Grid Dynamics

Senior ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ML Engineer, offering a fully remote contract of unspecified length with a competitive pay rate. Key skills include ML model development for translation, NLP applications, and cloud services. Experience with multilingual search engines is required.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 13, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Scala #AI (Artificial Intelligence) #Cloud #Data Pipeline #AWS (Amazon Web Services) #ML (Machine Learning) #DevOps #API (Application Programming Interface) #Leadership #Consulting #NLP (Natural Language Processing) #Data Engineering #Microservices #CMS (Content Management System) #Elasticsearch #"ETL (Extract #Transform #Load)"
Role description
Join us to contribute to a cutting-edge platform that transforms corporate learning through advanced ML translation and search capabilities! Certainly! Here's a professional job ad including the duties for the Senior ML Engineer role based on the provided information: We are seeking an experienced Senior Machine Learning Engineer to join our client’s innovative team working on an exciting ML/AI-based translation and multilingual search feature for an adaptive learning platform. This fully remote position offers the opportunity to work across the UK, Ireland, Portugal, and Spain, delivering impactful solutions that enhance global learning experiences. Responsibilities β€’ Architect and develop scalable ML/AI services for automatic translation and localization of training content into 16+ languages. β€’ Build and extend ML pipelines for document ingestion, translation, and progress reporting, ensuring efficiency and reliability. β€’ Integrate multilingual capabilities into existing RAG-based search systems, enabling users to search and receive results in their preferred language through semantic and text-based search methods. β€’ Expose ML models and pipelines as APIs/services via API Gateways, event-driven architectures, or other interfaces, including handling large document transfers through pre-signed URLs. β€’ Design and implement robust data pipelines and infrastructure to support multilingual translation and search functionality. β€’ Collaborate with Product Engineering to facilitate seamless data flow and integration between ML services and the platform. β€’ Contribute to UI prototypes to demonstrate new multilingual and translation features within the CMS. β€’ Work closely with cross-functional teams to ensure timely delivery and high-quality implementation within the project timeline. Requirements β€’ Proven experience in developing ML/AI models for translation and NLP applications. β€’ Strong knowledge of ML pipelines, data engineering, and cloud services (e.g., AWS, Bedrock, Elasticsearch). β€’ Experience with deploying ML models as scalable APIs or microservices. β€’ Proficiency in building multilingual search engines and semantic search solutions. β€’ Familiarity with API design, event-driven architecture, and large data handling. β€’ Excellent problem-solving skills and ability to work independently in a remote environment. β€’ Good communication skills and experience working with cross-cultural teams. We offer β€’ Opportunity to work on bleeding-edge projects β€’ Work with a highly motivated and dedicated team β€’ Competitive salary β€’ Flexible schedule β€’ Benefits package - medical insurance, sports β€’ Corporate social events β€’ Professional development opportunities β€’ Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.