Top Machine Learning Jobs in Bristol

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

As a Data Scientist at Wave, you will optimize user initiatives, perform advanced analytics, and develop machine learning solutions to enhance user engagement and business impact.

The Partnerships Manager will drive partner strategy and revenue growth in EMEA, build executive relationships, and manage partner performance metrics and governance using BI tools.

The Senior Machine Learning Engineer will develop and optimize AI models for Graphcore's hardware, focusing on performance at scale while collaborating with cross-functional teams.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

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.

The role involves reliability and performance testing in AI/ML, requiring candidates to create ML workloads, build CI/CD, and design tests while collaborating with software teams.

The Software Engineer will port and optimize C++ applications and ML models for ARM-based platforms, collaborating on R&D for improved on-device ML capabilities.

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

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As a Staff Software Engineer, you will build platform infrastructure for real-time data processing, solve optimization problems, and implement APIs and UI designs.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

As a Machine Learning Engineer, you will develop and implement ML algorithms and GenAI solutions, productionize algorithms, and foster a collaborative data science culture while identifying impactful opportunities across products.

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

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

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The role involves fine-tuning models, designing architectures, building evaluation pipelines, and collaborating on AI product features for a global audience.

The role focuses on transforming language models into impactful products, involving fine-tuning models, designing datasets, and evaluating performance, while collaborating with various teams.