Computer Vision Lead, Neurolabs
£110.5-130k
+ Equity share options
More information about location
2-3 days a week in office
Business processes automation software
Be an early applicant
Business processes automation software
21-100 employees
Be an early applicant
£110.5-130k
+ 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
- MSc/MRes/MEng or equivalent experience in Computer Vision, Machine Learning or a related field
- Proven experience leading Computer Vision projects from concept to deployment in production environments
- Experience managing or mentoring engineers – formally or informally with a focus on delivery, development and team wellbeing
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with large vision models and multimodal architectures (e.g. combining vision and text)
- Experience working with cloud infrastructure (e.g. AWS or GCP), and model deployment in real-world, data-constrained environments
- Understanding of MLOps tools and practices, including model versioning, training pipelines and monitoring
- You have a people-first mentality. You create clarity, build trust and support your team to do their best work
- You set expectations thoughtfully, give clear and timely feedback and know how to unblock or redirect when needed
- You take ownership of delivery and help the team stay focused through strong prioritisation and consistent rhythms
- You collaborate with curiosity and confidence, working effectively across functions and aligning technical and non-technical perspectives
- You communicate clearly, adjusting your style for different audiences from engineers to commercial teams to company leadership
- You stay close to the work and contribute to architecture, experimentation and model improvement when needed
- You model our values: focus on outcomes, move fast with purpose and support others to succeed
What the job involves
- We’re looking for a Computer Vision Lead to guide our ML team and shape how we build and deliver state-of-the-art visual AI at scale. You’ll lead a small, talented team working on complex models, smart pipelines and a growing LVM foundation.
- Your focus will be on clarity, prioritisation, and people — driving sprint rhythms that help the team move fast and stay engaged
- This is a high-trust, high-impact role, perfect for someone ready to scale their leadership journey and make a meaningful difference
- 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
- 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
- Coach and grow a talented group of ML engineers building our CV models and infrastructure
- Champion the team’s needs, unblock priorities, and maintain a healthy, high-performing environment
- Drive sprint planning, goal-setting and team rhythms that keep delivery focused and engagement high
- Own and evolve the technical roadmap for our CV models and systems – balancing short-term delivery with long-term scalability
- Prioritise across multiple projects, making clear, thoughtful trade-offs that support product and commercial goals
- Support the AI team to deliver impactful work at a consistent, sustainable pace
- Collaborate closely with our Staff-level individual contributor to align on technical direction, context sharing and execution
- While you lead the team, set priorities and drive delivery rhythms, they’ll focus on deep technical execution – together, you’ll shape how the ML function operates and scales
- Contribute to model development, optimisation and architecture – particularly in areas like large vision models and multimodal approaches
- Guide architectural decisions, model refinement and experimentation in collaboration with the team
- Partner with Product, Infrastructure and Customer teams to turn commercial needs into scalable, performant AI systems
- Keep communication clear and feedback loops tight across teams and stakeholders
- Whether you’ve led teams before or are stepping into leadership for the first time, we’ll support you to develop your approach
- You’ll model our values – focusing on outcomes, communicating clearly, and helping the team stay fast, curious and purposeful
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
$8m
SERIES A
May 2022
$3.9m
SEED
Total funding: $13.2m
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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