Lead Mechatronics and Systems Engineer - Preclinical Research
This listing is for a Lead Mechatronics and Systems Engineer - Preclinical Research role at Netholabs, in London, United Kingdom. The listing describes it as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Lead Mechatronics and Systems Engineer - Preclinical Research role at Netholabs, in London, United Kingdom. The listing describes it as a full-time, senior position.
The advert names Python as a skill for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 10, 2026.
- Employer
- Netholabs
- Location
- London, United Kingdom
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Found
- Nov 10, 2026 on Arbeitnow
- Employer text
- 271 words, about 1 min to read
- Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python) in your CV where you really have them; applicant tracking systems look for these words.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
- Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
- Global Talent visa: Endorsement as a leader or potential leader in a listed field
Official routes: UK Visas and Immigration (GOV.UK)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
Type: Fixed-term or Full-time
Location: London · On-site · May require occasional travel
01The Role
We are building integrated human and non-human motion-capture and neurophysiological recording systems for both controlled lab studies and naturalistic, in-the-wild data collection.
We are looking for an experienced researcher engineer that is hands-on to own the London capture site across both lab and field settings: set up and run the hardware, import and enforce best-practice capture protocols, and ensure every session executes reliably and reproducibly. This is an operational role: you'll take defined capture standards and make them run at scale, not design the science.
02Experimental Operations
Implement and maintain streamlined, minimal capture protocols
Import and operationalize best-practice standards for human mocap
Prepare and run recording sessions
Maintain clear SOPs and documentation
Ensure sessions are reproducible and well logged
03Hardware & Systems
Set up and maintain motion-capture and neurophysiological recording systems
Integrate all devices on a shared clock (video, kinematics, physiological streams)
Troubleshoot signal, sync, and capture-quality issues
Assemble and maintain multi-camera / multi-sensor rigs
Manage equipment inventory, calibration, and camera setup
04Infrastructure
Oversee lab layout and capture-space setup
Maintain structured data storage, formats, and backups
Coordinate procurement and supplier communication
05Core (essential)
Experience with human motion capture (marker-based, markerless/computer-vision, or IMU-suit systems)
Multi-camera calibration and time synchronization
Strong hardware troubleshooting ability
Comfortable with embedded systems
Basic Python scripting
Organized and systematic; disciplined about documentation and reproducibility
06Valued
Hand / finger kinematics capture and video pipelines
Structured data formats (e.g. HDF5) and reproducible data logging
Experience with physiological recording systems (EEG or similar), or willingness to cross-train
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