AI Solution Coordinator at Multiverse
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

27 Sep, 25

Salary

0.0

Posted On

27 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1,500+ companies in the US & UK to deliver a new kind of learning that’s transforming today’s workforce.
Multiverse apprenticeships are designed for people of any age and career stage and focus on building critical AI, data, and tech skills. Multiverse learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In June 2022, Multiverse announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes the company the UK’s first EdTech unicorn.
But we aren’t stopping there. With a strong operational footprint and 800+ employees globally, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to provide equitable access to economic opportunity, for everyone.

THE OPPORTUNITY:

We’re looking for a highly motivated and skilled AI Solution Coordinator to join our growing team. In this pivotal role, you’ll bridge the gap between business needs and advanced AI capabilities, driving the development and implementation of intelligent solutions. You’ll work within cross-functional teams, using your strong technical background and product-oriented mindset to automate workflows, optimize processes, and deliver tangible business value across our operations.

Responsibilities
  • Support AI Solution Development: Assist in designing and building AI-powered solutions to automate and enhance business workflows. Work with team members to prepare and pre-process data for AI model training. Help integrate AI components into internal systems and digital products.
  • Collaborate with Teams: Partner with business stakeholders and cross-functional teams to understand process challenges and identify areas for AI/automation. Attend discovery sessions and assist in translating business needs into technical tasks with mentorship from senior engineers.
  • Prototype & Experiment: Participate in the development of proof-of-concept solutions using tools such as Python, APIs, or low-code platforms. Support testing and evaluation of model performance under the guidance of experienced engineers.
  • Automation & Integration: Contribute to scripting and automation workflows using Python or RPA tools to reduce manual effort and streamline processes. Help set up and maintain data pipelines and integrations between systems.
  • Documentation & Learning: Maintain clear technical documentation on code, processes, and solution designs. Continuously improve your understanding of AI/ML, cloud tools, and automation platforms through team learning and personal development.
  • Stay Curious: Stay informed on emerging AI tools and technologies, especially in Generative AI, workflow automation, and data processing.
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