Top Machine Learning Jobs in Bristol

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.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

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

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

The Principal Product Manager will lead product and commercial strategy in a complex domain, focusing on user-centric solutions and driving transformative change while collaborating across teams.

The Forward Deployed Software Engineer will customize AI solutions for enterprise customers, maintain technical ownership, and bridge between support and engineering.

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 Staff Scientist leads significant research areas, designs research projects, engages with real-world applications, mentors other scientists, and represents the organization's scientific authority externally.

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.

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.

As a Machine Learning Engineer, you will design and enhance models for conversational AI, addressing challenges in NLP and enterprise deployment.

The Data Scientist will analyze conversational data to provide insights, enhance AI capabilities, and deliver value for Fortune 500 clients.

As an AI Trainer - Machine Learning Specialist, you will provide expert feedback on AI models, complete AI training tasks, and assess AI performance. Candidates must exhibit ML expertise and complete a skills verification test.

As a Software Architect, you will lead the technical vision of our HR platform, drive AI initiatives, ensure security, and mentor engineers.

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.