MLOps / Cloud Deployment Engineer
Our Client's Digital Finance IT is scaling AI and agentic systems in production. We need an MLOps / Cloud Deployment Engineer to own the deployment, reliability, observability, and operational scale of these systems in a regulated enterprise environment.
This is a cloud and platform engineering role with deep MLOps/LLMOps focus, not a model-building role. You will operate the runway that ML and GenAI systems run on, not build the models themselves.
What You'll Do
- Own CI/CD pipelines for ML models, RAG applications, and agentic AI systems — from experiment to production
- Deploy and operate AI workloads on cloud-native ML/AI platforms — AWS Bedrock/SageMaker, Azure AI Foundry / Azure Machine Learning, or equivalent
- Build and maintain observability, tracing, and monitoring for LLM and agentic systems — latency, cost, hallucination rates, tool-call success, drift detection
- Implement model governance and guardrails — approval gates, kill-switches, escalation paths, audit trails
- Manage infrastructure-as-code (Terraform, Bicep, or equivalent) for reproducible AI/ML environments
- Design cost and performance optimization strategies — token usage tracking, caching, model routing, autoscaling, warehouse/cluster right-sizing
- Own security posture — RBAC, secret management (Key Vault / Secrets Manager), prompt-injection risk mitigation, auditability for regulated pharma
- Partner with data engineers, AI engineers, and Finance business stakeholders to move systems from prototype to reliable production
- Implement evaluation frameworks for AI systems in production — regression testing, adversarial testing, accuracy tracking, hallucination monitoring
Must-Have Experience
- 5+ years in cloud/DevOps/MLOps engineering on AWS, Azure, or GCP
- Production deployment of ML or GenAI systems — CI/CD, containerization (Docker/Kubernetes), infrastructure-as-code (Terraform)
- MLOps tooling — MLflow, SageMaker Pipelines, Azure ML Pipelines, or equivalent
- LLM/GenAI operational experience — observability tools (LangSmith, Weights & Biases, or equivalent), cost monitoring, latency optimization, prompt/model versioning
- Cloud-native AI platforms — hands-on with at least one of: AWS Bedrock, SageMaker, Azure AI Foundry, Azure OpenAI, Vertex AI
- Python, Bash, and infrastructure scripting — strong
- Security and governance in regulated environments — RBAC, secrets, audit, compliance
Nice to Have
- Pharma, life sciences, or regulated financial services domain
- Experience operating agentic AI systems in production — multi-agent orchestration, tool-calling, human-in-the-loop workflows
- LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel operational experience
- Kubernetes-native ML platforms (Kubeflow, Ray)
- Snowflake or Databricks operational experience (compute governance, cost management)
- Certifications: AWS/Azure ML Engineer, Kubernetes CKA/CKAD, Terraform Associate
What We're NOT Looking For
- Data Scientists or research engineers — this is a production platform role
- Application developers with light DevOps exposure — need real MLOps/cloud engineering depth
- Pure infra engineers with no AI/ML operational experience — need to understand what makes LLM systems different (evals, hallucinations, prompt versioning, RAG grounding)
Similar roles
Senior Endpoint Engineer
Wave·London, United Kingdom
OUR MISSION We're making Africa the first cashless continent. In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely…
- On-site
- Full-time
Director of Data (m/f/d)
Moonfare·London, Canada
<p><strong>Director of Data (m/f/d)</strong></p> <p>Reporting to the CTO, you will own the data strategy and execution for Moonfare at a pivotal moment in our growth. We are building the infrastructure and intelligence layer that will power how we serve investors, operate as a business, and scale into new markets, and data is the foundation everything else depends on. You will…
- On-site
- Full-time
- Express Entry — PR day one, no employer
Senior Engineer (w/m/d) - Logistikplanung und Automatisierung
Miebach Consulting GmbH·Frankfurt am Main, Germany
Bei Miebach Consulting erwarten dich anspruchsvolle Aufgaben entlang der gesamten Supply Chain. Von Anfang an übernimmst du Verantwortung in spannenden Beratungsprojekten, unterstützt durch ein fundiertes, individuelles Trainingsprogramm. Du arbeitest analytisch und lösungsorientiert an komplexen Fragestellungen und entwickelst gemeinsam mit deinem Team innovative Lösungen für unsere Kunden. In einem dynamisch wachsenden Umfeld entwickelst du dich fachlich und persönlich weiter und findest…
- On-site
- Full-time
- Blue Card — tied; settle 21–33mo
Principal Product Services Engineer, Advanced Services - UK
Purestorage·London, Canada
<div class="content-intro"><p>We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.</p> <p>This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and…
- On-site
- Full-time
- Express Entry — PR day one, no employer
Solutions Architect - MENA
Deepgram·Worldwide
COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native…
- On-site
- Full-time
Senior IT Engineer, MDM Tech (f/m/x)
hellofresh·Berlin, Germany
<h2><strong>The role</strong></h2> <p>We are looking for a <strong>Senior IT Engineer</strong> to join the <strong>Mobile Device Management (MDM) Tribe at HelloFresh</strong>. As a senior individual contributor, you will play a key role in designing, optimizing, and evolving our endpoint management environment across <strong>macOS, Windows, and mobile platforms</strong>.</p> <p>You will bring deep expertise in <strong>Microsoft Intune, Jamf Pro</strong> combined with a strong…
- On-site
- Full-time
- Blue Card — tied; settle 21–33mo
Ads Solutions Engineer, gTech Agency and Partner Engineering
Google·Singapore, Singapore
info_outlineXGoogle will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Minimum qualifications: * Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). * 6 years of experience…
- Full-time
- Tech.Pass — self-sponsored, 2-yr
Quantum Design Engineer
QpiAI·India, Gambia
Title: Quantum Design Engineer About QpiAI At QpiAI, we are leading the effort to discover optimal AI and Quantum systems in Life sciences, Healthcare, Transportation, Finance, Industrial, and Space technologies. QpiAI is building a full-stack Enterprise Quantum Computers. QpiAI Quantum hardware team is responsible for designing and characterisation of Quantum Processor, Cryogenic Quantum Control Circuits, RF Control Hardware, and QpiAI…
- Full-time
