Machine Learning Research Engineer

  • Kyldo
  • London, UK
  • 11/02/2020
Full time Data Science Machine Learning Big Data Statistics

Job Description

At Klydo, we’re creating a world where everyone has the confidence to innovate.

We are already giving companies the confidence to innovate for their customers by helping them create new products and services that solve meaningful problems. Next, we’ll help them innovate for themselves, enabling them to construct bold new business models, organisational designs and ways of working. One day, Klydo will give someone the confidence to create an entirely new business from scratch.

It’s an audacious, incredibly rewarding mission that only recently, with the advent of new developments in artificial intelligence, we’ve dared to imagine. To achieve it, we’re merging the fields of creativity and AI to build the world’s first creative AI for innovation - AI that gives everyone the confidence to create unimagined solutions to the problems that matter most.

Helping us on our journey, we've got the backing of top VC investors, including those behind Shazam, Zoopla and LoveFilm to name just a few. We've also signed up leading consumer brand partnerships and we'll be growing the team fourfold over the next year.

Exciting challenges lie ahead — rapid growth, technological breakthroughs, and paradigm shifts in innovation. Guided by our four core values, we’ll meet these challenges with the support and dedication of the incredibly diverse team that we’re building.

Why is this role important for Klydo's success?

We use a range of state-of-the-art semi-supervised and unsupervised ML algorithms to cluster text data into semantic themes. This is fundamental to our product and as such, we’re looking for an ML Research Engineer who will help us advance our existing ML technology even further through researching and developing completely novel methods and techniques.

You’ll be taking on a key role in our engineering team, owning the core ML processes in our data pipeline and collaborating with the whole team to develop more effective and creative ways of using them. Some of the technologies you will be working with include Python, Flask, Docker, Tensorflow and of course, many more.

It's an exciting opportunity for you if you want to work at the cutting edge of ML research and apply it to real-world use cases. You'll see your work directly contributing to the rapid growth of our company and you'll directly see the impact your work has for our users.

If you want to work at the cutting edge of ML research and apply it to real-world use cases, this should excite you. This is a unique chance to truly see the impact your work has on our user's ability to generate more innovative ideas.

You will be responsible for:

  • Keeping abreast with recent NLP and ML developments
  • Uncovering hidden structure within a large corpus of text, drawing upon unsupervised learning techniques such as hierarchical clustering and document embeddings
  • Designing and implementing user feedback loops to improve ML models
  • Working with the rest of the team to integrate the models in production
  • Architecting and implementing the ML pipelines and infrastructure
  • Informing, iterating and challenging our ML strategy


  • Ability to learn quickly and enjoy the fluidity of a dynamic startup environment
  • Strong background in unsupervised machine learning and/or statistics and at least some experience of natural language processing
  • Ability to build and deploy NLP/ML systems in production at scale
  • In-depth knowledge of Python
  • Passion for sharing what you've learnt and confidence to ask others for help
  • Never-ending curiosity for finding solutions to hard problems


Make your mark

  • Join the founding team of the most creative AI company around
  • Immediately see the tangible impact of your work as one of our first ten hires
  • Own the design vision for our products and see your work in use with real-world clients

Be in control

  • We trust you from the start, giving you the autonomy to shape the work you do
  • Enjoy our flexible working hours and feel free to work from home when you need