Full Stack Software Engineer in London

Full Stack Software Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and scale AI-powered systems with cross-functional teams to solve unique challenges.
  • Company: Join Faculty, a leader in responsible AI innovation since 2014.
  • Benefits: Enjoy unlimited leave, private healthcare, flexible working, and coaching support.
  • Other info: Diverse team culture that values intellectual curiosity and positive impact.
  • Why this job: Make a real-world impact by turning AI solutions into high-impact applications.
  • Qualifications: Experience in TypeScript, modern frameworks, and cloud environments required.

The predicted salary is between 60000 - 80000 £ 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. 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.

In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.

As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients. This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.

What you'll be doing:

  • Creating reliable, reusable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.
  • Leading engineers within cross-functional teams—alongside Data Scientists and Product Managers—to deploy technically sophisticated, high-impact software.
  • Designing and architecting robust project frameworks that maintain a balance between rapid prototyping and long-term maintainability.
  • Acting as a technical authority for full-stack development within your delivery unit to ensure best practices are met.
  • Providing deep technical expertise to customers, helping them navigate complex requirements and architectural scoping.

Who we're looking for:

  • You bring extensive experience in TypeScript and modern frontend frameworks like React or Vue, paired with a strong eye for intuitive UI/UX design.
  • You possess solid backend development skills in Python or TypeScript frameworks (such as FastAPI, Flask, or Django) and are comfortable managing the full application lifecycle.
  • You are experienced in deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.
  • You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.
  • You thrive in autonomous, fast-paced environments where you can take full ownership of problems and collaborate directly with clients to define technical strategy.
  • You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.

Our Interview Process:

  • Talent Team Screen (30 minutes)
  • Pair Programming Interview (90 minutes)
  • System Design Interview (90 minutes)
  • Commercial 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.

Full Stack Software Engineer in London employer: Faculty AI

At Faculty, we pride ourselves on being at the forefront of AI innovation, empowering our employees to explore and implement transformative technologies in a collaborative and intellectually stimulating environment. With a strong commitment to employee well-being, we offer exceptional benefits such as unlimited annual leave, private healthcare, and family-friendly flexibility, all while fostering a culture that values diversity and continuous learning. Join us in London, where you can take ownership of impactful projects and contribute to shaping the future of AI across various industries.

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Contact Details:

Faculty AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full Stack Software Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give us a leg up!

Tip Number 2

Prepare for those technical interviews! Brush up on your TypeScript, Python, and cloud deployment skills. We recommend doing some mock pair programming sessions with friends or using online platforms to get comfortable with coding under pressure.

Tip Number 3

Showcase your projects! If you've built any cool applications or contributed to open-source projects, make sure to highlight them during your interviews. We want to see your hands-on experience and how you tackle real-world problems.

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 your enthusiasm for joining Faculty and being part of our mission in AI.

We think you need these skills to ace Full Stack Software Engineer in London

TypeScript
React
Vue
UI/UX Design
Python
FastAPI
Flask

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how you connect with our mission of using technology to make a positive impact. Share any relevant projects or experiences that highlight your interest in AI.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Full Stack Software Engineer role. Highlight your experience with TypeScript, Python, and any frameworks you've worked with. We love seeing how your skills align with what we do!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, less is often more when it comes to written applications!

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 you’re keen to join our team at Faculty!

How to prepare for a job interview at Faculty AI

Know Your Tech Stack

Make sure you’re well-versed in TypeScript, React or Vue, and Python frameworks like FastAPI or Flask. Brush up on your cloud deployment skills too, especially with AWS, Azure, or GCP. Being able to discuss your experience with these technologies confidently will show that you’re ready to hit the ground running.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your scientific mindset and ability to balance big-picture vision with technical details.

Emphasise Collaboration

Since you'll be working with cross-functional teams, highlight your experience collaborating with Data Scientists and Product Managers. Share examples of how you’ve led teams or contributed to group projects, showcasing your communication skills and team-oriented approach.

Ask Insightful Questions

Prepare thoughtful questions about Faculty’s approach to AI and their projects. This shows your intellectual curiosity and genuine interest in the role. It’s also a great way to assess if the company culture aligns with your values and work style.