Quantum ML Engineer: Edge ML for Quantum Tech (Unlimited PTO)

Infleqtion UK; Kidlington; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Incentive Stock Option Plan

Generous company 10% pension

Unlimited PTO

BUPA healthcare after probation

Cycle to work and Technology scheme

Job summary

Infleqtion in the United Kingdom is seeking a Machine Learning Engineer to develop ML-driven applications that enhance quantum technologies. You will design and deploy models for signal processing, noise suppression, calibration, and anomaly detection, working closely with experimental and hardware teams to translate complex data into actionable improvements.

The role requires a strong background in applied ML and scientific computing, production-grade software experience, and a passion for

Qualifications

• BS or MS in computer science, mathematics, physics, or a closely related field.
• 2+ years of industrial machine learning experience.
• Proficient in Python for ML model development and data processing.
• Experience with HPC environments and scientific computing.
• Familiar with PyTorch, pandas, scikit-learn.
• Strong communication and cross-functional collaboration.

Responsibilities

• Develop and implement ML models for signal processing and sensor fusion.
• Design data pipelines and validate models on high-dimensional datasets.
• Collaborate with experimental and hardware teams for integration.
• Publish research findings and present at conferences.
• Stay current with ML and sensor fusion advances.
• Mentor team members and support productization efforts.

Skills

Python

Machine learning

Time-series data

Scientific computing

Team collaboration

Communication skills

Education

BS or MS in CS/Math/Physics or related field

Tools

PyTorch

pandas

scikit-learn

Job description

Infleqtion in the United Kingdom is seeking a Machine Learning Engineer to develop ML-driven applications that enhance quantum technologies. You will design and deploy models for signal processing, noise suppression, calibration, and anomaly detection, working closely with experimental and hardware teams to translate complex data into actionable improvements.

The role requires a strong background in applied ML and scientific computing, production-grade software experience, and a passion for