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Senior Software Engineer

Premium Job From Sage
Recruiter: Sage
Listed on: 2nd November
Location: London or Newcastle
Salary Notes: Excellent
Type: Permanent
Start Date: ASAP

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People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it!

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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.

We are currently hiring a Senior Software Engineer to help us 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 value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!

You have:

4+ years of experience in building services, backend processes and API's in Python with tools like Flask or FastAPI

Expert knowledge and experience with several relevant programming languages (incl. Python), frameworks and databases (incl. DynamoDB, Postgres)

Extensive experience with cloud environments (we use AWS)

Experience using modern approaches to building simple interactive web UIs

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

Willingness to adapt to significant changes in either technology or environment

Key Responsibilities

You will:

Build services/APIs to integrate ML systems with customer-facing products

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

Collaborate with our AI Infrastructure team to extend the capabilities of our machine learning platform and tools

Design and build reusable code and packages

Monitor and optimize the quality and performance of our pipelines, services, and tools.