Day Rate: Up to £500 per day
Location: Hybrid – Remote with 1 week per month onsite in Dublin
Role Overview
We are working with a global investment company seeking an experienced Principal Machine Learning Engineer to join their Artificial Intelligence & Machine Learning function on a long-term contract.
You will work within a cross-functional squad of Machine Learning Engineers, Data Engineers, and Data Scientists, delivering scalable, production-grade AI/ML solutions that support core business and client-facing services. This is a hands‑on role covering the full end‑to‑end ML lifecycle, from design and development through to deployment and ongoing optimisation.
Key Responsibilities
Design, build, deploy, and maintain production ML systems in a cloud environment
Contribute across the full ML lifecycle, including data pipelines, feature engineering, model deployment, monitoring, and retraining
Develop and operate MLOps pipelines to support reliable model delivery and inference
Build and maintain cloud-based data and analytics platforms to support ML workloads
Develop and deploy APIs and microservices to serve ML models and data products
Work closely with data scientists, engineers, and business stakeholders to deliver high-quality AI/ML solutions
Provide technical leadership, supporting best practices, code quality, and architectural decisions
Ensure solutions meet enterprise standards for security, scalability, and performance
Strong experience as a Machine Learning Engineer working on large-scale, production systems
Proven hands‑on experience across the end‑to‑end ML lifecycle
Solid experience with AWS cloud services, particularly for data, analytics, and ML (e.g. S3, EC2, Lambda, Glue, RDS/Postgres, EKS)
Strong MLOps experience, including model deployment, tuning, monitoring, and inference
Experience building and deploying data pipelines and working with data warehouses (e.g. Snowflake)
Strong SQL skills and experience working across multiple data platforms
Experience with CI/CD pipelines and DevOps practices (e.g. Jenkins or equivalent)
Hands‑on experience with workflow orchestration tools (Airflow, Prefect, Kubeflow, or similar)
Strong API and microservices development skills using Python and/or Java (Spring Boot)
Experience with containerisation and orchestration (Docker, Kubernetes)
Nice to Have
Experience with ML platforms and tooling (AWS SageMaker, Azure ML, MLflow, Seldon, etc.)
Experience working within financial services or investment environments
10‑month contract
Up to £500 per day
Hybrid working: Remote with 1 week per month onsite in Dublin
#J-18808-Ljbffr