Senior Machine Learning Engineer

4 weeks ago

Newcastle upon Tyne, United Kingdom Sage City Full time

Graduate Machine Learning Engineer
Job Title Graduate Machine Learning Engineer
Job Description Calling all Graduates Are you looking for an opportunity to kickstart your career with industry leading training and mentoring? We’re looking for Graduate Machine Learning Engineers to join our two-year Graduate programme, giving you experience working in a FTSE 100 listed software company.
Everything we do at Sage is designed to help business flow, to help business’ make decisions faster and more accurate. As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. 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.
As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company’s Data Science and Machine Learning effort. You will participate in the design, development, delivery, and analysis of high-quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products. You will learn how to use cutting-edge ML/AI tools such as tensorflow/pytorch, sklearn, as well as the tools that are used to run models in production – docker, kubernetes, AWS, etc.
Throughout the 2-year Graduate programme and your career at Sage, we want you to be enthusiastic about your personal development, and continuously learn new things to strive for excellence. We expect a lot from our Graduates and will encourage you to bring innovative ideas to add real value for our customers, in an environment where ambition for future progression is rewarded. You’ll need to be a Graduate in a quantitative discipline, (applied mathematics, statistics, computer science, or similar)
Experience using statistical and machine learning techniques.
• Experience working with SQL and relational databases.
• You’ll be in the office at least 2 days a week so will need to live in (or be willing to relocate to) an easily commutable distance.
Apply online with CV
Complete screening and video interview (You will receive a link to complete a video interview within 1 week of applying)
If successful at video interview stage, you will be invited to attend an assessment centre in the summer.
Please note that due to the high volume of application, there will be a delay in receiving a response from your video interview. Here at Sage, we are committed to inclusivity for all, so if there any adjustments that would help you thrive in the application process or beyond, please reach out to us at earlycareers@sage.Office Location
Office Location Newcastle
Work Place type Hybrid
Advert Working at Sage means you’re supporting millions of small and medium sized businesses globally with technology to work faster and smarter. Watch a video about our culture: youtube.Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/ #J-18808-Ljbffr

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