Top AI Jobs in Manchester

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The HPC & AI Sales Specialist is responsible for driving sales strategy, managing accounts, and leveraging expertise to cultivate client relationships and grow sales pipelines within the high-performance computing and AI sectors.

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.

Research novel AI techniques to enhance security in networking systems, analyze vulnerabilities, and collaborate with researchers to improve products.

The AI Developer Technology Engineer will develop advanced techniques in machine learning and optimize performance on GPU architectures, while collaborating with architects and customers.

Lead the architecture of the Wayve Portal platform, ensuring scalability and compliance while collaborating with external teams to deliver robust solutions.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Pre-Sales Architect will lead solution demos, architect technical solutions, drive customer success, and support sales execution in AI Business Solutions.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The AI Fluency Lead role involves designing AI learning experiences, enabling colleagues, collaborating with teams, and tracking AI initiative outcomes to foster an AI-first culture.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

As a Principal Software Engineer, you will design and implement platform capabilities for data processing and AI enablement, mentor other engineers, and guide architectural and operational best practices.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

As a Quality Engineer, you'll leverage AI to ensure pipeline stability, perform root cause analysis, automate processes, and collaborate across teams to enhance quality in data engineering.

Lead technical programs with Cloud Service Providers, integrating tools and processes for AI infrastructure deployment, managing teams, and ensuring project timelines.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

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 Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

As a Staff Agentic AI Engineer, you'll develop advanced AI agents for cybersecurity, lead engineering teams, and enhance AI capabilities across the organization.