Top Machine Learning Jobs in Bristol

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.

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

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.

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

The Partner Marketing Manager will oversee the end-to-end partner marketing efforts, build relationships with technology partners, execute joint campaigns, and develop marketing frameworks to enhance pipeline growth.

Lead the product strategy for Jumio's ID Verification solutions, overseeing product lifecycle, team performance, and collaboration with engineering and marketing, ensuring compliance and customer needs are met.

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

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 a Senior AI Engineer, you will architect workflows for AI agents, develop ML/NLP products, and mentor engineers in crafting intelligent recruiting systems.

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

The Presales Engineer will address financial crime compliance needs by engaging clients, presenting solutions, leading POCs, and enhancing customer relationships.

As an Engagement Manager, you will enhance customer utilization of BioCatch's Behavioral Biometric solutions, manage relationships, lead projects, and identify sales opportunities.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Account Executive will drive sales performance, manage client relationships, execute the sales process, and generate revenue from new business deals, particularly in the ad-tech sector.

The Product Director will lead product strategy for an analytics platform, drive product innovation, ensure compliance, and manage cross-functional teams.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

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

As an Account Executive, you'll drive new business growth, manage sales opportunities, understand client needs, and ensure customer satisfaction within the SaaS sector, focusing on enterprise solutions.

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.