Machnet Medical Robotics
AI and Data Verification Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About Us
Machnet Medical Robotics (MMR), founded in 2020, is on a mission to revolutionise medical robotics. Our guiding principle is simple: innovation must improve patient outcomes, support clinicians without disrupting workflows, and empower healthcare staff rather than adding burden.
MMR is a well-funded company with long-term investors and a strong financial foundation. Our hardware and software teams have developed a fully functional medical robotic platform that has successfully completed animal trials. As we move into the next phase, we are refining the mechanical design for production with a focus on safety, reliability, manufacturability, and scalability, preparing our technology for deployment in hospitals worldwide.
About the Role
We are seeking an AI and Data Verification Engineer to lead the independent verification of machine learning, data and supporting software within our medical robotic platform.
In this role, you will define and implement verification approaches for machine learning performance, datasets, data processing pipelines and supporting software. You will independently assess candidate models against defined requirements and acceptance criteria, verify the integrity and traceability of data used for evaluation, and ensure that model performance is supported by appropriate and reproducible evidence.
You will work closely with AI, software and systems engineers while maintaining appropriate independence between model development and verification. This is a technical role combining machine learning evaluation, data analysis, statistical methods and software test automation.
Key Responsibilities
- Define verification protocols and test approaches based on software requirements and identified risks
- Design and implement independent verification for machine learning models, datasets, data acquisition and supporting software
- Manage independent test datasets and verify dataset integrity, provenance, traceability and separation between training, validation and test data
- Independently assess model performance against defined requirements, including comparison with ground truth and previously released models
- Verify annotation quality and consistency, including agreement between independent annotators
- Develop Python based automated tests, test utilities and test harnesses, using BDD and other appropriate verification methods
- Verify data acquisition and processing, including data integrity, completeness, provenance, traceability, metadata, timestamping and synchronisation
- Produce reproducible verification evidence and reports to support software and model release
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who We’re Looking For
- Experience in verification or testing of machine learning, computer vision or data driven software systems
- Strong Python skills, including test automation and data analysis
- Good understanding of machine learning evaluation, including datasets, ground truth, model performance metrics and relevant statistical methods
- Solid understanding of how ML models fail, how deployment changes their behaviour, and how to measure performance with statistical confidence on truly independent data
- Experience working with complex datasets, including data quality, traceability and integrity
- Experience designing verification strategies and test methods from requirements
- Comfortable working within Linux based development and test environments
- Methodical and technically curious, with the ability to investigate complex problems and work independently
- Comfortable collaborating with AI, software, systems and test engineers in a fast paced startup environment
- Eligibility to work on site at our central London office


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Experience We Value
- Experience with computer vision or medical image analysis
- Experience with ML pipelines, model lifecycle tooling, dataset versioning and reproducibility
- Experience testing software in regulated or safety critical environments
- Experience with medical device software and familiarity with standards such as IEC 62304 and ISO 13485
Why Join Us?
At MMR, you will work at the intersection of robotics, AI, and healthcare, building technology that directly impacts patient care and clinical outcomes. You will join a mission-driven, collaborative team where your technical expertise will meaningfully shape the future of medical robotics. We believe technology must serve people responsibly. Human-centred innovation, integrity, and long-term responsibility guide how we design products and how we support our team members’ growth and well-being.
What We Offer
- An international, interdisciplinary team based in Central London and Zwolle, Netherlands
- A collaborative and supportive workplace culture within a growing medical device and robotics startup
- A central London office with a well-equipped prototyping and development space
- Ongoing professional development through training, workshops, and conferences
- Competitive salary package including pension contribution
- Employee wellbeing benefits, including gym membership and cycle to work scheme
- Regular team socials, office events, and Friday treats
- An inclusive environment where people are encouraged to learn, contribute, and grow professionally
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location