Top Machine Learning Jobs in Manchester
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
The role involves leading the design and integration of Generative AI solutions in Firefox, building infrastructure for training and validating models, and optimizing deployed models for efficiency. The engineer will also collaborate with different teams to ensure the contributions effectively enhance the browser's capabilities.
The Senior ML Engineer will design and engineer innovative projects focused on Natural Language Processing, Data Capturing, Content Understanding, and Information Retrieval. The role involves optimizing LLM-based solutions and deep learning pipelines while ensuring efficient architectures and delivering AI/ML solutions into production.
As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.
The Solution Consultant will work with Sales, Product, and Client Engagement teams to drive growth by delivering tailored product demonstrations and technical solutions. Responsibilities include providing product demos, customizing solutions for clients, supporting RFPs, and assisting with implementation.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.
The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.
The Solutions Consultant serves as a technical advisor for clients, aiding in pre-sales processes by mapping business needs to technical solutions, conducting workshops, and driving product demonstrations to educate prospects on the Indico Intelligent Intake platform.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.
Join Contrast Security as an ML Developer to design, develop, and deploy ML models for cybersecurity. Collaborate with teams to integrate and improve models, develop the AI/ML platform, and mentor team members. Stay updated on ML trends and technologies.
The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.
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