Top Machine Learning Jobs in Bristol

Lead the design and development of telematics data products, influence the roadmap, and deliver full-stack features while collaborating with teams to ensure product success.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Vizzuality is seeking passionate individuals for their talent pool in various roles related to science, data, design, and project management, focused on sustainability and positive environmental impacts.

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

Design and deploy production-grade software and MLOps systems utilizing machine learning, working with cross-functional teams to meet client needs in national security.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

As a Senior Data Discovery and Enrichment Expert, you will conduct legal research for AI solutions, create training data, and mentor colleagues.

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.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The Technical Product Manager leads product discovery, collaborates with stakeholders, and manages the product lifecycle focusing on AI-driven solutions and digital products.

The Enterprise Account Executive will drive new client acquisition, develop sales pipelines, and close business deals by partnering with clients and understanding their needs.

As an Account Executive, you will drive sales in the public sector by building relationships, meeting sales quotas, and providing insights on customer needs.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As Workforce Planning Lead, you will manage global delivery operations, optimize resource allocation, and drive process improvements while leading a high-performing team.

Lead the product strategy and development of AI-powered cybersecurity products. Collaborate with engineering, sales, and marketing teams to drive product success and market adoption.

The Machine Learning Engineer role involves designing, implementing, and deploying ML solutions, focusing on LLMs and collaboration with engineering teams.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

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 Lead will oversee AI climate and weather modelling research, coordinate a team, engage with partners, and ensure impactful research outputs.

The Staff/Senior Backend Engineer will bridge Quant Analysts and engineering teams, implement production-grade models, and enhance architecture and best practices.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.