MLOps Engineer (AI Machine Learning Operations) London to £95k

Are you a technologist with a strong interest in AI and Machine Learning?

You could be progressing your career at a well funded, early stage tech start-up that is using Computer Vision, AI and Machine Learning to create a unique product for major retailers to be able to see how their products are displayed in store and how customers interact with them.

The company is already experiencing success and needs to scale. As the first MLOps Engineer hire you will be instrumental in setting up and establishing processes and systems and consolidating cloud based services to AWS to support data intensive applications and Machine Learning workflows.

You'll collaborate with cross functional teams to optimise system performance, troubleshoot issues and ensure high availability, in an impactful role which you can shape.

Location / WFH:

You'll join the team in London 2-3 days a week in a hybrid work from home model.

About you:

• You have experience with Machine Learning Operations MLOps
• You have a good knowledge of DevOps / SRE role with a focus on cloud infrastructure and automation
• You have a strong knowledge of cloud technologies (AWS preferred), experience with IaC tools (Terraform, CloudFormation) and Containerisation (Docker, Kubernetes)
• You have an interest and knowledge in Machine Learning concepts and frameworks (e.g. PyTorch, TensorFlow)
• You have strong analysis and problem solving skills

What's in it for you:

• Salary to £95k
• Hybrid work from home with flexible working hours
• Equity options
• 26 days holiday
• Private Healthcare including mental health, dental, optical
• Pension plan
• Plus other perks such as Cyle to Work scheme

Apply now to find out more about this MLOps Engineer (AI Machine Learning Operations) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.