Top Machine Learning Jobs in Manchester

As a Full-Stack Product Engineer, you will design and implement user and developer tools, collaborate with teams, and improve AI-powered development tools.

As a Senior Software Engineer, you will develop scalable data pipelines, process large datasets, and collaborate on ML-powered product features with a global team.

Lead the technical work on machine learning models for improving financial health, deploying them in production while collaborating across teams.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

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.

Join the ElevenLabs research team as a Machine Learning Researcher, focusing on creating data management systems and developing text-to-speech models, while exploring innovative machine learning approaches.

The AI Engineer will develop and deploy LLM services for a SaaS platform, optimizing risk assessment and improving customer workflows in the insurance industry.

The Senior Solutions Engineer will engage with clients to provide AI solutions, conduct technical demonstrations, and collaborate with product teams to meet customer needs.

Lead Data Strategist will engage with customers, driving Data & AI transformation, developing technical assets, and strengthening relationships with C-suite leaders.

As a Staff Machine Learning Engineer at Mozilla, you will lead the integration of Generative AI solutions in Firefox, develop infrastructure for model training, and optimize deployed models while mentoring junior engineers.

The Senior ML Engineer will design and optimize ML/DL solutions for unstructured content understanding and AI deployments, focusing on innovation and efficient architectures.

The Senior Consultant will architect and manage Genesys AI and digital customer experience implementations, perform risk assessments, and travel internationally up to 30%.

As an ML Ops Engineer at Matillion, you will develop scalable ML workflows, deploy AI systems, optimize performance, and collaborate with teams to enhance AI features.

The Machine Learning Engineer will develop and maintain data science infrastructures, automate data workflows, and collaborate with scientists to enhance analytics delivery.

Support the development and deployment of AI solutions, gain exposure to machine learning and natural language processing, and collaborate on AI capabilities integration.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.