Remote Data Jobs • Europe

Seeking an experienced Data Engineer to assist with the migration of our Energy Portfolio data from a legacy application to Gentrack Junifer. This contract role involves designing and building scalable data pipelines, data modeling, and collaborating with stakeholders to build analytics solutions. The role delivers progress by improving data and reducing complexity.

Work with global clients to make technology more inclusive through language. Join to explore opportunities in annotation, evaluation, and prompt creation — all remote, flexible, and impactful.

Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources to extract valuable insights. Own end-to-end data analytics processes including extraction, processing, analysis, reporting, modeling, deployment, and visualization. Apply predictive analytics, machine learning, and AI techniques to create innovative solutions that drive business value.

We’re looking for a Senior Applied Researcher to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You’ll drive game-changing initiatives that use cutting-edge computer vision and deep learning from cameras and wearable trackers at scale to shape the future of sports, from professional teams to local high schools.

Create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform. Assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. Leverage expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation.

This role is ideal for someone who thrives at the intersection of data management and business intelligence, helping organizations build reliable, traceable, and governed data pipelines that support impactful analytics. You'll help lay the groundwork for scalable, enterprise-wide reporting by partnering with data owners, stewards, and business users. You'll focus on the foundational work required before visualization —ensuring clarity, consistency, and trust in the data.

Research, prototype, and productionize generative AI models. Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content. Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs. Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning.

Work on embedding latent representations of entities across our platform, specifically embedding entities to understand user behavior across multi-touch fragmented journeys in a continuous cold start setting. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.

As a Data Engineer, you’ll work across the entire stack and help shape the future architecture of our complex data systems. You’ll collaborate closely with Web and Data Science teams to deliver user-centric solutions—while using modern tools, including Gen AI assistants, to accelerate development, improve quality, and amplify team velocity. The role involves writing code, solving hard problems, and staying ahead of emerging tech.

We're looking for native Russian speakers to take part in a two-phase language data project that supports the advancement of speech recognition technologies. Phase 1 involves evaluating and labeling Russian audio recordings based on guidelines. Phase 2 involves transcribing and correcting audio. The role requires native proficiency in Russian, comfort with audio review and transcription, and a commitment of 3 hours per day, while working remotely with flexible hours.