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Turner & Townsend
HR Assistant
Leeds, England, United Kingdom · Hybrid
Mid level
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Full-time
Collaborative, People-centered Performance Culture, Opportunities To Grow In A Fast-paced Environment, Meaningful Work Supporting Dependable And Accessible Learning Experiences
Posted 26d ago
~40 hrs/week
Remote in Leeds, England, United Kingdom
Responsibilities
The role focuses on safeguarding the technical integrity of an AI Engineering learning programme by verifying code, integrations, and learner environments. It involves providing real-time technical support to learners and coaching non-technical staff on developer workflows.
Requirements
Candidates need demonstrated experience in software testing or QA with proficiency in Python and Git-based workflows. Knowledge of AI patterns, LLM APIs, and the ability to troubleshoot complex system dependencies is essential.
Full job description
Intro
At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group.
Role Overview
The Learning Systems Engineer will safeguard the technical integrity of an AI Engineering learning programme, ensuring that code, integrations and learner development environments are reliable, reproducible and ready for delivery. This is a hands-on technical assurance and support role for someone who combines strong engineering discipline with patience, clear communication and a genuine interest in education.
The role does not own subject-matter expertise or curriculum authorship. Its focus is to verify, maintain and support the technical systems through which learning is built and delivered.
Key Responsibilities
Verify that code, technical activities and model solutions run successfully from end to end in the approved target environment before progressing to formal content and academic review
Test integrations between learning storyboards, externally developed code, repositories, learner environments and the Canvas learning management system
Identify technical gaps, dependency issues and failure points where learning content, code and platform components connect
Set up and maintain learner repositories, environment configurations, API connections and supporting developer tooling across cohorts
Ensure learner environments remain stable, reproducible and appropriately version-controlled throughout development and live delivery
Define clear technical acceptance criteria for work produced by external technical contributors and review outputs against those standards
Provide front-line technical support to learners during live delivery, diagnosing and resolving environment, code and integration issues in real time
Respond rapidly to technical incidents during delivery windows so that learning sessions can continue with minimal disruption
Coach Learning Experience Designers and other non-technical colleagues to use Git, AI-assisted workflows and developer environments confidently in their day-to-day work
Build lightweight internal automations and AI-assisted routines that reduce repetitive testing, validation and build activities
Contribute practical technical input into decisions about portfolio publishing, development environments and other elements of the learning technology stack
Demonstrated experience in software testing, technical quality assurance, code review or a closely related engineering role
Strong ability to read, run, test and debug code written by other developers
Proficiency with Python and confidence troubleshooting dependency, configuration and runtime issues
Practical understanding of AI application patterns, including large language model APIs, retrieval-augmented generation and agent-based workflows
Proficiency with Git-based development workflows, repository management and continuous integration and deployment practices
Experience configuring and troubleshooting developer environments, APIs, databases, hosting services and system integrations
Strong systems-thinking capability, with the ability to identify dependencies, risks and likely failure modes across a technical toolchain
Experience using AI-assisted development tools and the ability to support non-technical colleagues in adopting them responsibly
Clear, patient communication skills and confidence supporting learners and stakeholders during time-sensitive live delivery
A calm and responsive approach to resolving technical issues under pressure
A genuine interest in learning, education and the effective use of technology to support learner outcomes
Experience with some of the following would be valuable: GitLab, GitLab CI/CD, GitLab Duo, Claude, Claude Code, Python 3.12, uv, PostgreSQL, pgvector, Render, Google Cloud Run, Streamlit, Canvas, LLM APIs, H5P, GitLab Pages or GitHub Pages
Pre-boarding & Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.
Throughout every stage, we value clear communication, respectful engagement, and timely feedback.
Sometimes your business can have the best product in the world. You can have some of the brightest minds. But success or, as is more often the case, failure comes down to one thing. People.
A high performing, well-engaged workforce, with a set of robust processes that enable them to maximise performance in their job roles, while protecting you as an employer, doesn’t just appear from thin air and miraculously work in harmony.
Peopleworth covers every employee milestone and touchpoint, and demonstrates the positive commercial impact of putting people first in your organisation.
The net result? Business performance, business culture, business integrity.
Our Services:
Strategic HR
Culture and employee engagement
Recruitment branding and employer value proposition
Communications