Machine Learning Engineer

In Technology Group; Birmingham; Remote; GBP 50,000 - 90,000; Full time

Job summary

A leading company is seeking a Machine Learning Engineer specializing in point cloud data processing and AI solutions. The role focuses on enhancing workflows related to Scan2BIM and digital twin creation using advanced machine learning techniques. Candidates should have a strong background in 3D spatial modeling and AI-driven solutions. This position offers flexible working options and the chance to work at the forefront of AI innovation.

Benefits

Flexible working options

Collaborative team environment

Qualifications

• Experience with point cloud data formats like LAS, E57, PLY.
• Familiarity with BIM software ecosystems such as Autodesk Revit.

Responsibilities

• Develop and deploy ML algorithms for 3D point cloud data.
• Collaborate with designers to integrate AI solutions into workflows.

Skills

point cloud data

machine learning

deep learning

3D vision techniques

programming proficiency

Tools

Python

C++

PCL

Open3D

Job description

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Base pay range

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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

• Industries

  IT Services and IT Consulting, Data Infrastructure and Analytics, and Technology, Information and Media

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