BP
Senior Machine Learning Engineer
United States of America - Texas - Houston · Senior · Contract
Sponsorship not specifiedDetected 2 days ago
PythonJavaGoC++SwiftAlgorithmsCode ReviewSQLNoSQLCloud PlatformsCI/CDMachine LearningDeep LearningSparkData ScienceNLPLLMsRAGAgentic AIMLOpsStatisticsA/B TestingAccessibilityProject Management
About the role
- In a time of constant change and possibility we need new talent to pursue commercial opportunities, fueled by world-class insight and expertise.
- Together we continue to grow as the world's leading energy company!
- This role goes beyond traditional ML engineering.
Responsibilities
- Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation).
- At bp, we support our people to learn and grow in a diverse and challenging environment.
Requirements
- MSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).
- Hands-on experience (typically 5+ years) designing, prototyping, productionizing, maintaining, and scaling ML/data science products in sophisticated environments.
- Applied knowledge of data science and ML tools across all stages of the data and model lifecycle.
- Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++).
- Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.
- Strong stakeholder management and ability to influence across teams and organisations.
- Experience with big data technologies (e.g. Hadoop, Hive, Spark).
- Experience with generative AI, LLMs, or retrieval-augmented generation (RAG).
- Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies.
- No prior experience in the energy industry required.
- Essential
- Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques - with a track record of applying these to build production-grade solutions.
- Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing.
- Advanced SQL knowledge.
- Knowledge of experimental design, analysis, and scientific methodology.
- Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail.
- Continuous learning and improvement mindset.
Skills
- Legal Disclaimer:
Compensation
- Competitive compensation and benefits package.
Benefits
- Competitive compensation and benefits package.
- Opportunity to work on cutting-edge ML and AI problems at global scale.
- A culture that values scientific rigour, engineering excellence, and continuous learning.
- 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 can include flexible working options, a generous paid parental leave policy, and excellent retirement benefits, among others!
- Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability).
- Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products - not limited to experimentation but extending through to production delivery and operational use.
- Build impactful ML products leveraging statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains.
Company info
- Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fueled by world-class insight and expertise. We're always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world's leading energy company!
- Role Summary
- We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering discipline to design, build, and deploy production-grade ML and AI systems.
- This role goes beyond traditional ML engineering. You will apply machine learning science as a core discipline - developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value.
- You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain experts - translating complex scientific and business problems into deployable ML products.
- Our purpose is to bring together people, energy and markets to power and navigate a changing world.
- We're always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too.
- You will apply machine learning science as a core discipline - developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products.
- Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value.
Equal opportunity
- Employer
- bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.
- We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us kn
- Why join bp:
This listing is sourced directly from BP's careers page and normalized into a canonical job model.