Principal Machine Learning Engineer

at  BP

JOB DESCRIPTION:

We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world’s ambition of a low carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner, and to help the world get to net zero.
Critical to achieving bp’s digital ambitions is the delivery of our high value data and analytics initiatives, and the enablement of the technologies and platforms that will support those objectives. We are developing deep data capability to transform the access, supply, control and quality to our vast and ever-growing reserves of data.
We are looking for an outstanding Principal Machine Learning Engineer who will drive the development of our data modelling and data contextualisation capabilities. These use cases would drive significant operational efficiency, safety and environmental aims that are key to the transformation of bp.

SKILLS:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ timeframes.
Complement our data scientists by designing and implementing a reliable, secure and maintainable modelling framework that can be used to deploy models to production easily.
Define projects for other engineers to possibly solve and achieve impact based on your direction.
Own the full ML life cycle for a significant new ML product, including production quality.
You are a strong advocate for ML excellence.
Code deliverables in tandem with Data Scientists.
Play a critical role in helping to set up directions and goals for the team.
Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability.
You are the one who implements the hardest part of the system or feature.