Senior Machine Learning Engineer

Hybrid in Moncloa-Aravaca·Added today

EPAM

75 open roles

Overview

Job details

  • Permanent contract

    Per the ad.

  • Hybrid

    Office and home days — the ad has the split.

Requirements

  • Have the right to work in Spain

    EPAM doesn't mention sponsorship in the ad.

  • Work in English

    English is required, per the ad.

  • Be near Moncloa-Aravaca, Spain (Hybrid) for hybrid days

    No relocation package mentioned.

  • Have 3+ years of experience

    Senior-level role.

The role

We're looking for a Senior ML Engineer to join our team in Madrid, Spain in a hybrid working mode. In this role, you will design, build, and deploy scalable machine learning and AI solutions that power next-generation digital capabilities within a leading global financial institution. You will work across the full lifecycle - from concept and prototyping to production - in an agile and DevOps-oriented environment, collaborating with multi-disciplinary teams to deliver robust, business-critical AI systems.

If you are passionate about Large Language Models, multi-agent workflows, and advanced ML engineering practices, this is an opportunity to shape AI-driven innovation within one of the world's most renowned wealth management organizations.

What you'll do

  • Design, develop, deploy, and optimize machine learning and AI solutions addressing complex business challenges
  • Build and integrate multi-agent systems and enable AI models with function/tool calling capabilities
  • Design and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise data
  • Integrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliability
  • Optimize agentic workflows for production use cases while ensuring safety and accuracy
  • Evaluate and improve system performance using robust metrics, evaluation sets, and continuous iteration
  • Collaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systems
  • Conduct code reviews, unit testing, and debugging to guarantee quality and maintainability
  • Ensure compliance with software development best practices across version control, testing, and documentation

Requirements

What we're looking for

  • Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related field
  • Proven experience as a Machine Learning Engineer or similar role in AI solution development
  • Strong programming skills in Python, experience with ML libraries and deep learning frameworks (TensorFlow or PyTorch)
  • Practical experience implementing and deploying LLMs and related orchestration frameworks
  • Knowledge of agentic workflows, multi-agent systems, and advanced reasoning patterns
  • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
  • Deep familiarity with relevant mathematical and statistical concepts (probability, linear algebra, optimization)
  • Experience implementing MLOps practices and working in DevOps-based environments
  • Excellent problem-solving, debugging, and optimization skills
  • Strong communication and ability to collaborate with cross-functional teams in an agile environment

Nice to have

  • Experience designing RAG systems for enterprise-scale use
  • Prior exposure to AI governance, security, or compliance in financial services
  • Familiarity with cloud infrastructures and containerized ML deployments using Kubernetes
  • Proven track record of enabling AI-driven applications in production environments

Pay & benefits

What you'll get

  • Private health insurance
  • EPAM Employees Stock Purchase Plan
  • 100% paid sick leave
  • Referral Program
  • Professional certification
  • Language courses

Hiring process

3 steps3 interviews
  1. Apply

  2. Conversation with Talent Acquisition

    With a Talent Acquisition Specialist

    An introductory conversation with a Talent Acquisition Specialist.

  3. Technical interview

    Video call

    An online technical interview.

  4. Interview with the hiring manager

    With a hiring manager

    A general interview with the hiring manager.

  5. Offer

  • The block is a template on EPAM location pages; the Spain page itself does not show it.

About EPAM

EPAM Systems is a global leader in digital platform engineering and software development services, headquartered in Newtown, Pennsylvania, USA. The company partners with a wide range of industries, including finance, healthcare, retail, and technology, to deliver innovative solutions in cloud, data, artificial intelligence, and enterprise platforms. With over 60,000 employees worldwide, EPAM is recognized as one of the largest IT services companies in the world, consistently ranked among the top providers in the industry.

In Spain, EPAM has established a significant presence with offices in Madrid and Barcelona, serving as key hubs for its European operations. The company is known for its collaborative and innovative work culture, offering opportunities for international professionals to work on cutting-edge projects with global teams. EPAM's Spain offices are particularly active in areas like SAP, cloud engineering, data engineering, and capital markets, making it an attractive destination for skilled IT professionals looking to relocate to Spain.

Industry
IT Services
Founded
1993
Employees
50,000–100,000
Headquarters
Newtown, USA
In Spain
Madrid, Barcelona
Website
epam.com

Good to know if you are moving

  • EPAM has offices in Madrid and Barcelona, offering opportunities for international professionals to work in Spain.
  • The company provides relocation support for international hires, including visa assistance and onboarding programs.
  • EPAM is known for its strong focus on professional development, with access to extensive training and certification programs.
  • The Spain offices work on global projects, giving employees exposure to diverse industries and technologies.
  • EPAM offers a flexible work environment, including remote and hybrid work options, which can ease the relocation process.
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