Full Stack Software Engineer - AI/ML - Security Cleared in London

Full Stack Software Engineer - AI/ML - Security Cleared in London

London Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Develop full stack applications and integrate AI/ML capabilities into software.
  • Company: Join a growing tech organisation in the National Security & Defence sector.
  • Benefits: Competitive salary up to £90,000, career growth, and work on cutting-edge technology.
  • Other info: Active SC or MOD DV clearance required; dynamic team environment.
  • Why this job: Make a real-world impact by solving challenging software and AI problems.
  • Qualifications: Experience in software engineering with a passion for AI/ML and diverse tech skills.

The predicted salary is between 63000 - 77000 £ per year.

Job Description

FULL STACK SOFTWARE ENGINEER - AI/ML - SECURITY CLEARED

NEW PERMANENT OPPORTUNITY AVAILABLE FOR A SC OR MOD DV CLEARED FULL STACK SOFTWARE ENGINEER WITH AN INTEREST IN AI/ML

  • Location: West London
  • Clearance: Active SC or MOD DV Clearance required
  • Employment: Permanent
  • Sector: National Security & Defence

Searchability NS&D are working with a growing technology organisation delivering advanced software and AI capabilities across the National Security & Defence sector.

They are looking for an all-round Full Stack Software Engineer with an interest in AI/ML to join a highly technical engineering team.

This isn't a role where you'll be expected to be a dedicated Machine Learning Engineer or pure frontend developer.

We're looking for someone comfortable getting involved across the software stack, solving difficult engineering problems and working alongside AI/ML specialists to turn emerging technology into usable, production-ready software.

THE ROLE

You'll work across the software development lifecycle, helping to design, build, integrate and deploy applications that make advanced AI and computer vision capabilities accessible to end users.

The role could involve

  • Developing modern full stack applications and user interfaces
  • Building backend services and REST APIs
  • Integrating AI/ML capabilities into software applications
  • Developing tools for image, video and AI visualisation
  • Building scalable and maintainable software
  • Integrating applications, services and workflows
  • Working with data and modern data platforms
  • Contributing to software architecture and technical direction
  • Developing automated tests and CI/CD pipelines
  • Supporting customer demonstrations, trials and deployments
  • Working with AI/ML teams to turn research and models into practical software

The balance of frontend, backend, integration and AI/ML work will depend on your experience and interests.

WHAT WE'RE LOOKING FOR

We're deliberately looking for an all-rounder rather than someone who ticks every box.

You'll ideally have several years of commercial Software Engineering experience and be comfortable working across different parts of the technology stack.

Experience with some of the following would be valuable

  • SOFTWARE ENGINEERING
  • Full Stack Software Development
  • Python development
  • Java Script / Type Script or similar frontend technologies
  • REST APIs and frameworks such as Flask or Django
  • Git, automated testing and CI/CD
  • Strong software design and engineering practices
  • Linux development environments
  • DATA & INTEGRATION
  • Application or systems integration
  • Databases such as Mongo DB or Postgre SQL
  • Data lakes / modern data platforms
  • Event-driven architectures or messaging
  • Building connected workflows between different systems
  • AI / ML
  • Experience working alongside AI/ML or data science teams
  • Exposure to Machine Learning or Computer Vision
  • Python-based ML technologies such as Py Torch
  • ML pipelines or model deployment
  • Image or video processing
  • An interest in integrating AI/ML into production software

You don't need experience across all of these areas - a strong software engineer with breadth, curiosity and an interest in AI/ML is exactly what we're looking for.

WHY JOIN?

You'll be joining a highly technical team working on genuinely challenging software and AI problems, with the opportunity to see your work move from development into real-world operational environments.

You'll have the opportunity to

  • Work alongside experienced Software Engineers, AI/ML specialists and researchers
  • Build software around cutting-edge AI and Computer Vision technology
  • Work across software engineering, integration and AI/ML
  • Influence architecture and technical direction
  • Take ownership of meaningful projects
  • Develop your skills across modern technologies
  • Contribute to products designed for demanding real-world environments
  • SECURITY CLEARANCE

Due to the nature of the work, active SC or MOD DV clearance is required for this position.

If you're an SC or MOD DV cleared Software Engineer who enjoys working across the stack and has an interest in AI/ML, Computer Vision or emerging technologies, we'd love to hear from you.

You don't need to be an AI expert - we're particularly interested in engineers with a broad technical skillset who want to get closer to this area.

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Full Stack Software Engineer - AI/ML - Security Cleared in London employer: Searchability NS&D

Searchability NS&D is an exceptional employer that prioritises employee growth and development, offering clear progression pathways and funded certifications to enhance your skills in the dynamic field of security architecture. With a hybrid work model based in Greater London, you will enjoy a collaborative work culture that values innovation and teamwork, alongside competitive salaries and performance bonuses that recognise your contributions.

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Contact Details:

Searchability NS&D Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full Stack Software Engineer - AI/ML - Security Cleared in London

✨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 Searchability NS&D 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 Searchability NS&D.

✨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 Searchability NS&D.

✨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 Searchability NS&D 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 Full Stack Software Engineer - AI/ML - Security Cleared in London

Full Stack Software Development
Python Development
JavaScript / TypeScript
REST APIs
Flask
Django
Git

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 Searchability NS&D.

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

✨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 Searchability NS&D 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.