Top Machine Learning Jobs in Bristol

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.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As a Senior Solution Consultant, you'll drive the design, demonstration, and presentation of Five9's AI Solutions, focusing on customer engagement and contact center operations. Responsibilities include collaborating with sales teams, providing pre-sales support, mentoring junior consultants, and delivering customized demonstrations to exceed customer expectations.

The Lead Data Strategist will work closely with clients to drive Data & AI transformation, focusing on the Lakehouse architecture. Responsibilities include supporting sales opportunities, providing thought leadership, and ensuring customer success by advocating for Databricks solutions. This role requires collaboration with regional leaders and continuous engagement with industry trends to elevate strategic offerings at the CXO level.

As a Staff Machine Learning Engineer at Mozilla, you will lead the development of Generative AI solutions for Firefox. Your responsibilities include designing and integrating these solutions, building infrastructure for model training and inference, and ensuring the reliability of models through robust validation. You'll also collaborate with multiple teams to enhance AI-driven experiences for users.

The Senior ML Engineer will design and engineer innovative projects in Natural Language Processing, focusing on building and optimizing LLM-based solutions and ML/DL systems. Responsibilities include developing pipelines for data and inference, transforming datasets, and ensuring efficient architectures for production deliverables.

The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.

As a Software Engineer on the ML Frameworks team, you will develop and optimize compilers for semiconductor products, benchmark and enhance machine learning applications, and collaborate with engineers to address hardware and software needs.