MLOps Engineer
Harnham · London, England ·
London (Hybrid) | £75,000 to £85,000 + Bonus + Benefits
Are you a hands-on MLOps Engineer who enjoys building scalable platforms rather than simply maintaining them? This is a chance to take ownership of the infrastructure behind a growing AI and machine learning environment, helping shape the future of production ML systems while working closely with data scientists and machine learning engineers.
The Company
They are a specialist AI and data consultancy that develops machine learning, predictive analytics and NLP solutions for a diverse client base. As their platform and client demand continue to grow, they are investing heavily in the infrastructure, tooling and processes that support production AI services. You'll join a collaborative technical team where you'll have genuine influence over architectural decisions and platform direction.
The Role
You will play a key role in building and scaling the infrastructure that underpins production AI and machine learning solutions.
Responsibilities include:
- Developing and maintaining scalable MLOps infrastructure
- Owning orchestration platforms such as Dagster, Airflow or Prefect
- Working directly with Python applications and services
- Managing Kubernetes-based production environments
- Improving monitoring, observability and platform reliability
- Implementing infrastructure as code using Terraform or Bicep
- Enhancing CI/CD processes and deployment automation
- Partnering with data scientists and ML engineers to support production workloads
Your Skills & Experience
- Strong commercial experience working in MLOps environments
- Excellent Python software engineering skills
- Hands-on experience with Dagster, Airflow, Prefect or similar orchestration tools
- Experience with monitoring, observability and deployment tooling
- Infrastructure as code expertise, ideally Terraform or Bicep
- Understanding of production machine learning, predictive analytics or NLP systems
- Azure cloud technologies
- LLM infrastructure
What They Offer
- Up to 10% bonus
- Hybrid working with 1 to 2 days per week in the London office
- Private healthcare and additional benefits
- Six-monthly reviews and progression opportunities
- High levels of ownership and technical autonomy
- The opportunity to help build the next generation of AI infrastructure