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 employee