Senior ML Architect for Defence Systems

Senior ML Architect for Defence Systems

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
AI Chopping Block

At a Glance

  • Tasks: Lead innovative ML projects and mentor teams in a defence context.
  • Company: Join a leading organisation shaping the future of defence technology.
  • Benefits: Attractive salary, professional growth, and impactful work.
  • Other info: Dynamic role with opportunities for career advancement.
  • Why this job: Make a difference by solving complex challenges in defence systems.
  • Qualifications: Expertise in machine learning and strong leadership skills.

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

Faculty is seeking a Principal Machine Learning Engineer to act as a technical authority, shape software architectures, and drive innovation across high-impact projects. You will mentor teams, align ML/DS initiatives with global client needs, and lead complex cross-project engineering efforts in a defence context.

You will solve high-level challenges, define architecture and requirements, and collaborate with stakeholders to ensure scalable, reliable systems while growing the engineering team.

Senior ML Architect for Defence Systems employer: AI Chopping Block

AI Chopping Block is an exceptional employer, offering a vibrant and innovative work culture in Greater London that fosters creativity and collaboration. Employees benefit from a competitive compensation package, including private health insurance and generous leave policies, while also having ample opportunities for professional growth in the cutting-edge field of biotech and protein design. Join us to make a meaningful impact in a dynamic environment where your contributions are valued and recognised.

AI Chopping Block

Contact Details:

AI Chopping Block Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Architect for Defence Systems

Join Local Tech Meetups

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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 AI Chopping Block.

Tap into Online Developer Communities

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We think you need these skills to ace Senior ML Architect for Defence Systems

Machine Learning
Software Architecture
Technical Authority
Mentoring
Cross-Project Engineering
Stakeholder Collaboration
Scalable Systems Design

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 AI Chopping Block.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AI Chopping Block 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 AI Chopping Block

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 AI Chopping Block 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.