Staff Machine Learning Engineer

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Job Description:

We are looking for a Staff Machine Learning Operations (MLOps) Engineer to lead our efforts in delivering robust, scalable, and secure deployment of machine learning models at bp. This role is pivotal in defining MLOps strategies, mentoring teams, and driving alignment across data science, software engineering, and operational teams to accelerate bp’s digital transformation. The Staff MLOps Engineer will ensure that machine learning models integrate seamlessly into business-critical systems, enabling impactful decision-making 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.

Key Accountabilities

• Define and oversee the architectural design of automated CI/CD pipelines, ensuring they align with bp's long-term AI goals and industry best practices.

• Act as a technical leader and advisor, aligning cross-functional teams to strategic goals, ensuring perfect integration of machine learning systems at scale.

• Supervise and optimize machine learning infrastructure and model performance to detect issues proactively and ensure continuous operational efficiency and system health in production environments.

• Implement security best practices and compliance protocols for machine learning systems to safeguard bp’s data, ensure model integrity, and comply with data protection regulations.

• Lead and mentor senior engineers, fostering a culture of operational excellence and continuous learning.

Essential Experience and Job Requirements

• Membership of a technical or professional body that has confirmed an individual has reached a level of capability within a technical or professional field (usually but not necessarily obtained through examinations) or Formal certification that they can undertake specialist work or processes e.g. PMI.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.

• 5+ years experience in professional software development or machine learning operations, with a proven track record of deploying and leading ML models in production environments.

• Strong understanding of MLOps principles and practices, including model versioning, monitoring, CI/CD, and infrastructure automation.

• Extensive experience leading large-scale MLOps initiatives, including designing and handling production systems with high scalability and reliability requirements.

• Experience with cloud platforms (e.g., AWS, Azure) and managing machine learning workloads within these environments, including understanding of cloud-native tools and best practices.

• Proven track record of driving consensus and influencing stakeholders at all levels to adopt cutting-edge MLOps strategies.

• Demonstrated ability to lead or mentor junior engineers in MLOps practices, contributing to a culture of knowledge-sharing and continuous learning within the team.

• Experience with sophisticated model monitoring and observability tools (e.g., Prometheus, Grafana, Datadog) to supervise model performance and system health in real time.

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)

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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.