AI Data Scientist
Listed on 2026-02-27
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Engineering
AI Engineer
Full time London (UK) / Hybrid 20 FEB 2026
AI Data Scientist About SpacefluxSpaceflux is a leading UK-based space situational awareness company operating a global network of optical observatories. We provide critical space domain awareness services to commercial satellite operators and governments. Our Cortex platform leverages advanced AI and machine learning to deliver real‑time intelligence on the space environment, supporting the safety and sustainability of space operations.
Job OverviewWe are seeking an exceptional AI Data Scientist to join our growing team. In this role, you will develop and deploy cutting‑edge machine learning solutions for analysing complex astronomical and orbital data. You will work at the intersection of artificial intelligence and space surveillance, building intelligent systems that extract actionable insights from challenging, real‑world datasets.
This is a unique opportunity to apply advanced AI techniques to one of the most demanding data analysis domains: detecting, tracking, and characterising objects in space from ground‑based observations.
Key Responsibilities- Design, develop, and deploy AI/ML models for image analysis and object detection in astronomical imagery
- Build end‑to‑end data analysis pipelines that integrate machine learning at scale
- Develop novel approaches for extracting signals from low signal‑to‑noise ratio data
- Apply and extend techniques for modelling nonlinear dynamical systems
- Collaborate with software engineers to product ionise models within the Cortex platform
- Work with optical sensor data to improve detection, tracking, and characterisation capabilities
- Contribute to research and development initiatives, including grant‑funded projects
- Contribute to academic supervision of interns and university co‑sponsored students
- Stay current with advances in deep learning, computer vision, and relevant scientific domains
- PhD or MSc in a quantitative discipline (Computer Science, Physics, Mathematics, Engineering, or related field), or equivalent industry experience
- Demonstrated expertise in image analysis and computer vision, including deep learning approaches (CNNs, transformers, etc.)
- Proven experience building production‑grade AI/ML data analysis pipelines from scratch
- Strong track record working with low signal‑to‑noise data and developing robust detection/extraction methods
- Experience with nonlinear systems modelling and/or time‑series analysis
- Proficiency in Python and ML frameworks (PyTorch, Tensor Flow, or JAX)
- Familiarity with MLOps practices and tools for model deployment and monitoring
- Strong mathematical foundations in statistics, probability, and optimisation
- Ability to work independently and drive projects from concept to deployment
- Excellent problem‑solving skills and scientific rigour
- Strong communication skills, with ability to explain complex technical concepts to diverse audiences
- Experience in space situational awareness (SSA), space domain awareness (SDA), or related fields (e.g., satellite tracking, space surveillance, debris monitoring)
- Background in orbital mechanics and astrodynamics, including orbit determination and propagation
- Experience with astronomical image processing and photometry
- Familiarity with Bayesian inference methods and probabilistic programming
- Knowledge of simulation‑based inference or likelihood‑free methods
- Experience with sensor fusion or multi‑modal data integration
- Prior work in defence, intelligence, or national security contexts
- Publications in relevant peer‑reviewed venues
- Opportunity to work on genuinely novel problems at the frontier of AI and space technology
- Collaborative environment bridging academic research and commercial application
- Competitive salary commensurate with experience
- Flexible working arrangements
- Opportunity to contribute to the safety and sustainability of the space environment
- Professional development and conference attendance
- Pension scheme, private health care and other benefits
Please submit your CV along with a cover letter explaining your interest in the role and relevant experience. We welcome applications from candidates with non‑traditional backgrounds who can demonstrate the required technical capabilities.
Spaceflux Ltd is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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