Founding AI Engineer
About Nexus
Nexus is a cutting-edge deep tech startup emerging from Imperial College London, positioned at the intersection of advanced manufacturing and artificial intelligence. We're solving the billion-pound challenge of metal 3D printing qualification and certification that has limited the industry's full potential. Our proprietary technology transforms complex sensor data into real-time actionable insights, enabling manufacturers to dynamically adapt and verify their processes with unprecedented precision.
Founded by a team of experts in AI, materials science, and additive manufacturing, we've already secured partnerships with industry leaders and are backed by investors who believe in our vision to fundamentally transform how critical components are manufactured.
The Opportunity
This is not just another AI role. This is your chance to redefine manufacturing.
As our AI 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
Architect and train sophisticated models using our core technology stack to extract meaningful patterns from multi-modal sensor data
Pioneer novel pre-training and data-augmentation strategies to achieve exceptional generalisation with limited training data
Develop innovative evaluation frameworks that quantify model uncertainty and reliability for safety-critical applications
Partner with our software team to solve complex deployment and inference challenges in resource-constrained environments
Required Expertise
PhD in computer science, physics, engineering, or related field with significant machine learning focus
2+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems
Mastery of machine learning fundamentals with deep understanding of model architecture design
Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning
Exceptional problem-solving abilities with a bias toward practical solutions
Eligible to work in the UK
Preferred Qualifications
Experience deploying AI in regulated or safety-critical environments (aerospace, medical devices, automotive, etc.)
Published research at top-tier AI conferences (NeurIPS, ICML, ICLR, CVPR, ECVA, etc.)
Experience optimizing models for deployment in C++ or other performance-critical environments
Background in manufacturing processes, materials science, or signal processing
Startup experience or demonstrated ability to thrive in ambiguous, fast-paced environments
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
Benefits:
Competitive salary
Comprehensive healthcare package
25 days holiday plus bank holidays
Central London location with excellent facilities (in-person role)
Regular team events and learning opportunities
Application Process
Submit your CV (max 2 pages) and a brief cover letter explaining your interest to careers@nexus-am.com
Include links to your GitHub, research publications, or portfolio of relevant work
Applications are reviewed on a rolling basis, and you can expect to hear from us within 7 days
Our interview process is streamlined to respect your time, typically involving:
Initial conversation with founders (30 min)
Technical discussion with the team (90 min)
Final meet-the-team session (60 min)