Senior Computer Vision Engineer

Neurolabs; London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

A leading company in the retail automation sector seeks a Senior Machine Learning Engineer to develop innovative Computer Vision models. You will have a significant impact on transforming visual data into structured insights, requiring advanced skills in model optimization and collaboration with cross-functional teams. Join a supportive culture with hybrid work options and comprehensive benefits, including generous annual leave and health coverage.

Benefits

Equity Share Options

Generous Time Off

Annual Retreats & Team Workations

All-Inclusive Private Health

Pension Plan

Qualifications

• 5+ years of experience deploying Computer Vision models in production.
• Strong understanding of image classification, detection, and segmentation.
• Experience managing large datasets and SQL knowledge.

Responsibilities

• Design, build, and deploy Large Vision Models for enhancing customer experience.
• Collaborate with data engineers on data preparation and curation.
• Monitor live models and performance metrics.

Skills

Python

Computer Vision techniques

Problem-Solving

Data Manipulation

Collaboration

Education

Master's degree in Computer Science or Data Science

Tools

AWS

GCP

Docker

Kubernetes

Job description

Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team.

As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our client's needs.

We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact of our solutions across various sectors.

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.

• 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.

• 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 to34 daysof 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.