Senior ML Engineer – Search, LLM Ops

🕒 August 7

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

RavenPack

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

RavenPack is a leading provider of technology and insights for data-driven organizations. Specializing in transforming unstructured data into actionable insights, RavenPack serves clients in the financial sector, including hedge funds, banks, and asset managers. The company offers a suite of solutions such as alpha generation, risk and compliance tools, and research products that enable quick extraction of valuable information from large datasets. RavenPack's offerings include news analytics, job analytics, regulatory filings, and sentiment indicators, catering to different levels of financial analysis, from company-level to macroeconomic indicators.

📋 Description

• Architect and build the next generation of search and recommendation intelligence • Own the full machine learning lifecycle, from ideation and data exploration to model deployment • Lead the end-to-end design, development, and deployment of ranking algorithms and retrieval models • Fine-tune and distill language models for domain-specific semantic search • Implement semantic embedding techniques, including binary, matryoshka, and late interaction models • Architect and implement recommender systems that personalize user experience and drive engagement and content discovery • Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions • Research and evaluate emerging trends and academic research in machine learning, NLP, and information retrieval • Prototype new ideas to maintain the company’s competitive edge

🎯 Requirements

• Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field • 3+ years of hands-on professional experience building and deploying machine learning models in production, focused on Information Retrieval, Search, or Recommender Systems • Strong programming skills in Python • Familiarity with SQL or other query languages • Deep knowledge of PyTorch or TensorFlow • Experience with Scikit-learn and Hugging Face • Hands-on experience with vector databases • Exceptional quantitative and problem-solving skills • Rigorous statistical and mathematical reasoning applied to complex real-world challenges • Excellent verbal and written communication skills in English • Ability to communicate effectively in English in writing and verbally • European legal working status required • Bonus: experience in the financial domain • Bonus: experience with MLOps tools and cloud platforms

🏖️ Benefits

• Continuous learning: support needed to grow within the team • International environment with over 29 nationalities and 24 languages spoken • Equal opportunity employer valuing diversity