Machine Learning Engineer
at N Brown
Manchester, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 01 Sep, 2024 | GBP 43000 Annual | 01 Jun, 2024 | N/A | Object Oriented Programming,Version Control,Python,Vertex,Analytics,Git,Test Driven Development,Gcs,Machine Learning | No | No |
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Description:
JOB DETAILS
Salary up to £43,000 per annum
LocationManchester
Discipline Data
Reference017103
We’re looking for a Machine Learning Engineer join our Data Engineering team. As the ML Ops Engineer, you will be at the forefront of innovation, working as part of a small team of skilled engineers to develop and deploy scalable machine learning models. As part of your role, you will be responsible for developing, maintaining, and expanding platform(s) that enable data scientists to deploy their machine learning models with ease.
WHAT SKILLS AND EXPERIENCE WILL YOU HAVE?
- A strong communicator, able to bring complex technical concepts to life for business stakeholders and equally convey business needs effectively to technical audiences.
- Knowledge in working with at least one cloud platform AWS (SageMaker) and GCP (Vertex AI)
- A growth mindset - Ability to assess the value Machine Learning brings to the business and also knowing when machine learning is not suitable
- An excellent understanding of object-oriented programming in Python and strong SQL skills.
- A good understanding of automated testing principles including test-driven development.
- A good understanding of distributed version control (Git).
- Curiosity to experiment and improve, whilst staying aligned on outcomes.
- Experience with Google Cloud products (Vertex, BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms
- Appreciation of data management, analytics, science, and visualisation workflows and data needs
N BROWN – WHO WE ARE AND WHY WORK FOR US?
At N Brown, we’re committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by ‘championing inclusion, we’ll become the most loved and trusted fashion retailer’. Diversity, Equity, and Inclusion are, therefore, at the heart of our culture.
We’re a forward-thinking digital retailer with a financial services proposition to be proud of. We’re customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We’re experienced, with over 160 years of trading under our belt. We’re inclusive, as we believe in fashion without boundaries; and we’re sustainable, striving to make as little impact on the planet as possible.
Responsibilities:
WHAT WILL YOU DO AS A MACHINE LEARNING ENGINEER AT N BROWN?
- Work within a team of engineers to create, maintain, and extend our analytics platform.
- Aid and assist the working design patterns for ingesting, transforming, and exposing data.
- You will help drive the adoption of strong CICD practices to reduce risks to deployments.
- Bring you skills and experience of best practice and coding standards into the team. Work with the wider Data Engineering and Group Data team to share ways of working.
- You will collaborate across technology squads and teams as part of your role, whilst maintaining delivery and outcome focus.
- You will be working in an agile operating model with cross-functional teams.
- Help to migrate the existing Machine Learning platform from AWS to GCP over a period of 12 to 18 months.
- Effectively manage both old and new Machine Learning Platforms, ensuring both platforms are reliable, scalable, and secure. You will take a proactive approach to monitoring.
WHAT HAPPENS WHEN YOU APPLY TO A ROLE AT N BROWN?
As soon as we receive your application, we’ll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Manchester, United Kingdom