Machine Learning Engineer

Ovyo; Portugal; Remote; EUR 40,000 - 70,000; Full time

Job summary

A technology services company based in Portugal is seeking a Machine Learning Engineer to design and operate large-scale ML systems focused on recommendation engines and personalized content discovery. Collaborating closely with client engineering and product teams, you will deliver scalable and reliable ML solutions. Ideal candidates will have proven experience in large-scale data systems, proficient in Java, Python, and SQL, and a strong background in TensorFlow and recommendation systems.

Qualifications

• Proven experience as a Machine Learning Engineer working with large-scale data systems.
• Strong hands-on experience with Java, Python, and SQL.
• Experience building and deploying production-grade machine learning models.
• Hands-on experience with TensorFlow 2.x.
• Solid understanding of recommendation systems.

Responsibilities

• Design, build, deploy, and optimise end-to-end machine learning solutions.
• Develop and enhance recommendation systems for personalised user experiences.
• Integrate ML models with data pipelines and backend platforms.
• Collaborate with teams to deliver ML-driven features.
• Ensure ML systems are scalable, observable, and reliable.

Skills

Machine Learning

Java

Python

SQL

TensorFlow

Apache Spark

Apache Flink

Kubernetes

Job description

Location: Remote

About Ovyo

Ovyo is a B2B services company providing flexible engineering teams and talent solutions to the streaming, media, satellite, and communications industries. With a global footprint across the UK, India, Portugal, South Africa, Brazil, the US, and Eastern Europe, we work on a mix of long-term client engagements and fast-paced consulting projects. Our engineers build the platforms that shape how the world consumes video and connects — while accelerating their own careers along the way.

The Role

We’re looking for a Machine Learning Engineer to design, build, and operate large-scale machine learning systems, with a strong focus on recommendation engines and personalised content discovery.

You’ll work closely with client engineering and product teams to deliver production-ready ML solutions that are scalable, reliable, and high-performance in real-world environments.

Responsibilities

• Design, build, deploy, and optimise end-to-end machine learning solutions in production
• Develop and enhance recommendation systems supporting personalised user experiences
• Integrate ML models with data pipelines and backend platforms
• Collaborate with engineers, product managers, and stakeholders to deliver ML-driven features
• Ensure ML systems are scalable, observable, and reliable
• Communicate technical concepts and insights clearly to both technical and non-technical audiences

Requirements

• Proven experience as a Machine Learning Engineer working with large-scale data systems
• Strong hands-on experience with Java, Python, and SQL
• Experience building and deploying production-grade machine learning models
• Hands-on experience with TensorFlow 2.x
• Solid understanding of recommendation systems, including Matrix Factorization and Factorization Machines
• Experience with Apache Spark and Apache Flink
• Experience working in Kubernetes (K8s) environments
• Familiarity with OpenSearch or similar search technologies
• Hours flexibility - some cross over with the US teams