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 leveraging 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.What we offer:It's crucial to us that the differences we see in the world around us are reflected in our workplace.
Who you are is what counts, not where you're from or how you live your life.
At bp, we support our people to learn and grow in a diverse and challenging environment.
We believe that our team is strengthened by diversity.
We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.
There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life.
These benefits include:Generous salary package including an annual bonus program and individual performance-based incentives.Additional EPF contributions totaling 15%.Excellent work-life balance & flexible working arrangements.Collaborative environment that celebrates achievements, diversity, and culture.Ongoing career development and progression opportunities in a global organization.16 weeks paid parental leave (4 weeks partner leave).Travel Requirement:No travel is expected with this role.Relocation Assistance:This role is not eligible for relocation.Remote Type:This position is a hybrid of office/remote working.Skills:Commercial AcumenCommunicationData AnalysisData cleansing and transformationData domain knowledgeData IntegrationData ManagementData ManipulationData SourcingData strategy and governanceData Structures and AlgorithmsData visualization and interpretationDigital SecurityExtract, transform and loadGroup Problem SolvingLegal 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.#J-18808-Ljbffr