Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Prepare to model a technical or business problem, justify algorithm and system choices, and show how you schedule experiments against priorities. Expect questions on shipping ML software and resolving trade-offs with managers or vendors.
A strong match if you enjoy turning ambiguous problems into deployable ML systems and working onsite in Belfast with clear delivery ownership.
As a Senior Machine Learning Engineer at Bazaarvoice in Belfast, you would turn product and engineering problems into models, design software that applies ML in production, and set priorities with managers and partners. Days mix analysis, implementation, and aligning delivery with business goals.
The listing is Belfast-based and not marked remote, so expect local or onsite work.
Core tasks include modeling problems, applying new computing methods, and coordinating with managers and vendors.
freeCodeCamp, Saylor Academy CS courses, Harvard CS50, and Microsoft Learn paths are free or free to learn.
Public-domain labor data — prepare examples for 2–3 of these.
Senior Machine Learning Engineer at Bazaarvoice in Belfast - Full Time, No Remote Role Overview Bazaarvoice is seeking a Senior Machine Learning Engineer to join our team in Belfast. At Bazaarvoice, we create smart shopping experiences by connecting brands and retailers with consumers through vast networks of user-generated content. Our solutions enable businesses to gain valuable insights from real-time consumer feedback, driving smarter shopping decisions for loyal customers. Responsibilities Develop and implement machine learning models to enhance the discoverability and trustworthiness of product ratings, reviews, photos, and videos at scale. Work closely with cross-functional teams to integrate advanced analytics into our products and services, improving user engagement and satisfaction. Collaborate on research projects aimed at advancing Bazaarvoice's AI capabilities in areas such as natural language processing, sentiment analysis, and content verification. Ensure the scalability, robustness, and efficiency of machine learning models deployed across various platforms. Qualifications Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related field with significant experience in machine learning. Proven track record of developing and deploying scalable machine learning solutions in production environments. Strong proficiency in Python, R, or similar programming languages used for data analysis and model development. Experience with natural language processing (NLP) techniques, sentiment analysis, and deep learning frameworks such as TensorFlow or PyTorch is a plus. Aptitude for problem-solving and ability to work effectively in a fast-paced, dynamic environment. Working at Bazaarvoice Built on the belief that smarter shopping leads to better business outcomes, Bazaarvoice has been connecting brands and consumers since 2005. Our mission is to close the gap between brands and consumers by leveraging authentic user-generated content. We are headquartered in Austin, Texas, with offices across North America, Europe, Asia, and Australia. As a Senior ML/AI Engineer at Bazaarvoice, you will be part of an innovative team dedicated to advancing AI technology that transforms how businesses engage with their customers. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. We look forward to hearing from you!
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