Quantum Software - Data Scientist
Bradford, West Yorkshire, EX22, England, UK
Listed on 2026-08-24
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
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.
Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position split between our Kidlington, Oxford office and the National Quantum Computing Centre, Harwell. Work from home permitted up to 2 days per week based on business needs and manager approval. Candidate will need to be able to travel independently to these locations, as required.
POSITION SUMMARYInfleqtion 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 RESPONSIBILITIESThe 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.
- Masters degree in a STEM field (maths, science, engineering etc.) or equivalent
- Strong programming skills in Python (e.g., Num Py, Pandas, scikit-learn, Tensor Flow/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.
- 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.
Up to 10% travel, including international travel, may be required
Working conditions andPhysical Requirements
Work will normally be performed in an office and laboratory environment. Able to efficiently use automated office equipment such as laptops, copiers, and printers; able to effectively engage in communications (via phone, computer, or in-person). Will involve sitting, standing, walking, lifting, and carrying up to 10 kg.
Equal OpportunityRegardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria.
If you believe you have the potential but don't meet every single point…
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