- Pay
- $82–107k
- Where
- San Francisco, California, GB · GB · Remote · Remote
- Level
- Mid
Perfect role for a mid professional looking to grow their AI & Technology career in San Francisco.
Language models have moved from research curiosity to production infrastructure in the space of a few years, and the gap between a model that works in a demo and one that holds up at scale is where most of the real engineering happens.
This role sits inside that gap.
The company is an established AI & Technology SME, past the startup scramble but still growing fast enough that a Natural Language Processing Engineer joining now will shape how the next generation of products gets built, not just maintain what already exists.
Here's what you'll be doing: Build and fine-tune NLP models for tasks like classification, entity extraction, and summarisation, then get them into production Design and run evaluation pipelines so model performance claims are backed by actual data, not vibes Work with product and engineering teams to turn vague requirements into shippable NLP features Optimise inference speed and cost for models running at real user volume Monitor deployed models for drift and degradation, and fix what breaks Document approaches clearly enough that the next engineer (or your future self) can pick them up without a archaeology dig Here are the skills you'll need: Solid experience with NLP techniques and frameworks (transformers, spaCy, Hugging Face, or equivalent) Strong Python skills, with the discipline to write code others can actually read Comfort with the full model lifecycle: data prep, training, evaluation, deployment, monitoring Understanding of how to balance model accuracy against latency and cost in production Clear communication.
You'll need to explain technical tradeoffs to people who don't live in this world day to day A mid-level engineer's instinct for knowing when to ship and when to push back Key perks and benefits: Salary of $81,500 to $106,500, set at a senior band for this level Fully remote, with the flexibility to work from wherever you're most productive Private medical insurance and pension contribution Generous annual leave plus flexible working arrangements Structured professional development, inside a company with defined roles and genuine room to grow Why pursue a career in AI & Technology?
Demand for people who can actually ship NLP systems, not just talk about them, keeps climbing.
San Francisco remains the gravitational centre of this industry, and a Natural Language Processing Engineer based there sits close to the talent, the funding, and the pace that keeps careers moving.
Good engineers in this field get rewarded quickly, because the skill gap is real and it isn't closing on its own.
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