AI Engineer

NexusAM is transforming metal additive manufacturing by tackling its biggest barrier: the prohibitive cost of part qualification. Our platform cuts qualification time and costs while ensuring traceable, consistent quality.

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

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 optimising 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

#J-18808-Ljbffr

Full job description from WhatJobs. Apply for this role →