Top Machine Learning Jobs in Bristol

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Senior Complaints Operations Manager will lead strategic initiatives within the complaints department, focusing on regulatory compliance and customer outcomes, while driving continuous improvement and leveraging technology.

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 ensuring the correctness and reliability of numerical libraries, improving tests, debugging issues, and mentoring team members.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

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

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

The role involves designing safety policies for audio AI, building automated systems, and ensuring compliance with global regulations. Duties include collaborating with engineering and operations to integrate safety measures effectively.

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

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

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.

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.

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.

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.

The Head of Fraud Operations will design and execute anti-fraud strategies, manage vendor relationships, oversee operations, and reduce fraud losses while ensuring a seamless customer experience.

As a Cytobank Application Scientist, you'll provide application support, training, and troubleshooting for a cloud-based flow cytometry platform, collaborating with sales and R&D teams.

The Cytobank Application Scientist provides application support for a flow cytometry platform, conducts training, and collaborates with various teams to improve sales and technical support.

The Senior Machine Learning Engineer will develop and maintain the AI platform, focusing on probabilistic machine learning and uncertainty quantification, collaborating with cross-functional teams.

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

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.

As a Lead Product Data Scientist, you'll set the data science direction, lead product experimentation, drive product strategy through metrics, and mentor analysts in a fast-moving environment.

The Machine Learning Engineer will develop ML and GenAI solutions, deploy algorithms in production, mentor teams, and drive data strategy initiatives while fostering a collaborative culture in the data science community.