Machine Learning Engineer

📋 Job Overview

We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability.

🏢 About and digital

and digital is a company that helps organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability.

🎯 The Role

You care deeply about producing high-quality work that delivers real value. You’re comfortable navigating ambiguity and solving complex problems collaboratively. You bring strong expertise in your craft, alongside a willingness to keep learning. You communicate clearly and build trust quickly with clients and teammates. You’re pragmatic, adaptable and outcome-focused. You value low-ego collaboration and enjoy working as part of multidisciplinary teams.

✅ Key Responsibilities

• You have hands-on experience deploying and operating artificial intelligence and machine learning architectures in production ecosystems
• You are proficient in constructing high-volume batch processing systems, real-time microservices, automated continuous retraining, and system observability
• You possess deep understanding across the entire machine learning lifecycle, architecting sustainable solutions without compromising key product outcomes
• You demonstrate strong technical foundations in Python and SQL alongside modern modeling toolkits like PyTorch, TensorFlow, and Scikit-learn
• You bring practical expertise with public cloud environments, preferably Google Cloud Platform technologies such as BigQuery, Vertex AI, and Dataflow
• You are skilled with deployment pipelines, version control, and containerization platforms like Docker and Kubernetes
• You bring familiarity with advanced generative AI, Large Language Models, and agent orchestration tools such as ADK, LangChain, or AutoGen
• You articulate technical trade-offs effectively, influencing both engineering peers and non-technical business partners
• You are an inquisitive self-starter who pays attention to detail and continuously explores modern machine learning tooling

⭐ Desirable Experience

• A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Engineering, or an equivalent technical field
• At least three years of professional experience operating as a Machine Learning Engineer or Data Engineer
• Strong appreciation of commercial KPIs and experience aligning technical model performance with broader business objectives

🎁 Benefits

Competitive

🛂 Visa & Eligibility

No specific visa or eligibility information provided.