Staff Engineer - Defence AI & Systems Leader in London

Staff Engineer - Defence AI & Systems Leader in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead complex software and AI projects in the Defence sector while mentoring engineers.
  • Company: Applied Data Science Partners, a leader in innovative tech solutions.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to shape technical strategies and engage with clients.
  • Why this job: Make a real impact in Defence with cutting-edge technology and expert collaboration.
  • Qualifications: Strong technical expertise in software and AI, plus leadership skills.

The predicted salary is between 72000 - 88000 £ per year.

Applied Data Science Partners in London is seeking a Staff Engineer to lead the technical delivery of complex software, data and AI projects in the Defence sector, combining deep technical expertise with project leadership and client engagement.

You will rapidly grasp new problem spaces, collaborate with domain experts, and deliver robust production-ready solutions, while mentoring engineers and shaping practical technical strategies.

Staff Engineer - Defence AI & Systems Leader in London employer: Applied Data Science Partners

Applied Data Science Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have ample opportunities to mentor fellow engineers and lead cutting-edge projects in the Defence sector, all while enjoying the vibrant atmosphere of one of the world's leading tech hubs.

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Contact Details:

Applied Data Science Partners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Engineer - Defence AI & Systems Leader 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 Applied Data Science Partners 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 Applied Data Science Partners.

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 Applied Data Science Partners.

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 Applied Data Science Partners 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 Staff Engineer - Defence AI & Systems Leader in London

Technical Delivery
Software Development
Data Science
AI Project Management
Client Engagement
Problem-Solving
Collaboration

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 Applied Data Science Partners.

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

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 Applied Data Science Partners 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.