Staff Computer Vision Engineer, Neurolabs
£127.5-150k
+ Equity share options
More information about location
2-3 days a week in office
Business processes automation software
Open for applications
Business processes automation software
21-100 employees
Open for applications
£127.5-150k
+ Equity share options
More information about location
2-3 days a week in office
21-100 employees
Company mission
Setting the global standard for image recognition.
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- In-store execution is broken - slow, manual, outdated.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.
Working with leading CPG brands, Neurolabs' Image Recognition technology utilises synthetic data and digital twins. It combines advanced machine learning techniques and CGI models to create large sets of perfectly labelled data that is optimised for CV, giving its customers scalable and accurate insights. 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 2025 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
$8.1m
SERIES A
May 2022
$3.9m
SEED
Total funding: $13.3m
Company benefits
- Share Equity Options: We’re on an ambitious path and when we succeed, it’s a collective win. You’ll be offered equity share options, allowing you to partake in the value you help build.
- Culture of inclusivity: We thrive when we’re authentic with one another, fostering an environment filled with kindness, openness and trust where every voice matters and everyone feels like a vital part of our journey.
- Time off that suits you: Enjoy a total of 34 days off (annual leave and bank holidays) to unwind and recharge.
- Hybrid-Working Model: We decide together what balance works best between home and our vibrant London office near King’s Cross.
- Private Medical Insurance: After your probation, you will be eligible to receive private medical coverage that prioritises both your physical and mental health, including dental, optical and travel insurance.
- Cycle to Work Scheme: Save on the cost of a new bike and accessories through our tax-efficient scheme, making it easier to choose a healthier, greener commute.
Company values
- We Focus on Outcomes: We deliver real outcomes for our customers by owning the initiative, staying open, and honest.
- We're Fast & Curious: We get stuff done by continuously learning and iterating rapidly with ownership and accountability.
- We Play to Win: We’re in a race and we’re here to win by building something meaningful together with our customers.
Company HQ
Kings Cross, London, N1 9UZ
Articles
Leadership
Paul Pop
(Co-Founder & CEO)Previously a Computer Vision Lead at Hudl and a 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 a Technology Analyst at J.P. Morgan before obtaining a PhD in Machine Learning from the University of Edinburgh.
People progressing
Flaviu grew from ML Intern to Engineering Lead at Neurolabs in his 6 year tenure. He is known for his curiosity, warmth, and commitment to both his own growth and that of his team.
Diversity, Equity & Inclusion at Neurolabs
Chelsea Wightman (People Operations Lead)
- At Neurolabs, inclusion isn’t an add-on, it’s how we work every day. Our values push us to listen, respect, and represent diverse perspectives so everyone feels they belong. We're intentional about building a workplace where different voices shape how we grow and collaborate. We create space for curiosity, give people the autonomy to thrive, and make sure opportunities and recognition are shared fairly. For us, DE&I runs through everything we do - from how we support and develop one another to how we celebrate successes together as one team.
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