Artificial Intelligence Engineer

Tyne & Wear
Boldon Colliery, UK
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Software Debugging Python (Programming Language) Machine Learning Software Safety Software Engineering Large Language Models Generative AI Machine Learning Operations

Job description

Applied AI Engineer - Defence & Security Location: NewcastleSC Cleared / Eligible The OpportunityJoin 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 DoIntegrate AI/ML components into applications and operational workflowsDesign and implement Retrieval-Augmented Generation (RAG) solutionsEvaluate LLM performance, identify failure modes, and implement mitigation strategiesTest, debug, and improve non-deterministic AI systemsBalance AI approaches with deterministic or statistical methods where appropriateCollaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll NeedExperience building or integrating AI/ML systems into real-world applicationsStrong understanding of LLMs, ML models, and core statistical conceptsExperience

Requirements

evaluating AI systems and improving reliability and performanceAbility to debug complex, non-deterministic behavioursStrong communication skills to explain AI trade-offs and risks Bonus SkillsHands-on experience with RAG architectures and LLM toolingExperience working in regulated or high-assurance environmentsFamiliarity with AI safety, risk, and governance considerationsBackground in software engineering (Python or similar) Security RequirementSC clearance (or willingness/eligibility to obtain) is required.

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Good distractions

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Transitioning into the automotive artificial intelligence safety field

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Addressing automotive mission-critical safety in embedded software development

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Introduction to generative AI and content warnings

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