Computer Vision Engineer

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

Job summary

An innovative AI-driven startup is looking for a Senior Computer Vision Engineer to contribute to cutting-edge projects in face emotion recognition and avatar video generation. The ideal candidate should have 4+ years of experience in machine learning and strong skills in Python, PyTorch, and TensorFlow. This contractor role offers a flexible work environment and competitive rates based on experience.

Benefits

Opportunity to work on impactful projects

Collaborative and supportive team environment

Flexible work arrangements

Qualifications

• 4+ years of experience in machine learning or deep learning roles.
• Experience with generative models (e.g., GANs, VAEs, diffusion models).
• Strong understanding of model training, evaluation, and deployment pipelines.

Responsibilities

• Research and implement cutting-edge computer vision algorithms.
• Develop, train, and fine-tune neural network models.
• Analyze and optimize machine learning experiments.
• Deploy models into core products.

Skills

Deep learning

Machine learning

Computer vision

Python

PyTorch

TensorFlow

Education

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

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

Weare elai.io, aninnovative AI-driven startup specializing invideo generation. Recently acquired byPanopto— aleader ininteractive video solutions— we’re now part ofagrowing team ofaround 200 professionals focused onadvancing learning through powerful, interactive video technology.

Weare looking for aSenior Computer VisionEngineertojoin our team and contribute tocutting-edgeprojects inface emotion recognition and avatar video generation. Inthis role, you will design, develop, and optimizeAI models that power next-generation human-avatar interactions. You’ll collaborate closely with researchers, engineers, and product teams tobring innovative ideas into production, ensuring that our solutions are both technically robust and deliver exceptional user experiences.

Your responsibilities

• Research &Innovate: Dive deep into the latest academic research todesign and implement cutting-edge computer vision algorithms specifically for video generation.
• Build &Train: Develop, train, and fine-tune sophisticated neural network models (e.g., GANs, Diffusion Models, Transformers, NeRFs) toachieve state-of-the-art results.
• Analyze &Optimize: Define crucial quality metrics, run rigorous machine learning experiments, and perform in-depth analysis tocontinuously improve model performance.
• Manage Data: Research, identify, and utilize appropriate large-scale datasets totrain and validate your models.
• Deploy &Ship: Write clean, robust, and efficient production code, and collaborate with the engineering team todeploy your models into our core product.
• Knowledge Transfer &Documentation: Create detailed documentation for model architectures, experimental results, and production code. Conduct knowledge-sharing sessions tomentor and collaborate with the broader technical team.
• Lead the Field: Beathought leader onthe team, staying ontopofindustry trends and proposing new technologies tokeepus atthe cutting edge.

Required qualifications

• Bachelor’s orMaster’s degree inComputer Science, Machine Learning, orarelated field
• 4+years ofexperience inmachine learning ordeep learning roles
• Proficiency inPython andML frameworks such asPyTorch orTensorFlow
• Experience with computer vision, orgenerative models (e.g., GANs, VAEs, diffusion models)
• Strong understanding ofmodel training, evaluation, and deployment pipelines.
• Familiarity with cloud platforms (AWS, GCP, orAzure) and containerization (Docker, Kubernetes)

$5,000 - $6,000 a month

Competitive rates are based on experience and project scope. Be prepared to discuss your budget.

Why Partner with Us?

Opportunity to work on impactful projects with a growing company.

Collaborative and supportive team environment.

Flexible work arrangements.

How to Apply:

• Your Resume/CV outlining relevant experience.
• A Cover Letter detailing your interest in this specific project, your relevant skills, and your proposed rate (i.e. annual, monthly, etc.).

Availability:

• Please indicate your earliest start date and estimated weekly availability.

Contract Terms:

This is a contractor/vendor role. You will not be an employee of Panopto. You must be able to invoice us for services rendered and be responsible for your own taxes and benefits. All deliverables must comply with our confidentiality/IP/data handling policies.