About the job
This role is being recruited for by Vecta, on behalf of one of our partner companies.
Your next step is to
speak to Vecta
Senior MLOps Engineer
Salary:
£95k - £135k
Location:
London (hybrid)
Company Description:
Established FinTech company scaling AI-powered financial systems
Job Description:
You will join as an MLOps Engineer focused on operationalising, deploying, and maintaining machine learning workflows within the company's AI products. The role centres on building and improving infrastructure that supports model deployment, monitoring, and lifecycle management in production environments, working closely with engineering and data teams
The Opportunity:
This is a chance to take ownership of the core machine learning infrastructure at a tech-driven FinTech company where models are a key product component. You'll work in a collaborative environment, translating ML research into stable, scalable systems that serve real users, with scope to shape how MLOps is applied across the business.
What you will do:
* Design, build and maintain scalable model training, evaluation, and serving pipelines to ensure reliable workflows and smooth rollouts.
* Develop and manage platform services and backend APIs primarily using Go for application services and Python for ML components and integrations.
* Run workloads on Kubernetes and manage cloud infrastructures across AWS and Google Cloud while employing Terraform for infrastructure as code.
* Enhance developer experience by creating self-service tools and CI/CD pipelines for models, and producing clear documentation.
* Establish robust observability, monitoring, and alerting for model performance metrics—ensuring reliability and continuous improvement post-incident.
* Collaborate with ML teams to define model lifecycle policies, onboarding processes, and ensure compliance with security standards.
Who will thrive here?:
* Proven experience in MLOps or a related field with a solid grasp of systems engineering and architecture.
* Strong coding skills in Go and Python, with a track record of developing scalable applications and services.
* Hands-on experience with Kubernetes, AWS, Google Cloud, and Terraform, enabling solid infrastructure management.
* Familiarity with machine learning concepts and keen to collaborate with data scientists and ML engineers.
* An automation enthusiast who enjoys improving developer workflows and reducing manual tasks.
* Excellent problem-solving capabilities and the desire to produce impactful, reliable AI features at scale.
Tech Stack
Our client is a rapidly growing fintech company redefining banking experiences with innovative technology, currently scaling their operations to better serve millions of users.
Go. Python. Kubernetes. AWS. Google Cloud. Terraform
Who are Vecta
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Next steps
Step 1.
Apply for this job
here
Step 2.
Talk to Vecta so we can understand your experience and preferences
Step 3.
Vecta will make sure you're considered for this role
Step 4.
If Vecta thinks you're a great fit, you'll be introduced to the client
Step 5.
If not, we'll find you excellent alternatives. All for free
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This is a real, live role that Vecta is currently recruiting for on behalf of a partner company. In some cases, companies ask us to anonymise roles when advertising them publicly. This means we can't always share full company details upfront, but the role itself is genuine and actively hiring.
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