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- Tasks: Join our team to develop AI solutions for 3D point cloud data and enhance digital workflows.
- Company: In Technology Group is a leading UK design team focused on innovative data modelling and AI technologies.
- Benefits: Enjoy flexible working options, a creative team environment, and the chance to work with cutting-edge technology.
- Why this job: Be at the forefront of AI innovation while collaborating with talented professionals in a supportive culture.
- Qualifications: Experience with point cloud data, machine learning frameworks, and programming in Python or C++ is essential.
- Other info: Remote work with occasional travel; salary ranges from £50,000 to £90,000 based on experience.
The predicted salary is between 40000 - 72000 £ per year.
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This range is provided by In Technology Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from In Technology Group
Head of Data, BI, and AI @ In Technology Group.
Job Title: Machine Learning Engineer – Point Cloud & AI Solutions
Location: Birmingham – Remote (occasional travel)
Salary: £50,000 – £90,000 DOE (Very flexible)
About Us
We are a multidisciplinary UK design and modelling team specialising in data-rich models derived from point cloud scans. Our work supports BIM exercises, photogrammetry, digital twin development, high-fidelity visualisation, and scalable portfolio modelling. Our mission is to continuously enhance laser scanning and Scan2BIM workflows using smart, efficient, and AI-driven technologies.
Role Overview
We are seeking a highly skilled Machine Learning Engineer with a strong background in point cloud data processing , 3D spatial modelling , and the development of AI/ML-driven solutions to join our innovation team. This role will focus on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution visualisation through the integration of machine learning and AI.
Key Responsibilities
- Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection).
- Build AI tools to automate BIM modelling tasks, such as feature extraction, geometry reconstruction, and data labeling.
- Collaborate with designers and modellers to integrate AI solutions into Autodesk Revit, CAD, and game engine pipelines.
- Design and train deep learning models for real-time analysis of photogrammetry and LiDAR data.
- Contribute to the continuous improvement of our Scan2BIM workflows through research, prototyping, and tool development.
- Ensure scalability and robustness of AI/ML pipelines in production environments.
- Stay current with advances in 3D computer vision, BIM automation, and AI in construction technology.
Required Skills & Experience
- Proven experience with point cloud data , including formats such as LAS, E57, PLY, and related toolkits (e.g., PCL, Open3D).
- Strong background in machine learning and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience with 3D vision techniques including semantic segmentation , shape detection , and scene reconstruction .
- Familiarity with BIM software ecosystems (e.g., Autodesk Revit, Navisworks) and CAD interoperability.
- Programming proficiency in Python, C++, or similar languages used for ML and 3D data handling.
- Understanding of photogrammetry, LiDAR, and reality capture methods.
- Knowledge of ISO 19650, PAS 1192 and BIM Level 2 workflows is a plus.
Nice to Have
- Experience integrating ML models into Unreal Engine or Unity for real-time visualisation.
- Experience with synthetic data generation for training ML models on 3D datasets.
- Publications or personal projects in 3D vision or Scan2BIM automation.
What We Offer
- A chance to work at the forefront of AI and reality capture innovation.
- Collaborative and creative multidisciplinary team environment.
- Flexible working options and supportive company culture.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Design, Information Technology, and Analyst
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Industries
IT Services and IT Consulting, Data Infrastructure and Analytics, and Technology, Information and Media
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Machine Learning Engineer employer: In Technology Group
Contact Detail:
In Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific point cloud data formats mentioned in the job description, such as LAS and E57. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the latest advancements in machine learning frameworks like PyTorch and TensorFlow. Consider contributing to open-source projects or creating personal projects that demonstrate your ability to develop ML algorithms for 3D data processing.
✨Tip Number 3
Network with professionals in the BIM and AI sectors through platforms like LinkedIn. Join relevant groups and participate in discussions to increase your visibility and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss how you would integrate AI solutions into existing software like Autodesk Revit. Having a clear understanding of the challenges and potential solutions in this area will show your proactive approach and technical knowledge during interviews.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with point cloud data processing, machine learning frameworks, and any relevant projects. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and 3D spatial modelling. Mention specific experiences that relate to the key responsibilities of the role, such as developing ML algorithms or collaborating on BIM projects.
Showcase Relevant Projects: If you have personal projects or publications related to 3D vision or Scan2BIM automation, include them in your application. This demonstrates your initiative and expertise in the field.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical role like this.
How to prepare for a job interview at In Technology Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with point cloud data and machine learning frameworks like PyTorch or TensorFlow. Bring examples of past projects where you've successfully implemented ML algorithms, especially in 3D spatial modelling.
✨Understand the Company’s Focus
Research In Technology Group's work in BIM and AI-driven technologies. Familiarise yourself with their projects related to Scan2BIM and digital twin development, as this will help you align your answers with their mission during the interview.
✨Prepare for Practical Assessments
Expect to demonstrate your problem-solving skills through practical assessments or coding challenges. Brush up on your programming proficiency in Python or C++, and be ready to tackle real-world scenarios related to 3D data handling.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future innovations in AI and reality capture. This shows your genuine interest in the role and helps you gauge if the company culture is a good fit for you.
