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- Tasks: Extract and structure data from XR simulations and build multimodal models.
- Company: Join FourPlus Immersive, a leader in XR and AI solutions for life sciences.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on high-impact, applied challenges.
- Why this job: Make a real impact in healthcare by developing cutting-edge machine learning systems.
- Qualifications: Experience building end-to-end ML systems and handling messy data.
The predicted salary is between 50000 - 70000 ÂŁ per year.
FourPlus Immersive specializes in developing cutting-edge software solutions that combine XR (extended reality) and AI. Their flagship product, Eclipse Creator, supports the life sciences sector through skills training, process workflow mapping, and recruitment tools for healthcare professionals and pharmaceutical manufacturers. Leveraging expertise in immersive technology, FourPlus addresses challenges posed by advanced therapies, propelling the modernization of medicine production. With a focus on transforming business practices and accelerating the delivery of revolutionary treatments, FourPlus is a key contributor to the advancements of Industry 4.0 in life sciences.
What you'll work on:
- Extracting and structuring data from XR simulations (Unity/Unreal)
- Turning human behaviour into usable datasets
- Building multimodal models (interaction data + video + SOPs)
- Developing systems like deviation detection, performance scoring, and AI feedback
This role is for you if:
- You’ve built ML systems end-to-end (not just models)
- You’re comfortable working with messy, real-world data
- You like defining structure where none exists
- You want to work on something hard, applied, and high-impact
This is not:
- A pure research role
- A “train models on clean datasets” job
- A backend-only position
Stack (flexible): Python, PyTorch, CV/vision models, LLMs, XR data (Unreal)
If you are based in the UK and think you align with the above spec please get in touch.
Machine Learning Engineer (XR and Multimodal AI) in Birmingham employer: FourPlus Immersive
Contact Detail:
FourPlus Immersive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (XR and Multimodal AI) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving XR and AI. We love seeing real-world applications of your work, so make sure to highlight any end-to-end ML systems you've built.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. We recommend practising common ML scenarios and being ready to discuss how you’d tackle messy data challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who align with our mission in transforming life sciences.
We think you need these skills to ace Machine Learning Engineer (XR and Multimodal AI) in Birmingham
Some tips for your application 🫡
Show Your Passion for AI and XR: When writing your application, let your enthusiasm for AI and XR shine through. We want to see how your interests align with our mission at FourPlus Immersive, so share any relevant projects or experiences that highlight your passion for these technologies.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight your experience with end-to-end ML systems and working with messy data, as these are key aspects of the job. We love seeing candidates who take the time to connect their skills to what we do!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how you can contribute to our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at FourPlus Immersive.
How to prepare for a job interview at FourPlus Immersive
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, PyTorch, and XR data. Brush up on your knowledge of CV models and LLMs, as well as any relevant experience you have with Unity or Unreal. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past work where you've tackled messy, real-world data. Discuss how you structured it and the impact your solutions had. This role is all about turning chaos into order, so demonstrating your ability to define structure will be key.
✨Understand the Business Impact
Familiarise yourself with how FourPlus Immersive's products, like Eclipse Creator, are transforming the life sciences sector. Be ready to discuss how your work as a Machine Learning Engineer can contribute to their mission of modernising medicine production and improving healthcare outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future directions. Inquire about the challenges they face with XR simulations or how they envision the evolution of their AI systems. This shows your genuine interest in the role and helps you assess if it's the right fit for you.