Senior Machine Learning Engineer – Computer Vision

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

Job summary

A leading AI technology firm is seeking a Senior Machine Learning Engineer to drive innovations in identity verification through deep expertise in computer vision and large language models. This full-time, remote position involves designing algorithms, building ML pipelines, and mentoring junior engineers. Ideal candidates will have over 6 years of experience and a Master's degree in a related field. Competitive salary and remote flexibility offered.

Benefits

Competitive salary with equity

Bonus opportunities

Support for continuous learning

Collaborative team culture

Qualifications

• 6+ years' experience in machine learning with emphasis on computer vision.
• Proficiency in Python and ML libraries including TensorFlow and PyTorch.
• Hands-on experience with LLMs for NLP or document processing.

Responsibilities

• Design and develop machine learning algorithms for computer vision and document analysis.
• Build and maintain scalable ML pipelines for data and model deployment.
• Collaborate to integrate ML solutions into production systems.

Skills

Computer vision

Large language models

Machine learning algorithms

Python

TensorFlow

PyTorch

Deep learning (CNNs, Transformers, DNNs)

AWS

Docker

Git

Education

Master’s degree in Computer Science, Machine Learning, or related field

Tools

AWS SageMaker

Jira

Job description

Location: Remote

Employment Type: Full-Time

Industry: AI & Machine Learning | Identity Verification | Computer Vision

About the Role

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.

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.