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Job Description:
We are looking for a Machine Learning Operations (MLOps) Engineer to join our dynamic team, focusing on ensuring robust, scalable, and secure deployment of machine learning models that align with bp’s digital transformation objectives. This role exists to bridge the gap between data science and IT operations, ensuring that machine learning models move seamlessly from development to production, supporting bp’s mission to drive data-driven insights and innovation in the energy sector.
The MLOps Engineer will be responsible for deploying, scaling, and maintaining machine learning models in production environments, building automated CI/CD pipelines, and optimizing infrastructure for performance and reliability. By demonstrating modern MLOps practices and collaborating closely with data scientists, software engineers, and DevOps teams, this role will contribute to enhancing automation, improving system resilience, and ensuring high standards of security and compliance across bp’s AI applications.
This position plays a crucial part in bp’s strategic goal to harness AI and machine learning for operational efficiency, informed decision-making, and innovation. The MLOps Engineer’s contributions are vital to ensuring that bp remains competitive and agile in the evolving energy landscape, while upholding the highest standards of security, performance, and reliability in our AI systems.
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Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.