Senior Machine Learning Engineer - Computer Vision
WatersEdge Solutions
About the role
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.
As a Senior Machine Learning Engineer, youll design and optimise machine learning models for identity documents, biometric data, and natural language processing. Youll work across the full development lifecyclefrom research to deploymentwhile 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 Youll Bring
- Masters 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
Whats 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 excellencewhere your work directly impacts millions globally.
Application Note
If you have not been contacted within 10 working days, please consider your application unsuccessful.
Requirements
- 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
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
Benefits
Skills
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