Role Description You will support the design and development of practical AI-enabled learning systems, workflows, and technical learning experiences that help learners understand and apply AI tools in real-world environments. The successful candidate will combine hands-on AI implementation experience with the ability to translate complex concepts into accessible and engaging learner experiences. This is a highly collaborative role requiring someone comfortable operating across experimentation, tooling, workflow design, learning systems, prototyping, QA, and implementation. Key Responsibilities - Design and support AI-enabled learning systems and technical learning experiences - Help shape AI Builder curriculum content, workflows, labs, and learner journeys - Create and review practical AI exercises, prompts, demos, and workflow examples - Prototype AI-enabled workflows, automations, copilots, or learning experiences - Support technical QA and testing across AI learning products and experiences - Translate complex AI concepts into practical learner-friendly experiences - Collaborate closely with instructional designers, production teams, and technical stakeholders - Evaluate emerging AI tools, workflows, and platforms for learning use cases - Support facilitator guidance, learner enablement materials, and technical documentation - Contribute to experimentation, iteration, and continuous improvement across AI learning products - Identify technical risks, usability challenges, and implementation considerations early - Support scalable and commercially relevant approaches to AI-enabled learning experiences Qualifications - Strong hands-on experience using modern AI tools, platforms, or workflows in practice - Experience building, testing, or implementing AI-enabled workflows, copilots, automations, assistants, or user experiences - Comfortable working in fast-moving, evolving technical environments - Ability to explain technical AI concepts clearly to non-technical audiences - Strong implementation, experimentation, and problem-solving mindset - Experience supporting technical learning, enablement, education, or product adoption initiatives - Excellent communication and stakeholder collaboration skills - Ability to bridge technical and non-technical conversations effectively Requirements - Experience within learning technology, developer education, technical training, or AI enablement environments - Exposure to OpenAI APIs, prompt engineering, workflow automation, or AI agent tooling - Experience creating labs, sandbox exercises, workshops, walkthroughs, or facilitator-led learning experiences - Experience collaborating with instructional design or learning production teams - Consulting, freelance, or transformation programme experience - Experience evaluating practical enterprise use cases for AI adoption Benefits - 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

Role Description We are partnering with an innovative digital transformation and learning business seeking a highly technical AI Learning Architect to support the development of AI-enabled learning products, workflows, and platform experiences. This role is suited to someone with genuine hands-on AI product experience and strong technical capability across solution design, systems thinking, and AI-enabled user experiences. The Role: - You will work closely with stakeholders across product, operations, and technical delivery to help shape scalable AI-powered learning and knowledge solutions. - The successful candidate will combine technical depth with strong commercial and operational awareness, helping translate evolving business requirements into practical, user-focused technical solutions. - This is a highly collaborative role requiring someone comfortable operating across architecture, AI tooling, workflows, experimentation, and implementation. Key Responsibilities - Architect and support AI-enabled learning and knowledge solutions - Help shape scalable AI workflows and technical learning experiences - Advise on AI tooling, automation, and platform capabilities - Translate business and operational requirements into technical solutions - Support prototyping, testing, and iteration of AI-driven experiences - Collaborate across product, operations, engineering, and delivery teams - Evaluate and recommend scalable technical approaches and integrations - Identify risks, technical constraints, and implementation considerations early - Support technical decision-making across AI product and learning ecosystems - Contribute to best practices around AI-enabled delivery and workflows Qualifications - Strong hands-on experience working with AI products, tools, or platforms - Technical background spanning architecture, systems design, or technical solutioning - Experience building or supporting AI-enabled workflows or products - Comfortable working in fast-moving, evolving technical environments - Ability to bridge technical and non-technical conversations effectively - Strong problem-solving and implementation mindset - Experience evaluating scalable platform or workflow solutions - Excellent stakeholder communication skills Requirements - Experience within learning technology, knowledge platforms, or digital transformation environments - Exposure to AI workflow automation and enterprise AI tooling - Consulting, freelance, or transformation programme experience - Experience working across product and infrastructure teams Benefits - 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 Contract Details - Freelance / contract engagement - Approx. 160 hours per month - UK time zone alignment preferred - Potential for extension or long-term opportunity

Role Description 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. 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. 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 Qualifications - 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 Requirements - 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 Benefits - 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 Company Description 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.

• Build Creative Pipelines: Create and manage advanced, node-based generative AI workflows for production-ready visuals. • Automate the Boring Stuff: Write simple scripts (Python or similar) to handle batch image processing and asset organization. • Bridge the Gap: Act as the 'translator' between our designers, technical engineering team and our Creative Technology Lead. • Test & Ship: Find the best new AI models, test them, and turn them into reliable tools the whole design team can use daily. Define best practices, necessary documentation, and technical guardrails.