Top Machine Learning Jobs in Manchester

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As a Senior Software Engineer on the Global Compliance team, you'll develop systems for monitoring and reporting driver compliance, collaborating with team members across firmware, back-end, and mobile technologies.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

This is a graduate program offering engineering training, mentorship, and hands-on experience on various projects across disciplines, aimed at career development in engineering.

This is a 3-year graduate engineering program for fresh graduates to work on diverse projects while receiving mentorship and support.

The Senior Account Manager will engage AI startups, building partnerships and driving demand for NVIDIA's AI solutions while leading cross-functional teams and developing market strategies.

Lead the Machine Learning strategy and Data Operations for UK Insurance, overseeing the ML lifecycle and data governance, while managing teams and collaborating with stakeholders.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

The Staff Product Manager leads product strategy and development while collaborating with clients and various teams to enhance customer value through continuous delivery and agile principles.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

Manage and develop products and services, drive product strategy, ensure compliance, and leverage AI and technology for performance optimization.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

The Senior Director Analyst will conduct research and analysis in data management, focusing on trends, best practices, and emerging technologies, while supporting sales and client engagement.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

As an Executive Partner, you'll mentor CTOs in I&O, manage a portfolio of clients, deliver workshops, and support sales efforts, requiring extensive executive experience.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

As an Account Executive, you will drive sales in the public sector by building relationships, meeting sales quotas, and providing insights on customer needs.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

The Hair Appearance and Array Scientist will develop and apply methodologies for hair appearance measurement while leading global technical teams to enhance product performance.

The Senior Developer Relations Manager will engage developer ecosystems, drive adoption of NVIDIA technologies, and collaborate across functions to enhance developer programs and solutions.

Evaluate AI-user conversations by assessing user sentiment and determining if the AI met emotional expectations, providing concise evaluations.