At a Glance
- Tasks: Build and maintain cutting-edge ML infrastructure and support AI applications.
- Company: Leading global alternative investment manager with a tech-driven approach.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and best practices.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: 4+ years in software or infrastructure, strong Python/Java skills, and MLOps experience.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a leading global alternative investment manager with over $80bn AUM. Technology sits at the core of their investment process, with a long history of building proprietary systematic trading and research platforms. They are seeking a Senior MLOps Engineer to join a growing AI Platform team. You'll be responsible for building and operating the infrastructure, tooling, and services that support ML and LLM applications across the firm, helping move models from research into production at scale.
Key Responsibilities
- Build, deploy, and maintain ML/LLM infrastructure on Kubernetes.
- Develop and support internal APIs, platform services, and data products.
- Productionise AI applications with a focus on scalability, reliability, and observability.
- Improve CI/CD, automation, and deployment workflows for ML systems.
- Partner with engineers, researchers, and business teams to deliver AI solutions.
- Drive best practices across MLOps, platform engineering, and model operations.
Requirements
- 4+ years' experience building and operating production software or infrastructure.
- Strong Python and/or Java development skills.
- Experience deploying and supporting ML or LLM workloads in production.
- Deep knowledge of Kubernetes, containers, and cloud-native systems.
- Background in data engineering, ML infrastructure, or platform engineering.
- Strong communication skills and experience working with technical and non-technical stakeholders.
Machine Learning Engineer employer: Acquire Me
As a leading global alternative investment manager, our client offers an exceptional work environment for Machine Learning Engineers, where technology is at the forefront of their investment strategy. Employees benefit from a collaborative culture that fosters innovation and professional growth, with opportunities to work on cutting-edge AI applications in a dynamic and supportive team. Located in a vibrant city, the firm provides a unique chance to engage with top-tier talent while enjoying a range of employee benefits that enhance work-life balance.
