinely interested in the company and eager to contribute.
