Senior Computer Vision Engineer (Remote - EMEA)

Jobgether; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A technology partner company is searching for a Senior Computer Vision Engineer to design and deploy advanced AI models for video and avatar technologies. The role includes developing algorithms and neural network training while offering a competitive salary of $5,000 - $5,800 per month and remote work flexibility across EMEA.

Benefits

Flexible contract terms

Collaborative work culture

Opportunity for professional growth

Qualifications

• Minimum 4 years of professional experience in machine learning or deep learning.
• Proven expertise in computer vision and generative models (GANs, VAEs, Diffusion Models).
• Solid understanding of model training, evaluation, and deployment pipelines.

Responsibilities

• Research and design advanced computer vision algorithms.
• Develop, train, and fine-tune neural network models.
• Write clean, scalable, and production-ready code.

Skills

Python

Machine Learning

Problem-solving

Collaboration

Education

Bachelor's or Master's degree in Computer Science or Machine Learning

Tools

PyTorch

TensorFlow

Docker

Kubernetes

AWS

GCP

Azure

Job description

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Computer Vision Engineer in EMEA.

As a Senior Computer Vision Engineer, you will play a key role in designing and deploying advanced AI models that drive next-generation video and avatar technologies. Your work will focus on areas such as face emotion recognition and generative video systems, contributing directly to innovative, user-centric products. Collaborating with cross-functional teams, you\'ll transform cutting-edge research into production-ready solutions while maintaining technical excellence and scalability. This position offers the opportunity to work on impactful projects that redefine human-AI interaction and video innovation within a dynamic and forward-thinking environment.

Accountabilities

• Research and design advanced computer vision and video generation algorithms based on the latest academic findings.
• Develop, train, and fine-tune neural network models such as GANs, Diffusion Models, Transformers, and NeRFs to achieve high-quality results.
• Define key performance metrics and run rigorous experiments to evaluate and optimize model accuracy and efficiency.
• Source, manage, and preprocess large-scale datasets for training and validation purposes.
• Write clean, scalable, and production-ready code, collaborating with engineers to integrate AI models into live systems.
• Document architectures, results, and implementation details clearly, ensuring knowledge transfer across the technical team.
• Act as a thought leader by staying current with industry advancements and recommending emerging technologies.

Requirements

• Bachelor\'s or Master\'s degree in Computer Science, Machine Learning, or a related field.
• Minimum 4 years of professional experience in machine learning or deep learning.
• Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Proven expertise in computer vision and generative models (GANs, VAEs, Diffusion Models).
• Solid understanding of model training, evaluation, and deployment pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Excellent analytical, problem-solving, and collaboration skills with a passion for continuous learning.

Benefits

• Monthly compensation of $5,000 - $5,800, depending on experience and scope.
• Flexible contract terms - independent contractor role with invoicing flexibility.
• Opportunity to work on impactful, AI-driven video generation technologies.
• Collaborative and inclusive work culture fostering innovation and professional growth.
• Remote work flexibility across EMEA.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI thoroughly analyzes your CV and LinkedIn profile, focusing on your skills, experience, and achievements. It then compares your profile to the job\'s key requirements and past success factors to calculate your match score. The top three candidates with the highest match scores are automatically shortlisted for the role. When necessary, our human team performs an additional review to ensure no outstanding profile is overlooked.

This process is transparent, skills-based, and bias-free, emphasizing your professional fit and potential. Once the shortlist is finalized, it is shared directly with the hiring company, which then conducts interviews or additional assessments.

Thank you for your interest!

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