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Multiverse
Senior Machine Learning Operations Engineer (ML Ops)
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Description
This role will be within the AI Team, working closely with other ML Engineers, Data Scientists, ML Ops Engineers, Product Managers. While your primary focus will be on MLOps, you will also be asked to support the team with its broader Infrastructure & DevOps needs. The AI Team’s mission is to build the intelligence layer at Multiverse that fuels captivating educational experiences, drives effective and continuous digital transformation for enterprises, and empowers Multiverse coaches and operations with tools that scale our teaching capabilities.
You will need to be methodical, analytical, creative and tenacious with very high attention to detail. And while this is a technical role, our team culture is one where everyone is expected to collaborate well and take ownership of both deliverable & stakeholder management.
What you’ll focus on:
Designing, automating, developing and maintaining our infrastructure, pipelines, and development processes that enable greater operational efficiency
Deploying, managing, and optimizing AI solutions in production environments, ensuring smooth integration and efficient operations
Experiment with data science and machine learning techniques to adapt AI solutions for production applications
Creating systems for deployment, CI/CD, testing, and monitoring
Identify and address system integrity and security risks
What we’re looking for:
Required:
5+ years of relevant MLOps experience in a production engineering environment
Strong foundations in software engineering, building ML models, and DevOPs
Deep Experience with Azure, e.g. API management, ML stack or a willingness to up-skill.
Experience coding at production level with Python
Experience with multiple cloud environments, PostgreSQL, GitHub, CircleCI/Jenkins (or similar), CI/CD and Infrastructure as Code (e.g. Terraform)
Experience with model experiment tracking
Commitment to Multiverse’s mission and values
You will most likely thrive and enjoy this role if:
You have a meticulous attention to detail
You are an exceptional communicator (especially cross-functionally), with an ability to translate technical concepts to the appropriate level of detail to the right audience
Take a tenacious, curious, and pragmatic approach to problem solving, with a focus on generating usable and scalable outputs
Enjoy having a lot of ownership to build services, processes, and infrastructure from scratch
Pride yourself in having a growth mindset, being coachable, and learning every day
Role tech stack
Life at
Multiverse
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Culture overview
We’re on a mission to provide equitable access to economic opportunity, for everyone.
We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company's current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential.
We work with over 1,000 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 12,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together.
Join Multiverse and help us set a new course for work.
Employee benefits
30 Days Holiday
Extra seasonal holidays
Flexible Working
Gym Membership
Life Insurance
Private Healthcare
Wellbeing Programme
Work anywhere
Office vibe
City Centre
Clubs & Meetups
Free Coffee
Social Events
Team Building Days
Location
Tech at
Multiverse
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Leadership
Ujjwal Singh
CTO / CPO
Tech overview
It’s an incredible time to join the Engineering team at Multiverse as we build an outstanding alternative to university. You have a real opportunity to shape the team - and the entire company - at a critical stage in our growth.
If you’re looking to solve compelling engineering challenges in a collaborative environment and are motivated by having a significant, genuinely positive impact on people’s lives, then we would love to talk with you.
Our goal is to provide you with encouragement and autonomy to do the best work of your career. We want to create a caring, understanding environment where everyone can thrive.
Engineering principles
Continuous delivery
Continuous integration
Infrastructure as code
Company tech stack
