Machine Learning Engineer

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

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