FAQs
What are the core responsibilities of a Machine Learning Engineer at N Brown?
The core responsibilities of a Machine Learning Engineer at N Brown include working within a team of engineers to create, maintain, and extend the analytics platform, aiding in designing patterns for data ingestion and transformation, driving the adoption of CICD practices for deployment risk reduction, collaborating with cross-functional teams, and migrating existing Machine Learning platforms from AWS to GCP.
What skills and experience are required for a Machine Learning Engineer at N Brown?
Skills and experience required for a Machine Learning Engineer at N Brown include strong communication abilities, knowledge of cloud platforms like AWS and GCP, proficiency in Python and SQL, understanding of automated testing, familiarity with Git, an experimental mindset, and experience with Google Cloud products or similar products from other cloud platforms.
What benefits are offered to Machine Learning Engineers at N Brown?
N Brown offers benefits to Machine Learning Engineers such as hybrid working and flexible start times, holiday entitlement, annual bonus scheme, enhanced maternity and adoption leave, company pension contribution, mental health support, wellbeing services, financial wellbeing support, discounts across N Brown brands, onsite café, life assurance, private medical insurance, paid volunteer time, and more.
What is the working environment like at N Brown for Machine Learning Engineers?
At N Brown, Machine Learning Engineers work in a diverse and inclusive environment, with a focus on diversity, equity, and inclusion. The company is customer-obsessed, experienced in the industry, inclusive in its fashion offerings, and sustainable in its practices. The working hours are flexible, with hybrid working options available, and the Head Office is located in Manchester City Centre with easy access to public transport.