Responsibilities

• Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance.
• Data Preparation: Collaborate with data engineers to collect, preprocess, and curate large visual datasets required for training models, ensuring high-quality data pipelines.
• Algorithm Optimization: Iterate on model architectures and hyperparameters to improve performance throughput while maintaining efficiency.
• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and platform engineers, to deliver integrated Computer Vision solutions.
• Performance Monitoring: Monitor live models and performance metrics, troubleshoot issues, and implement updates as necessary to ensure optimal performance.
• Continuous Learning: Stay updated with the latest research and advances in machine learning and computer vision. Drive innovation by applying new techniques and methods to our projects.

Requirements

• Educational Background: Master's degree or equivalent experience in Computer Science, Data Science, or a related field with a strong focus on machine learning.
• Professional Experience:
  • 5+ years of hands-on experience deploying Computer Vision models in production environments.
  • Strong proficiency in Python.
  • Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.).
• Technical Skills:
  • In-depth understanding of computer vision techniques, including image classification, detection, and segmentation.
  • Familiarity with Large Vision Models is a big plus.
  • Knowledge of SQL and experience working with large datasets and data manipulation.
• Problem-Solving Abilities:
  • Strong analytical skills, capable of troubleshooting complex problems.
  • Proven ability to innovate and adapt to changing technologies.
  • Excellent collaboration and communication skills, capable of working effectively within a team.

Benefits

• Inclusive and Supportive Culture: We’re building a team where everyone feels seen, heard, and valued—collaboration, psychological safety, and kindness are baked into how we work.
• Hybrid-First Model: Strike the perfect balance: work from home or collaborate in our London office - whatever fuels your productivity and well-being.
• Equity Share Options: Your hard work powers our mission - and you’ll share in the company’s success through equity ownership.
• Generous Time Off: Enjoy up to 34 days of annual leave and UK bank holidays to recharge, explore or just unwind.
• Annual Retreats & Team Workations: Once a year, we bring the team together at our company-wide retreat or more regularly during our team "workation" to bond, innovate and refresh outside the office environment.
• All-Inclusive Private Health: Our private medical cover includes mental health support, dental and optics, plus travel insurance (for both personal adventures and work trips).
• Pension Plan: We help you invest in your future with a competitive employer-contributed pension scheme.

Please note: We are not accepting unsolicited CVs or candidate introductions from recruitment agencies. Any profiles submitted without prior agreement will be considered the property of Neurolabs, and no fees will be payable.