Computer Vision Engineer

Cortech Talent Solutions Ltd; Glasgow; On-site; GBP 55,000 - 60,000; Full time

Benefits offered by this job

30 days annual leave

Death in service 4x salary

Employee Assistance Programme

Enhanced parental leave

Birthday day off

Salary sacrifice pension

Cycle to work scheme

Regular social breakfasts, lunches and

team events

Job summary

Cortech Talent Solutions Ltd invites an Experienced AI/ML Engineer for computer vision, based in Glasgow. On-site 2–3 days a week, you will design, train and deploy CV/ML models that turn camera and sensor data into trusted insights.

You’ll work with ML/AI leads and hardware/software teams to integrate models into production systems. The role spans the full ML lifecycle, from data prep to deployment, with mentorship responsibilities within a small, collaborative team.

Qualifications

• PhD candidate with 1–2 years+ experience or Master’s candidate with 3–4 years+ in related field.
• Strong background in computer vision, ML, and data analysis.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience deploying ML models and working with cloud services (AWS).

Responsibilities

• Design, train and deploy computer vision and ML models.
• Analyze data, perform feature engineering and model selection.
• Develop scalable ML pipelines using cloud services (SageMaker, EC2, S3, Lambda).
• Collaborate with data/software engineers and product managers to translate requirements.
• Stay updated with CV/ML research and apply relevant advances.
• Contribute to ML infrastructure and best practices.
• Mentor junior team members and foster continuous learning.

Skills

Computer Vision

Camera Calibration

Object Detection

Segmentation

Pose Estimation

Data Analysis

ML Deployment

Python

TensorFlow

PyTorch

scikit-learn

AWS SageMaker

AWS EC2

AWS S3

AWS Lambda

AWS Rekognition

MLFlow

Education

Master’s or PhD in Computer Science or Computer Engineering

Tools

AWS SageMaker

AWS EC2

AWS S3

AWS Lambda

AWS Rekognition

MLFlow

Job description

Role: Experienced AI /Machine Learning Engineer for computer vision

Location: Glasgow

Onsite: 2-3 days a week

Seeking £55,000 - £60,000 but negotiable

Experience required:

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

We are looking for someone who has experience in computer vision, camera calibration, detection, segmentation and pose models. Also, on the data analysis and deployments of ML models.

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:

• 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