Job Search and Career Advice Platform

Enable job alerts via email!

Machine Learning Geoscientist - Jr

Halliburton Energy Services

Abingdon

On-site

GBP 80,000 - 100,000

Full time

9 days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A global energy services provider in Abingdon seeks an entry-level candidate to join its geoscience research team. Responsibilities include applying machine learning to subsurface geoscience challenges, designing algorithms, and collaborating across disciplines. An honors degree in geoscience and experience with AI/ML frameworks is required. This role offers competitive compensation and opportunities for professional growth.

Qualifications

  • 2 - 5 years of relevant industry experience.
  • Proven application of AI/ML in geoscience projects.
  • Experience in the energy sector.

Responsibilities

  • Apply theories to research and develop new products.
  • Communicate with technical clients occasionally.
  • Design AI/ML algorithms for geological interpretation.
  • Develop algorithms to improve geological models.

Skills

Python programming skills
Strong understanding of sedimentology
Experience with AI/ML frameworks
Excellent communication skills
Teamwork in R&D

Education

Honors degree (2:1 or above) in geoscience

Tools

TensorFlow
PyTorch
Scikit-learn
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

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 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) geoscience.
  • 2 - 5 years relevant industry experience
  • Strong 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.
  • 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.
  • 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

Requisition Number: 204383
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.


Job Segment: Testing, Industrial, Learning, Machinist, Technology, Human Resources, Manufacturing

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.