Top Research Jobs in Bristol

Conduct careful information retrieval and research to develop tasks for training and benchmarking frontier AI models. Leverage web-enabled LLM research tooling, validate sources, cross-reference claims, and communicate findings and uncertainties clearly in synchronous and asynchronous settings. Contract role, ~20 hours/week for one month with possible extension.

Conduct research to evaluate and improve forecasting and agentic LLM web research. Formulate open problems, devise innovative solutions, build evaluations, benchmarks, and datasets, publish findings, and collaborate with frontier labs to improve AI epistemics and decision-making.

Manage and audit product catalog data across e-commerce platforms and CMS, optimize listings for SEO and platform rules, correct listing errors, support taxonomy and attribute structures, analyze catalog performance, and collaborate with marketing and design to improve digital merchandising.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Lead 6G radio protocol research and standardization, drive innovation in mobile communications, and develop pioneering intellectual property. Collaborate on system-level expertise and advocate for Nokia's technical leadership in international standards.

Short-term consultant to maintain WaterAid's research and data monitoring functions: manage the KRSP, integrate and format databases into the Statistics Bank/Power BI, update JMP/GLAAS WASH datasets, produce monthly KRSP usage reports, convene research clinics, and support research design, procurement and quality assurance over a four-month assignment.

Design and own frontier evaluation methodology and benchmarks for LLMs across reasoning, coding, agents, tool use, and multi-modal tasks. Build expert-verified benchmark packages, recruit and calibrate subject-matter experts, act as technical liaison to labs, and deliver lab-ready pilot evaluation packages with rigorous QC and validation.

The Senior Research Consultant will advise clients on market research, design studies, interpret results, and integrate AI into research processes.

The Research Advisor will provide high-level consultancy on AI model governance, engage with clients, and contribute to impactful research and publications within the Human Frontier Collective.

Short-term consultancy to review recruitment and related human-rights policies for 5,000 companies and 250 industry associations; update and verify 407 existing register entries; collate company contact and policy data into a database for advocacy; develop clear removal criteria and a tracking document; deliver within 35 working days over ~2 months.

Join Verve as an Insight Associate, focusing on AI-powered market research. Learn to design research, interpret human behavior, and contribute to client projects using AI tools.

Identify and qualify new business opportunities through high-volume outreach (phone, email, LinkedIn), research targets, nurture leads, coordinate with marketing and Solutions Account Executives, schedule demos, and build a strong pipeline by reaching decision makers and generating qualified opportunities.

Identify and qualify new business opportunities through high-volume outreach (phone, email, LinkedIn), research targets, engage prospects, document pre-sales information, coordinate with marketing and account executives, and build a pipeline of qualified meetings and demos.

The SaaS Sales Executive will drive sales in the academic sector, identify new business opportunities, manage the sales cycle, and build relationships with key stakeholders in Europe.

As a Research Intern, you will contribute to original research in deep learning, design novel neural network architectures, and collaborate on projects with researchers.

The Senior Research Partner at Maze collaborates with teams to integrate user research into product development, leading customer engagements and providing best practices in UX Research.

Seeking a Staff or Principal Research Scientist to develop cutting-edge AI models and systems, with a strong emphasis on experimental design and full-stack research ownership.

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.

Lead global cross-functional project teams for neuroscience/epilepsy programs, ensuring project delivery, budget and scope adherence, regulatory and process compliance, client liaison, milestone achievement, and support for business development and client relationship growth across full trial lifecycles.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

Manage and grow corporate subscription accounts for research-intensive clients by selling complex, AI-enabled knowledge solutions. Build account strategies, identify cross-sell/upsell opportunities, negotiate contracts, forecast pipeline in CRM, deliver high-stakes presentations, collaborate with Product/Marketing/Customer Success, and conduct market and customer research to inform sales approaches.

Source and evaluate blockchain and crypto projects for listing, build relationships with founders and VCs, support due diligence and tokenomics analysis, drive internal approvals, negotiate terms, and represent Binance at global events.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

Build and maintain experimental decision-system prototypes, evaluation tooling, simulation environments, and research infrastructure to enable rapid iteration and validation of research concepts in real-world constraints.