Senior Machine Learning Engineer

United States Digital Space LLC; Belfast City District; On-site; GBP 80,000 - 110,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior ML Engineer to join our Machine Learning team. You’ll design AI/ML solutions on top of our data network and work closely with engineers to deploy, monitor and improve models that drive ARR and reduce churn.

We value strong Python, JVM languages, cloud experience (AWS) and ML Ops expertise. You will own end-to-end pipelines, model deployment, monitoring, and performance improvements in a fast-paced environment.

Qualifications

• Strong Python proficiency for developing, deploying and maintaining ML systems.
• 5+ years of experience with statically-typed or JVM languages; willingness to learn Scala is desirable.
• 5+ years of experience with Cloud Platforms & Services, ideally AWS.

Responsibilities

• Design, implement, and maintain robust AI/ML solutions and tooling for batch and streaming ML pipelines.
• Develop and manage monitoring and observability solutions for ML systems.
• Lead DevOps practices, incl. CI/CD pipelines and IaC (Terraform).
• Architect and implement cloud-based solutions on AWS (or similar).
• Collaborate with ML Engineers/Data Scientists to develop, train, and deploy models.
• Engage in feature engineering and model optimization for performance.
• Participate in full AI/ML lifecycle from data prep to deployment and monitoring.
• Refactor systems for improved performance and reliability.
• Drive ML engineering best practices and MLOps initiatives.

Skills

Python

JVM languages

NLP/LLMs

CLI & Shell scripting

APIs

Education

Master's degree in ML/AI/CS

Tools

AWS

Terraform

Kubernetes

Kafka

Airflow

Jenkins

GitHub Actions

Job description

At the company, we create smart shopping experiences. Through our expansive global network, product-passionate community & 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 & search syndication network. And we make it easy for brands & 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, the company is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.It’s official: the company is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK!

Senior ML/AI EngineerFull-TimeWho we are:In an era of rising AI agents and consumer skepticism, the company 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 & search syndication network. And we make it easy for brands & 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.

At the company, 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 the company 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 the company 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 & 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 the company?

Customer is keyWe see our own success through our customers’ outcomes.We approach every situation with a customer first mindset.Transparency & IntegrityBuilds TrustWe 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 PerformanceOur energy is contagious, because we hire for passion, drive & curiosity.We love what we do, and because we’re laser focused on our mission.Innovation over ImitationWe seek to innovate as we are not content with the status quo.We embrace agility and experimentation as an advantage.Stronger TogetherWe bring our whole selves to the mission and find value in diverse perspectives.We champion what’s best for the company before individuals or teams.As a stronger company we build a stronger community.

Want to see our culture in action? Explore our global Linkedin Life Page, Life at the company to see the bigger picture, or visit our EMEA Life Page to meet our regional teams and see what life is like in our local offices.

Commitment to diversity and inclusionthe company 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. the company 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.