Overview

bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future!

Role Summary

We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts.

Responsibilities

• Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability).
• Collaborate with cross-functional teams to translate business problems into ML solutions.
• Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing.
• Optimise model performance and ensure scalability and reliability in production environments.
• Contribute to the design of ML system architecture and data infrastructure.
• Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation.
• Mentor junior engineers and data scientists, and contribute to technical design reviews.
• Stay current with the latest ML research and tooling, and evaluate their applicability to our use cases.

Required Qualifications

• Experience in machine learning engineering or applied data science roles.
• Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn.
• Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs.
• Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes).
• Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow).
• Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).
• Strong communication skills and ability to work collaboratively in a team environment.
• MSc or PhD in Computer Science, Engineering, Mathematics, or a related field.

Desirable Skills

• Experience with generative AI, LLMs, or retrieval-augmented generation (RAG).
• Exposure to vector databases and semantic search.
• Knowledge of software engineering best practices and system design.
• Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation.
• Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications.
• Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks.
• Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI.
• Prior experience in energy, logistics, or industrial domains is a plus but not required.

Benefits and Working Arrangements

We provide an excellent working environment and employee benefits including an open and inclusive culture, strong work-life balance, learning and development opportunities, health and life insurance, medical care, and other benefits. We support a diverse and challenging environment and are committed to an inclusive culture where everyone is respected.

Additional Details

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. This role is hybrid (office/remote). Travel: No travel is expected. Relocation: This role is not eligible for relocation.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Oil and Gas

Legal Disclaimer: We are an equal opportunity employer and value diversity. We do not discriminate and provide accommodations for applicants with accessibility needs. Details may vary by location and role. If selected, employment may be contingent upon pre-placement checks and policy adherence.