ABOUT THE COMPANY
Infleqtion is a global quantum technology company solving the world’s most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables “quantum everywhere” through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications.
LOCATION
Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington, Oxford office. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits.
POSITION SUMMARY
Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You’ll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. This is a high-impact role bridging data science, physics and engineering disciplines.
JOB RESPONSIBILITIES
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties.
- Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance.
- Collaborate with product and engineering teams to integrate predictive models into live quantum sensors.
- Evaluate performance of deployed models and develop tools/pipelines to continuously refine them.
- Analyse large-scale sensor and telemetry data from quantum sensor systems
- Effectively manage technical priorities, meet deadlines, and deliver on project objectives.
Requirements
- Masters degree in a STEM field (maths, science, engineering etc.) or equivalent
- Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch).
- Demonstrable experience in creating and developing Python libraries.
- Demonstrable experience designing, implementing and training machine learning models from scratch.
- Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations.
- Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines.
- Experience writing clean, efficient, and modular code suitable for production environments.
Desirable Skills or Knowledge
- Familiarity with AMO physics or quantum machine learning.
- Experience with MLOps best practices.
- Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines.
- Experience with cloud platforms (AWS, Azure, GCP).
- Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM).
- Solid grasp of control theory concepts (e.g., PID controllers, Kalman Filters, Model Predictive Control, Reinforcement Learning).
- Familiarity with lower-level development of data pipelines in e.g. C++/Rust.
Benefits
STARTING COMPENSATION
In addition to your base compensation, we offer a generous Total Rewards program which includes:
- Competitive salary
- Unlimited PTO
- Generous company 10% pension contribution regardless of employee contribution
- Cycle to work scheme
- Tax efficient technology schemes
- Incentive Stock Option Plan
- BUPA Private Healthcare Insurance once probationary period is successfully completed
CONTACT INFORMATION
If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation, please feel free to contact us at .
