Machine Learning Engineer

Description:

With 4+ years of experience in the field of Machine Learning and Data Modelling.., your role in the division is to develop solutions within our cloud data platform that create value for our customers, in line with our strategic themes of quality, efficiency, empowerment, transparency and governance. That means you will likely be conversant with several data and analytics and software development disciplines such as data pipelines, data modelling, data product creation, source control, CICD and everything-as-code.

Our technology stack is based on Microsoft software in Azure and our source data is also in Microsoft technology, currently on-premise in hosted data centres in the EU and US. We also integrate with many third-party tools deployed internally or as SaaS.

We currently manage our work in Kanban, with the support of a dedicated Delivery Lead, to respond to rapid growth in use-cases for our data.

Tasks & responsibilities include:

- Create software products to meet our product roadmap and business-as-usual requirements, in conjunction with your line manager and our delivery lead

- Follow good software development lifecycle processes for all software artifacts in whatever language, including use of source control, unit testing, CICD, IaC

- Understand our enterprise data model, manifest in Kimball-style data warehouse in Azure

- Communicate clearly within the team and across the division, including across our geographic locations

- For more senior roles, the ability to identify when a business need is unclear or ambiguous and ask the right questions; and to translate a business need into a technical solution, considering scalability, security and resilience

- Relentless approach to self-development and continuous improvement

We think you’ll be a great fit if you have:

- Experience of data technologies, especially in the Microsoft stack, with a great grasp of SQL and/or Python (Flask/Vue JS).

- Experience of using Azure services including Azure SQL Database, Data Factory, DevOps, Power BI, ML Studio, Databricks, stream analytics, Terraform

- Experience of good SDLC practices: source control (git), CI/CD, test and release processes

- Any experience using any of the following would also be a bonus in our environment: Dynamics CRM, Rabbit MQ, Hubspot, C# .NET development or legacy Microsoft data technologies (SSIS, SSRS)