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

Apply Now

Principal Artificial Intelligence Engineer

fierlo
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Principal AI Research Scientist – Natural Language Processing

Principal Data Scientist, AI Security Research

Principal Data Scientist (H/F)

Senior / Principal Machine Learning Scientist

Principal Data Scientist (H/F)

Machine Learning Engineer (Databricks)

Lead AI Engineer / Consultant - Greenfield


Outside IR35

£600 - £750pd flexible for the right person


RAG experience a must.


About the Company


Market leading SaaS organisation building out their AI function.


About the Role


This project is a greenfield build out of AI capabilities. They are starting with RAG use cases as a low bar, but are targeting a rich Agentic implementation in the near term. The incumbent has an opportunity to work on the foundational architectural definition and implementation.


Responsibilities

  • Hands-on AI Engineer at principal/staff level to build an AI team to deliver an AI capability.
  • Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system.
  • Expert in MCP and RAG patterns.
  • Design and build robust data and ingestion pipelines, integrate vector databases, and RSG.
  • Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow).
  • Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS).
  • Strong background in deploying models via APIs, containers, or cloud-native services.
  • Proven track record delivering production-grade AI solutions in complex, data-rich environments.
  • Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
  • Lead tech enablement
  • Excellent communication skills
  • Experience in setting up AI functions


Qualifications

Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles.


Required Skills

  • Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow).
  • Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS).
  • Strong background in deploying models via APIs, containers, or cloud-native services.
  • Proven track record delivering production-grade AI solutions in complex, data-rich environments.
  • Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.


Preferred Skills

  • Expert in MCP and RAG patterns.
  • Experience in developing agentic AI systems
  • Lead tech enablement and mentor engineers, fostering culture of reliability, continuous improvement, and collaboration.
  • Excellent communication skills, able to translate technical strategy into business outcomes and work across team.


Send us along your cv now for immediate consideration on this role as we are interviewing this week.

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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.