EN
DESenior MLOps Engineer
England, South East, Greater London, London
| Posted: | 62d ago |
| Location: | England, South East, Greater London, London |
| Job Ref: | BH-42996 |
| Salary: | £100000 per annum |
| Expiry date: | 4/29/2024 |
Senior MLOps Engineer
FinTech
London - Hybrid
Salary DOE circa £100,000 + bonus + benefits
Join this exciting FinTech as they build out their dedicated MLOps function.
You'll join a cross functional team as a Senior MLOps Engineer with a view to becoming the tech lead of MLOps moving forward, eventually growing the squad to around 4-5 people.
Coming in as a Senior MLOps Engineer we need someone with a strong background across the machine learning lifecyle who has built ML Ops Systems from scratch.
In terms of the technology stack, you'll use Python, Terraform, Kubernetes, MLFlow, Seldon, Prometheus and GCP.
Whilst this is the technology stack they currently have in place we're open minded in the technology experience you bring although Python, Kubernetes and MLFlow will be important.
The key experience we're after is people who have experience in model registry, model serving, and deploying feature stores - if you've worked across these areas we're less concerned about the specific technology used.
If you're a Senior MLOps Engineer interested in joining a very well backed FinTech and playing a key role in building out their MLOps function apply now for a fast turnaround and interviews next week.
FinTech
London - Hybrid
Salary DOE circa £100,000 + bonus + benefits
Join this exciting FinTech as they build out their dedicated MLOps function.
You'll join a cross functional team as a Senior MLOps Engineer with a view to becoming the tech lead of MLOps moving forward, eventually growing the squad to around 4-5 people.
Coming in as a Senior MLOps Engineer we need someone with a strong background across the machine learning lifecyle who has built ML Ops Systems from scratch.
In terms of the technology stack, you'll use Python, Terraform, Kubernetes, MLFlow, Seldon, Prometheus and GCP.
Whilst this is the technology stack they currently have in place we're open minded in the technology experience you bring although Python, Kubernetes and MLFlow will be important.
The key experience we're after is people who have experience in model registry, model serving, and deploying feature stores - if you've worked across these areas we're less concerned about the specific technology used.
If you're a Senior MLOps Engineer interested in joining a very well backed FinTech and playing a key role in building out their MLOps function apply now for a fast turnaround and interviews next week.
Apply now
Contact:
Position:
Manager - UK & Ireland
Sector:
Software Engineering & Development
Contact Email:
Telephone: