Lynx

AI / Machine Learning Engineer

Lynx · Madrid

Posted 1 day ago

or apply directly on Lynx's site. We never take the application ourselves.

Is this posting real?

This role has been open
1 day
Lynx's roles stay open a median of 19 days
Reposted
No
Salary listed
No
0% of Lynx's roles list one
Ghost-job risk at Lynx
low
1 stale, 0 reposted of 13 open
Hiring momentum
18 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Lynx's own greenhouse board since 2026-08-03. Full hiring picture for Lynx.

About this role

As an AI/Machine Learning Engineer at Lynx Financial Crime Tech S.A., you will develop AI and machine learning solutions aimed at creating advanced models for decision-making and business problem-solving. Your daily tasks will include analyzing requirements, designing AI components, developing and validating machine learning models, and optimizing existing models while adhering to best practices in data science and MLOps.

Our read on this posting3.8out of 5
benefits
4/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lynx as an employer.

What you need

  • +5 years of experience developing machine learning models and AI solutions
  • Double degree in Computer Engineering + Mathematics, with specialization in artificial intelligence (master's or demonstrable experience)
  • Graduates in Data Science
  • Graduates in other engineering, Mathematics, Statistics, Physics or similar fields, complemented with solid programming knowledge
  • Fluent English level, at least B2
  • Knowledge of generative and agent-based AI technologies: LLM, RAG, MCP, multi-agent systems

Nice to have

  • Experience with model packaging and serving tools: API REST, Docker
  • Knowledge and certifications in AWS
  • Knowledge of generative model specialization techniques: SFT, quantization, distillation
  • Experience or familiarity with MLOps practices

What you get

  • Medical insurance
  • Life insurance
  • Access to Wellhub
  • Hybrid and collaborative work model
  • Specialized training and career opportunities in a global tech ecosystem focused on data and AI applied to fraud and AML
  • Restaurant tickets

Worth weighing

  • No salary listed
  • Role involves working with advanced AI technologies in a specialized field
  • Fluent English is preferred but not mandatory

Summarised from Lynx's posting. Read the full original.

Listed by Lynx on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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