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- Tasks: Create innovative ML systems using XR and multimodal AI for life sciences.
- Company: Join FourPlus Immersive, a leader in cutting-edge software solutions.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Be part of a dynamic team driving advancements in Industry 4.0.
- Why this job: Make a real impact in healthcare with transformative technology.
- Qualifications: Experience in building end-to-end ML systems and handling complex data.
The predicted salary is between 50000 - 70000 £ 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. 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.
Responsibilities include:
- Extracting and structuring data from XR simulations (Unity/Unreal)
- Building multimodal models (interaction data + video + SOPs)
- Developing systems like deviation detection, performance scoring, and AI feedback
You’ve built ML systems end-to-end (not just models) and you’re comfortable working with messy, real-world data.
Stack (flexible): Python, PyTorch, CV/vision models, LLMs, XR data (Unreal).
Machine Learning Engineer (XR and Multimodal AI) 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)
✨Tip Number 1
Network like a pro! Reach out to professionals in the XR and AI fields on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your end-to-end ML systems and any projects involving messy, real-world data. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer (XR and Multimodal AI)
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with building ML systems end-to-end. We want to see how you've tackled messy data and what tools you've used, like Python and PyTorch. Don't hold back!
Tailor Your Application: Make your application stand out by tailoring it to the job description. Mention your familiarity with XR data and any relevant projects you've worked on. We love seeing how your background aligns with our mission at FourPlus!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Let us know exactly what you bring to the table without fluff!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at FourPlus Immersive
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and XR data. Brush up on your experience with CV models and LLMs, as you might be asked to discuss specific projects where you’ve used these tools.
✨Showcase Your End-to-End Experience
Prepare to talk about your journey in building ML systems from scratch. Highlight specific examples where you’ve taken a project from conception to deployment, especially focusing on how you handled messy, real-world data along the way.
✨Understand the Business Impact
Since FourPlus is all about transforming business practices in life sciences, think about how your work can contribute to this mission. Be ready to discuss how your skills in machine learning can accelerate the delivery of treatments or improve training processes.
✨Prepare for Technical Challenges
Expect some technical questions or challenges during the interview. Practice explaining your thought process clearly and concisely, especially when it comes to building multimodal models or developing systems like deviation detection and performance scoring.