AI/ML Engineer

Role: AI/ML Engineer Location: Glasgow OR Dundee Salary: £70,000 max Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. The company: We design and develop across a full stack of disciplines - Mechanical, Electronic, Electrical, and Software Engineering. Within our Digital team, we specialize in developing software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and data analysis. We take pride in fostering a collaborative and supportive work environment with a focus on both individual and team development. Role Description and Purpose We are seeking a talented and enthusiastic AI/ML Engineer to join our dynamic team at an exciting stage of our digital journey. As a mid-sized enterprise, you'll have the opportunity to work closely with colleagues across the business, gaining visibility and recognition for your contributions. If you thrive in a collaborative environment and enjoy making an impact, this role is for you. As an AI/ML Engineer, you'll work alongside experienced professionals and gain hands-on experience throughout the entire product development lifecycle. Responsibilities Design, develop, and deploy high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis. Conduct data analysis, feature engineering, and model selection to optimize performance and accuracy. Collaborate with cross-functional teams (e.g., data scientists, software engineers, and product managers) to translate business requirements into technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (e.g., AWS SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay updated on advancements in computer vision and machine learning research, exploring new opportunities to apply these innovations to our projects. Contribute to the development and improvement of machine learning infrastructure and best practices. Mentor junior team members and promote a culture of innovation and continuous learning. Experience & Skills Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, with a strong focus on machine learning. 3+ years of professional experience in developing and deploying machine learning models, particularly for computer vision applications. Strong understanding of deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications. Proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud services, including AWS SageMaker, EC2, S3, Lambda, etc. Familiarity with cloud-native development and deployment practices. Ability to work independently as well as collaboratively. A strong passion for machine learning and a commitment to continuous growth. General Skills Excellent problem-solving abilities and creative thinking. Passion for learning and staying current with industry trends and best practices. Strong communication and teamwork skills, with openness and transparency as default. Initiative and a proactive approach to tasks. Flexibility and a focus on contributing to organizational success. Bonus Points Knowledge of MLOps principles and best practices. Experience with distributed computing and large-scale data processing. Familiarity with industry-specific applications of computer vision or machine learning. Benefits: 37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply? Please send a CV to

danielle.chapman@experis.co.uk

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