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 design, optimization, and deployment of machine learning forecasting algorithms and models that support Gorilla’s energy platform, ensuring scalability and integration while mentoring peers.

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 Senior Machine Learning Engineer will design and implement AI/ML solutions, optimize performance, and collaborate with teams to enhance product development.

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.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

Lead design, optimization, and deployment of automation efforts using large-scale ML/AI systems, ensuring scalable and efficient infrastructure.

This role involves developing and deploying machine learning models for fraud detection, collaborating with teams to ensure customer safety and business impact.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Staff ML Engineer will develop and maintain ML tools for game development, collaborating across teams to integrate machine learning into games and enhancing production workflows.

We are seeking a Graduate Software Engineer to develop high-performance machine learning kernels, optimizing compute performance for AI hardware. Responsibilities include kernel implementation in C++, performance profiling, debugging, and enhancing product quality.

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

Responsible for ensuring the correctness and reliability of numerical libraries, improving tests, debugging issues, and mentoring team members.

Responsible for developing new kernels for linear algebra operations on AI hardware, optimizing performance, debugging issues, and mentoring team members while supporting Agile practices.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

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

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.

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.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

As a Senior AI/ML Software Engineer at BJAK, you will help design and implement machine learning systems that enhance user experience and improve financial services. Your responsibilities include defining ML goals, managing the ML lifecycle, and integrating outputs into products.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.