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Nexus Additive

Data Engineer

On site

London, United kingdom

Full Time

01-05-2025

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Expired

Job Specifications

The Opportunity
This is not just another data engineering role. This is your chance to redefine manufacturing.
As our Data engineer, you'll be at the forefront of developing novel computational approaches that are already changing how aerospace, medical, and automotive manufacturers produce their most critical components. You'll join a founding-stage technical team where your contributions will have immediate, visible impact across our product and technology roadmap.

Core Responsibilities
Build novel multi-modal data processing and labelling pipelines (image, time-series and more)
Automate labelling of data processing using the latest AI technologies
Support AI engineers with model training
Database management and scale labelling as inbound data increases

Required Expertise
Master’s or PhD degree in computer science, physics, engineering, or related field with significant machine learning focus
1+ years of hands-on experience building and deploying data pipelines for large datasets
Excellent programming skills in Python and one other language
Exceptional problem-solving abilities with a bias toward practical solutions
Eligible to work in the UK

Preferred Qualifications
Experience deploying and building processing pipelines for image stacks like X-ray CT or similar
Background in manufacturing processes, materials science, or signal processing
Startup experience or demonstrated ability to thrive in ambiguous, fast-paced environments
Experience with cloud platforms (AWS, Azure, GCP)

Why Join Nexus
Impact: Your work will directly enable more sustainable, efficient manufacturing of critical components
Innovation: Work at the bleeding edge of both AI and advanced manufacturing
Team: Join a diverse, multi-disciplinary team of experts passionate about solving meaningful problems

About the Company

Nexus Additive is transforming industrial manufacturing by tackling a critical barrier in metal 3D printing adoption: the prohibitive cost of part qualification. Our proprietary AI technology stack combines real-time process monitoring with predictive intelligence providing in-process inspection capabilities rivalling traditional methods such as X-ray CT. Built on breakthrough research and validated on production systems, our technology allows manufacturers to reduce or eliminate costly, time-consuming and labour-intensive ... Know more