AI Modelling and Simulation Engineer

AI Modelling and Simulation Engineer

Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Develop and optimise AI modelling and simulation frameworks for cutting-edge computing technology.
  • Company: Innovative deep-tech company tackling modern AI challenges.
  • Benefits: Competitive salary, equity, and comprehensive benefits package.
  • Other info: Join a talented team with opportunities for ownership and impact.
  • Why this job: Shape the future of AI acceleration and influence key engineering decisions.
  • Qualifications: Experience in simulation, performance analysis, and system architecture.

The predicted salary is between 63000 - 77000 £ per year.

I'm working with an innovative deep-tech company developing next-generation computing technology designed to overcome some of the biggest performance and efficiency challenges facing modern AI. They're building a new class of AI acceleration platform that enables complex workloads to run faster, more efficiently, and at significantly lower cost than traditional approaches. This is an opportunity for an AI Modelling and Simulation Engineer to join a highly talented team and play a crucial role in shaping the architecture of a breakthrough computing platform.

What they're looking for:

  • Experience building simulation, modelling, or performance-analysis frameworks for complex technical systems
  • Strong understanding of system architecture, concurrency, performance bottlenecks, and optimisation
  • Experience benchmarking workloads and correlating modelled versus real-world performance
  • Experience designing scalable engineering tools and workflows
  • Ability to lead technical initiatives and influence architectural decisions
  • Experience working across software, systems, and engineering teams

Why consider it:

  • Join a highly technical team developing innovative next-generation technology
  • Take ownership of a critical modelling and simulation capability
  • Influence key product, architecture, and engineering decisions
  • Competitive salary, equity, and benefits package

Please contact Chris Amison for more information.

AI Modelling and Simulation Engineer employer: Intellectual Capital Resources

Join a dynamic team where innovation meets collaboration, as we empower our Opto Mechanical Engineers to transform cutting-edge optical concepts into tangible products. Our supportive work culture fosters continuous learning and professional growth, with hands-on opportunities in a state-of-the-art laboratory environment. Located in a vibrant area, we offer competitive benefits and a chance to work alongside industry experts, making this an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Intellectual Capital Resources Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Modelling and Simulation Engineer

✨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 Intellectual Capital Resources 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 Intellectual Capital Resources.

✨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 Intellectual Capital Resources.

✨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 Intellectual Capital Resources 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 AI Modelling and Simulation Engineer

Simulation Framework Development
Modelling Framework Development
Performance Analysis
System Architecture Understanding
Concurrency Management
Performance Bottleneck Identification
Optimisation Techniques

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 Intellectual Capital Resources.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intellectual Capital Resources 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 Intellectual Capital Resources

✨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 Intellectual Capital Resources 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.