At a Glance
- Tasks: Lead a team to develop cutting-edge AI solutions for high-stakes Defence projects.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact with AI technology while mentoring a talented team.
- Qualifications: Proficient in Python and a compiled language, with leadership experience.
The predicted salary is between 70000 - 90000 £ 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.
As a Lead Software Engineer, you will spearhead our backend and edge/IoT engineering for high-stakes Defence projects, implementing patterns and practices that are both scalable and future-proof. You will bridge the gap between proof-of-concept and robust systems, raising the engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment.
What you'll be doing:
- Leading and mentoring a dedicated squad of engineers to ensure the delivery of high-quality, scalable software.
- Designing and building complex components of client deliverables across backend and edge/IoT domains.
- Implementing robust CI/CD processes and containerisation strategies using Docker and Kubernetes.
- Shipping production-ready code in Python and compiled languages such as Rust, C++, or Go.
- Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures.
- Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
Who we're looking for:
- You have extensive experience in application development and a deep understanding of modern system architecture and design patterns.
- You are proficient in Python and at least one compiled language, with a proven track record of shipping code to paying customers.
- You bring a leadership mindset, with the ability to empower engineers and foster a culture of technical excellence.
- You possess strong hands-on experience with DevOps tools, including GitLab CI/CD, Docker, and deployment on bare metal or Kubernetes.
- You are a compelling communicator who can build trusted relationships with client-side engineers and senior business leaders.
- You thrive in ambitious environments and are passionate about solving real-world problems with immediate impact.
The Interview Process:
- Talent Team Screen (30 minutes)
- Introduction to the role (45 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 Lead Software Engineer in Wakefield employer: Faculty AI
At Faculty, we pride ourselves on being at the forefront of AI innovation, empowering our employees to make a meaningful impact in high-stakes environments such as Defence. With a strong commitment to work-life balance, our unlimited annual leave policy and flexible working arrangements foster a supportive culture that encourages personal and professional growth. Join us in London or work remotely within the UK, and be part of a diverse team dedicated to building responsible AI solutions that truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Lead Software Engineer in Wakefield
✨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 Lead Software Engineer in Wakefield
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.