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Operations Analyst jobs in United Kingdom

Operations Analyst - Machine Learning

Entrepreneur First

United Kingdom
Remote
GBP 30,000 - 35,000
30+ days ago
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Underwriting Operations Analyst

Convex Group

City of London
On-site
GBP 35,000
30+ days ago

Advertising Operations Analyst

Hybrid News Limited

Bristol
On-site
GBP 30,000 - 40,000
30+ days ago

Graduate Operations Analyst (July 2025 Start Date)

Clearwater Analytics, Ltd

City of Edinburgh
On-site
GBP 30,000 - 40,000
30+ days ago

Investment Operations Analyst

Lane Clark & Peacock LLP.

Winchester
Hybrid
GBP 60,000 - 80,000
30+ days ago
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Business Operations Analyst- Telford

FDM Group Ltd.

Telford
On-site
GBP 30,000 - 50,000
30+ days ago

Principal Risk Operations Analyst

Methodfi

Braintree
Hybrid
GBP 60,000 - 80,000
30+ days ago

Fund Operations Analyst - 12 month FTC

LGT Group

City of London
On-site
GBP 30,000 - 50,000
30+ days ago
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Revenue Operations Analyst

Methodfi

City of London
Hybrid
GBP 40,000 - 60,000
30+ days ago

Underwriting Operations Analyst — Drive Process Excellence

Convex Group

City of London
On-site
GBP 35,000
30+ days ago

Knowledge Management Analyst Operations London

Checkout Ltd

City of London
On-site
GBP 40,000 - 60,000
30+ days ago

Junior Finance Analyst Operations

Startops

City of London
On-site
GBP 30,000 - 40,000
30+ days ago

IT Operations Analyst - L1 Support & Monitoring

Experian plc

Nottingham
On-site
GBP 60,000 - 80,000
30+ days ago

Security Operations Analyst Security Operations Cambridge

Softwerx Ltd

Cambridge
Hybrid
GBP 25,000 - 35,000
30+ days ago

Senior GTM Operations Analyst

CommVault

Reading
Hybrid
GBP 50,000 - 70,000
30 days ago

Hybrid People Operations Analyst - HR Data & Payroll

LGBT Great

City of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

People Operations Analyst

LGBT Great

City of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

People Operations Analyst

Janus Henderson AAA CLO ETF

City of London
Hybrid
GBP 35,000 - 45,000
30+ days ago

Global Operations Analyst - Strategy, Planning & Governance

FDM Group Ltd.

Telford
On-site
GBP 30,000 - 50,000
30+ days ago

Military Operational Analyst

Thales Group

Belfast
On-site
GBP 60,000 - 80,000
30+ days ago

Delegated Operations Analyst

Sompo

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

ML Operations Analyst — Remote Data Quality & Insights

Entrepreneur First

City of London
Hybrid
GBP 30,000 - 35,000
30+ days ago

Fund Operations Analyst - 12-Month FTC, London

LGT Group

City of London
On-site
GBP 30,000 - 50,000
30+ days ago

Revenue Operations Analyst

Itrs Insights

City of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

Network Operations Analyst

Cantor Fitzgerald & Co.

City of London
On-site
GBP 45,000 - 65,000
30+ days ago

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Operations Analyst - Machine Learning
Entrepreneur First
Remote
GBP 30,000 - 35,000
Full time
30+ days ago

Job summary

A dynamic technology company is looking for an Operations Analyst specializing in Machine Learning. This role involves ensuring product reliability and translating customer needs into actionable solutions. The ideal candidate has a passion for data, strong communication skills, and the ability to work independently. The position allows for remote work and offers various perks, including a health budget and flexible working arrangements.

Benefits

Monthly Health & Wellness budget
Annual Learning and Development budget
Work From Home Allowance
25 Holiday Days
Birthday off
Enhanced Family Leave
Optional Healthcare Plan
Life & income protection
Employee Assistance Programme

Qualifications

  • Passion for working with data and uncovering patterns.
  • Experience collaborating with end users and technical teams.
  • Ability to translate complex concepts for non-technical audiences.

Responsibilities

  • Assure the reliability of the product and translate customer requirements.
  • Onboard new clients by analyzing large data sets.
  • Troubleshoot issues in model performance.

Skills

Working with data
Communication skills
Attention to detail
Time management
Technical curiosity

Education

STEM degree

Tools

Python
SQL
Job description
Location

UK

Employment Type

Full time

Location Type

Remote

Department

Data Science Machine Learning Operations

Operations Analyst - Machine Learning

🌍 UK (Remote or Hybrid, it’s up to you!)

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

Our Perks

❤️ 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 - we trust the way you want to work!

🖥️ 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:

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

🧰 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

  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.
  2. 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.
  3. Show us how you work – you'll complete a short take‑home assignment
  4. 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
  5. 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!
🌈 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, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!

#mlops #machinelearningoperations #mloperations #datascience #machinelearning #operationsanalyst #dataoperations #data #analyst #operations

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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