Top AI Jobs in Manchester

The Machine Learning Engineer will develop AI-driven systems focused on linguistics, enhance translation systems using NLP and GenAI, manage the ML lifecycle, and ensure high-quality translations using linguistic metrics.

Outlier seeks skilled coders to assist in training AI models by crafting questions, evaluating AI-generated code, and offering coding expertise.

The AI Solutions Developer will create AI solutions, collaborate with teams, and leverage Python and AWS technologies for successful implementation.

As a Senior Backend/AI Engineer, you will design and implement AI features, mentor team members, and ensure system reliability. Experience in AI and backend development is required.

The role involves training AI models by crafting and answering computer science questions and evaluating AI-generated code.

Outlier seeks experienced software engineers proficient in coding and fluent in Simplified Chinese to assist with training AI models. Responsibilities include crafting computer science questions and evaluating AI-generated code. This is a flexible, remote freelance role.

The role involves leading a team to develop AI-driven features and machine learning models for marketing automation, collaborating across product, engineering, and data science teams. Responsibilities include software development in Python and Java, optimizing ML models, and maintaining testing practices in a complex environment.

As a Fullstack Developer at Future Works, you will be responsible for building and deploying modern web projects, integrating AI solutions, and working closely with designers on innovative projects. The role requires strong technical proficiency and collaboration skills to deliver exceptional digital experiences.

As an AI Researcher at Leonardo.Ai, you'll develop reusable tools for R&D, focusing on model architecture and data workflows. Responsibilities include optimizing high-performance code, managing data acquisition systems, and collaborating with teams to implement efficient solutions.

As an AI Researcher at Leonardo.Ai, you will develop reusable tools for R&D, implement infrastructure and workflow solutions, manage data acquisition systems, and collaborate with teams to optimize performance. Your role involves high-performance coding, AWS integration, and ensuring efficient data processing practices.

As an AI Engineer, you will develop and optimize Large Language Model solutions for risk digitization in commercial insurance. Your responsibilities include problem-solving, developing domain-specific LLM tasks, evaluating performance, and monitoring production tasks while collaborating with teams to address complex AI challenges.

As an Intern at Autodesk Research's AI Lab, you will apply advanced machine learning techniques in various projects, collaborating with teams to enhance design tools for sustainability and efficiency in design processes.

The Sr. Gen AI Engineer will develop and optimize generative AI applications, collaborate with engineers and architects, and drive architectural improvements for AI solutions in a remote setup. Responsibilities include coding, prompt engineering, and ensuring solutions meet functional and non-functional requirements.

Join PandaDoc as a Senior Python Engineer focused on developing a scalable AI platform. Responsibilities include creating end-to-end systems, optimizing multi-model support for LLMs, collaborating with teams, and addressing real-world AI challenges. The role prioritizes architectural knowledge and product impact for AI solutions.

The AI/ML Specialist Solutions Architect designs AI solutions for clients, resolves technical challenges, and manages scalable AI deployments.

As an Integrations Engineer at OfferFit, you will design and implement modular software components for a machine learning platform, focusing on creating integrations with various marketing platforms. Your responsibilities include optimizing system performance, enhancing integration solutions, and collaborating with stakeholders to translate use cases into features while ensuring reliability and scalability.

The role involves training AI models by crafting computer science questions and evaluating code generated by these models. Candidates are expected to have coding competition experience and strong English communication skills, focusing on detail-oriented work for high-quality outputs.