SmartEdge, Lda
MLOps Engineer

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MLOps Engineer
The MLOps Engineer will play a critical role in enabling seamless software delivery, infrastructure automation, and platform reliability across globally distributed environments. The role requires strong engineering discipline, hands-on expertise across cloud, Kubernetes, and CI/CD tooling, and a proactive approach to improving developer experience and operational resilience.
Key Responsibilities
- Design, implement, and maintain robust CI/CD pipelines to support global development teams, ensuring consistent, reliable, and secure software delivery across environments.
- Manage and optimise source control and artefact management solutions including Git, Artifactory, Jenkins, and Docker registry to enable efficient build and deployment workflows.
- Deploy, manage, and scale Kubernetes-based platforms using Terraform Enterprise, ensuring infrastructure is defined, version-controlled, and reusable through modular design.
- Develop and maintain reusable Terraform modules to standardise infrastructure provisioning and enforce consistent patterns across projects.
- Implement infrastructure as code practices to orchestrate cloud resources, reduce manual intervention, and improve deployment repeatability and traceability.
- Work extensively with GCP IAM to design and maintain secure access control mechanisms aligned with organisational standards and compliance requirements.
- Build and maintain Helm charts to enable consistent packaging and deployment of microservices into Kubernetes environments.
- Support microservices-based architectures by deploying, monitoring, and troubleshooting applications across distributed systems.
- Implement and manage service mesh capabilities using Istio to enhance traffic management, security, and observability across services.
- Collaborate closely with engineers, architects, and product teams within the IDEA Lab to enable rapid experimentation, innovation, and production readiness.
- Ensure platform reliability through monitoring, logging, and proactive issue resolution across cloud and container environments.
- Contribute to continuous improvement of DevOps practices, tooling, and standards within the IDEA Lab and broader BTB platform.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills and Experience
- Strong understanding of CI/CD pipelines in a globally distributed environment using Git, Artifactory, Jenkins, and Docker registry.
- Experience working with GCP IAM to manage roles, permissions, and secure access to cloud resources.
- Hands-on knowledge of Helm charts for packaging and deploying applications in Kubernetes.
- Hands-on experience deploying and managing Kubernetes infrastructure using Terraform Enterprise, including the ability to write reusable Terraform modules.
- Experience implementing infrastructure as code and orchestrating cloud infrastructure in scalable, automated ways.
- Knowledge of core GCP services and how they integrate within modern cloud architectures.
- Working knowledge of Istio or similar service mesh technologies.
- Experience deploying and troubleshooting microservices in distributed environments.
- Hands-on experience with Kubernetes and Docker for containerised ML workloads.
- Experience using Terraform and Helm to manage ML infrastructure and deployment pipelines.
- Experience designing and managing CI/CD pipelines using tools such as Harness for model build, test, and deployment workflows.


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Desirable Skills
- Experience in financial services or regulated environments.
- Familiarity with security patterns such as mTLS, JWT, and zero-trust networking.
- Exposure to observability tools such as Prometheus, Grafana, or similar.
- Understanding of DevSecOps principles and secure software delivery pipelines.
What Success Looks Like
- Consistent, reliable, and automated deployment pipelines supporting multiple teams and environments.
- Highly reusable and standardised infrastructure patterns across IDEA Lab projects.
- Improved developer productivity through streamlined DevOps tooling and processes.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London