Senior ML & Computer Vision Engineer — Remote/Hybrid

Keen AI; Birmingham; Hybrid; GBP 65,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Remote/Hybrid

Health insurance

Personal development days

Job summary

Keen AI in the United Kingdom is seeking a senior machine learning / computer vision engineer to lead the design and development of tailored CV architectures and ML pipelines. You will own end-to-end model lifecycle and collaborate with technical and business leaders to advance Keen AI's offerings.

The role requires deep knowledge of Python, PyTorch, MLFlow, OpenCV, and cloud/container technologies, plus experience with 3D vision, multi-modal models, and self-supervised training.

Qualifications

• PhD or near completion in a relevant field, or a Master's degree with strong equivalent research or industry experience.
• Strong knowledge of machine learning and computer vision algorithms, with software engineering experience.
• Experience with self-supervised foundation models and efficient fine-tuning pipelines.
• Experience with 3D datasets, multi-view geometry, and 3D reconstruction.

Responsibilities

• Design and develop tailored computer vision architectures and machine learning workflows that best solve the problem at hand.
• Lead and manage the end-to-end model lifecycle
• Improve dataset management and data pipelines using industry best practices
• Participate in code reviews to ensure code quality and mentor others
• Proactively propose innovative technical solutions for new projects and research initiatives.

Skills

Python

PyTorch

ML & CV

Problem solving

Communication

Education

PhD or MSc with relevant experience

Tools

Git / GitHub

DVC

Pytorch Lightning

OpenCV

Docker

GCP

Poetry/Conda

Job description

Keen AI in the United Kingdom is seeking a senior machine learning / computer vision engineer to lead the design and development of tailored CV architectures and ML pipelines. You will own end-to-end model lifecycle and collaborate with technical and business leaders to advance Keen AI's offerings.

The role requires deep knowledge of Python, PyTorch, MLFlow, OpenCV, and cloud/container technologies, plus experience with 3D vision, multi-modal models, and self-supervised training.