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

Apply Now

Artificial Intelligence Engineer...

Accelleo
London
2 days ago
Create job alert

AI Engineer – Security Clearance Required

We’re looking for a capable, curious, and hands-on AI Engineer to help deliver intelligent solutions to our UK-based clients using our in-house agentic AI platform.

This role focuses on configuring, orchestrating, and integrating off-the-shelf LLMs, embeddings, vector databases, and toolchains — not model training or fine-tuning. You’ll help build intelligent, explainable, and secure systems that solve real customer problems.

🧩 What You’ll Be Doing

  • Design and deploy LLM-powered solutions on top of our core agentic AI platform
  • Build task-oriented AI workflows using pre-trained LLMs, embeddings, vector search, and tool integrations
  • Extend and adapt platform capabilities using Python
  • Translate business and user needs into orchestrated AI behaviours and workflows
  • Work closely with clients and delivery teams to shape solutions, from prototype to production
  • Ensure solutions are modular, secure, and reliable — while maintaining clarity and traceability in decision logic

    ✅ What You Must Bring

  • UK-based and either hold SC clearance or be eligible and willing to go through clearance
  • 2+ years of experience in applied AI engineering, data engineering, or backend platform work
  • Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows
  • Good understanding of machine learning concepts, LLMs, tokenisation, and vector-based semantic search
  • Experience working with vector databases (e.g. Chroma, Weaviate, FAISS), and familiarity with relational or graph stores
  • Hands-on experience using frameworks like LangChain, Haystack, or custom orchestration layers
  • Ability to work independently and collaboratively across delivery and engineering teams

    🌟 Nice to Have

  • Familiarity with ethical considerations, bias evaluation, and responsible AI deployment
  • Light DevOps or scripting experience to support deployment or debugging

    Why This Role?

    This isn’t about training models — it’s about making them useful. You’ll help real users benefit from safe, practical AI without reinventing the wheel. Expect variety, challenge, and meaningful outcomes.

    UK-based only. No sponsorship available. SC clearance (or eligibility) is required.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.