Staff Computer Vision Engineer

• 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.

• 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.

• 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.

• Open salary structure - This role offers a competitive salary of up to £150,000 per year.
• Celebrate our victories together - 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.
• Hybrid-first approach - We decide together what balance works best between home and our vibrant London office near King’s Cross.
• A 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 generous 25 days of annual leave along with bank holidays to unwind and recharge.
• Company retreats - Each year, we take a step back to reflect and reconnect, enjoying some well-deserved social time together.
• Comprehensive medical insurance - You’ll receive private medical coverage that prioritises both your physical and mental health, including dental, optical and travel insurance.
• Visa sponsorship available – We can sponsor Skilled Worker visas for eligible candidates who meet UK Home Office requirements.

Neurolabs