Top Research Jobs in Bristol

Design and run ML experiments, implement and optimize algorithms for hardware efficiency, collaborate with researchers and engineers, and publish and present results at AI conferences.

Conduct research in visual generative modelling, multimodal learning and world models; design and run ML experiments; publish results; collaborate with software and silicon teams to shape hardware-aware algorithms and deployment strategies for embodied AI, robotics and autonomous systems.

Design and develop mechanical components and electromechanical assemblies from concept through pre-production. Create 3D CAD, engineering drawings, perform structural and thermal FEA, develop test rigs and validation programmes, define requirements and risks, apply DFM/DFA, GD&T and PPAP, and collaborate across multidisciplinary teams to produce manufacturable, IP-rich solutions.

Lead and scale user research across Core Banking, define strategic research direction, partner with senior stakeholders, manage and coach research managers (6-8 reports), synthesize qualitative and quantitative insights, and embed a global research operating model to inform product and organisational strategy.

Conduct and publish original computer science research (with emphasis on AI and/or cyber security), secure research funding, supervise PhD students, teach and develop inclusive curricula, contribute to departmental administration, knowledge transfer, enterprise and public engagement, and support an inclusive academic community.

Academic role combining research, teaching and administration in computer science. Duties include leading research (publishing, funding, supervision), designing curricula, delivering high-quality teaching, contributing to management and outreach, and mentoring colleagues and students.

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.

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

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.

Provide supervisory compliance and relationship management for Financial Professionals, ensuring activities follow firm policies and regulations. Conduct office visits, review securities activity, correspondence, and regulatory documentation; serve as escalation contact; use data and reporting tools to identify needs and improve processes; partner cross-functionally on strategic initiatives. Requires travel ~8-10 weeks/year and applicable FINRA licenses.

Lead research-driven branded content for sponsor-funded campaigns: design and run quantitative surveys, analyze data, write and edit multi-format sponsored assets, manage freelancers, coordinate with sales and sponsors, use AI tools responsibly to speed workflows, and script/moderate live and virtual partner 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.

Apply formal decision theory and structured reasoning to enterprise problems: design decision frameworks, model uncertainty and tradeoffs, test decision architectures, run experiments, and translate research into system-ready primitives collaborating with engineering and product teams.

Lead go-to-market strategy and commercial execution for a new AI-native Market Research service. Build positioning, pricing, and metrics; generate pipeline and close deals; partner with Sales, Marketing, Product, and Research; represent Maze publicly; and help scale the service and team while feeding market insights back into product and offering design.

Lead product discovery and delivery for an AI platform serving life-sciences R&D. Partner with design, engineering, and data science to define requirements, prioritize features, and measure outcomes. Engage researchers and R&D users to ground decisions in workflows, and help scale enterprise AI/data products from concept through launch.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

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

Part-time research associate to collect and code secondary qualitative data, support and train carer co-researchers, contribute to writing and dissemination, and perform project administration for a study on carer harm in serious mental illness.

Lead global, cross-functional project teams for neuroscience clinical programs. Manage budgets, scope, compliance, milestones, client relationships, and business development while overseeing complex, multi-phase trials across psychedelics, MDD, and epilepsy.

Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.

The Frontend Engineer will implement UI features, automate UI testing, and oversee production releases while focusing on user experience in the blockchain space.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.