Top AI Jobs in Manchester

Join Welo Data's talent community to work on flexible, remote AI projects involving annotation, evaluation, and prompt creation. Requires fluency in Afrikaans and English. Perfect for detail-oriented tech enthusiasts.

Join Welo Data's global contributor network to work on AI projects involving annotation, evaluation, and prompt creation, with flexible remote opportunities.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

The AI Enablement Lead will drive AI adoption at Paddle through enablement programs, cross-functional collaboration, governance frameworks, and community building.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

The role involves developing AI-driven solutions to enhance emergency call center efficiency, leveraging data, and collaborating with cross-functional teams.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Senior Solutions Architect & Customer Advisor will lead technical engagements, design cloud architectures, and provide strategic consulting to enterprise clients, particularly in Hybrid Cloud and AI.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

The role involves managing the sales process for AI solutions, targeting opportunities, engaging decision-makers, and ensuring successful adoption post-sale.

The role involves developing AI-assisted geometry processing methods, geometric representations, and integration with ML and graphics workflows, while collaborating with teams and contributing to research.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

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

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.

As an AI Research Scientist/Engineer, you'll develop advanced techniques for language models and agents. Responsibilities include novel fine-tuning methods, creating evaluation frameworks, and enhancing reasoning skills for strategic decision-making benchmarks. The role involves collaborating with leading researchers to drive innovations in open-source AI.