Top Machine Learning Jobs in Bristol
Lead the design, development, and integration of Generative AI solutions in Firefox. Build infrastructure for training and inference of LLMs and small language and vision models for web and mobile Firefox product experiences. Implement testing procedures, monitor, and optimize deployed models.
Join Nansen as a Senior AI/ML Engineer to develop and monitor AI models for analyzing blockchain data, influencing decision-making for crypto investors, and advancing the platform's capabilities.
Seeking an experienced Engineering Manager in AI/ML to lead a team of software developers, focusing on essential products in the language AI platform. Responsibilities include managing team development, talent acquisition, technical aspects of the product, and researching new AI/ML technologies. Requirements include mastery in Python, ML frameworks, AI system design, cloud platforms, and leadership experience.
Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
Lead the design, development, and integration of innovative machine learning models in Firefox. Stay up-to-date with the latest advancements in machine learning and natural language processing. Drive collaboration and upskill the team on AI technologies.
We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.
The Engineering Manager ML - Account Takeover at Abnormal Security will lead a team of engineers to develop an enterprise-grade product focused on cloud security. Responsibilities include managing a team of multi-disciplinary engineers, sourcing and hiring technical talent, and mentoring and developing the team. Ideal candidates thrive in challenging and fast-paced environments, have experience in senior engineering roles, and possess strong soft skills. This is not a fit for candidates who prefer structured environments, lack experience in technical leadership, or prioritize only technical challenges.
The Solutions Engineer at Cloudera is responsible for owning the technical sales process, supporting customer technical needs, designing solutions using Cloudera technologies, and driving successful sales. The role involves presenting product roadmap, participating in external events, and advocating for customer needs. The ideal candidate will have at least 8 years of experience in a customer-facing role with expertise in technology, presentations, and customer requirements.
As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.
As a Senior ML Engineer at Mimica, you will own components of the Machine Learning pipeline, analyze and preprocess data, implement pipelines, research Computer Vision and NLP literature, and deploy models to production. You will also collaborate with frontend engineers, participate in architectural decisions, mentor team members, and contribute to hiring and onboarding processes.
Seeking a Staff Software Engineer with a passion for machine learning operations and data engineering to join the ML Data team at HubSpot. Responsibilities include leading and innovating in machine learning data infrastructure, providing strategic direction, collaborative problem-solving, and mentorship. Looking for candidates with a track record in AI/ML system projects, ability to collaborate across the organization, industry best practices, and commitment to data quality, security, and privacy.
Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.
Senior Software Engineer position at Entrust, focusing on developing state-of-the-art machine learning-backed services for biometric verification, document classification, and fraud analysis. Responsibilities include designing and implementing ML pipelines, optimizing research projects, and providing technical guidance to other engineers. Required skills include Python, machine learning frameworks, and testing frameworks.
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