- Pay
- $73–104k
- Where
- Seattle, Washington, GB · GB · Remote · Remote
- Level
- Mid
An exceptional opportunity for a senior NLP Engineer to shape the future of AI & Technology in Seattle.
Language models are only as good as the engineers who refine them, and demand for that skill has outpaced supply across AI & Technology for years now.
This role sits inside a fast-growing startup building natural language systems for real commercial use, not research papers that never ship.
The team is small, the stack is modern, and the person who takes this NLP Engineer role will have a direct hand in what gets built next.
Here's what you'll be doing: Design, train and fine-tune language models for production use cases, from intent classification to generation Build and maintain data pipelines that feed clean, labelled text into training and evaluation workflows Run experiments to compare model architectures, tracking results and killing approaches that don't work fast Deploy models into live systems and monitor their behaviour once real users start hitting them Work closely with product and engineering to turn vague requirements into working NLP features Write clear documentation so the next person (possibly you, in six months) understands what was built and why Here are the skills you'll need: Solid hands-on experience with NLP techniques, from tokenisation and embeddings through to transformer-based architectures Strong Python skills and familiarity with frameworks such as PyTorch, Hugging Face or spaCy A track record of taking models from notebook to production, not just benchmark scores Comfort working independently and making decisions without waiting for permission at every step Good instincts for when a simpler model beats a bigger one Clear written and verbal communication, especially useful when explaining model limitations to non-technical colleagues Key perks and benefits: Salary of $72,500 to $103,500, set at the senior end of the band for this NLP Engineer position Fully remote role, with the flexibility to structure your working day around deep work Equity in a company still early enough that it matters A real learning and development budget, not a token one Flat structure where good ideas get heard regardless of job title Why pursue a career in AI & Technology?
Few sectors are growing as fast, and few reward sharp, curious engineers quite like AI & Technology does right now.
Seattle remains one of the strongest hubs in the world for this kind of work, with a dense concentration of talent, funding and genuinely interesting problems to solve.
An NLP Engineer who builds a strong reputation here, remote or not, tends not to stay unemployed for long.
This NLP Engineer opportunity in Seattle is brought to you by The Opportunity Hub UK.