Operations Analyst - Machine Learning in London

Join to apply for the Operations Analyst - Machine Learning role at Chattermill. UK (Remote or Hybrid, it's up to you!)

Salary: £30,000 - £35,000 base pa (dependent on experience)

Benefits:

• Monthly Health & Wellness budget, increasing with length of service
• Annual Learning and Development budget, increasing with length of service
• Flexible working in a choice‐first environment
• Work From Home Allowance
• 25 Holiday Days + your local bank holidays, plus an extra day for every year of service
• Your birthday off
• Enhanced Family Leave, Fertility Leave, and Neonatal Leave
• Optional Healthcare Plan
• Life & income protection (Location dependent)
• Employee Assistance Programme
• The opportunity to share in the company's success through options
• If you’re in London, a dog‐friendly office with great classes, events, and a rooftop terrace

The Role:

Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best‐in‐class tech in a fast‐developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.

We’re now looking for a talented Operations Analyst - Machine Learning to join the team!

What You’ll Be Doing:

• Onboard new clients to the Chattermill platform by analysing large, unstructured data sets and creating robust data taxonomies that form the foundation for our machine learning models
• Provide client support by troubleshooting issues that arise in model performance (such as data shifts) that may require alterations to data taxonomies or models
• Develop and share best practices for working with data and improving data quality across the organisation
• Optimise and implement solutions that help streamline internal processes and drive scalability
• Contribute to research and development in collaboration with our Data Science and Product Teams

What You’ll Need:

• A passion for working with data and uncovering patterns in unstructured information
• Experience collaborating with end users as well as both technical and commercial teams
• Excellent communication skills and confidence in participating in client‐facing calls
• A strong eye for detail — you notice the nuances that build client trust
• The ability to work independently while managing multiple priorities effectively
• Reliability, time management, and organisational skills
• Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology
• The ability to translate complex technical concepts for non‐technical audiences (and vice versa!)

It Would Be a Bonus If You:

• Have experience working with Python and SQL
• Have experience working with both qualitative and quantitative data, for example from a STEM degree

Our Hiring Process:

• Let’s introduce ourselves – you’ll complete an introductory asynchronous interview
• Get to know your would‐be manager – you’ll have a call with Mariana, our Associate Director of MLOps
• Show us how you work – you’ll complete a short take‐home assignment
• Get to know your would‐be team – You’ll meet with Mariana and Aji, our Chief Scientist
• How our values and your career goals align – you’ll have a call with our cofounder

Our Values:

• We are obsessed with experience
• We believe in the power of trust
• We act as responsible owners
• We share a passion for growth & progress
• We set our ambitions high but stay humble
• We believe the right team is the key to success

Diversity & Inclusion:

We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us.