AI Solutions Engineer
AI Solutions Engineer
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Job Description
Multiverse is the upskilling platform for AI and Tech adoption.
We have partnered with 1500 companies in the US & UK to deliver a new kind of learning thats transforming todays 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 theyve 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 UKs first EdTech unicorn.
But we arent stopping there. With a strong operational footprint and 800 employees globally we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output. Join Multiverse and power our mission to provide equitable access to economic opportunity for everyone.
The Opportunity:
We are seeking a highly motivated and skilled AI Solutions Engineer to join our growing team. In this pivotal role you will be instrumental in bridging the gap between business needs and advanced AI capabilities driving the development and implementation of intelligent solutions that automate workflows optimize processes and deliver tangible business value across our existing operations. You will work within cross-functional teams bringing a strong technical background and a product-oriented mindset to solve complex challenges.
What Youll Do:
Ideation & Discovery: Collaborate with business stakeholders to identify high-impact opportunities for AI-driven solutions and workflow automation. Conduct thorough needs assessments define problem statements and translate business requirements into technical specifications.
Solution Design & Architecture: Design end-to-end AI and automation solutions selecting appropriate off the self applications machine learning models algorithms and technologies (e.g. NLP computer vision predictive analytics RPA) to address identified problems. Develop solution architectures that are scalable robust and maintainable within our existing infrastructure.
Development & Implementation: Build test and deploy AI models and automated workflows. This includes data acquisition preparation model training evaluation and integration with existing systems and applications.
Prototyping & Experimentation: Rapidly prototype and iterate on AI solutions to demonstrate feasibility and gather early feedback. Conduct experiments to validate hypotheses and optimize model performance.
Automation & Integration: Implement robust automation scripts and processes to streamline workflows reducing manual effort and improving efficiency. Ensure seamless integration of AI components into our existing technology stack.
Documentation & Knowledge Sharing: Create clear and comprehensive technical documentation including solution designs implementation details and operational procedures. Share knowledge and best practices with team members.
Collaboration & Communication: Work closely with data scientists software engineers product managers and business users throughout the entire AI product lifecycle. Effectively communicate technical concepts to non-technical audiences.
Stay Current: Continuously research and evaluate emerging AI technologies tools and best practices to ensure our solutions remain at the cutting edge.
About You:
2 years of experience in developing and deploying AI/ML solutions and automating workflows in a professional setting.
Strong proficiency in GenAI tools on the market
Experience with data manipulation cleaning and feature engineering.
Experience with workflow automation tools and concepts (e.g. RPA platforms scripting API integrations).
Strong problem-solving skills and a results-oriented approach.
Excellent communication collaboration and interpersonal skills.
Ability to work independently and as part of a dynamic cross-functional team.
Bonus Points If You Have:
Experience with front-end development frameworks (e.g. React Angular ) for building user interfaces for AI applications.
Experience with User Centred Design
Experience with agile development methodologies.
Benefits
Time off - 27 days holiday plus 5 additional days off: 1 life event day 2 volunteer days 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa a medical cashback scheme life insurance gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - and the opportunity to take part in our work-from-anywhere scheme
Team fun - weekly socials company wide events and office snacks!
Our commitment to Diversity Equity and Inclusion
Were an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race colour ancestry religion sex national origin sexual orientation age citizenship marital status disability gender gender identity or expression or veteran status. This will never change. Read our Equality Diversity & Inclusion policy here.
Right to Work
Do you have the right to work in the UK Unfortunately at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.
Safeguarding
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (DBS) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
Employment Type
Full-Time
