Homeoffice Senior Data/MLOps Engineer (AI-Powered Platform) - REMOTE UK/Europe/Americas with verification
Mimica · United Kingdom · Remote
Mimica · United Kingdom · Remote
OP Labs PBC · United States Of America · Remote
LanguageWire · Portugal · Remote
Mimica · United Kingdom · Remote
What we are building
Mimica's mission is to accelerate the discovery and deployment of automation with AI.
Our first product, Mapper, learns patterns from employee clicks and keystrokes, identifies key steps, decisions and repetition and generates “blueprints” for automation. At the core of our ML pipeline is a technology translating noisy low-level computer actions into a clean, human-readable representation. Alongside creating process maps for automation, we've launched a companion tool, Miner, which helps enterprises identify and prioritize automation opportunities.
Our approach to engineering
What you will own
In this role, you will own the backend of our workflow mapping product, consisting of a database containing raw clicks and keystroke data, a web app (where users label data), and machine learning scripts (CV, NLP, etc.). You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services. As a founding member of our engineering team, you‘ll have the opportunity to shape our technical direction, processes and culture.
Part of your day-to-day
Requirements
Bonus
We’d love to hear from you, even if you feel you don’t quite have all of the above.
Location
This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone.
Benefits
We provide generous compensation and our goal is to always pay at the top of the local market. We take a structured approach to determining salaries and take into consideration our salary framework, market data, and candidates’ skills.
We also offer health benefits and ample paid time off, as well as a range of non-tangible benefits like flexible schedules and location, start-to-finish project ownership, and the opportunity to contribute to projects that will change the future of work.