Staff Software Engineer

Staff Software Engineer – AI/ML (MLOps)

Engineering | UK Remote / London (hybrid working)

Overview

My client is a fast-growing, product-led technology company investing heavily in AI and machine learning. They are building advanced AI-driven products and are looking for a Staff Engineer to help scale their AI/ML and MLOps capability.

The Role

My client is seeking a Staff Software Engineer with strong experience in MLOps/DevOps and AI infrastructure.

This is a hands-on technical leadership role focused on designing, building, and scaling production-grade machine learning systems. You will work across the full lifecycle, from model development through to deployment and optimisation, while helping define best practices and technical direction.

Key Responsibilities

• Lead the design and delivery of AI/ML systems, including model training, serving, and deployment
• Own end-to-end ML lifecycle (experimentation → production)
• Build and optimise scalable data pipelines and infrastructure
• Collaborate with Engineering, Product, and DevOps teams
• Define and implement MLOps best practices and tooling
• Improve system performance, reliability, and scalability
• Mentor engineers and support technical development across the team
• Ensure high standards in data quality, security, and compliance

Skills & Experience

• Strong experience in AI/ML engineering and MLOps within production environments
• Background in technical leadership or senior engineering roles
• Proficiency in Python (or similar backend languages)
• Experience with ML infrastructure, pipelines, and model deployment
• Knowledge of LLMs and modern AI systems
• Experience working with cloud platforms (AWS, GCP, or Azure)
• Understanding of distributed systems and scalable architectures
• Experience with CI/CD, infrastructure as code, and microservices
• Strong collaboration and communication skills
• Experience working in Agile environments
• Degree in a relevant technical field

Tech Stack (indicative)

• Python, Java or similar
• Cloud platforms (AWS / GCP / Azure)
• Containerisation (Docker, Kubernetes)
• Infrastructure as Code (e.g. Terraform)
• Observability & ML tooling
• Modern LLM frameworks and tooling
• Relational and non-relational databases

Benefits

• Competitive salary
• 25 days’ annual leave + bank holidays
• Sick pay package
• Flexible / remote working
• Enhanced parental leave
• Pension scheme
• Career development opportunities

Additional Information

This role is not eligible for visa sponsorship.