AI Engineer | Remote (UK) | c.£40-45k + bonus
Plenty of data scientists build models that never get used. This role is about the ones that do.
VIVA Tech Talent are hiring for a small, specialist AI company that’s growing fast. Their job is to turn AI ideas into tools people actually use, for a varied mix of clients. Some of those projects make a real difference beyond the bottom line. They’re also developing products of their own, and whoever joins will have a hand in those as well.
The role
You’ll own work from the first look at the data through to something live and in use. That means:
- Digging into data, building models, and being honest about whether they work
- Designing GenAI solutions with LLMs and retrieval, and testing them properly so they hold up in real use
- Doing the engineering that gets your work out of a notebook: clean Python, APIs, containers and the cloud
- Talking to clients directly, understanding what they need, and explaining your results in plain English
- The team is small, so you’ll get plenty of trust and very little red tape.
You’ll probably have
- Around two or more years of commercial experience working with Python and data
- Something real you’ve built with LLMs that you can talk about with confidence
- Solid SQL and good engineering habits: version control, testable code, and APIs (FastAPI or similar)
- Some time working in Azure, AWS or GCP, and with Docker
- A way of working that already includes AI coding assistants
Stronger on one side than the other? That’s expected. Data scientists who want to grow their engineering skills, and engineers who’ve moved into AI, will both get support to fill the gaps.
Why it’s worth a conversation
- Your work will reach real users, not a slide deck
- Varied client work alongside product work with real upside
- An experienced team at an early stage, so you’ll grow faster here than at most places
- Fully remote, c.£40-45k plus a performance bonus and generous holiday
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AI Engineer employer: ViVA Tech Talent
As a leading AI solutions provider in Belfast, we pride ourselves on fostering a dynamic and flexible work culture that empowers our employees to tackle real-world challenges. Our hybrid work environment not only promotes work-life balance but also offers ample opportunities for professional growth and development in the rapidly evolving field of machine learning. Join us to be part of an innovative team where your contributions will make a significant impact in the world of AI.
