Machine Learning Engineer

April 6

Apply Now

Receive Emails with Similar Jobs

Multiverse

WebsiteLinkedInAll Job Openings

Unlocking the many possible paths to a successful and fulfilling career

Apprenticeships • Corporate Training • Recruitment • Talent Identification • Technology

501 - 1000

Description

• 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.

Requirements

• 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

Benefits

• TIME OFF - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days • HEALTH & WELLNESS- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support • HYBRID & REMOTE WORK OFFERING - with weekly visits to the London office • TEAM FUN - weekly socials, company wide events and office snacks