make
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Machine Learning Engineer
R3391
Location
Edinburgh
United Kingdom - Remote
Career Track
Analytics & Data Science
Machine Learning Engineer
R3391
Location
Edinburgh
United Kingdom - Remote
Career Track
Analytics & Data Science
This role is eligible for full time remote work in London, Edinburgh, or Glasgow.
Our Data Science team is where smart solutions get created for the company. We build machine learning powered products that provide a core competitive edge over our competitors and they also contribute to the success of our business partners. We take pride in being excellent at our craft and employing our skills to the benefit of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.
Why this job’s a big deal:
Have the opportunity to design new machine learning models and build new machine learning products in a small but growing team within a large organization. Work at a company where the business is increasing investment in Machine Learning solutions and sees the solutions as a competitive advantage. Solve real world problems that span various domains within our business such as: Price optimization, NLP, Computer Vision, Sales forecasting, Hypothesis testing.
In this role you will get to:
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Develop, productionize and maintain machine learning models on large, noisy datasets to solve business problems.
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Work with big, noisy and novel datasets.
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Research and design your own solutions
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Evaluate and improve existing machine learning models
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Work alongside data scientists and developers to integrate machine learning solutions into production platforms
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Understand business requirements from non-technical team members
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Present technical solutions to non-technical team members
Technologies used:
● Python, Tensorflow, Keras, Spark, Numpy, Pandas, Spacy and many other tools and libraries
● We train our models using AWS Sagemaker and deploy services in Kubernetes
● We process large quantities of data streamed from many different applications to test and build our models
● We leverage AWS Augmented AI to assist in labeling tasks
Who you are:
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Masters or PhD qualification in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc
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2+ years of commercial/academic experience with demonstrated technical skills in one or more of the following areas: NLP, Classification, Statistical Modelling, Deep Learning and Forecasting
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Experience in implementing artificial intelligence/machine learning solutions in Python and Tensorflow
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Professional experience developing software or machine learning models
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Experience working with Spark/Pyspark on large and noisy datasets and the steps it takes normalize and cleanse them
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Experience evaluating and improving existing machine learning models
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Eagerness to learn new techniques, technologies, solve problems and contribute in a team environment
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Familiarity with AWS (Sagemaker, Athena, Lambda, IAM, EKS)
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Experience with Tensorflow, Keras, Pandas, Numpy and Flask
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Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.
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The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential.
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