Top Machine Learning Jobs in Seville

As a Senior Machine Learning Engineer at Smartcat, you will enhance the computer vision capabilities of our Language AI platform. You'll manage data labeling, optimize ML training pipelines, and oversee model deployment and performance monitoring while driving innovation in Image and Video Translation products.

As a Senior Applied Scientist at Fresco, you will develop machine learning models for Connected Cooking and Recipe Generation, ensuring data quality and collaborating with the AI team and stakeholders. You will leverage deep learning frameworks and large language models, applying robust methodologies for product development.

The Senior Machine Learning Engineer will develop and maintain tools and infrastructure to support ML model training, experimentation, and deployment. Responsibilities include optimizing GPU utilization, integrating experiment tracking tools, and collaborating with ML engineers to enhance development workflows.

The Senior Project Manager at Apply Digital is responsible for managing large teams in software development and eCommerce. They will define client requirements, manage project execution, apply agile methodologies, and serve as the primary contact with clients. The ideal candidate has a significant experience in project management, organizational and communication skills, and a strong understanding of the software development lifecycle.

The Data Engineer will design, implement, and optimize data pipeline flows within the ThetaRay system. Responsibilities include maintaining data flows based on designs from data scientists, building machine learning pipelines, creating data tools for analytics, and training customer teams. The role involves collaborating with product and R&D teams and maintaining relationships with customers.

The role involves leading the Financial Crime Squad to develop scalable solutions for mitigating financial crime risks while ensuring regulatory compliance. Responsibilities include roadmap ownership, managing product backlog, vendor relationships, and collaborating with engineering teams to innovate and improve product functionality.

As a Senior Data Scientist at Fever, you will improve pricing optimization by analyzing demand and price elasticity, collaborating with various stakeholders, and leveraging statistical models to enhance decision-making. You'll play a critical role in creating data-driven solutions that impact the company’s strategy and operations.

As a Senior Data Scientist at Fever, you'll leverage your expertise in statistics and machine learning to enhance data-driven decision-making processes. You will work closely with business and engineering teams to develop analytical solutions and improve user experiences. You will also lead projects, mentor team members, and play a significant role in shaping the data science strategy of the organization.

The Senior Data Scientist will enhance decision-making capabilities by working with marketing, product, and engineering teams. Responsibilities include developing marketing attribution and mix models, analyzing optimization experiments, and mentoring team members to drive data-driven solutions for marketing efficiency.

As the Data Project Manager, you will lead data-driven projects from start to finish, collaborating with data scientists and engineers to enhance Fever's loyalty programs and optimize internal processes. You will be the main contact for staff and partners, ensuring clear communication and alignment throughout the project lifecycle.

As a Computer Vision / Machine Learning Engineer, you will enhance Scan-to-CAD automation leveraging a unique dataset of scans and CAD models. Your responsibilities include researching state-of-the-art approaches, developing algorithms, training neural networks, automating internal tooling, and improving ML infrastructure.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, including building infrastructure for LLMs and validating models. This role requires collaboration with product management and engineering teams to ensure models perform efficiently and reliably.

The Solutions Manager will drive customer retention and success, partnering with Account Executives to deliver AI-driven solutions in industrial contexts. Responsibilities include leading project execution, managing technology implementation, understanding customer needs, fostering strong relationships, and collaborating with various teams to ensure customer satisfaction and engagement with Imubit’s technologies.

This role involves managing customer success as a Cement Solutions Manager, focusing on delivering AI-driven optimization solutions. It requires collaborating with clients, executing projects, and maintaining relationships to ensure successful implementation and subscription renewals. The candidate will also support sales efforts and lead project activities while evaluating and adapting AI models based on customer needs.

As a Senior IA/ML Engineer at Plain Concepts, you will be responsible for designing and developing AI solutions, building production-level ML models, and automating deployment and monitoring operations. Your role will involve applying machine learning principles, optimizing models, and working collaboratively within an agile, multidisciplinary team.

The Technical Product Manager at Dataiku is responsible for defining user stories and technical specifications for the Data Science Platform, focusing on generative AI and machine learning. This role involves managing the product backlog, coordinating delivery of features, and collaborating with cross-functional teams, ensuring alignment between market requirements and engineering capabilities.

The Staff/Senior Machine Learning Engineer will lead ML projects, design and implement end-to-end ML solutions, optimize models, and analyze security data within a collaborative team environment, contributing to cybersecurity technologies.