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Principal Machine Learning Engineer

London, United Kingdom | SAGE GROUP PLC

  • Industry:
    Computer Software / Computer Games
  • Position Type:
    Full-Time
  • Functions:
    IT / Information Technology
    Engineering
  • Experience:
    5-7 years
Job Description:
53 people have viewed this job

Job Description


Every business on Earth must, in some way, do bookkeeping, accounting, and financial planning to operate. At the outset, these functions may seem like mundane facts-of-life in the process of running a business; however, the skill with which a company does them can have a profound impact not only on their business, but also the world.Our team, within the CTO function, builds cloud-based AI-powered features and products that fundamentally change the way businesses operate.

Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights.

We are currently hiring a Principal Machine Learning Engineer to help us design and build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers, you will help steer the direction of the entire company’s Data Science and Machine Learning effort.

If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!

You Have:

• Bachelor’s degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. statistics, applied math, computer science, or a science field with direct statistics applications)

• Keen interest in machine learning and 5+ years of practical experience with it

• Strong quantitative and analytical skills with minimum 3 years of experience with data science tools, including familiarity and experience with the scientific Python toolset: numpy, scipy, sklearn, etc.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modelling.



• Ability to write highly performant code taking care of large volumes of data

• Excellent written and verbal communication skills, and ability to evaluate and explain technical details clearly

• Ability to work independently and mentor the other team members

Key Responsibilities


You Will:

• Design and implement services that use machine learning to augment and simplify our customers' workflows

• Develop our internal toolset to support our machine learning systems and our own efficiency

• Monitor and optimize the quality and performance of our models, services, and tools

• Experimenting, training, tuning, and shipping models

• Working with product managers and data scientists to translate product/business problems into tractable machine learning problems.

You May Be A Fit For This Role If You: 

- You’re comfortable with investigating open-ended problems and coming up with concrete approaches to solve them.

- You know when to use machine learning and when not to!

- You’re a deeply curious person.

- You often think about applications of machine learning in your personal life.

What's It Like To Work Here:

You will have an opportunity to work in an environment where engineering is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable, and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.


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