Data Science/Engineer & AI Coach / Assessor

Versende Ltd; Greater London; Remote; GBP 48,000 - 60,000; Full time

Job summary

Versende Ltd. is recruiting an Independent End Point Assessor to join the Data & AI delivery team. This full-time, permanent role is fully remote and home-based, offering the opportunity to assess apprentices across Data Engineer, ML Engineer and AI Data Specialist standards.

You will evaluate technical work, provide constructive feedback and contribute to standardisation activities while keeping up to date with evolving assessment plans.

Qualifications

• Hands-on experience across data engineering, ML and AI disciplines.
• Experience with data pipelines, ETL/ELT, SQL and cloud platforms.
• Experience designing, training, deploying and monitoring ML models in production (Python, MLOps).
• Knowledge of modern AI, generative AI techniques and responsible AI.
• Experience with EPA processes and apprenticeship standards.
• Experience using e-portfolio systems to capture evidence of learning.

Responsibilities

• Conduct end point assessments across Data Engineer L5, ML Engineer L6 and AI Data Specialist L7.
• Assess projects, reports, presentations and tests; grade to pass, merit or distinction.
• Question apprentices with depth to test genuine competence.
• Provide clear, fair written feedback and high-quality assessment records.
• Maintain consistency and standardisation across assessments and moderation.
• Stay up-to-date with changes to standards and assessment plans.

Skills

Data pipelines

SQL

Cloud platforms

Python

MLOps

Generative AI

Education

Degree in a technical or numerate subject

Master's degree (advantage for Level 7)

Tools

dbt

Databricks

Airflow

Snowflake

BigQuery

Azure

AWS

GCP

Job description

Job Title:

Independent End Point Assessor - Data & AI

Job ID:

11922

Location:

UK Remote / Home Based (fully remote)

Job Type:

Permanent

Salary:

Up to £60k

Industry:

Education

Assessing across: Data Engineer Level 5, Machine Learning Engineer Level 6, and Artificial Intelligence (AI) Data Specialist Level 7

Company:

One of the UK's leading Apprenticeship Training Providers is recruiting an Independent End Point Assessor to join their Data & AI delivery team.

This is a full time, permanent position which is fully remote and home based.

They believe in people-powered transformation because they know that all transformation starts with people. They are a professional learning organisation that upskills people, uplifts cultures and future-proofs organisations in a fast-moving world. They design and deliver interactive learning experiences in data, AI, business analysis and technology, including apprenticeships and professional qualifications, many of which maximise UK Government future skills funding.

What you'll do:

As an Independent End Point Assessor, you will assess apprentices against the requirements of three technical standards and make robust, evidence-based grading decisions. You will:

• Conduct end point assessments across Data Engineer L5, Machine Learning Engineer L6 and AI Data Specialist L7, applying each assessment plan accurately.
• Assess project reports, presentations, professional discussions and technical tests, and grade to pass, merit or distinction against the published criteria.
• Question apprentices with enough technical depth to test genuine competence, not just surface knowledge.
• Give clear, fair and constructive feedback, and produce high-quality written assessment records.
• Maintain consistency and standardisation across assessments, contributing to standardisation activities and moderation.
• Keep up to date with changes to the standards and assessment plans.

Technical experience required:

This is a technical role. You will be assessing at Level 5 through Level 7, so you need genuine hands-on depth across some or all of the following:

• Data engineering: building and maintaining data pipelines, ETL/ELT, SQL, cloud data platforms (for example Azure, AWS or GCP), tools such as dbt, Databricks, Airflow, Snowflake or BigQuery.
• Machine learning: designing, training, deploying and monitoring models in production, Python, and the ML lifecycle including MLOps.
• Applied AI: modern AI and generative AI techniques, responsible AI, and evaluating AI systems.
• Occupational competence at or above the level you are assessing, evidenced by your own career experience.

Desirable qualifications and experience:

• Degree in a technical or numerate subject (data, computer science, engineering, maths or similar). A master's is an advantage for Level 7.
• Assessor qualifications (A1, TAQA, CAVA, or D32/D33), or a willingness to work towards them.
• Familiarity with apprenticeship standards and end point assessment processes.
• Previous EPA, assessing, coaching or teaching experience in a technical setting.
• Experience using e-portfolio systems to capture evidence of learning.