Senior Machine Learning Engineer

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Role Summary

We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering field 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 field developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable reliable products. Whether its 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.

Key Responsibilities

• 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.

• Translate complex scientific and business problems into well-scoped ML solutions delivering actionable insights and deployable capabilities.

• Architect and optimise ML systems for performance scalability and reliability in production environments.

• Collaborate closely with data scientists data engineers software engineers and domain experts as part of cross-disciplinary teams.

• Adhere to and advocate for engineering and data science best practices (technical design design reviews unit testing monitoring & alerting code reviews documentation).

• Present technical results trade-offs and product outcomes to peers and senior customers.

• Actively contribute to improving developer velocity engineering standards and shared tooling.

• Mentor junior team members and contribute to the technical growth of the wider team.

Qualifications

Essential

• MSc or PhD degree in a quantitative field (e.g. Computer Science Mathematics Physics Engineering or related discipline).

• Hands-on experience (typically 5 years) designing prototyping productionising maintaining and scaling ML/data science products in complex environments.

• 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.

• Applied knowledge of data science and ML tools across all stages of the data and model lifecycle.

• Thorough understanding of the mathematical foundations of statistics machine learning and scientific computing.

• Strong programming experience in one or more object-oriented languages (e.g. Python Go Java C).

• Advanced SQL knowledge.

• Experience with modern ML engineering practices including MLOps model lifecycle management CI/CD and monitoring.

• Knowledge of experimental design analysis and scientific methodology.

• Customer-centric and pragmatic mindset with a focus on value delivery and swift execution while maintaining rigour and attention to detail.

• Strong stakeholder management and ability to influence across teams and organisations.

• Continuous learning and improvement mindset.

Desired

• Experience with big data technologies (e.g. Hadoop Hive Spark).

• Experience with generative AI LLMs or retrieval-augmented generation (RAG).

• Exposure to Agentic AI concepts including autonomous agents tool use and orchestration frameworks.

• Experience applying machine learning and AI to scientific or R&D workflows with emphasis on building deployable ML products from scientific research (e.g. simulation optimisation physics-informed models).

• Familiarity with model interpretability uncertainty quantification and sophisticated experimental methodologies.

• Proven record of publications invention disclosures (IDFs) or patents in machine learning or AI.

• No prior experience in the energy industry required.

What We Offer

Complete by TA / HR with local benefits and compensation details

• 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.

• Hybrid working arrangements and a commitment to work-life balance.

• Career development pathways in a world-class technology organisation.

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 know

Why join bp

Our purpose is to deliver energy to the world today and tomorrow. For over 100 years bp has focused on discovering developing and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! At bp we support our people to learn and grow in a diverse and ambitious 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.

Disclaimer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform crucial job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Even though the job is advertised as full time please contact the hiring manager or the recruiter as flexible working arrangements may be considered.

We believe that our team is strengthened by diversity. We are committed to crafting 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 can include flexible working options collaboration spaces in a modern office environment and many others benefits.

What you can expect from us!

Our commitment to diversity equity and inclusion:

At bp you could be part of Business Resource Groups (BRGs) which believe in the power of inclusion deeper connections and shared experiences. They provide a place for employees to learn and share knowledge to connect and to improve. The BRGs focus on and encourage talent engagement development and retention while creating a broadened sense of community and inclusion for bp employees. The groups cultivate leadership growth by involving employees in developmental opportunities they would not otherwise have access to. Formal and informal mentoring also helps employees develop their professional goals and connect with colleagues. The BRGs dedication to growth at all levels helps employees feel more engaged and energized. The BRGs break down barriers so we can all do better together. Examples of BRGs include (but are not limited to):

bpWIN (bp Womens International Network)

Pride

Working parents

PEN (Positively Ethnic Network)

bpInclusia (bps Asian community)

bpEnergía (bps Latin community)

Travel Requirement

Relocation Assistance:

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Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race religion color sex national origin sexual orientation veteran status or disability with an accessibility need may request an adjustment/accommodation related to bps 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 processpleasecontact 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.