Staff Computer Vision Engineer, Neurolabs
£127.5-150k
+ Equity share options
More information about location
2 days a week in office
Business processes automation software
Be an early applicant
Business processes automation software
21-100 employees
Be an early applicant
£127.5-150k
+ Equity share options
More information about location
2 days a week in office
21-100 employees
Company mission
Neurolabs' mission is to democratise computer vision.
Role
Who you are
- You’ll bring deep technical experience, scientific rigour and a product-aware mindset to the table
- This is a role for someone who loves solving tough problems, staying hands-on and helping shape how a team works and wins together
- PhD or equivalent experience in Computer Vision, Machine Learning or a related field
- Proven track record developing and deploying large-scale CV models in production
- Strong programming skills in Python, with hands-on experience in PyTorch or TensorFlow
- Deep understanding of modern CV architectures - particularly large vision models and Transformers
- Experience with multimodal data (images, video, text) is highly desirable
- Experience with MLOps tools and workflows
- You’re hands-on and self-directed, with a strong sense of ownership
- You think clearly, test quickly, and iterate based on evidence - not instinct
- You care about code quality, model performance, and business value
- You collaborate well across functions and share knowledge generously
- You communicate technical findings clearly to both technical and non-technical stakeholders
What the job involves
- We’re looking for a Staff Computer Vision Engineer to join our team and play a key role in scaling our vision AI product into a robust, performant, production-grade system
- In-store execution is broken - slow, manual, outdated. We're fixing that
- At the core of our platform is a Computer Vision engine powered by synthetic data, large vision models and smart pipelines
- We're moving fast, solving hard problems and scaling globally. You’ll be central to how we grow and evolve this function
- Your mission: turn complex vision problems into practical, scalable solutions
- Lead the design, training, and optimisation of CV models across detection, recognition, segmentation and tracking tasks
- Balance performance, latency, and reliability to ensure models work in dynamic retail environments and across varied shelf conditions
- Advance our synthetic data generation pipeline - scaling diversity, improving generalisation and applying domain adaptation strategies that boost robustness
- Improve the performance, reliability, and scalability of our in-house LVM - shaping it into a best-in-class system
- Help design and deploy a highly generalisable LVM tailored for retail, balancing size, speed and adaptability across real-world use cases
- Test new approaches rigorously, validate performance, and productionise what’s effective
- Use PyTorch (or similar frameworks) for fast, iterative experimentation
- Contribute to model evaluation, benchmarking and continuous improvement
- Collaborate with Product, Infrastructure, and Customer teams to deliver models that integrate seamlessly into field workflows
- Align technical direction with business goals and guide thinking through technical leadership — no line management required
- Ensure clean, reliable and well-managed data sits at the heart of all model development
- Contribute to scalable MLOps and automation systems that keep deployment smooth and experimentation fast
- We’re a tight-knit team who:
- Move fast and learn continuously – We iterate quickly and hold a high bar for quality
- Focus on outcomes – We care about real-world results for our customers and we do this by owning the initiative, staying open and honest
- Play to win – We’re building something meaningful with our customers and we want to be the best at it
Salary benchmarks
Our take
Neurolabs is a Computer Vision (CV) platform allowing users to build custom image recognition algorithms using 3D models. It substitutes the expensive and rare real-world data required to train CV algorithms with synthetically generated data to provide massive, rich and diverse low-cost data sets at a fraction of the cost and time.
Synthetic Data combines advanced machine learning techniques and CGI models to create large sets of perfectly labelled data that is optimised for CV. The company’s proprietary CV technology enables rapid state-of-the-art development of object recognition solutions across multiple use cases and industries, accelerating the automation of repetitive visual tasks.
Its technology empowers both small and large customers to implement CV applications with minimal resources and costs — no coding required, no tedious data labelling, and no image gathering. Its partners use the technology to automate generic object recognition tasks in industries ranging from hospitality to retail and manufacturing.
Although ‘automation’ is a term that is often associated with job losses, Neurolabs’ vision is to enhance the capabilities of workers, not replace them outright. With its recent Series A funding, it plans to grow its team and expand its presence across the UK, European and US markets.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Apr 2025
$8m
SERIES A
May 2022
$3.9m
SEED
Total funding: $13.2m
Company benefits
- Equity options
- Flexible working hours from home or our offices in Edinburgh or London
- 34 days annual leave (incl. public holidays in your residence country)
- Bi-annual company retreat and bi-annual team meetings (workation)
- Private medical insurance, including mental health, dental, opticians cover, and business as well as personal travel insurance.
- Cycle to Work Scheme
Company values
- We're purposeful → We're driven towards something that motivates us intrinsically
- We're authentic → We are strongly against 'rule'-based, pretend behaviour. We will always work to make Neurolabs a place where all of us can be our real selves
- We're reliable → Getting things done and taking responsibility for your work is critical
- We're respectful → We all come from diverse backgrounds and therefore must work to understand, appreciate and celebrate our differences
- We're a community → We are supportive, kind and generous to each other
Company HQ
City of London, London, UK
Articles
Leadership
Paul Pop
(Co-Founder & CEO)Previously Computer Vision Lead at Hudl and software engineer at Schlumberger.
Remus Pop
(Co-Founder & CRO)Former market risk analyst at Bank of America & has a Master of Science in AI.
Patric Fulop
(Co-Founder & CTO)Previous Technology Analyst at J.P. Morgan before obtaining a PhD in Machine Learning from the University of Edinburgh.
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