Machine Learning / AI Engineer We are looking for a

Machine Learning / AI Engineer , working close to one of our main clients in the banking sector.

Responsibilities

Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges

Create multi-agent systems and equip AI models with function/tool‑calling capabilities

Design and implement RAG systems to ground AI responses in enterprise data

Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability

Optimize agentic workflows and AI agents for production use cases

Testing and optimizing system prompts and few‑shot example to ensure accurate, consistent, and safe AI outputs

Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them

Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes

Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Qualifications

Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch

Proven experience working with Large Language Models (LLMs)

Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns

Experience with data preprocessing, feature engineering, and model selection and evaluation techniques





Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization

Understanding software development best practices, including version control, testing, and documentation

Excellent problem‑solving and debugging skills, with the ability to identify and resolve issues quickly and effectively

Relevant work experience in machine learning, data science or a related field

Good English level (C1) you will be working with international teams

Work Location Hybrid. Madrid city center (Sol area). 3 days a week in the office + 2 days remote.

Work schedule Business Hours. No intensive working days for Friday or summer.

Benefits

23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).

Retribución Adaptable Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…)

Free access to several training platforms

Professional stability and career plans

UST also, compensates referrals from which you could benefit when you refer professionals.

The option to pick between 12 or 14 payments along the year.

Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)

UST Club Platform discounts and gym Access discounts

Equal Opportunity In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

Skills machine learning, python, rag architecture, pytorch,

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📌 Machine Learning / AI Engineer (Hybrid Madrid)
🏢 Talent
📍 Madrid