Senior Machine Learning Engineer


London, GB
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/31/2021
  • Website:
  • Company Address: Kensington Centre 66 Hammersmith Road, London, United Kingdom, W14 8UD

About WorldRemit

We’re changing the way people send money abroad. We’re taking something complicated and making it simple.

Our people and our technology work together to create faster, easier and lower cost money transfers. We send to 150 countries around the world and have over 4 million happy customers – a number that’s growing every day. After all, 125,000 5★ reviews can’t be wrong!

Job Description

We’re global, we’re growing and we’re going to need talent to keep up the pace. We’re making payments simpler for over 4m customers worldwide, in over 90 currencies. We’ve been around for 10 years, disrupting the market with a digital payment platform that aims to make sending money abroad as easy as sending a text message. 

There’s almost 1,200  of us already hard at work and we love welcoming new people. We’ve got offices across the world, from London to Sydney and 15 locations in between - they’re open for business but right now lots of us are working from home. Want to be part of our global growth story - read on…



Senior Machine Learning Engineer


About the role

As a Senior Machine Learning Engineer, you'll be working alongside our product data scientists and data engineers to help apply machine learning throughout the business. We believe data and machine learning is key to help us provide an excellent customer experience. From offering dynamic user journeys to helping to automate manual decisions, there is a machine-learning gap at virtually every level of our organisation. 


You will work on the process end to end, from understanding the business problem to analysing datasets and finally putting a Machine Learning system in production. Projects you could work on: fraud prevention, anti-money laundering, marketing optimisation and attribution, customer churn prediction and retention, time-series forecasting, pricing and customer service automation.


As a member of WorldRemit’s Engineering team you will aim high, embrace challenge and always do what’s right; acting with integrity and building trust as you contribute to the company’s technical direction and long term decision making.

Reporting to the Engineering Manager, you will:

  • Liaise with stakeholders to analyse business problems and translate it as a Machine Learning application with a quantifiable metric.

  • Analyse large, complex datasets to extract insights and decide on the appropriate techniques and algorithms suitable to tackle a problem.

  • Collaborate with data engineers to build data pipelines and model training infrastructure.

  • Build and maintain scalable machine learning inference systems in production

  • Apply and adapt state of the art research to solve business problems.

  • Research and implement best practices to improve the existing machine learning training and serving infrastructure.

  • Effectively communicate results with the team, and stakeholders.

  • Provide machine learning domain expertise to support engineers and product managers in structuring the implementation of machine learning systems.

What we’re looking for from you

  • Masters/PhD in Machine Learning, Computer Science or a related quantitative field (or equivalent experience)

  • Solid understanding of Machine Learning fundamentals and learning theory

  • Experience in the Machine Learning model building and evaluation process

  • Ability to translate business requirements into machine learning solutions

  • Strong software engineering experience in Python

  • Experience with SQL


Desirable Experience:

  • Experience in one or more in the following: Fraud prevention, Anti-Money Laundering or Marketing Optimisation and attribution

  • Experience building and maintaining data extraction, feature processing pipelines and machine learning models in a production environment

  • Experience in statistical experiment design and performance analysis of machine learning models

  • Understanding of Data Engineering and Big Data technologies (Hadoop, Spark, Kafka etc...)

  • Experience working in the Amazon Web Services stack


What you’ll get from us 

  • Life assurance of 3 times your salary, should the worst happen

  • Pension scheme offering 8% matched contributions

  • Private medical and dental care plans

  • 25 days of holiday plus bank holidays, rising to 28 after 3 years

  • Cycle to work scheme


*Please note, due to remote working at present, some of our benefits may be temporarily suspended. For more information please get in touch.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.