Sanderson
Computer Vision Engineer

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Machine Learning Engineer/ Computer Vision Engineer
We are working with an innovative UK technology business developing AI powered software solutions that combine multiple data sources to deliver intelligent situational awareness and real time insights. Their technology. As a growing organisation, they are offering the opportunity to work on technically challenging problems with real world impact, building products that are deployed across cloud, edge and on premise environments
Location - Bristol - two days a week onsite
Salary - Up to £85,000
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.
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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.
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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.
The Role


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As a Machine Learning Engineer, you will play a key role in designing, developing and deploying advanced computer vision and machine learning solutions. You will be working with large scale image datasets and developing high performance models for real world applications. Working as part of a small engineering team, you will have significant ownership of technical solutions while collaborating closely with colleagues across the business
Key Skills
- Strong commercial experience with Python and PyTorch
- Proven expertise in Computer Vision rather than general Machine Learning or LLMs
- Experience in developing and deploying production ready machine learning models
- Strong understanding of the full ML lifecycles, from model deployments through to deployment
- Experience working with large scale image datasets
- Knowledge of object detection, tracking, classification or similar computer vision techniques
- Experience with model optimisation and Performance tuning
- Exposure to edge inference and deploying models in production
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