Senior ML Ops Engineer

Intuition Machines; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Flexible working hours

Inspiring global team

Modern development workflows

High impact work

Flat organization

Job summary

A tech company specializing in AI/ML is looking for a Senior ML Data Engineer to expand and maintain data pipelines essential for their security products. The role involves collaboration with ML, frontend, and backend teams, focusing on high-performance data management. Candidates should have at least 3 years of data engineering experience, proficiency in Python, and familiarity with cloud providers like AWS. The position is fully remote, offering flexibility and the chance to impact millions of users.

Qualifications

• Minimum of 3 years experience in data roles and building reliable data pipelines.
• At least 2 years of experience in a software development role.
• Proficiency in Python and experience with Kafka and distributed systems.

Responsibilities

• Maintain and improve existing data workflows.
• Provide systems for ML engineers to build datasets on demand.
• Collaborate with teams to build our data platform.

Skills

Data engineering

Software development

Python

Kafka infrastructure

SQL and NoSQL

CI/CD

Kubernetes

Machine learning fundamentals

Tools

Clickhouse

AWS

Azure

Job description

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.

As a Senior ML Data Engineer, you will help shape and expand the pipelines that power our products and research efforts. You'll work across teams to design, maintain, and improve high-performance data pipelines, ensuring that data is accessible, reliable, and scalable to meet the needs of our users and internal stakeholders.

What will you do

• Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data
• Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand
• Influence data storage and processing strategies
• Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform
• Reduce time-to-deployment for dashboards and ML models
• Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets
• Work with large datasets under performance constraints comparable to those at the largest companies
• Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users

What we are looking for

• Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads
• At least 2 years of professional software development experience in a role other than data engineering
• Proficiency in Python and experience working with Kafka infrastructure and distributed data systems
• Deep understanding of SQL and NoSQL databases (preferably Clickhouse)
• Familiarity with public cloud providers (AWS or Azure)
• Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design
• Proven ability to make independent decisions regarding data processing strategy and architecture
• Thoughtful, self-directed individual who is able to operate effectively in a fast-paced environment

Nice to Have

• Experience collaborating across ML, backend, and frontend teams
• Understanding of machine learning fundamentals, including model training, inference, and frameworks such as PyTorch or TensorFlow

What we offer

• Fully remote position with flexible working hours
• An inspiring team of colleagues spread all over the world
• Pleasant, modern development and deployment workflows: ship early, ship often
• High impact: lots of users, happy customers, high growth, and cutting-edge R&D
• Flat organization, direct interaction with customer teams

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.

Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.