Machine Learning Engineer

World's largest Student Affinity Network with over 22 million verified members, working with 800 global brands.
$100,000 - $160,000
Machine Learning
Senior Software Engineer
Remote
501 - 1,000 Employees
5+ years of experience
AI · Enterprise SaaS · Education

Description For Machine Learning Engineer

UNiDAYS, the world's largest Student Affinity Network, is seeking a Senior Machine Learning Engineer to take ownership of their ML infrastructure and innovation. This role offers a unique opportunity to lead ML development at a company with global reach, serving over 22 million verified members across 115 markets. The position combines technical leadership with hands-on development, requiring expertise in Python, SQL, and cloud services. As the primary ML expert, you'll work closely with analytics, data engineering, and platform teams to deliver cutting-edge solutions. The role offers flexibility with remote working within the UK, comprehensive benefits, and the chance to shape the organization's data-driven future. The ideal candidate will have 5+ years of experience and strong foundations in machine learning concepts, with the ability to mentor others and drive innovation. UNiDAYS is certified as a Great Place to Work™, recognized for wellbeing and women in the workplace, offering a collaborative, fast-paced environment where you can make a significant impact.

Last updated 33 minutes ago

Responsibilities For Machine Learning Engineer

  • Take full ownership of all existing ML assets
  • Plan and manage delivery of machine learning/data science systems end to end
  • Manage, monitor and maintain machine learning operation databases
  • Work with platform teams to ensure ML infrastructure is set up correctly
  • Produce technical requirements for product teams
  • Deliver MVP solutions to prove hypotheses
  • Support R&D initiatives
  • Act as coach and mentor to the Data & Insight team
  • Monitor and maintain current machine learning systems

Requirements For Machine Learning Engineer

Python
  • 5+ years experience as a data scientist/machine learning engineer
  • Extensive mathematics and computer skills in machine learning concepts
  • Proficient in Python and SQL to production standards
  • Experience with cloud services, ideally AWS
  • Good knowledge of machine learning frameworks like Tensorflow and scikit-learn
  • Experience with big data technology (Redshift, Hadoop, Spark)
  • Bachelor's degree in computer science, mathematics, physics or related field
  • Experience with technically mentoring others
  • Experience working in multidisciplinary teams

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
401k
  • 25 days holiday per year increasing with length of service
  • Competitive salaries
  • 4pm finishes every Friday
  • Company bonus scheme
  • Company pension scheme
  • Private health insurance (Vitality)
  • Income protection policy
  • Life assurance policy
  • Employee Assistance Program
  • Enhanced parental leave pay
  • Core hours with flexibility
  • Regular team building activities
  • Latest tech and hardware provided
  • £150 home office setup allowance

Interested in this job?

Jobs Related To UNiDAYS Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer role at UNiDAYS, leading ML innovation and development with remote work flexibility and comprehensive benefits.

Machine Learning Engineer

Senior Machine Learning Engineer role at UNiDAYS, leading ML innovation and development with remote work flexibility and comprehensive benefits.

Senior AI Engineer

Senior AI Engineer position focusing on developing advanced unmanned ground vehicles using machine learning and autonomous systems.

Machine Learning Engineer

Senior Machine Learning Engineer role at UNiDAYS, leading ML innovation and development with remote work flexibility and comprehensive benefits.

Senior Software Engineer, ML Infrastructure

Senior Software Engineer role focused on building and maintaining ML infrastructure at Airbnb, enabling AI-powered travel experiences.