Senior Machine Learning Engineer in Belfast

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community and enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social and search syndication network. We make it easy for brands and retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.

The problem we are trying to solve: Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.

Our brand promise: closing the gap between brands and consumers.

Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US, Australia, India, Lithuania, France, Germany and the UK!

Who we are: In an era of rising AI agents and consumer skepticism, Bazaarvoice sources, verifies and amplifies authentic consumer ratings, reviews and visual content at scale, making your products discoverable, trusted, and chosen. We source, verify, and amplify authentic product ratings, reviews, photos, and videos at scale. Driving reach, traffic, and conversion. We make products discoverable, trusted, and chosen, by shoppers and by AI. We are the world’s most trusted network of authentic consumer voices.

Where AI/ML is key: Our solutions enable brands to connect with consumers and collect valuable user-generated content (UGC), at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social and search syndication network. We make it easy for brands and retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.

At Bazaarvoice, over the past 15 years our software has been at the core of commerce on the web for some of the world’s biggest brands and retailers. The result is an absolutely massive amount of data, at scales comparable to the most high-traffic individual websites out there. It is critical to the future success of Bazaarvoice that we continue to find ways to leverage that data and turn it into valuable insights for our clients, and better experiences for consumers. We’re looking for a Senior ML Engineer to join our Machine Learning team. You’ll work closely with a team of engineers to create AI/ML solutions on top of our extensive syndication network data. These features will increase our Annual Recurring Revenue (ARR), reduce client churn, and make our Bazaarvoice User Generated Content (UGC) central to AI Shopping.

Key Responsibilities:

• Design, implement, and maintain robust AI/ML solutions and tooling for both batch and streaming ML pipelines.
• Develop and manage monitoring and observability solutions for ML systems.
• Lead DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaC).
• Architect and implement cloud-based solutions on AWS (or similar public cloud providers).
• Collaborate with ML Engineers and Data Scientists to develop, train, and deploy machine learning models.
• Engage in feature engineering and model optimization to improve ML system performance.
• Participate in the full AI/ML lifecycle, from data preparation to model deployment and monitoring.
• Optimize and refactor existing systems for improved performance and reliability.
• Drive technical initiatives and best practices in both MLOps and ML Engineering.

Required Skills and Experience:

• Strong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine learning systems.
• Language Versatility: 5+ Years of Experience with statically-typed or JVM languages. Willingness to learn Scala is highly desirable.
• Cloud Engineering Skills: 5+ years experience with Cloud Platforms and Services, ideally AWS (e.g., Lambda, ECS, ECR, CloudWatch, MSK, SNS, SQS).
• Infrastructure as Code: 3+ Years Proficiency in IaC, particularly Terraform.
• Kubernetes Expertise: 5+ years of hands-on experience with managing clusters and deploying services.
• Data Orchestration: 5+ years of Experience with ML orchestration tools (e.g., Flyte, Airflow, Kubeflow, Luigi, or Prefect).
• CI/CD: 5+ Years of Expertise in pipelines, especially GitHub Actions and Jenkins.
• Networking: Knowledge of concepts and implementation.
• Streaming: Experience with Kafka and other streaming technologies.
• ML Monitoring: Familiarity with observability tools (e.g., Arize AI, Weights and Biases).
• NLP/LLMs: Experience with NLP, LLMs, and RAG systems in production, or strong desire to learn.
• CLI & Shell Scripting: Proficiency in scripting and command-line tools.
• APIs: Experience with deploying and managing production APIs.
• Software Engineering Best-Practices: Knowledge of industry standards and practices.

Preferred Qualifications:

• AWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Bedrock.
• Data Processing: Experience with high-volume, unstructured data processing.
• ML Applications: Familiarity with NLP, Computer Vision, and traditional ML applications.
• System Migration: Previous work in refactoring and migrating complex systems.
• AWS Certification: AWS Solution Architect Professional or Associate certification.
• Advanced Degree: Master's degree in ML / AI / Computer Science.

Personal Qualities:

• Passionate about building developer-friendly platforms and tools.
• Thrives in a terminal-based development environment.
• Enthusiastic about creating production-grade, robust, reliable, and performant systems.
• Not afraid to dive into and improve complex existing solutions.
• Team player who works well with ML Engineers, Data Scientists, and management.
• Strong technical mentoring skills.
• Excellent problem-solving and communication skills.

Why join Bazaarvoice?

• Customer is key: We see our own success through our customers’ outcomes. We approach every situation with a customer first mindset.
• Transparency & Integrity Builds Trust: We believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance.
• Passionate Pursuit of Performance: Our energy is contagious, because we hire for passion, drive and curiosity. We love what we do, and because we’re laser focused on our mission.
• Innovation over Imitation: We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage.
• Stronger Together: We bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community.

Commitment to diversity and inclusion: Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

Please note: The successful candidate will be required to undergo a basic AccessNI check prior to starting. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.