Staff Software Engineer - Machine Learning

Salary

Core Qualifications

Key Responsibilities

• •Lead strategically important AI/ML initiatives, shaping architecture and engineering practices.
• •Support the Engineering Manager in setting technical direction and uplifting ML engineering capability.
• •Collaborate across functions to understand needs, set direction, and design solutions aligned to commercial priorities.
• •Inform product discovery, delivery planning, and technical design with balanced views on feasibility, effort, quality, risk, and maintainability.
• •Design, build, deploy, and operate end-to-end ML products, pipelines, and services using Python, modern ML frameworks, and AWS.
• •Own the production ML lifecycle, including experimentation, versioning, evaluation, deployment, monitoring, and continuous improvement.
• •Establish robust evaluation frameworks to track performance, detect drift, and maintain quality at scale.
• •Develop and optimise solutions across product use cases including LLM engineering, relevance, retrieval, ranking, and generative AI.
• •Leverage or fine-tune third-party models, embeddings, transformers, and LLMs in production.
• •Build and evolve data and feature foundations for real-time and batch inference.
• •Contribute to shared ML platform capabilities that accelerate experimentation, delivery, and operational maturity.
• •Raise the bar for engineering quality, technical judgement, and team effectiveness through mentoring and cross-squad collaboration.
• •Act as an AI/ML engineering SME, championing ethical and compliant use of data.