Machine Learning Geoscientist

MyPetroCareer.com; Abingdon; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global energy solutions provider is seeking a Machine Learning Geoscientist in Abingdon. This role involves applying machine learning to geoscience challenges, designing AI algorithms, and collaborating in research and development. Candidates should possess a strong geoscience background, with a minimum of 4 years of experience or a relevant PhD. This full-time position offers competitive compensation and opportunities for innovation in a collaborative environment.

Qualifications

• Honors degree (2:1 or above) and postgraduate qualification in geoscience required.
• Minimum of 4 years related work experience or completion of a PhD.
• Strong Python programming skills essential for this role.

Responsibilities

• Apply theories, principles, and practices in research and development.
• Design and implement AI/ML algorithms for geological interpretation.
• Collaborate with multiple disciplines to refine workflows.

Skills

Python programming

Machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Collaboration and teamwork

Understanding of geoscience domains (stratigraphy, sedimentology, petroleum geology)

Education

Honors degree in geoscience

Postgraduate qualification in geoscience

Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

Machine Learning Geoscientist

Are you passionate about applying cutting‑edge machine learning to subsurface geoscience challenges? Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you’ll help shape the future of subsurface interpretation and modelling.

Key Responsibilities

Under general supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients.

Required Qualifications & Skills

• Honors degree (2:1 or above) and postgraduate qualification in geoscience.
• Minimum of 4 years related work experience, or completion of a PhD.
• In-depth understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
• Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).
• Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent communication and teamwork skills in a collaborative R&D environment.

AI / ML Implementation

• Design and implement AI/ML algorithms to automate and enhance geological interpretation.
• Develop AI/ML algorithms to improve geological realism in subsurface models.
• Validate predictive models using blind test datasets and real-world scenarios.

Collaboration & Innovation

• Work closely with colleagues from multiple disciplines to refine and enhance workflows.
• Stay current with AI/ML and geoscience advancements to drive innovation.
• Contribute to publications, patents, and technical presentations.

Desirable Experience

• PhD in geoscience.
• Proven application of AI/ML in geoscience projects.
• Experience in the energy sector.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom

Job Details

Requisition Number: 204376

Experience Level: Entry-Level

Job Family: Engineering/Science/Technology

Product Service Line: [[division]]

Full Time / Part Time: Full Time

Additional Locations for this position:

Compensation Information

Compensation is competitive and commensurate with experience.