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For Companies At a Glance
- Tasks: Design and build AI-powered systems while collaborating with clients on real-world problems.
- Company: Join a dynamic AI consultancy focused on impactful projects for UK government and enterprise clients.
- Benefits: Competitive salary, fully remote work, and opportunities for rapid career growth.
- Why this job: Get hands-on experience with cutting-edge AI technology and make a real difference.
- Qualifications: Understanding of AI fundamentals and strong communication skills; coding experience is a plus.
- Other info: Flexible role with no rigid hierarchy, perfect for proactive learners.
The predicted salary is between 28000 - 42000 £ per year.
Overview
Applied AI Software Engineer (Junior–Mid) – SC / DV Cleared
Location: UK (Fully Remote, occasional client site visits)
Salary: £35,000 – £50,000
Employment: Permanent
Security Clearance: SC or MOD DV required
The role
We’re hiring an Applied AI Engineer to join a small, delivery-focused AI consultancy working with UK government and enterprise clients. This is a hands-on role for someone early to mid-career who wants exposure to real customers, real problems, and real AI systems in production. You’ll work across the full lifecycle — from understanding a client’s problem, to shaping solutions, to building and delivering working systems. There’s no rigid role definition and no heavy hierarchy. You’re trusted to take ownership, learn quickly, and contribute where you can add the most value.
What you’ll be doing
- Responsibilities vary by project, but typically include:
- Designing and building AI-powered systems using Python, TypeScript, or similar
- Working with LLMs and traditional ML models to solve real-world problems
- Supporting solution and architecture design for AI systems
- Collaborating directly with clients to understand requirements and constraints
- Participating in (or running) discovery workshops and technical demos
- Explaining technical concepts clearly to non-technical stakeholders
- Building prototypes, proofs of concept, and internal tools
You’ll often switch between technical delivery and client-facing work — sometimes in the same day.
What we’re looking for
We care more about capability and attitude than job titles or years of experience. This role suits someone at junior to mid-level who wants to grow quickly in applied AI.
Essential:
- A solid understanding of AI fundamentals, including modern LLMs and traditional ML
- Ability to contribute technically when needed (coding, prototyping, or technical explanation)
- Experience working with stakeholders or clients, or a strong interest in doing so
- Clear written and verbal communication skills
- A proactive mindset — using quieter periods to learn, improve systems, or add value
Nice to have (but not required)
- Python, TypeScript, or similar languages
- Familiarity with modern AI frameworks (e.g. LangChain or LangGraph)
- Cloud experience (AWS, Azure, or GCP)
- Experience delivering work for UK government organisations
- Active SC or DV clearance
Applied AI Software Engineer - Security Cleared employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Software Engineer - Security Cleared
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with government clients. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any AI systems you've built or contributed to. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and client interaction skills. Be ready to discuss how you've tackled real-world problems and how you can contribute to their projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Applied AI Software Engineer - Security Cleared
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your understanding of AI fundamentals and any relevant coding experience. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applied AI and how your proactive mindset aligns with our values. We love seeing enthusiasm and a personal touch!
Showcase Your Communication Skills: Since you'll be working with clients, it's crucial to demonstrate your clear written communication. Use straightforward language and avoid jargon when describing your experiences. We appreciate clarity just as much as technical skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Let’s get your application rolling!
How to prepare for a job interview at Searchability®
✨Know Your AI Fundamentals
Make sure you brush up on your understanding of AI fundamentals, especially modern LLMs and traditional ML. Be ready to discuss how these concepts apply to real-world problems, as this will show your potential employer that you can think critically about the technology.
✨Showcase Your Coding Skills
Since the role involves designing and building AI-powered systems, be prepared to demonstrate your coding abilities in Python or TypeScript. Bring examples of your previous work or even a small project that highlights your skills in prototyping and technical delivery.
✨Communicate Clearly with Clients
This position requires collaboration with clients, so practice explaining complex technical concepts in simple terms. Think of scenarios where you've had to do this before, and be ready to share those experiences during the interview.
✨Emphasise Your Proactive Mindset
The company values a proactive approach, so come prepared with examples of how you've used quieter periods to learn new skills or improve existing systems. This will demonstrate your initiative and eagerness to grow within the role.
