Machine Learning Engineer – Computer Vision Focus

JR United Kingdom; London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A leading technology company in London is seeking a Machine Learning Engineer with a focus on computer vision. In this role, you will design and deploy models, collaborate across teams, and contribute to AI-driven solutions that enhance user experiences. The position offers a hybrid work environment, equity options, and comprehensive health benefits, making it a great opportunity for those passionate about machine learning and technology.

Benefits

Flexible Work Setup

Equity Options

Up to 34 days annual leave

Comprehensive private health cover

Regular team gatherings

Employer-supported pension scheme

Inclusive working environment

Qualifications

• 3+ years of experience deploying ML models in production.
• Solid grounding in computer vision and experience with large-scale data.
• Bonus: exposure to reinforcement learning methods.

Responsibilities

• Design, train, and deploy machine learning models for computer vision.
• Collaborate with data engineers to manage large datasets.
• Maintain model performance in production and troubleshoot issues.

Skills

Python

Machine Learning

Computer Vision

Data Handling

Cloud Platforms

Monitoring & Maintenance

Education

Master’s degree in Computer Science or Machine Learning

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

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Machine Learning Engineer – Computer Vision Focus, london

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Client:

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

Job Title: Machine Learning Engineer – Computer Vision Focus

Overview:

We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors.

This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation.

Key Responsibilities:

• Model Development: Design, train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation.
• Data Handling: Collaborate with data engineers to manage large datasets, ensuring quality data pipelines for model training and evaluation.
• Algorithm Tuning: Optimise model performance through experimentation with architectures and hyperparameters.
• Cross-Functional Collaboration: Work closely with engineers, product managers, and designers to integrate ML solutions into customer-facing applications.
• Monitoring & Maintenance: Maintain model performance in production, troubleshoot issues, and roll out updates as needed.
• Research & Innovation: Keep current with advances in ML and CV, and apply new methods to solve business problems.

Your Profile:

• Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field.
• 3+ years of experience deploying ML models in production.
• Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes).
• Solid grounding in computer vision and experience with large-scale data.
• Bonus: exposure to reinforcement learning methods.

What’s on Offer:

• Flexible Work Setup: Hybrid-first approach with the option to work remotely or from our London collaboration space.
• Equity Options: Share in the company’s long-term success.
• Time Off: Up to 34 days annual leave including UK public holidays.
• Health & Wellbeing: Comprehensive private health cover (including mental health, dental, optics, and travel insurance).
• Retreats & Team Events: Regular in-person team gatherings and an annual company-wide retreat.
• Pension Scheme: Employer-supported contribution plan.
• Culture: Inclusive, open-minded, and team-oriented working environment.