At a Glance
- Tasks: Lead the optimisation of AI learning platforms and enhance user experiences.
- Company: Join a forward-thinking AI learning and digital transformation business.
- Benefits: Flexible remote work, potential for long-term engagement, and impactful projects.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
- Why this job: Make a real difference in modern learning environments with cutting-edge technology.
- Qualifications: Hands-on experience with cloud platforms and AI-enabled systems is essential.
The predicted salary is between 60000 - 80000 £ per year.
About Us
At our organisation, we redefine executive and business support through exceptional problem-solving, proactive execution, and advanced integration of technology and AI. We partner with purpose‑led leaders who value strategic collaborators capable of swiftly turning complexity into clarity and challenges into opportunities.
About Our Client And The Role
Freelance / Contract | Remote (UK Time Zone Preferred)
We are partnering with an innovative AI‑enabled learning and digital transformation business seeking a highly practical AI Learning Platform & Systems Lead to support the technical delivery, scalability, reliability, and optimisation of modern AI‑enabled learning environments and platform ecosystems. This role is suited to someone with strong hands‑on technical capability who enjoys working across learning systems, AI‑enabled workflows, operational tooling, integrations, and platform performance within fast‑moving product and enablement environments. This is not a purely enterprise infrastructure or back‑end engineering role. We are specifically looking for someone who can combine platform thinking with practical learning delivery needs, ensuring systems, environments, automations, and operational workflows are scalable, reliable, user‑friendly, and fit for modern AI learning experiences.
Initially, this engagement will begin on a freelance / contract basis, with the potential to evolve into a longer‑term opportunity as the wider programme grows.
The Role
You will support the technical operation and optimisation of AI‑enabled learning platforms, systems, environments, and workflows across a growing learning and enablement ecosystem. The successful candidate will be highly practical, technically credible, and comfortable operating across platform operations, cloud environments, integrations, automations, technical workflows, learner systems, and operational scalability. You will work closely with product, learning, operations, and technical stakeholders to help ensure AI‑enabled learning environments are stable, scalable, commercially practical, and operationally effective.
Key Responsibilities
- Support the scalability, reliability, and operational performance of AI‑enabled learning platforms and systems
- Help design and optimise technical environments that support AI learning experiences, labs, workflows, and enablement programmes
- Support integrations, automations, and operational workflows across learning and delivery ecosystems
- Collaborate with product, operations, instructional, and technical teams to define platform and systems requirements
- Contribute to platform optimisation, automation, and operational improvements
- Support technical troubleshooting, issue resolution, and workflow problem‑solving
- Evaluate technical risks, dependencies, and scalability considerations across learning systems and environments
- Help establish practical operational best practices for platform management and resilience
- Support scalable learner experiences through effective systems design and operational workflows
- Contribute to experimentation and continuous improvement across AI‑enabled learning environments
- Support technical documentation, implementation planning, and operational enablement where required
Requirements
Essential Experience
- Strong hands‑on experience supporting modern cloud‑based platforms, systems, or technical environments
- Experience working with integrations, workflows, automations, or operational platform tooling
- Exposure to AI‑enabled products, systems, workflows, or learning environments
- Strong understanding of platform reliability, scalability, integrations, and operational resilience
- Experience supporting complex technical ecosystems or delivery environments
- Comfortable operating in fast‑paced, evolving technical environments
- Strong troubleshooting and technical problem‑solving capability
- Excellent stakeholder communication and cross‑functional collaboration skills
- Ability to bridge technical and operational conversations effectively
Highly Desirable
- Experience supporting AI‑enabled learning, enablement, knowledge, or digital learning platforms
- Exposure to workflow automation, platform optimisation, DevOps, or operational tooling initiatives
- Experience working alongside learning, instructional design, or enablement teams
- Familiarity with learner environments, technical labs, or workflow‑driven learning experiences
- Consulting, freelance, or transformation programme experience
- Experience evaluating scalable operational approaches to AI adoption and enablement
Important Note
We are particularly interested in candidates with practical technical implementation experience within modern AI‑enabled environments rather than purely enterprise infrastructure or strategic architecture backgrounds. Please highlight:
- Platforms, systems, workflows, or automations you have personally supported or implemented
- Experience working within AI‑enabled or learning‑focused technical environments
- Examples of operational optimisation, integrations, or workflow improvement work
- Any exposure to AI tooling, automation platforms, cloud systems, or learning ecosystem delivery
Benefits
This is an opportunity to join a collaborative and ambitious team where you can make an immediate impact. You'll work on meaningful projects, help drive operational excellence, and play a key role in ensuring successful delivery across the business.
Contract Details
- Freelance / contract engagement
- Approx. 160 hours per month
- UK time zone alignment preferred
- Potential for extension or longer‑term opportunity
What’s On Offer
- Flexible remote working environment
- Opportunity to grow into greater project ownership
- Exposure to multiple projects and delivery teams
- Collaborative, fast‑paced environment with strong development potential
Diversity & Inclusion
FYXER recognises the benefits of a diverse workforce and strives to be an inclusive organisation. We are committed to treating everyone with dignity and respect regardless of race, culture, gender, disability, age, sexual orientation, religion or belief and we promote diversity of thought.
AI Learning Platform & Systems Lead (Fixed-Term Contract - Remote) employer: Pickle
At our organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers employees to make a meaningful impact in the realm of AI-enabled learning. With flexible remote working options and opportunities for professional growth, you will be part of a dynamic team dedicated to driving operational excellence and transforming complex challenges into clear solutions. Join us to engage in exciting projects that not only enhance your skills but also contribute to the evolution of modern learning environments.
StudySmarter Expert Advice🤫
We think this is how you could land AI Learning Platform & Systems Lead (Fixed-Term Contract - Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your experience with AI learning platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and learning systems. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Learning Platform & Systems Lead (Fixed-Term Contract - Remote)
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your hands-on experience with cloud-based platforms and AI-enabled systems. We want to see how you've tackled technical challenges in the past, so don’t hold back on those examples!
Tailor Your Application:Take a moment to customise your application for this role. Use the job description as a guide to align your skills and experiences with what we’re looking for. It shows us you’re genuinely interested and have done your homework!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see your qualifications and how they fit with our needs.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Pickle
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of AI-enabled learning platforms. Brush up on your experience with cloud-based systems, integrations, and automations. Be ready to discuss specific projects where you’ve implemented or optimised these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your troubleshooting abilities and how you've resolved complex issues in fast-paced environments. This role requires a hands-on approach, so be ready to demonstrate how you can turn challenges into opportunities.
✨Collaborate Like a Pro
Since this position involves working closely with various teams, think of instances where you’ve successfully collaborated across functions. Highlight your communication skills and how you bridge technical and operational conversations effectively.
✨Emphasise Continuous Improvement
Be prepared to discuss your experience with experimentation and optimisation in AI learning environments. Share any initiatives you’ve led or contributed to that improved platform performance or user experience, showcasing your commitment to ongoing development.
