Your mission

As a Senior MLOps Engineer, you will wear multiple hats across our ML pipeline, including: solution architecting of AI/ML based solutions, CI/CD practices, DevOps, MLOps principles, data pipelines and data cleansing. The role will revolve around developing & productionising ML prototypes developed at Tenyks, and integrating them into the Tenyks product.

This will involve working directly with the product manager, software engineers, and ML Research Engineers in order to understand why a given feature is required and how best to implement & integrate it into the Tenyks Product.

We are a small but dedicated team and expect everyone to be self-driven, comfortable working in our dynamic and fast-paced environment, and embrace the challenges we face.

What you need to succeed

• 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

About Us

Tenyks is a Y Combinator–backed Cambridge University spin-out building the world’s most advanced Visual Intelligence platform - essentially VideoGPT for the physical world.

We transform the planet’s visual data into real-time operational intelligence that helps physical-world businesses run faster, smoother, and more efficiently.

Our first focus is frontline-service environments, where we remove friction from customer flow, boost throughput, and unlock substantial economic value. The long-term goal: drive $1T+ in global efficiency gains while elevating both customer experience and frontline working conditions.

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 more than $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).