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For Companies At a Glance
- Tasks: Design and develop cutting-edge machine learning algorithms for computer vision and document analysis.
- Company: WatersEdge Solutions, a leader in AI-driven identity verification.
- Benefits: Competitive salary, equity, bonuses, and full-remote flexibility.
- Why this job: Shape the future of digital identity and work on impactful AI projects.
- Qualifications: Master’s degree in relevant field and 6+ years in machine learning.
- Other info: Join a collaborative team culture focused on innovation and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote
Employment Type: Full-Time
Industry: AI & Machine Learning | Identity Verification | Computer Vision
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
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Design and develop machine learning algorithms for computer vision and LLM-based document analysis
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Build and maintain scalable ML pipelines for data preparation, model training, and deployment
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Collaborate with software engineers to integrate ML solutions into production systems
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Lead research into new AI methodologies and technologies, keeping pace with trends
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Analyse large-scale data to improve model performance and product outcomes
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Mentor junior engineers and lead ML-focused initiatives from concept to deployment
What You’ll Bring
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Master’s degree or higher in Computer Science, Machine Learning, or related field
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6+ years’ experience in machine learning with strong emphasis on computer vision
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Proficiency in Python and ML libraries (TensorFlow, PyTorch)
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Deep understanding of image processing, linear algebra, and probabilistic modelling
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Proven experience in deep learning (CNNs, Transformers, DNNs)
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Hands-on experience with LLMs (e.g., GPT, BERT) for NLP or document processing
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Familiarity with cloud tools such as AWS SageMaker and Lambda
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Experience with Docker, Git, and Jira
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Strong documentation and unit testing practices
Nice to Have
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Background in cybersecurity or biometrics
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Proficiency in C++ for performance-intensive applications
What’s On Offer
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Competitive salary with equity and bonus opportunities
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High-impact work shaping the future of trust and identity in digital ecosystems
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Collaborative, fast-paced team culture with deep tech roots
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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.
Senior Machine Learning Engineer – Computer Vision employer: WatersEdge Solutions
Contact Detail:
WatersEdge Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer – Computer Vision
✨Network Like a Pro
Get out there and connect with folks in the AI and machine learning space! Attend meetups, webinars, or even online forums. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to computer vision and ML. We recommend using GitHub to share your code and demonstrate your expertise. It’s a great way to stand out from the crowd!
✨Ace the Interview
Prepare for technical interviews by brushing up on your algorithms and data structures. We suggest doing mock interviews with friends or using platforms like LeetCode. Confidence is key, so practice makes perfect!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Machine Learning Engineer – Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal—let us know what excites you about this opportunity!
Showcase Your Technical Skills: We love seeing hands-on experience! Be sure to mention your proficiency in Python, ML libraries, and any cloud tools you've worked with. If you’ve got experience with Docker or Git, make that known too—it’s all about showing us what you can bring to the table.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at WatersEdge Solutions
✨Know Your Stuff
Make sure you brush up on your machine learning algorithms, especially those related to computer vision and large language models. Be ready to discuss your past projects in detail, showcasing your expertise in Python and ML libraries like TensorFlow and PyTorch.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach designing scalable ML pipelines or improving model performance. This is your chance to demonstrate your analytical skills and innovative thinking.
✨Collaboration is Key
Since this role involves working closely with software engineers, be prepared to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve integrated ML solutions into production systems and mentored junior engineers.
✨Stay Updated on Trends
Research the latest trends in AI methodologies and technologies. Being able to discuss recent advancements or tools in the field will show your passion for continuous learning and innovation, which is crucial for a high-impact role like this.
