Senior Machine Learning Engineer – Computer Vision

WatersEdge Solutions; City Of London; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm in London is seeking a Senior Machine Learning Engineer to design and optimize ML models for identity verification. The ideal candidate will have extensive experience in computer vision and large language models. This position offers competitive salary, equity, and a fully remote work environment, contributing to innovative AI solutions impacting digital identity verification on a global scale.

Benefits

Competitive salary

Equity opportunities

Remote work flexibility

Support for continuous learning

Qualifications

• 6+ years' experience in machine learning with strong emphasis on computer vision.
• Hands-on experience with LLMs (e.g., GPT, BERT) for NLP or document processing.
• Strong documentation and unit testing practices.

Responsibilities

• Design and develop machine learning algorithms for computer vision and document analysis.
• Build and maintain scalable ML pipelines for data preparation and model deployment.
• Lead research into new AI methodologies and technologies.

Skills

Machine Learning

Computer Vision

Python

TensorFlow

Deep Learning

Natural Language Processing

Education

Master's degree in Computer Science or related field

Tools

AWS SageMaker

Docker

Git

Jira

Job description

Overview

WatersEdge Solutions is partnering with an AI-driven identity verification platform to recruit a Senior Machine Learning Engineer with deep expertise in computer vision and large language models. This is a high-impact role at the core of an innovation-focused team transforming how digital identity is verified across global emerging markets.

About the Role

As a Senior Machine Learning Engineer, you’ll design and optimise machine learning models for identity documents, biometric data, and natural language processing. You’ll work across the full development lifecycle—from research to deployment—while mentoring other engineers and helping to define the technical roadmap. This role is perfect for an experienced ML specialist with a passion for real-world AI solutions and scalable impact.

Key Responsibilities

• Design and develop machine learning algorithms for computer vision and LLM-based document analysis
• Build and maintain scalable ML pipelines for data preparation, model training, and deployment
• Collaborate with software engineers to integrate ML solutions into production systems
• Lead research into new AI methodologies and technologies, keeping pace with trends
• Analyse large-scale data to improve model performance and product outcomes
• Mentor junior engineers and lead ML-focused initiatives from concept to deployment

What You’ll Bring

• Master’s degree or higher in Computer Science, Machine Learning, or related field
• 6+ years’ experience in machine learning with strong emphasis on computer vision
• Proficiency in Python and ML libraries (TensorFlow, PyTorch)
• Deep understanding of image processing, linear algebra, and probabilistic modelling
• Proven experience in deep learning (CNNs, Transformers, DNNs)
• Hands-on experience with LLMs (e.g., GPT, BERT) for NLP or document processing
• Familiarity with cloud tools such as AWS SageMaker and Lambda
• Experience with Docker, Git, and Jira
• Strong documentation and unit testing practices

Nice to Have

• Background in cybersecurity or biometrics
• Proficiency in C++ for performance-intensive applications

What’s On Offer

• Competitive salary with equity and bonus opportunities
• High-impact work shaping the future of trust and identity in digital ecosystems
• Collaborative, fast-paced team culture with deep tech roots
• Full-remote flexibility and support for continuous learning

Company Culture

At WatersEdge Solutions, we align visionary engineers with companies building the next frontier of AI and digital security. Join a team that thrives on innovation, collaboration, and technical excellence—where your work directly impacts millions globally.

If you have not been contacted within 10 working days, please consider your application unsuccessful.