Specialism 01

AI and machine learning recruitment.

We bridge the gap between AI innovation and commercial grade deployment. RecT finds the machine learning, LLM and MLOps engineers who take models from prototype to production.

The roles we fill

Who we find for you.

In an era of AI hype, we find the 1% who actually know how to productionise models. We specialise in sourcing talent capable of building proprietary LLMs, optimising neural networks and implementing MLOps pipelines that actually work in production.

  • Machine Learning Engineer

    Builds, trains and deploys models that run reliably in production.

  • LLM Architect

    Designs systems around large language models, from retrieval to evaluation and guardrails.

  • MLOps Engineer

    Builds the pipelines, monitoring and infrastructure that keep models healthy after launch.

  • Computer Vision Specialist

    Builds models that understand images and video, from detection to tracking.

  • NLP Researcher

    Advances how systems understand and generate language.

  • Deep Learning Engineer

    Designs and optimises neural networks for performance and scale.

  • AI Research Scientist

    Pushes the state of the art and turns new methods into usable models.

How we assess

Production experience, not just prototypes.

Every candidate is technically screened and spoken to before you meet them.

  1. Shipped, not just built

    We look for engineers who have taken models to production and kept them running, with real deployment, monitoring and MLOps experience.

  2. Problem solving with and without AI tools

    We vet for logic and data structure mastery, and for using AI tools to accelerate critical thinking rather than replace it.

  3. Questions built around your stack

    Every interview scorecard is written for your stack and roadmap, so each question ties back to what you are building.

FAQs

Hiring AI talent: your questions.

Straight answers to what we are asked most. Anything else, just ask.

Which AI and machine learning roles do you recruit for?

Machine learning engineers, LLM architects, MLOps engineers, computer vision specialists, NLP researchers, deep learning engineers and AI research scientists.

How do you know an AI engineer can deliver in production?

We look for evidence they have shipped and maintained models in production, and we screen every candidate technically and speak to them before you meet them.

How long does it take to hire an AI engineer?

You meet a vetted shortlist in days, and our average time to hire is 21 days. For rare profiles, our Precision Mandate maps every viable candidate in the market.

Can you find AI contractors at short notice?

Yes. Through Tactical Deployment, first contract candidates arrive within 48 hours of your brief.

How Tactical Deployment works

Hiring AI talent?

Tell us who you need.

Book a call or send a brief, and we respond within one business day.

Talk to Tino, Sophia or Anna. We respond within one business day.