Top Machine Learning Jobs in Bristol

As a Software & ML Engineering Manager, you'll lead a team to build systems that analyze telematics data, detect anomalies, and improve operational insights. You'll mentor engineers, define product roadmaps, and collaborate with cross-functional teams to deliver impactful solutions.

Lead a team of SW and ML engineers to develop solutions that analyze telematics data for anomaly detection and incident resolution, ensuring collaboration across multiple teams.

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.

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 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.

Lead the delivery of AI solutions for Business & Commercial Banking, providing technical leadership, mentoring, and driving measurable business outcomes through scalable AI projects.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Account Executive will drive sales and manage client relationships, focusing on revenue generation in mobile app advertising.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

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

The Operations Manager will lead and scale field service teams in Europe, ensuring safe and high-quality installations, managing logistics, and enforcing compliance with safety standards.

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.

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

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 Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

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.

As a Quantum Applications Intern, you will work on quantum algorithms and related techniques, focusing on computational materials science and quantum simulations. You must have a strong academic background in quantum computing, chemistry, physics, or materials science.

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 Applied Machine Learning Engineer, you'll apply advanced analytics and machine learning techniques to optimize rewards programs and develop new initiatives, working in a multidisciplinary team and impacting millions of users.