Multiverse • Copenhagen

Machine Learning Engineer, Copenhagen

Employment type:  Full time

4 days/week at home

A little flex time

Job Description

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.

As a Machine Learning Engineer, you will design, build and deploy models and algorithms that will power Multiverse’s external customer-facing product features and internal data products. You will leverage our unique data-sets to develop truly differentiated data science, machine learning & artificial intelligence based assets, helping transform Multiverse into a true AI-first company.

This role will be within the Data & Insight team, working closely with Data Scientists, ML Ops Engineers, Data Product Managers, Data Engineers, Insight Analysts. You will also collaborate closely with key stakeholders from our Product, Engineering & other teams across the business - often working in cross-functional squads alongside experts from across other disciplines. You will need to be analytical, creative and collaborative, with a strong understanding of algorithm development and the ability to work within a fast paced team environment.

What you’ll focus on:

  • Building, training & iterating on data science, machine learning & artificial intelligence models.

  • Develop prototypes based on cutting-edge applied machine learning working on video, audio, text, and structured data sources.

  • Own the technical translation of state-of-the-art machine learning innovations to inform the development of new product features.

  • Productionize and operate ML models and pipelines at scale.

  • Design and implement well-defined APIs for new machine learning tools to make them available for customers and across the organization.

  • Design and implement machine learning infrastructure capabilities.

  • Partner with data scientists, engineers, and stakeholders across the organisation to define high-impact solutions and deliver high-quality systems and data pipelines.

  • Reviewing and validating scalable data collection and processing methods.

  • Tracking and understanding emergent trends.

  • Sourcing and leveraging external research/data that strengthen our internal insights.

What we’re looking for:


  • 2+ years of machine learning engineering experience (e.g. writing ML code for production systems)

  • In-depth experience with Python and strong command of data structures and algorithms in order to contribute to production-grade code.

  • Proficiency in engineering best practices (CI/CD, observability, configuration management)

  • In-depth knowledge of one or more of the major machine learning frameworks (e.g., PyTorch or TensorFlow).

  • Ability to manage machine learning research projects and clearly communicate outcomes to technical and non-technical audiences.

  • Working knowledge of PostgreSQL

  • Experience with version control (e.g. GitHub)

  • Experience working within a cloud environment (e.g. AWS)

  • Understanding of AI ethics, data protection and information security

  • Tenacious, curious and pragmatic approach to problem solving, with a focus on generating usable and scalable outputs

  • Meticulous attention to detail

  • A growth mindset and a desire to continuously develop

  • Commitment to Multiverse’s mission and values


  • Experience with MLFlow, Metaflow and/or LangChain

  • Working knowledge of education/skills sector


  • TIME OFF - 25 days holiday, plus bank holidays: 11 bank holidays, 1 life event day, 2 volunteer days and 4 company-wide wellbeing days

  • London based salary

  • €600 equivalent toward private medical per year

Our commitment to Diversity, Equity and Inclusion

We’re 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.


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.

How we hire

Company benefits

Health insurance – cover provided by Bupa
Work from anywhere scheme – work for up to 45 days/year abroad
27 days annual leave + bank holidays
Gym membership
Enhanced sick pay
Volunteer days – 2 days/year
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Pregnancy loss leave
Company shutdown periods
Mental health days
Cycle to work scheme
Faith rooms
Meditation space
Fully stocked snack cupboard
Life insurance
Salary sacrifice
Share options
Lunch and learns
Employee discounts
M-powered days - Company wide wellbeing days where the whole company shuts down once per quarter.
Employees are very happy with their working location freedom
Employees are largely happy with the flexibility in the hours they work
Employees are largely happy with the benefits their company offers
Work-life balance
Employees feel that they can switch off quite easily from work
Role modelling
Employees feel that most people work flexibly
Employees feel they have complete autonomy over getting their work done

Working at Multiverse

Company employees


Gender diversity (male:female)


Office locations

London, New York & Remote

Funding levels


Hiring Countries


United Kingdom

United States

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
EdTech & Education

EdTech & Education

Industry awards 2023
Most flexible companies

Most flexible companies

Flexa100 2023

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