Senior ML Engineer — Hybrid, Global Impact

EducationPals; Greater London; Hybrid; GBP 60,000 - 110,000; Full time

Job summary

EducationPals is seeking a data and AI-focused professional to join our team in a hybrid role that combines in-office collaboration with flexible remote work. You will develop and refine data pipelines for AI systems, select modeling approaches, and integrate AI outputs into real-world workflows to support business decisions.

The role emphasizes governance, evaluation, and ongoing improvement of AI models, with emphasis on reliability and user feedback to drive continuous enhancement across

Responsibilities

• Transform messy operational data into reliable inputs for AI systems through robust pipeline architecture.
• Choose appropriate AI approaches and design deployment architectures that meet latency, cost, and reliability requirements.
• Embed AI outputs into existing workflows where users can act on them effectively and provide feedback.
• Add constraints and verification layers that prevent hallucinations, errors, and out-of-bounds outputs.
• Measure what matters by designing evaluation systems that track accuracy, business impact, and failure modes.
• Design systems that capture user feedback and operational signals to improve model performance over time.
• Establish processes that make AI systems auditable, maintainable, and understandable to non-technical stakeholders.

Skills

AI fundamentals

Machine learning

Job description

EducationPals is seeking a data and AI-focused professional to join our team in a hybrid role that combines in-office collaboration with flexible remote work. You will develop and refine data pipelines for AI systems, select modeling approaches, and integrate AI outputs into real-world workflows to support business decisions.

The role emphasizes governance, evaluation, and ongoing improvement of AI models, with emphasis on reliability and user feedback to drive continuous enhancement across