Top Machine Learning Jobs in Bristol

The role involves testing and validating ML software, benchmarking models, and collaborating on ML frameworks and hardware performance.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As a Graduate Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, collaborating with various teams to enhance AI technology and performance.

The Product Owner will define product requirements, collaborate with stakeholders, guide Agile teams, manage product quality, and contribute to the product vision.

The Graduate Software Engineer will develop high-performance ML kernels, optimize compute for AI hardware, and ensure software quality and functionality through debugging and testing.

The role involves testing AI/ML systems, creating workloads, building CI/CD pipelines, and improving test strategies while collaborating with development teams.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The Cytobank Application Scientist provides application support for a cloud-based flow cytometry platform, conducting trainings, pre-sale and post-sale support, and collaboration with sales and R&D teams.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, scale systems, and collaborate with cross-functional teams.

The Senior Solutions Architect will design and architect digital solutions, manage technical governance, and collaborate with sales and clients to address business challenges.

The AI Data Specialist will perform data-related tasks like data collection, evaluation, and annotation to improve AI-generated content.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Senior Product Manager, you will analyze complex datasets in life sciences, translating insights into actionable strategies, collaborating with teams, and applying data science techniques to enhance product offerings.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

The role involves leading the Quality Assurance function, driving efficiencies and enhancements in operations, and managing a team to optimize processes and improve customer outcomes.

As a Data Scientist at Wave, you'll lead high-impact projects, improve user rewards, design experiments, analyze user behavior, and implement machine learning solutions.

As a Machine Learning Engineer, you'll develop production-ready data solutions, enhance financial data, optimize algorithms, and collaborate with product teams to deliver robust code.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

The Machine Learning Engineer will design and implement models to analyze user behavior and improve algorithm performance, collaborating with engineering teams and business stakeholders.

As an Executive Partner, you'll mentor CTOs in I&O, manage a portfolio of clients, deliver workshops, and support sales efforts, requiring extensive executive experience.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.