Experienced AI / Machine Learning Engineer for computer vision in Glasgow

Role: Experienced AI /Machine Learning Engineer for computer vision

Location: Glasgow

Onsite: 2-3 days a week

Experience required:

• PhD candidate with 1-2 years +
• Masters Candidate with 3-4 years +

About the role:

As Machine Learning Engineer, you design, train and deploy the computer vision and machine learning models behind products like turning camera and sensor data into the accurate, trusted insights our customers rely on.

You report to the Lead of ML & AI and work closely with the Head of Hardware/Devices on camera and sensor requirements, and the Head of Software on integrating models into production systems.

You’ll work across the full ML lifecycle, from data and feature engineering through model training, evaluation and production deployment, with direct visibility across a small, collaborative team.

What you’ll be doing:

• Design, develop and deploy high-performing machine learning models for computer vision applications — image classification, object detection, segmentation and video analysis.
• Carry out data analysis, feature engineering and model selection to optimise model performance and accuracy.
• Develop and maintain robust, scalable ML pipelines using cloud services (e.g. AWS SageMaker, EC2, S3, Lambda, Rekognition, MLFlow).
• Collaborate with data engineers, software engineers and product managers to translate business requirements into technical specifications.
• Stay abreast of advances in computer vision and machine learning research, and identify opportunities to apply them.
• Contribute to the development of machine learning infrastructure and best practice.
• Mentor junior team members and contribute to a culture of learning within the team.

What we’re looking for

You’ll ideally have:

• A Master’s or PhD in Computer Science, Computer Engineering or a related field, with a strong focus on machine learning.
• Solid understanding of deep learning concepts and architectures (CNNs, RNNs, Transformers) and their practical application.
• Proficiency in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong experience with AWS services (SageMaker, EC2, S3, Lambda or equivalent).
• Experience with cloud-native development and deployment methodologies.

It would be great if you also have:

• Knowledge or experience in the aquaculture sector.
• Knowledge of MLOps principles and best practice.
• Experience with distributed computing and large-scale data processing.
• Experience with underwater or low-visibility imaging, or animal detection/tracking.

Personal Attributes:

The successful candidate will be:

• A strong problem-solver, comfortable working with noisy, real-world data.
• Self-starting, able to work independently and as part of a small team.
• A strong communicator, able to explain model capability and limitations to non-technical stakeholders.
• Passionate about machine learning, with a desire to keep learning and growing.

Why Join Us?

This is a chance to build the computer vision and machine learning models behind a category-defining aquaculture technology platform — with direct visibility across a small team and models that go straight into products customers rely on.

What we offer:

• Competitive salary, based on experience
• 30 days annual leave (including bank holidays)
• Death in service at 4 x your annual salary
• Employee Assistance Programme
• Enhanced parental leave policies
• Birthday day off
• Paid bereavement and sick leave
• Company salary sacrifice pension scheme
• Cycle to work scheme
• Regular social breakfasts, lunches and team events