SC Cleared AI Engineer in Northampton

SC Cleared AI Engineer in Northampton

Northampton Full-Time 80000 - 100000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build innovative AI systems and create practical applications for enterprise clients.
  • Company: Dynamic tech firm focused on cutting-edge AI solutions.
  • Benefits: Competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Fast-paced environment with exciting projects and career advancement potential.
  • Why this job: Join a hands-on role and make a real impact in the AI landscape.
  • Qualifications: SC Clearance, extensive Python and Node.js experience, and AI expertise.

The predicted salary is between 80000 - 100000 € per year.

An experienced AI Engineer is required for an Outside IR35 contract. This is a hands-on role building greenfield AI systems for enterprise clients. The successful candidate will design and deploy practical applications using LLMs, RAG, vector databases, and agentic workflows. This is not a research position. The engineer must be able to write production-ready code, integrate with existing platforms, and turn business requirements into working software quickly.

Key Responsibilities

  • Building agentic AI workflows and LLM-driven applications.
  • Designing RAG systems, vector retrieval pipelines, and knowledge bases.
  • Developing document intelligence and data extraction tools.
  • Creating backend services and integrating AI into existing business processes via APIs.
  • Delivering both client-facing enterprise projects and internal product features.

Required Skills & Experience

  • Active SC Clearance.
  • 8+ years of Python engineering.
  • 5+ years of Node.js / TypeScript engineering.
  • 4+ years of applied Artificial Intelligence and Machine Learning.
  • Proven experience shipping reliable backend systems and APIs.
  • Deep understanding of LLMs, RAG, agentic frameworks, and vector databases.
  • Strong grasp of retrieval techniques, chunking, embeddings, and system evaluation.
  • Ability to translate vague client needs into technical solutions.
  • Focus on practical delivery over experimentation.

SC Cleared AI Engineer in Northampton employer: IO Associates

Join a forward-thinking company that values innovation and collaboration, where your expertise as an SC Cleared AI Engineer will be instrumental in shaping cutting-edge AI solutions for enterprise clients. With a strong emphasis on employee growth, we offer a dynamic work culture that encourages continuous learning and development, alongside competitive benefits tailored to support your professional journey. Located in a vibrant area, our workplace fosters creativity and teamwork, making it an ideal environment for those seeking meaningful and rewarding employment.

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Contact Detail:

IO Associates Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land SC Cleared AI Engineer in Northampton

Tip Number 1

Network like a pro! Reach out to your connections in the AI and engineering fields. Let them know you're on the lookout for opportunities, especially roles that require SC clearance. You never know who might have the inside scoop on a job that’s perfect for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving LLMs and AI workflows. This will give potential employers a taste of what you can do and how you can turn their business needs into practical solutions.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, Node.js, and AI systems. Practice explaining complex concepts in simple terms, as this will help you connect with non-technical stakeholders during the interview.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace SC Cleared AI Engineer in Northampton

Active SC Clearance
Python Engineering
Node.js
TypeScript
Artificial Intelligence
Machine Learning
Backend Systems Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, Node.js, and AI systems. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your hands-on experience with LLMs and RAG systems, and how you can turn client needs into practical solutions.

Showcase Your Projects:If you've worked on any greenfield AI projects or built backend services, make sure to include them in your application. We love seeing real examples of your work that demonstrate your ability to deliver results.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at IO Associates

Know Your Tech Inside Out

Make sure you’re well-versed in Python, Node.js, and TypeScript. Brush up on your knowledge of LLMs, RAG systems, and vector databases. Be ready to discuss how you've applied these technologies in past projects, as this will show your hands-on experience.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've turned vague client requirements into practical solutions. Think about challenges you've faced in previous roles and how you overcame them, especially in building AI workflows or integrating APIs.

Demonstrate Your Delivery Focus

Since this role emphasises practical delivery, be ready to talk about how you prioritise getting things done over experimentation. Share instances where you’ve successfully shipped reliable backend systems and how you ensure quality in your code.

Be Ready for Technical Questions

Expect technical questions that test your understanding of retrieval techniques, chunking, and embeddings. Practise explaining these concepts clearly, as well as how they apply to the projects you've worked on, to demonstrate your expertise.