Staff Machine Learning Engineer

bp; Pune District; Hybrid; INR 3,000,000 - 5,200,000; Full time

Benefits offered by this job

Hybrid working arrangements

Competitive compensation & benefits

Career development pathways

Mentorship and leadership

Job summary

bp is seeking a Staff Machine Learning Engineer to lead architecture of large-scale ML systems across the organisation. This role represents the highest IC tier, shaping engineering standards and driving production-grade ML products spanning research to deployment.

You will mentor engineers, drive multi-team initiatives, evaluate advanced AI approaches, and collaborate with scientific customers to shape ML strategy and realise value.

Qualifications

• MSc or PhD in a quantitative field.
• 8+ years designing, prototyping, productionising ML systems.
• Deep expertise in ML algorithms, statistical modelling, optimisation, and scientific computing.
• Strong software engineering and system design, including distributed systems and API design.
• Advanced programming in Python, Go, Java, or C++.
• Advanced SQL knowledge.
• Experience with MLOps, production ML systems, model lifecycle, monitoring.
• Experience with large-scale data systems and distributed computing like Spark/Hadoop.
• Knowledge of experimental design and scientific methodology.
• Ability to influence large organisations without direct authority.
• Leadership through technical excellence and delivering big outcomes.
• Commitment to continuous learning.

Responsibilities

• Provide technical leadership in the design and architecture of large-scale ML systems and platforms across the organisation.
• Own end-to-end delivery of complex ML solutions from problem framing to deployment.
• Develop novel algorithms and models and deploy them as scalable, production-grade products.
• Bridge research and enterprise deployment for value delivery.
• Drive ML engineering excellence including CI/CD, testing, observability, and monitoring.
• Define standards and best practices for ML engineering across teams.
• Lead multi-team initiatives and influence organisational direction.
• Evaluate and integrate emerging AI approaches into scalable solutions.
• Contribute to internal ML platforms and reusable computing capabilities.
• Mentor senior engineers and data scientists.
• Partner with business and scientific customers to shape ML strategy and opportunities.
• Present strategies and outcomes to senior leadership.

Skills

MSc/PhD in quantitative field

8+ years MLProduction

ML algorithms & statistics

Software engineering & design

Python/Go/Java/C++

MLOps & monitoring

Distributed data systems (Spark/Hadoop

Experiment design & statistics

Influence without authority

Continuous learning

Education

MSc or PhD in quantitative field

Tools

Spark

Hadoop

Job description

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

We are seeking an exceptional Staff Machine Learning Engineer to serve as a technical leader and architect of advanced machine learning systems across the organisation.

This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the full journey from scientific research and experimentation through to scalable, production-deployed solutions.

A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between cutting-edge research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains.

Key Responsibilities

• Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation.
• Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery.
• Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products.
• Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value.
• Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps best practices.
• Define technical standards, patterns, and best practices for ML engineering and applied ML science across teams.
• Lead complex, multi-team technical initiatives and influence organisational direction through technical authority.
• Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions.
• Contribute to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities.
• Mentor senior engineers and data scientists, raising the technical bar across the discipline.
• Partner with business and scientific customers to shape ML strategy and identify high-value opportunities.
• Present technical strategies, architectural decisions, and outcomes to senior leadership.

Qualifications

Essential

• MSc or PhD degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).
• Hands‑on experience (typically 8+ years) designing, prototyping, productionising, and scaling complex ML systems in production environments.
• Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a proven track record of applying these to deliver production‑grade products.
• Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design.
• Advanced programming experience in languages such as Python, Go, Java, or C++.
• Advanced SQL knowledge.
• Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring.
• Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop).
• Knowledge of experimental design, scientific methodology, and analysis.
• Strong customer management and proven ability to influence large organisations without direct authority.
• Demonstrated ability to lead through technical excellence and deliver high-impact, organisation‑wide outcomes.
• Continuous learning and improvement approach.

Desired

• Deep experience in applied machine learning science — including developing novel algorithms and translating scientific research into deployable, production‑grade ML products.
• Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics‑informed modelling, and autonomous scientific workflows.
• Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production.
• Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi‑agent orchestration, reasoning workflows, and agent‑driven scientific discovery.
• Proven track record of innovation through publications in peer‑reviewed venues, invention disclosures (IDFs), patents, or open‑source contributions in machine learning or AI.
• Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams.
• Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks.
• 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 lead and shape the future of ML and AI at one of the world’s largest energy companies.
• 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 Women’s International Network)

Pride

Working parents

PEN (Positively Ethnic Network)

bpInclusia (bp’s Asian community)

bpEnergía (bp’s Latin community)

Travel Requirement

Up to 10% travel should be expected with this role

Relocation Assistance:

This role is eligible for relocation within country

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Machine Learning (ML), Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Python, Relational Data Modeling, Risk Management, Scripting, Secure development {+ 9 more}

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 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.