AI Engineer

Nexus Additive Ltd.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Healthcare package

Central London office

Job summary

NexusAM in London is seeking an AI Engineer to advance the company's core technology for multi-modal sensor data, shaping products for aerospace, medical, and automotive sectors.

You will join a founding-stage technical team, building novel models, data-augmentation strategies, and evaluation frameworks, with immediate impact on the roadmap.

Candidates should have a PhD, 2+ years of real-world AI experience, and be eligible to work in the UK; in-person collaboration in central London is required.

Qualifications

• PhD in computer science, physics, engineering or related field with significant ML focus.
• 2+ years building and deploying real-world AI systems solving business problems.
• Eligible to work in the UK.

Responsibilities

• Architect and train models from multi-modal sensor data.
• Pioneer pre-training and data augmentation for limited data.
• Develop evaluation frameworks for model uncertainty in safety-critical apps.
• Collaborate with software team to deploy models in resource-constrained environments.

Skills

Machine learning fundamentals

Deep learning (CNNs, time-series, TL)

AI system deployment

Problem solving

UK work eligibility

Education

PhD in CS/Physics/Engineering with ML focus

Tools

C++ deployment optimization

Job description

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.

Location:

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