Machine Learning Engineer
DEIMOS is looking for an engineer to join the Computer Vision/Artificial Intelligence (CV/AI) Competence Centre of the Avionics Business Unit, Flight Systems Directorate.
This role focuses on supporting Deimos’ AI/CV flight systems team in researching, developing, deploying and scaling our computer vision portfolio for onboard processing applications in Space. You will work on Machine Learning projects and products throughout their lifecycle – from early-phase R&D activities to productization and deployment.
The work of the AI/CV Competence Centre is oriented to the design, development, specification, and validation of Computer Vision solutions for embedded flight segment applications, including real-time advanced onboard data processing and intelligent decision making.
This preferred locations for this role are either Harwell, UK, or Madrid, Spain, although other Deimos sites may also be considered.
Duties:
The main responsibilities are:
Research, design, implement, and deploy machine learning models and algorithms that address specific challenges and opportunities related to on-board processing in Space. Collaborate with team-members and clients across Europe to understand project requirements, objectives, and constraints. Process and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines.
Education:
Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
Professional Experience:
The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively.
Technical Requirements:
Required:
Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques.
Highly Desirable:
Experience working on aerospace-related projects Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT)
Language Skills:
Good level of English, spoken and written
Personal Skills:
Capability to integrate in and work within a trans-European team Solid organisational, analytical and reporting skills Autonomy and willingness to take initiative Excellent communication skills Energetic, positive team player mentality
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