Remote AI Engineer - EdTech, Equity & Impact

Oliver Bernard; United Kingdom; Hybrid; GBP 75,000 - 85,000; Full time

Job summary

Oliver Bernard is seeking an AI Engineer for a fully remote UK role with occasional London meetups. You will build and optimize AI-assisted marking, feedback and assessment workflows across documents, images and video.

The role focuses on production Python, LLMs and practical trade-offs between quality, latency and cost. The ideal candidate has 3+ years in AI/ML engineering or a relevant postgraduate degree, plus experience evaluating non-deterministic systems and designing robust tests.

Qualifications

• Production AI/ML experience with LLM/ML systems.
• Experience designing evaluations or regression tests with statistical grounding.
• 3+ years in AI/ML engineering or a relevant postgraduate degree with applied experience.
• Based in the UK with right to work in the UK.

Responsibilities

• Deliver AI-assisted assessment workflows from requirements through production and ongoing improvement.
• Translate marking guidance into rubrics, schemas, prompts and LLM programs.
• Build and maintain production Python code for assessment workflows and shared AI components.
• Design evaluation methods using representative datasets, regression tests, and statistical analysis.
• Investigate failed or contested assessments and improve workflows accordingly.
• Build human-review and feedback-driven optimisation workflows.
• Extend multimodal assessment capabilities across documents, images and video.

Skills

LLM systems

Python production

Statistical analysis

Regression tests

AI/ML engineering

Education

Postgraduate degree in AI/ML

Tools

Langfuse

MLflow

W&B

LangSmith

DSPy

AdalFlow

Job description

Oliver Bernard is seeking an AI Engineer for a fully remote UK role with occasional London meetups. You will build and optimize AI-assisted marking, feedback and assessment workflows across documents, images and video.

The role focuses on production Python, LLMs and practical trade-offs between quality, latency and cost. The ideal candidate has 3+ years in AI/ML engineering or a relevant postgraduate degree, plus experience evaluating non-deterministic systems and designing robust tests.