Top Machine Learning Jobs in Bristol

As a Senior Software Engineer on the Global Compliance team, you'll develop systems for monitoring and reporting driver compliance, collaborating with team members across firmware, back-end, and mobile technologies.

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.

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.

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.

Manage fraud and financial crime oversight, enhancing risk management, supporting business relationships, and proactive engagement with senior management.

The role involves leading geotechnical projects, mentoring junior engineers, and applying advanced design techniques in various sectors.

Lead the design and development of telematics data products, influence the roadmap, and deliver full-stack features while collaborating with teams to ensure product success.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

The role involves designing and testing AI solutions, managing full research projects, implementing ML applications, and collaborating with cross-functional teams to advance products.

As a Customer Experience Specialist, you'll deliver outstanding customer interaction through multiple channels, assist in debt resolution, negotiate repayment plans, and ensure compliance with laws and regulations.

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

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.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

The Senior Software Engineer will build AI-powered backend systems, create scalable data pipelines, and mentor team members in a new AI Tools and Context team. Responsibilities include developing reusable infrastructure and ensuring code quality in a collaborative environment.

Lead quality assurance efforts for multilingual datasets, ensuring accuracy and cultural relevance while managing QA processes and collaborating with diverse teams.

As a Data & AI Consultant, you will strategize and implement Data & AI solutions to enhance business value, advising clients on governance and capabilities.

The Technical Architect develops cloud infrastructure solutions, translating business needs into technical designs and guiding teams through complex data projects while ensuring adherence to standards.

The Graduate Machine Learning Engineer will develop and optimize AI models, collaborate with teams, and conduct experiments to advance AI technology.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As a Staff Software Engineer, you will build platform infrastructure for real-time data processing, solve optimization problems, and implement APIs and UI designs.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.