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Experis UK

Artificial Intelligence Engineer

Newcastle upon Tyne
Posted 2 months ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

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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.

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Location

Newcastle upon Tyne, England, United Kingdom

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