At a Glance
- Tasks: Develop cutting-edge AI solutions for Defence projects and tackle real-world challenges.
- Company: Fast-growing technical consultancy specialising in AI, data, and software solutions.
- Benefits: Salary up to £105,000, private healthcare, 25 days holiday, and a collaborative environment.
- Other info: Dynamic role with opportunities for professional growth and exposure to advanced AI systems.
- Why this job: Join a team of experts and work on innovative AI technologies that make a difference.
- Qualifications: Strong AI/ML knowledge, Python skills, and a degree in a related field.
The predicted salary is between 72000 - 88000 £ per year.
- Newcastle - on-site role, expensed wider travel required
- Up to £105,000 Do E + package
- Active SC or DV Clearance required
- 2-stage virtual interview process
- Experience required in AI/ML, LLMs, Python, Customer Consultancy
We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial services.
The business brings together high-calibre technical talent to solve complex problems in demanding environments.
Headquartered in Newcastle, they are building a growing team of engineers working on cutting-edge technology for secure sector customers.
The Role
As an AI Engineer, you'll work across Defence projects ranging from early-stage research and POCs through to fully engineered AI solutions.
Projects can span AI safety and security, edge AI, explainability, robustness in contested environments, agentic AI, LLMs/RAG and multi-modal AI, alongside novel machine learning approaches.
This is a hands-on opportunity with exposure across the AI engineering stack and working on technically challenging, real-world problems.
Responsibilities
- Deliver AI solutions from POCs through to production
- Apply ML/AI techniques to complex Defence challenges
- Provide technical expertise across projects and client engagements
- Develop robust, maintainable software using strong engineering practices
- Work across LLMs/RAG, agentic AI, multi-modal AI, edge AI, explainability and AI robustness
- Collaborate with engineers and share technical knowledge
Experience Required
- Strong understanding of AI/ML fundamentals and underlying algorithms
- Experience in one or more areas including LLMs/RAG, agentic AI, multi-modal AI, edge AI, AI safety, explainability or ML research
- Strong Python skills and solid software engineering fundamentals
- Strong communication and collaborative skills
- Comfortable working with ambiguity while remaining outcome-focused
- 1st or 2:1 degree in Computer Science, Mathematics, Machine Learning or related discipline
- Defence/Secure Sector experience advantageous
- What's on Offer
- Salary up to £105,000 Do E + discretionary bonus
- Exposure across research, POCs and production AI systems
- Develop skills across the full AI engineering stack
- Learn from experienced AI and software engineers
- Collaborative, low-ego engineering environment
- 25 days holiday + bank holidays
- Up to 6% matched pension
- Private healthcare
To be Considered
Please either apply through this advert or email me directly via .
For further information, please call me on .
By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
AI Engineer - SC Cleared employer: Searchability NS&D Careers
As a Cloud Architect at our London-based consultancy, you'll be part of a dynamic team dedicated to delivering innovative solutions for National Security clients. We pride ourselves on fostering a collaborative work culture that encourages professional growth and offers competitive benefits, including a salary of up to £120,000 and a DV bonus. Join us to make a meaningful impact while advancing your career in a supportive environment that values your expertise and contributions.
Contact Details:
Searchability NS&D Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - SC Cleared
✨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 Careers 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 Careers.
✨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 Careers.
✨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 Careers 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 AI Engineer - SC Cleared
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 Careers.
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 Careers 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 Careers
✨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 Careers 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.
