Senior MLOps Engineer

8+ years of relevant working experience in developing production-grade ML systems, with a Bachelor’s / Master’s Degree in Computer Science or related fields (e.g., Physics, Mathematics, Engineering)

Proficiency with Python and basic machine learning libraries (scikit-learn, numpy, scipy, pandas, etc)

Proficiency with at least 1 deep learning framework (Tensorflow, Keras, PyTorch, etc)

Experience in operationalization of ML, such as using open source frameworks (e.g., MLflow, Seldon.io), or managed services / cloud provider offerings (e.g. AWS Sagemaker, Google AI Platform, Azure Machine Learning, Databricks, DataRobot, …), or specific on-prem solutions (e.g., Kubeflow)

Experience in building RESTful APIs on top of Python-based servers (e.g. Flask, Tornado), and running these over scalable Databases (e.g. Mongo, SQL, Postgres)

Experience with core DevOps principles, such as CI/CD, Testing (e.g. unit, integration, regression), Containerisation, & Security

Familiarity with Linux and bash commands

Passion for learning and applying new research.

Excellent communication, relationship skills, and a great teammate

Experience working as part of an agile product development team

Preferably based in UK or Europe

Tenyks is a YCombinator University of Cambridge spin-out inventing the way humanity interacts with AI to protect the world from the Terminator! But also to ensure that AI is developed with passion, excitement, and joy! We are building an MLOps monitoring and validation platform that helps AI developers working with computer vision data to build more reliable software faster. Specifically, our platform helps ML developers understand what's wrong with their software and fix it. Imagine all of the tools you use to code, but for AI! At Tenyks we set our goals ridiculously high and stick together to go further than anywhere previously imaginable. We start small, work hard, and deliver fast, embracing the inevitable obstacles with open hearts because challenges fuel our burning desire for learning. Tenyksians make no distinctions between work and play. We simply pursue our vision of excellence, leaving others to decide whether we are working or playing.

We are a remote-first team, founded by Cambridge & Oxford PhDs in Explainable AI & Computer Vision that has now raised $3.4 million dollars from leading UK, EU, and BG investors.

Recently, the Tenyks was featured in Forbes 30U30 Europe Technology List, Sifted’s Rising star in Gen AI, and the University of Cambridge recognised it with its Company of the Year Award (an award won by Deep Mind in 2014).