Machine Learning Engineer

Are you interested in natural language understanding, predictive model building, structured graph mining, or applied machine learning? As a Machine Learning Engineer at Migacore Technologies, you will be responsible for building state-of-the-art predictive models, end to end. You will have wide latitude to experiment with feature extraction, model design, as well as system evaluation. There are many open-ended questions yet to be answered, and lots of opportunities to make a lasting impact on our product.


Requirements

  • BSc, MSc, or PhD in Computer Science, Software Engineering, or equivalent experience in another quantitative field.
  • Strong understanding of machine learning techniques and algorithms.
  • Hands-on experience designing, building, and evaluating predictive models.
  • Proficiency in Python preferred. Java/C++/Go/Ruby experience is also welcome.
  • Bonus points for strong understanding of natural language processing techniques and algorithms.
  • Bonus points for familiarity with TensorFlow, PyTorch, or Keras.
  • Bonus points for experience building and deploying products that include a web-based user interface.
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proactive and excited to tackle open-ended problems independently.
  • Statistical thinking.
  • Strong attention to detail.

What we offer

  • Competitive salary.
  • Great working environment.
  • A stake in the business.
  • A critical position in a high-growth machine learning startup.
  • The chance to move fast, deploy often, and have a real impact on the product.
  • The chance to learn and grow extremely fast.
  • Pension plan.
  • Cycle to Work Scheme.
  • Conference and self-development budget including travel.

Skills: Python, Machine Learning, D3.js, Keras, TensorFlow

Compensation: £35K - £60k

Equity: 0.3% - 1.5%

Location: London, UK

Job Type: Full Time, Permanent

Start Date: Immediate

If you're interested in what we're working on, please send george@migacore.com your CV and a short note on something you're passionate about.