Senior ML Engineer — Arctic Physics & Insight

Arctic Research and Development; Nordown; On-site; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Private Health Insurance

Dental & Optician

Equity — meaningful options

Real field exposure

Mission-driven culture

Small team, real ownership

Job summary

Arctic Research and Development is seeking an ML Engineer to lead the Analyse-and-ML workstream for their Cryosphere project in the Arctic. You will own the integration of physics and machine learning, developing fast, trustworthy pipelines that ingest diverse remotely sensed data and produce defensible, production-ready outputs.

The role is a first science hire, reporting to the Science Lead and shaping the team, with responsibilities spanning model development, uncertainty quantification, and

Qualifications

• PhD or equivalent research track record in a physical, geophysical, computational, or ML discipline, with work at the physics–ML interface.
• Fluency with uncertainty quantification and validating models against real measurements.
• GIS or geospatial data handling.
• Machine learning or data science background.
• Strong scientific software engineering: production-quality Python, reproducibility, version control, testing.
• Seniority to own a workstream and to set direction independently.

Responsibilities

• Distil reference physics into fast operators — build emulators / surrogates.
• Own the forward-to-inverse bridge — invert hyperspectral and multispectral imagery into physical quantities with physics constraints.
• Bake in uncertainty quantification, provenance, and validation against cold-lab and field measurements.
• Set the technical bar for physics ⇄ ML across the science team and mentor subsequent hires.
• Ship into the platform — ensure models land in production.

Skills

Uncertainty quantification

GIS / geospatial data handling

Machine learning

Scientific software engineering

Senior workstream ownership

Education

PhD or equivalent research track record at physics–ML interface

Tools

Python

Job description

Arctic Research and Development is seeking an ML Engineer to lead the Analyse-and-ML workstream for their Cryosphere project in the Arctic. You will own the integration of physics and machine learning, developing fast, trustworthy pipelines that ingest diverse remotely sensed data and produce defensible, production-ready outputs.

The role is a first science hire, reporting to the Science Lead and shaping the team, with responsibilities spanning model development, uncertainty quantification, and