Senior ML Engineer Search & LLM Ops

RavenPack

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profile Job Location:

Marbella - Spain

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

About us

At RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are launching a new suite of GenAI and SaaS services designed specifically for financial professionals.

Join a Company that is Powering the Future of Finance with AI

RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata our Gen-AI platform tailored for finance which is already being recognized as the #1 platform for powering financial AI agents.

European legal working status is required.

Join RavenPack


RavenPack is looking for an experienced Senior Machine Learning Engineer to join our Search & Recommendation team at our sunny headquarters in Marbella.

Your mission will be to architect and build the next generation of our search and recommendation intelligence. You will take ownership of the full machine learning lifecycle from ideation and data exploration to model deployment. By creating sophisticated scalable and personalized content delivery systems you will directly shape how top financial professionals worldwide discover and interact with the critical information that drives their decisions. This is a unique opportunity to solve complex challenges at the intersection of information retrieval NLP and finance.

The ability to communicate effectively in English both in writing and verbally is a must. European legal working status is required.

What Youll Be Doing

As a key member of the team you will have the autonomy to innovate and the responsibility to deliver robust high-impact solutions.

Own Model Development: Lead the end-to-end design development and deployment of advanced ranking algorithms and retrieval models to deliver highly relevant search results and content.

Innovate in Semantic Search: Fine-tune and distill Language Models to enhance their domain-specific expertise. Youll implement cutting-edge semantic embedding techniques (e.g. binary matryoshka late interaction models) to optimize for speed and accuracy.

Build & Scale Recommender Systems: Architect and implement sophisticated recommender systems that personalize the user experience driving engagement and content discovery.

Collaborate & Mentor: Work closely with product managers software engineers and data scientists to translate business needs into technical solutions.

Stay Ahead of the Curve: Actively research and evaluate emerging trends and academic research in ML NLP and Information Retrieval prototyping new ideas to maintain our competitive edge.

What Were Looking For

We are seeking a seasoned expert with a passion for building intelligent systems and solving complex problems.

A Masters or PhD in Computer Science Machine Learning Data Science or a related quantitative field.

3 years of hands-on professional experience in building and deploying machine learning models in a production environment with a significant focus on Information Retrieval Search or Recommender Systems.

Strong programming skills in Python and familiarity with SQL or other query languages.

Deep knowledge of ML frameworks like PyTorch or TensorFlow and libraries like Scikit-learn and Hugging Face.

Hands-on experience with vector databases.

Analytical Mindset: Exceptional quantitative and problem-solving skills with a proven ability to apply rigorous statistical and mathematical reasoning to complex real-world challenges.

Excellent verbal and written communication skills in English. You are a clear and precise communicator who excels in a collaborative agile team environment.

Bonus Points:

Experience in the financial domain.

Experience with MLOps tools and cloud platforms.

Whats in it for You

  • Growth Opportunity: Join a rapidly growing company with 180 team members with offices in New York Madrid and Marbella building AI that truly matters for business and finance.

  • Competitive Salary: In RavenPack we believe that your time and experience needs to be fairly rewarded.

  • Continuous learning: We provide the support needed to grow within the team.

  • Innovation: Innovation is the key to our success so we encourage you to speak up and tell us about your vision.

  • Hybrid work arrangement: 3 days in the office 2 days remote (post-onboarding).

  • Shuttle bus (Málaga): From Malaga Fuengirola La Riviera and Estepona is available for free from the company.

  • Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion colour national origin gender sexual orientation age marital status veteran status or disability status.



About usAt RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful he...
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Key Skills

  • Keyword Research
  • Web Content
  • CSS
  • URL
  • Link Building
  • Database
  • Semrush
  • Search Results
  • HTML
  • Client Relationships
  • JavaScript
  • Client Websites
  • On Page optimization
  • Technical Reports
  • Analytics

About Company

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RavenPack is a global leader in financial data and intelligence, helping organizations turn vast amounts of unstructured information into decision-ready insight.Since 2003, RavenPack has focused on solving one of finance’s most persistent challenges: data is abundant, but usable data ... View more

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