Top Machine Learning Jobs in Bristol

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

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.

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.

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

Assist in developing high-performance ML kernels, optimizing compute performance, implementing tests, debugging issues, and collaborating on solutions.

Assess run and change controls across applications, infrastructure, cloud, cyber and data. Design and test key controls, deliver audit outcomes using data and AI, perform analytics, build stakeholder relationships, and recommend compliance and process improvements.

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

You will analyze and enhance AI models related to Eastern European events, annotate data feeds, and work on improving real-time data tooling.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Customer Success Manager will lead client onboarding, manage budgets, identify new business opportunities, and build client relationships to drive growth and retention.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

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.

As an Account Executive, you'll drive revenue growth by prospecting new business, managing client relationships, and ensuring customer satisfaction while leveraging AI in sales strategies.

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

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

The NLP Specialist analyzes and improves NLP model behavior, collaborates with cross-functional teams, and evaluates model outputs to enhance user experience.

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.

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

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.