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Senior Machine Learning Engineer – Computer Vision

WatersEdge Solutions

London
Remote
GBP 70,000 - 90,000
6 days ago
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Oracle Paas VBCS Developer - Remote

Infoplus Technologies UK Ltd

London
Remote
GBP 60,000 - 75,000
6 days ago
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Technical Support Manager

WatersEdge Solutions

London
Remote
GBP 70,000 - 90,000
6 days ago
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Trainee Electrician

Rise Technical Recruitment

London
Remote
GBP 40,000 - 45,000
6 days ago
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Pre-Commission Cleaning Engineer

Ignite Recruitment Services

London
Remote
GBP 50,000 - 60,000
6 days ago
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Tenancy Specialist / Antisocial Behavioural Officer

Reed

London
Remote
GBP 60,000 - 80,000
6 days ago
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Advertising Sales Executive {Media/Charities

Ernest Gordon Recruitment Limited

London
Remote
GBP 33,000 - 60,000
6 days ago
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Dynamics CRM Solutions Architect

VIQU Ltd

London
Remote
GBP 80,000 - 85,000
6 days ago
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Sales Executive

Wallace Hind Selection LTD

London
Remote
GBP 40,000 - 45,000
6 days ago
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Senior Product Manager

Complexio

London
Remote
GBP 80,000 - 100,000
6 days ago
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Labels Sales Manager - UK

Taylor Higson

London
Remote
GBP 100,000 - 125,000
6 days ago
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Learning Technology Coordinator (9 Month FTC)

Blue Eskimo

London
Remote
GBP 34,000
6 days ago
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Senior Advisor, Global Safeguarding Prevention

World Vision

London
Remote
GBP 55,000 - 75,000
6 days ago
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Senior System Architect

Complexio

London
Remote
GBP 125,000 - 150,000
6 days ago
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Customer Solution Engineer

Zuora

London
Remote
GBP 60,000 - 80,000
6 days ago
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Finance ERP and Technology Expert (Remote EMEA or Canada)

Gartner

London
Remote
GBP 70,000 - 90,000
6 days ago
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Young Ladies Club

London
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GBP 18,000
6 days ago
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GardaWorld

London
Remote
GBP 100,000 - 125,000
6 days ago
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Monzo Bank

London
Remote
GBP 24,000 - 30,000
6 days ago
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Telephone Language Interpreter - Remote Working

Gi Group

Greater London
Remote
GBP 30,000 - 50,000
6 days ago
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Acceleration Partners

Manchester
Remote
GBP 40,000 - 50,000
6 days ago
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Unitary

London
Remote
GBP 200,000 +
6 days ago
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Travel Trade Recruitment Limited

Greater London
Remote
GBP 30,000 - 36,000
6 days ago
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NHS

London
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GBP 55,000 - 60,000
6 days ago
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L.J.B & Co. Construction Recruitment

London
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GBP 95,000 - 110,000
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Senior Machine Learning Engineer – Computer Vision
WatersEdge Solutions
London
Remote
GBP 70,000 - 90,000
Full time
6 days ago
Be an early applicant

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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