Ernst & Young

Global professional services: consulting, assurance, tax

Cloud & Mlops Engineer - Financial Services

Applied Machine LearningUpdated on Nov 14

Full-timeDiegem, Machelen, BelgiumNo salary listed

About the Job

Requirements

The candidate should have 4–8 years of experience in DevOps, MLOps, or platform engineering; Financial Services experience is preferred.
The candidate should have hands-on experience with cloud technologies including AKS, ACR, App Service or Functions, Storage, and Key Vault; Python; Bash; containers; and Kubernetes.
The candidate should have experience with Azure ML and/or Databricks for the machine learning lifecycle, and familiarity with Transformers, PyTorch, and inference optimization.
The candidate should be proficient with CI/CD using Azure DevOps or GitHub Actions, testing automation, and artifact management.
The candidate should have experience with backend and API technologies including .NET Core, GraphQL, FastAPI, and Node.js, as well as front-end technologies including React and JavaScript.
The candidate should have experience with vector databases and large language model toolchains such as LangChain and Semantic Kernel.
The candidate should have infrastructure engineering experience with ARM or Bicep, Azure DevOps, CI/CD, cloud security and IAM, Kubernetes, and networking.
The candidate must be fluent in Dutch or French and have business proficiency in English.

Responsibilities

Build and operate secure, scalable machine-learning and large-language-model platforms on cloud infrastructure, automating environments, packaging, testing, and deployments through CI/CD.
Implement end-to-end MLOps and LLMOps, including data and model versioning, automated training and inference pipelines, evaluation, and model governance through registries, approvals, and rollbacks.
Engineer retrieval-augmented generation pipelines, including data ingestion, chunking, embeddings, indexing, caching, and retrieval optimization for vector stores.
Harden runtime infrastructure using AKS or ACI and infrastructure as code, and implement secrets management, role-based access control, network security, and cost and usage monitoring.
Set up observability across application, data, and model layers; implement service-level objectives, alerting, incident response, and on-call runbooks.
Collaborate with architects, engineers, and security teams to enforce software development lifecycle controls, perform performance tuning and capacity planning, and document operations.
Build and secure APIs for integration with core systems, develop event-driven microservices, and support front-end integration.
Enforce security controls including OAuth2, Zero Trust, and API rate limiting, and establish monitoring dashboards for chatbot performance and infrastructure reliability.

Desired Qualifications

Certifications such as Azure DevOps Engineer Expert, CKA or CKAD, and Azure AI Engineer.
Experience with policy-as-code and compliance tooling such as OPA/Gatekeeper and Azure Policy, and DORA-aligned resilience practices.
Hands-on experience operating platforms in highly regulated Financial Services environments.
A strong Azure infrastructure engineering background, hybrid cloud experience, and cloud migration experience.
Experience with identity and security projects, general security knowledge, and cloud networking.

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

Our AI team, based in Belgium, supports clients across various business sectors, with a focus on Financial Services—including banking, capital markets, insurance, wealth and asset management—helping them embrace AI at scale and achieve tangible results while transforming their approach to the future.

We are currently looking for a talented and motivated Cloud & MLOps Engineer to join our team.

Your key responsibilities

Build and operate secure, scalable ML/LLM platforms on CLoud, automating environments, packaging, testing and deployments via CI/CD (Azure DevOps/GitHub Actions).
Implement end‑to‑end MLOps/LLMOps: data and model versioning (MLflow/DVC), automated training/inference pipelines, evaluation, and model governance (registries, approvals, rollbacks).
Engineer robust RAG pipelines: data ingestion, chunking, embeddings, indexing, caching and retrieval optimization for vector stores (Azure AI Search/Redis/pgvector).
Harden runtime infrastructure (AKS/ACI) with IaC (Terraform/Bicep), secrets management (Key Vault), RBAC, network security and cost/usage monitoring.
Set up observability across app/data/model layers (Application Insights, Prometheus/Grafana), implement SLOs, alerting, incident response and on‑call runbooks.
Collaborate with architects, engineers and security to enforce SDLC controls, perform performance tuning and capacity planning, and document operations.
API Development & Backend Integration: Build and secure APIs for integration with core systems; develop event-driven microservices; support front-end integration.
Security & Monitoring: Enforce robust security (OAuth2, Zero Trust, API rate limiting); establish monitoring dashboards for chatbot performance and infrastructure reliability.

Skills and attributes for success

4–8 years of experience in DevOps/MLOps or platform engineering, preferably in Financial Services.
Hands‑on with Cloud Technologies (AKS, ACR, App Service/Functions, Storage, Key Vault), Python, Bash, containers and Kubernetes.
Experience with Azure ML and/or Databricks for ML lifecycle; familiarity with Transformers, PyTorch and inference optimization.
Proficiency with CI/CD (Azure DevOps or GitHub Actions), testing automation and artifact management.
Experience with Backend & API: .NET Core, GraphQL, FastAPI, Node.js. as well as front end (React, JavaScript…)
Experience with vector databases and LLM toolchains (LangChain, Semantic Kernel).
Proven experience in Infrastructure Engineering: ARM/Bicep, Azure DevOps, CI/CD, general cloud security & IAM, Kubernetes, networking.
Fluent in Dutch or French and a business proficiency in English.

Can we dream for more?

Certifications: Azure DevOps Engineer Expert, CKA/CKAD, Azure AI Engineer.
Policy‑as‑code and compliance tooling (OPA/Gatekeeper, Azure Policy), and DORA‑aligned resilience practices.
Hands‑on experience operating platforms in highly regulated FS environments.
Strong Azure infra engineering background; hybrid cloud; cloud migration.
Experience with identity/security projects; general security knowledge; cloud networking.

What we offer you

You will be part of a leading global professional services firm.
You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
While our client-facing profession might require part-time working at client site and business traveling at times, we are committed to helping you achieve a lifestyle balance.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Boston, MA
Founded: 1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs