Top Machine Learning Jobs in Manchester

As a Senior Software Engineer at Autodesk Research, you will develop ML-driven features, build scalable data pipelines for machine learning applications, and collaborate with a global team on engineering projects while ensuring ethical data usage and compliance.

As a Refining and Petrochemical Process Optimization Engineer, you will leverage machine learning to optimize industrial processes, collaborate with clients, and enhance product usage. You must possess a strong background in chemical engineering and have 3-10 years of industry experience, traveling up to 30%.

Develop and maintain AI and machine learning algorithms, create data pipelines, collaborate with cross-functional teams, and deliver robust product features.

As a Senior Machine Learning Engineer at Smartcat, you will enhance the computer vision capabilities of our Language AI platform. You'll manage data labeling, optimize ML training pipelines, and oversee model deployment and performance monitoring while driving innovation in Image and Video Translation products.

Design and implement MLOps solutions, manage AWS infrastructure, develop CI/CD pipelines, monitor ML models, and collaborate with teams to optimize performance and ensure compliance.

The Machine Learning Researcher will develop a data management system for text-to-speech projects, streamline training processes for models, and explore advanced machine learning strategies in voice technology. The role requires creativity, autonomy, and a strong understanding of audio AI and machine learning principles.

The Senior Solutions Engineer will work with large organizations to implement Stability AI's products in generative AI. Key responsibilities include assessing customer needs, providing technical guidance, delivering proof of concept demonstrations, and collaborating with product teams to enhance offerings based on customer feedback. Strong engagement with senior technical stakeholders is critical.

The Machine Learning Engineer will develop machine learning models and pipelines, research linguistic characteristics, engineer prompts for LLMs, and collaborate with teams to integrate AI/ML features into Smartling's platform, ensuring high-quality features for clients.