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.

Under general supervision, you will:

1. Apply theories, principles, and practices to research and develop new and improved products, processes, and procedures.
2. Perform research and experimentation at the direction of technology leadership.
3. Communicate occasionally with technical clients.

Responsibilities include:

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

Collaboration & Innovation:

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

We are looking for the right people—those who want to innovate, achieve, grow, and lead. We attract and retain top talent by investing in our employees and empowering their development. Experience the challenges, rewards, and opportunities of working for one of the world's largest providers of products and services to the global energy industry.

Minimum qualifications include:

• Honors degree (2:1 or above) and postgraduate qualification in geoscience.
• Minimum of 4 years related work experience.
• In-depth understanding of geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
• Experience 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.

Preferred qualifications include:

• PhD in geoscience.
• Proven application of AI/ML in geoscience projects.
• Experience with the energy sector.
• Familiarity with geological process modelling.

Compensation is competitive and commensurate with experience.