Senior ML Engineer - Personalisation

Beyond is a technology consultancy helping organizations thrive in a rapidly changing world.

We build, modernize, scale, and operationalize technology, creating Cloud and AI solutions to unlock productivity and drive customer growth.

Role Overview

• We're looking for a driven and proactive Senior ML Engineer to design and deploy the next generation of intelligent personalisation systems. This role is central to our client's initiatives, with a strong focus on building dynamic, real-time decisioning engines that move beyond static rules to deliver Next Best Action (NBA) models and sophisticated feed and collection ranking. You will work hands-on within the GCP ecosystem, leveraging tools like Vertex AI to build and scale a wide range of ML solutions that directly impact user experience and marketing effectiveness.

What You'll Do:

• Develop, deploy, and iterate on scalable, real-time Next Best Action (NBA) and ranking models (e.g., for home feeds, collections, and contextual nudges).
• Design and implement end-to-end, production-grade ML pipelines on GCP, integrating with Vertex AI services (including Vertex AI Search) and existing CI/CD patterns.
• Apply a broad range of machine learning techniques (including traditional ML, deep learning, and LLMs) to solve complex personalisation and marketing technology challenges.
• Collaborate with data engineering teams to define feature requirements and utilize democratized feature stores for low-latency model serving.
• Implement robust frameworks for evaluating model and system quality through both offline metrics and live A/B experimentation.
• Prototype and build models for marketing technology use cases, leveraging customer attributes from diverse sources (like Oracle) to power personalized prompts.
• Implement approaches to enhance the performance, reliability, and observability of ML services, ensuring low-latency, high-availability systems.
• Champion engineering best practices and mentor engineers across teams, raising the bar for code quality and system design.

What We're Looking For

• Degree in Computer Science, Engineering, or a related technical field.
• 7+ years of experience in developing and deploying production-grade machine learning models and large-scale distributed backend systems.
• Deep, hands-on expertise with the GCP ecosystem, particularly Vertex AI (including Vertex AI Search), BigQuery, and Dataflow/Pub/Sub for real-time processing.
• Proven experience across a range of applied ML for personalisation, with deep expertise in designing and implementing ranking algorithms (e.g., Learning to Rank - LTR) and Next Best Action (NBA) models.
• Strong foundation in a variety of ML models (e.g., Collaborative Filtering, Matrix Factorization, Gradient Boosted Trees) and familiarity with sequence-aware models (like RNNs/Transformers).
• Mastery of Python and its core ML ecosystem, including TensorFlow, PyTorch, and Scikit-learn.
• Demonstrable experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred), using Kubernetes, Docker, CI/CD, and observability tools.
• A proactive, self-starting mindset with the proven ability to own model development end-to-end, from prototype to production.
• Strong communication skills, being able to engage diverse technical stakeholders.

Nice to Have

• Relevant Google Cloud certifications (e.g., Professional Machine Learning Engineer).
• Experience with Datadog for monitoring and observability.
• Experience in fine-tuning and integrating LLMs for personalisation, search, or recommendation tasks.
• Specialisation in related ML areas such as reinforcement learning (for NBA), causal inference, or ML System Architecture.
• Familiarity with Oracle databases as a data source.
• Experience in designing or contributing to centralised feature stores.

Having been named among the Sunday Times Best 100 Companies, we believe culture plays a large role in what we offer as an organization. We actively promote diversity in all its forms across our Studios, and we proudly, passionately, and proactively strive to create a culture of inclusivity and openness for all our employees.

Beyond is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions in a space of belonging. It is not about race, gender, or age, it is about people. And without our people being their most creative and innovative selves, we are nothing.