At a Glance
- Tasks: Build and maintain platforms for cutting-edge machine learning systems.
- Company: Well-funded AI company with a strong focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Tackle complex challenges and make a real impact in the AI space.
- Why this job: Join a small, senior team and shape the future of AI technology.
- Qualifications: Strong backend software engineering skills and experience with ML infrastructure.
The predicted salary is between 80000 - 100000 £ per year.
Well-funded AI company (£100m+ raised). We're working with a fast-growing AI company building large-scale infrastructure that powers the training, deployment, and operation of cutting-edge machine learning systems. They're looking for engineers with strong software engineering fundamentals who have moved into ML infrastructure, platform, or systems engineering roles.
What you'll be doing:
- Building the platforms and services that support ML training and deployment
- Developing tooling for data processing, experimentation, and model lifecycle management
- Improving scalability, reliability, and performance across ML infrastructure
- Building internal platforms used by researchers and applied scientists
- Working closely with ML teams to productionise new capabilities
- Designing and maintaining distributed systems operating at scale
What they're looking for:
- Strong backend software engineering background
- Experience building production systems in Python and at least one systems language (C++, Java, Go etc.)
- Experience supporting ML workloads, training pipelines, or inference systems
- Strong understanding of distributed systems, scalability, and reliability
- Engineers who enjoy building the infrastructure around machine learning rather than developing models themselves
- Experience working closely with ML researchers or applied scientists
- Data and ML platforms
Why it's interesting:
- Work on the engineering backbone behind cutting-edge AI systems
- High ownership within a small, senior team
- Solve complex software and infrastructure challenges at scale
- Strong commercial traction and significant backing
- Opportunity to shape the platform powering future AI products
Senior Machine Learning Engineer employer: Atarus
Join a well-funded AI company that is at the forefront of innovation, where you'll have the opportunity to work on large-scale infrastructure that supports cutting-edge machine learning systems. With a strong emphasis on employee growth and a collaborative work culture, you will be part of a small, senior team that values high ownership and encourages solving complex challenges. Located in a dynamic environment, this role offers significant backing and the chance to shape the future of AI products.
