Senior Machine Learning, NLP – Contractor

Job not on LinkedIn

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

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.

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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

• Design, train, and deploy state-of-the-art NLP models to complement and scale RavenPack’s high-throughput data architecture • Build integration layers connecting new machine learning predictions with established production systems • Develop automated feedback loops and learning mechanisms for continuous system adaptation and improvement • Transition models from research and evaluation into production • Optimize complex models for strict low-latency inference and high reliability • Establish evaluation benchmarks, automated testing harnesses, and monitoring dashboards • Collaborate with core engineering, data, and technical leadership teams • Introduce modern ML approaches alongside existing infrastructure to create a hybrid architecture

🎯 Requirements

• European legal working status is required • Deep theoretical and practical understanding of core NLP tasks, including entity extraction, text classification, and contextual understanding • Proven experience training, fine-tuning, and deploying modern transformer-based models and encoding methods for complex text tasks • Strong track record optimizing models for low-latency environments, including batch inference, model distillation, and hardware acceleration • Expertise designing ML evaluation frameworks, building gold-standard baseline datasets, and tracking performance metrics • Experience combining probabilistic machine learning models with deterministic or legacy software architectures, including confidence scoring and A/B testing rollouts • Strong coding skills focused on clean, scalable code, technical documentation, and robust CI/CD pipelines for ML models