Top Machine Learning Jobs in Bristol

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

The role focuses on strategic sales development, building partnerships with MSP/MSSP organizations to promote SailPoint's Identity Security solutions and driving revenue growth through collaboration and relationship management.

The role involves deploying, implementing, and supporting CrowdStrike's AI capabilities to enhance detection, automate workflows, and optimize security for customers, requiring strong AI and cybersecurity knowledge.

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.

Develop and optimize AI models for specialized hardware, collaborating with research and software teams to enhance performance across large-scale systems.

The Staff Engineer (ML Engineer) will benchmark ML models, validate frameworks, develop automated testing pipelines, and collaborate with software teams to ensure performance and correctness of ML systems.

The Senior Software Engineer (ML QA) will design and maintain automation, develop CI/CD pipelines, mentor junior engineers, and ensure high software quality in machine learning projects.

The Senior ML Engineer will benchmark ML models, validate functionality across environments, develop testing pipelines, and collaborate with software teams on product quality.

The Staff Software Engineer (ML QA) will design, maintain test automation for ML software, and mentor junior engineers while fostering a culture of software quality.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As a Senior Data Science Analyst in Audit, you'll leverage data science techniques to evaluate control effectiveness, support audit plans, and drive innovation within the audit team.

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.

As ML QA Technical Product Owner, coordinate backlog management, support sprint planning, and facilitate cross-team communication to validate machine learning software effectively.

The Technical Account Manager will drive customer success, manage accounts, deliver onboarding and demos, and align engineering solutions with customer needs.

Lead the development and optimization of machine learning algorithms, owning the end-to-end model development and collaborating with Data Engineers for integration into live systems.

The Principal Solutions Architect leads technical solution design, partners with hyperscalers, ensures architectural integrity, and drives customer engagement through compelling narratives and demos.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.

Lead engineering systems and teams for an AI chat application, focusing on backend, mobile, and desktop. Oversee strategy, architecture, integration, and high-impact technical decisions for reliable user experiences.

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 Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

Manage the end-to-end product lifecycle for financial crime tools, focusing on compliance, innovation, and backlog management while liaising between engineering and business teams.

Responsible for developing new and maintaining existing kernels for linear algebra operations on AI hardware, while profiling and optimizing performance.

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

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

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