Artificial Intelligence Engineer

Experis UK; Sunderland; On-site; GBP 70,000 - 100,000; Full time

Job summary

Experis UK is seeking an Applied AI Engineer to join a Defence & Security team in Newcastle, focusing on production-grade AI with reliability and safety in mind.

You will integrate AI/ML components, design RAG solutions, evaluate LLMs, and collaborate with engineers and data scientists to deliver secure, measurable impact in mission-critical environments. Applicants should be comfortable operating under security constraints and communicating AI trade-offs to non-technical stakeholders.

Qualifications

• Experience integrating AI/ML into real-world applications.
• Strong understanding of LLMs, ML models, and statistics.
• Ability to evaluate AI systems and improve reliability.
• Excellent communication to explain AI trade-offs and risks.

Responsibilities

• Integrate AI/ML components into applications and workflows.
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Evaluate LLM performance, identify failure modes, and mitigate risks.
• Test, debug, and improve non-deterministic AI systems.
• Balance AI approaches with deterministic or statistical methods where appropriate.
• Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions.

Skills

AI/ML integration

LLMs understanding

Reliability & performance

Communication

Python

Tools

Python

RAG architectures

LLM tooling

Job description

Applied AI Engineer – Defence & Security

Location: Newcastle

SC Cleared / Eligible

The Opportunity

Join a forward-leaning engineering team applying cutting-edge AI in real-world, mission-critical environments. This role focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact.

What You’ll Do

• Integrate AI/ML components into applications and operational workflows
• Design and implement Retrieval-Augmented Generation (RAG) solutions
• Evaluate LLM performance, identify failure modes, and implement mitigation strategies
• Test, debug, and improve non-deterministic AI systems
• Balance AI approaches with deterministic or statistical methods where appropriate
• Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions

What You’ll Need

• Experience building or integrating AI/ML systems into real-world applications
• Strong understanding of LLMs, ML models, and core statistical concepts
• Experience evaluating AI systems and improving reliability and performance
• Ability to debug complex, non-deterministic behaviours
• Strong communication skills to explain AI trade-offs and risks

Bonus Skills

• Hands-on experience with RAG architectures and LLM tooling
• Experience working in regulated or high-assurance environments
• Familiarity with AI safety, risk, and governance considerations
• Background in software engineering (Python or similar)

Security Requirement

SC clearance (or willingness/eligibility to obtain) is required.