Shell

AI/ML Engineer

Shell  •  London, GB (Onsite)  •  1 hour ago
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Job Description

, United Kingdom


Job Family Group:

Research and Development


Worker Type:

Regular


Posting Start Date:

June 30, 2026


Business Unit:

Projects and Technology


Experience Level:

Experienced Professionals

What’s the role

AI/ML Engineer role is focused in delivering production‑scale AI and data solutions that drive business value across Shell’s end‑to‑end value chain. This role designs, builds, and operates full‑stack data science, machine learning, and Generative AI applications on cloud‑based digital platforms (Azure/AWS), working within agile product teams. The position requires strong ownership across the full product lifecycle, from model development to deployment, monitoring, and continuous improvement.

What you’ll be doing

Data and Software Engineering in Data Science and Machine Learning (ML) drives business value through providing quality technical, functional and consulting expertise to deliver the right skills, at the right time, in the right place. In DSE Engineering you will have opportunities to work on E2E programs and products across the value chain of Shell.

  • Create full-stack data science application and tools on a digital platform

  • Responsible for delivery of data science tasks for a product in a production scale environment through Agile

  • Understand the product lifecycle especially relating to data science, development to support

Deepen knowledge of current and emerging AI Engineering practices and technologies and gain applicable certifications

What you bring

  • Bachelor or Master’s degree in quantitative subjects like Data Science, Computer Science, Applied Mathematics, Statistics, Physics, bringing significant years of experience in the industry.

  • Practical experience in developing end-to-end models using machine learning for predictive modelling in a business/industry environment, i.e., feature engineering, model creation, evaluation and postproduction support mechanisms

  • Hands-on experience in building large scale distributed Machine Learning Applications using microservices and event driven systems-based practices

  • Extensive experience in designing applications with Azure Machine Learning Services

  • Technical Knowledge of MLOps principles and standards to build ML pipelines for automated model deployment, model performance monitoring, data drift detection in market standard platforms like Azure Machine Learning, AWS Sagemaker C3 or Databricks.

  • Strong interest and curiosity in exploring a wide range of languages, frameworks, and tools, including Python, PySpark, .NET/C#, Java, JavaScript, Kubernetes, and Kafka

  • Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets and designing workflow or Orchestration systems such as ADF, Airflow, C3.ai, Databricks, Dagster, Datalake etc

  • Must have a proven track record of architecting and launching a large-scale Generative AI platform from the ground up, with demonstrated reach of at least 20,000 customers and deep expertise in LangChain, LangGraph, and Microsoft Agent Framework.

  • Must have led end-to-end development and CI/CD deployment of production-grade, multi-agent autonomous systems leveraging A2A protocols and MCP servers, ideally on Microsoft AI Foundry and Microsoft Agent Service, including the establishment of both offline and online evaluation frameworks.

  • Must have designed and delivered enterprise-scale Text-to-SQL solutions with a strong command of natural language interfaces for structured databases, leveraging Mosaic and Genie.

  • Must have built and shipped enterprise-grade RAG solutions with advanced context engineering, incorporating Agent Skills, sophisticated chunking strategies, and document intelligence pipelines for multimodal RAG — including data extraction using Mistral Doc AI.

  • Must have designed and implemented a robust test harness for LLM model benchmarking and comparison.

  • Skilled in at least one of the following:

    • GenAI, LLM models, ML algorithms, Machine Vision, NLP

    • C3, including JavaScript, data ingestion, integration, model management and monitoring, API framework, prebuilt libraries

    • Cloud Application development, deployment, and monitoring on platforms like Azure, AWS

    • Deep knowledge of the technology landscape and context in one or more Shell core business areas, e.g. SSW, IGUPT, RES, etc

  • Passionate and experienced in working with small, empowered, cross-functional teams focused on delivery. Possesses strong interpersonal skills for both teamwork and independent work, and is adept at collaborating with virtual teams and stakeholders in agile environments

After you submit your application, you will receive an email from Shell providing a link to an online assessment (HireVue) that is a mandatory part of the process and has a validity period – please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell.

What we offer

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.

  • Continuously grow the transferable skills you need to get ahead.

  • Work at the forefront of technology, trends, and practices.

  • Collaborate with experienced colleagues with unique expertise.

  • Achieve your balance in a values-led culture that encourages you to be the best version of yourself.

  • Make an impact in one of the world’s leading technology-driven businesses.

  • Benefit from flexible working hours, and the possibility of remote/mobile working.

  • Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.

  • Take advantage of paid parental leave, including for non-birthing parents.

  • Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.

  • Grow as you progress through diverse career opportunities in national and

  • international teams.

  • Gain access to a wide range of training and development programmes.

Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments (e.g. assistive technology, communication support, any other) during the application or interview process, please let us know directly via careers@shell.com . We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs.

Shell in The United Kingdom

Shell is a vital contributor to the UK, supporting energy security, jobs and economic value. We provide energy to fuel homes, hospitals, schools, vehicles, machinery and factories. Our history here dates back over 125 years. A UK-headquartered global energy leader, and leading FTSE multinational, we are active across the country’s energy system.

In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.

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DISCLAIMER:

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

Shell

About Shell

Shell is a global group of energy and petrochemical companies, employing 96,000 people across 70+ countries. We serve around 1 million commercial and industrial customers, and around 33 million customers daily at our Shell-branded retail service stations.

Our purpose is to power progress together by working with each other, our customers and our partners. #PoweringProgress

Industry
Oil, Gas & Mining
Company Size
10,000+ employees
Headquarters
London, GB
Year Founded
Unknown
Website
shell.com
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