Operations Analyst - Machine Learning

Chattermill Analytics Limited
Charing Cross, United Kingdom
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 35K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Data Visualization
Python
Machine Learning
SQL Databases
Unstructured Data
Machine Learning Operations

Job description

You'll be assuring the reliability of our product and translating customer requirements into viable solutions. This means you will:

  • 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, 1. Let's introduce ourselves - you'll complete an introductory asynchronous interview - we'd love to learn more about you, your ambitions, and what you're looking for in your next step.
  1. Get to know your would-be manager - you'll have a call with Mariana, our Associate Director of MLOps, to learn more about the role and show off your experience.
  2. Show us how you work - you'll complete a short take home assignment
  3. Get to know your would-be team - You'll meet with Mariana and Aji, our Chief Scientist, who you'll be working closely with from the Data Science team
  4. How our values and your career goals align - you'll have a call with our cofounder to learn more about life at Chattermill and ensure we're the right place for your next stage of growth.

Our Values

  • We are obsessed with experience - We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.
  • We believe in the power of trust - Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.
  • We act as responsible owners - Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.
  • We share a passion for growth & progress - On every level, we're motivated by taking on new challenges - even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.
  • We set our ambitions high but stay humble - We've come together to build a product and a category that's never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.
  • We believe the right team is the key to success - At Chattermill we've learned that all our important achievements have been the result of the right people collaborating together - that's why we need you to apply today!

Requirements

  • 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

Apply for this position