Machine Learning Geoscientist - Jr

Halliburton
Abingdon
1 week ago
Create job alert

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.

 

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
  • 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: 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.

Related Jobs

View all jobs

Machine Learning Geoscientist - Jr

Senior AI Data Scientist

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Team Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.