Senior ML Engineer - Multi-Scale AI for Hardware in London

Senior ML Engineer - Multi-Scale AI for Hardware in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Orbital

At a Glance

  • Tasks: Architect AI systems for cutting-edge hardware design and drive production deployment.
  • Company: Orbital, an innovative AI-first industrial company.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on frontier ML research.
  • Why this job: Join a pioneering team and shape the future of technology with your expertise.
  • Qualifications: Experience in machine learning and a passion for innovative engineering.

The predicted salary is between 80000 - 100000 £ per year.

Orbital, an AI-first industrial company building hardware from the atoms up, is seeking a Senior Machine Learning Engineer.

You will architect AI systems for multi-scale design of physical technologies, enabling simulations from atoms to fluids in 1GW data centers.

You will set high engineering standards, drive production deployment, and push frontier ML research across foundation models, generative AI, and domain agents, collaborating with cross-disciplinary teams.

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Senior ML Engineer - Multi-Scale AI for Hardware in London employer: Orbital

At Orbital, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Strategic Customer Success Lead role offers not only competitive benefits but also ample opportunities for professional growth and development in the dynamic field of global B2B payments. Located in a vibrant area, our team enjoys a supportive environment where creativity and strategic thinking are encouraged, making it a truly rewarding place to advance your career.

Orbital

Contact Details:

Orbital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer - Multi-Scale AI for Hardware in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Orbital or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Orbital.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Orbital.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Orbital that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior ML Engineer - Multi-Scale AI for Hardware in London

Machine Learning
AI System Architecture
Multi-Scale Design
Simulation Modelling
Production Deployment
Foundation Models
Generative AI

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Orbital.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Orbital and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Orbital

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Orbital uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.