Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Engineer

83data
Plymouth
1 day ago
Create job alert

This range is provided by 83data. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

AI Engineer - Defence RAG Systems ( Security Clearance Essential ) On Site 2 X Days a week Plymouth - willingness to undergo DV if required


Role Overview

Defence client requires an SC Cleared AI Engineer to build fully on-premises RAG systems using open-source technologies. You\'ll develop classified AI capabilities on air-gapped infrastructure with zero external dependencies.


Key Responsibilities

  • Build end-to-end RAG pipelines on isolated defence networks using open-source LLMs (Llama 3, Mistral, Qwen)
  • Deploy local vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines
  • Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity
  • Implement agent orchestration using LangChain/LangGraph in completely offline environments
  • Design secure document processing for classified materials with appropriate data sanitisation
  • Build monitoring and evaluation systems that operate within air-gapped infrastructure
  • Active SC Clearance (non-negotiable) - willingness to undergo DV if required
  • Expertise with local vector databases (Chroma, FAISS, Weaviate) in offline deployments
  • Strong vLLM/Text Generation Inference experience for high-throughput model serving
  • Proven ability to work on air-gapped systems with no external package repositories
  • Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation
  • Python expertise with offline dependency management and local package mirrors

Technical Stack (All On-Premises)

  • Models: Llama 3, Mistral, Qwen (locally hosted)
  • Orchestration: LangChain, LangGraph for agents
  • Hosting: vLLM, TGI, Ollama on bare metal/private cloud
  • Infrastructure: Air-gapped Kubernetes, local container registries
  • Experience with defence/government IT security protocols
  • Knowledge of CIS benchmarks and NCSC guidelines
  • Familiarity with cross-domain solutions and data diodes
  • Understanding of classification marking and handling procedures

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • IT Services and IT Consulting and Defense and Space Manufacturing

Referrals increase your chances of interviewing at 83data by 2x


Get notified about new Artificial Intelligence Engineer jobs in Plymouth, England, United Kingdom.


We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.