Lead Machine Learning Engineer 62204
Lead Machine Learning Engineer 62204
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Job Description
About The Role
At National Grid we keep people connected and society moving. But its so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all we dont plan on leaving any of our customers in the dark. So join us as a Lead Machine Learning Engineer and find your superpower.
National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital department. This is a hybrid role that offers flexible working options and will require occasional visits to Warwick or London.
As a Lead Machine Learning Engineer on the National Grid Data Science team you will develop data pipelines take data science prototype models to production fix production bugs monitor operations and provision the necessary infrastructure in Azure.
Key Accountabilities
- Lead Machine Learning projects endtoend.
- Develop platform tooling (e.g. internal conda library CLI tool for project setup and provisioning infrastructure) for the Data Science team.
- Work with data scientists to understand their data needs and put together data pipelines to ingest data.
- Work with data scientists to take data science model prototypes to production.
- Mentor and train junior team members.
- Work with internal IT teams (security Cloud Global Active Directory Architecture Networking etc. to advance the teams projects.
- Enhance code deployment lifecycle
- Improve model monitoring frameworks
- Refine project operations documentation
- Design provision and maintain the cloud infrastructure needed to support Data Engineering Data Science Machine Learning Engineers and Machine Learning Operations.
- Write highquality code that has high test coverage.
- Participate in code reviews to help improve code quality.
Technologies/Tools we use: Python Azure (Virtual Machines Azure Web Apps Cloud Storage Azure ML) Anaconda packages Git GitHub GitHub Actions Terraform SQL Artifactory Airflow Docker Kubernetes Linux/Windows VMs.
About You
- Handson industry experience in some combination of Software Engineering ML Engineering Data Science DevOps and Cloud Infrastructure work.
- Expertise in Python which includes experience in libraries such as Pandas scikitlearn. High proficiency in SQL.
- Knowledge of best practices in software engineering is necessary.
- Handson industry experience in some combination of the following technologies: Python ecosystem Azure (VMs Web Apps Managed Databases) GitHub Actions Terraform Packer Airflow Docker Kubernetes Linux/Windows VM administration Shell scripting (primary Bash but PowerShell as well).
- A solid understanding of modern security and networking principles and standards.
- A foundational knowledge of Data Science is strongly preferred.
- Bachelors or higher degree in Computer Science Data Science and/or related quantitative degree is preferred from an accredited institution.
More Information
A salary betweendependent on capability
As well as your base salary you will receive a bonus of up to 15 of your salary for stretch performance and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12. You will also have access to a number of flexible benefits such as a share incentive plan salary sacrifice car and technology schemes support via employee assistance lines and matched charity giving to name a few.
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At National Grid we work towards the highest standards in everything we do including how we support value and develop our people. Our aim is to encourage and support employees to thrive and be the best they can be. We celebrate the difference people can bring into our organisation and welcome and encourage applicants with diverse experiences and backgrounds and offer flexible and tailored support at home and in the office.
Our goal is to drive develop and operate our business in a way that results in a more inclusive culture. All employment is decided on the basis of qualifications the innovation from diverse teams & perspectives and business need. We are committed to building a workforce so we can represent the communities we serve and have a working environment in which each individual feels valued respected fairly treated and able to reach their full potential.
Employment Type
Full Time
