Staff Software Engineer

Job description

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.

Extra information

Status

Open

Education Level

Secondary School

Location

United Kingdom

Type of Contract

Full Time Jobs

Published at

02-04-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English