Technical Lead - Ai/Ml & Computer Vision

Sr2 Rec Ltd; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

SR2 REC LTD is seeking an experienced AI/ML Technical Lead to steer the engineering delivery of a cutting-edge computer vision and ML platform for a high-profile UK defence programme.

The role combines hands-on ML engineering, architecture design and delivery oversight, with leadership over a team of AI/ML and MLOps engineers. You will drive scalable pipelines, model deployment and collaboration with stakeholders.

Qualifications

• Experience in ML/DL and CV across production-grade systems.
• Hands-on Python and PyTorch development.
• Ability to lead AI/ML/engineering teams and set standards.

Responsibilities

• Provide technical leadership to a team of AI/ML and MLOps Engineers.
• Lead the design, optimisation and deployment of computer vision and DL systems.
• Oversee scalable ML training, inference and deployment pipelines.
• Guide technical architecture, engineering standards and best practices.
• Work with stakeholders to integrate AI solutions into existing infrastructure.
• Mentor engineers and drive successful delivery.

Skills

Machine Learning

Deep Learning

Computer Vision

Python

PyTorch

CNNs

Vision Transformers

MLOps

CI/CD

Model deployment

Stakeholder management

Technical communication

Tools

Docker

Kubernetes

MLflow

Kubeflow

Job description

Technical Lead - AI/ML & Computer Vision | Defence Technology

We are seeking an experienced AI/ML Technical Lead to lead the engineering delivery of an advanced computer vision and machine learning platform for a high-profile UK defence technology programme.

Working with a specialist AI organisation, you'll play a key role in taking established, cutting-edge AI technology into full-scale operational deployment.

This is a hands-on technical leadership position, combining advanced machine learning engineering, architecture and delivery oversight.

Key Responsibilities

• Provide technical leadership to a team of AI/ML and MLOps Engineers.

• Lead the design, optimisation and deployment of advanced computer vision and deep learning systems.

• Oversee scalable ML training, inference and deployment pipelines.

• Guide technical architecture, engineering standards and best practices.

• Work closely with stakeholders to integrate AI solutions into existing infrastructure.

• Mentor engineers, resolve technical challenges and ensure successful delivery.

Essential Skills & Experience

• Active SC clearance - client can sponsor DV

• Extensive experience in Machine Learning, Deep Learning and Computer Vision.

• Strong hands-on Python and PyTorch development skills.

• Expertise in CNNs, Vision Transformers and neural network architectures.

• Proven experience delivering production-grade AI/ML systems.

• Previous technical leadership or principal engineering experience.

• Strong understanding of MLOps, CI/CD, model deployment and scalable infrastructure.

• Excellent stakeholder management and technical communication skills.

Desirable Experience

• GPU optimisation, distributed training and inference acceleration.

• Docker, Kubernetes, MLflow or Kubeflow.

• Object detection, segmentation and large-scale imagery processing.

• Edge AI and NVIDIA technologies.

• Defence, aerospace or national security projects.