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 you:
- 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
What you’ll bring to the table:
- 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
Not essential, but nice to have:
- 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
AI Statement
We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.
Equal Opportunities Statement
Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application.
We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.