Join a global financial services technology organisation that is investing heavily in Artificial Intelligence and Machine Learning to deliver next-generation digital solutions. You’ll work in a collaborative, fast-paced environment where innovation, ownership, and engineering excellence are central to how teams operate.
About Your New Job
We are seeking a Principal Machine Learning Engineer to join an AI and Machine Learning squad within a Workplace Investing technology group. In this senior role, you will work end-to-end across the ML lifecycle, partnering closely with data engineers and data scientists to design, build, deploy, and scale AI-driven solutions that support participant services and business operations.
You will take a hands-on leadership role in building cloud-based ML platforms, data pipelines, and MLOps capabilities, while influencing technical direction and mentoring engineers across multiple initiatives.
What Skills You Need
Significant experience working on large-scale software and data platforms
Strong background in AI/ML engineering with exposure to the full machine learning lifecycle
Hands-on experience building and deploying ML solutions in cloud environments (AWS preferred)
Strong experience with CI/CD pipelines and DevOps tooling (Jenkins, uDeploy, Concourse or similar)
Hands-on experience with AWS services such as S3, EC2, Lambda, Glue, SNS, and SQS
Experience deploying data pipelines and OLTP systems using platforms such as RDS/Postgres and data warehouses like Snowflake
Experience with orchestration tools such as Airflow, Prefect, Luigi, or Kubeflow
API development experience using Python and/or Java (Spring Boot)
Strong understanding of model development, inference, monitoring, and retraining
Proven technical leadership skills with the ability to communicate effectively across diverse teams
Experience with ML platforms such as SageMaker, Azure ML, MLFlow, Seldon, or similar
Exposure to cloud AI services and cognitive platforms
Interest in emerging AI/ML technologies and MLOps practices
What’s on Offer
Opportunity to work on strategic, high-impact AI/ML initiatives
Senior-level role with strong technical influence and ownership
Collaborative, agile engineering culture
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