Top Machine Learning Jobs in Manchester

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Lead the curriculum product strategy and a team of Product Managers, retain hands-on ownership of high-impact products, collaborate with cross-functional teams, and drive AI/data-driven product development and adoption through the full product lifecycle.

The Head of Fraud Operations will design and execute anti-fraud strategies, manage vendor relationships, oversee operations, and reduce fraud losses while ensuring a seamless customer experience.

The Senior AI Engineer will develop intelligent conversational systems, lead ML/NLP product design, and mentor engineers to enhance recruiting efficiencies.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

Responsible for developing sales revenues from existing and new customers, managing the sales process, building customer relationships, and collaborating with internal teams to drive account success in the Banking and Financial Services market.

The Senior Account Executive will lead revenue growth efforts by acquiring new business, nurturing client relationships, and collaborating with teams to ensure customer satisfaction, focusing on revenue management and solution selling.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

Machine Learning Engineers at Gensyn develop scalable ML systems, optimize reinforcement learning pipelines, and collaborate on production projects from theory to implementation.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

Lead the product strategy for Jumio's ID Verification solutions, overseeing product lifecycle, team performance, and collaboration with engineering and marketing, ensuring compliance and customer needs are met.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

Lead architecture and build scalable, reliable event-driven systems for real-time decisioning. Ship production backend code, drive cross-team initiatives, mentor engineers, partner with Product and Data Science, and define success metrics to influence product and business outcomes.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

The Presales Engineer will address financial crime compliance needs by engaging clients, presenting solutions, leading POCs, and enhancing customer relationships.

Lead delivery of AI-powered insights for clients, manage relationships, and drive commercial growth while innovating technical workflows.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Define and execute a greenfield product vision for messaging performance reporting across Email, SMS, and WhatsApp. Build roadmaps that connect reporting, insights, and predictive/ML capabilities; partner with Engineering, UX, and infrastructure teams to deliver scalable analytics, establish success metrics, and drive initiatives from discovery through launch to improve marketers' performance outcomes.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.

As an Account Executive, you'll drive new business growth, manage sales opportunities, understand client needs, and ensure customer satisfaction within the SaaS sector, focusing on enterprise solutions.