National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Artificial Intelligence Engineer

Nexus Additive
London
2 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer - Agentic bioimage data platform

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Lecturer in Software Systems, Artificial Intelligence and Data Engineering

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
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.