1 to 25 of 42 Remote/Hybrid Prototyping Jobs in London

Ability to simplify complex data and ML concepts into user-friendly design Proven experience leading end-to-end design delivery Strong skills in research, prototyping, and interaction design Experience working in cross-functional teams (engineering, data, product) Nice to have Experience in government, defence, or secure environments Understanding of ethical ...

Services or OpenAI APIs • Python exposure, particularly in AI or data driven contexts • Low code/no code tools (e.g. Webflow) for rapid prototyping • Client facing experience presenting technical roadmaps and trade offs If you want real technical influence, high profile work and the backing of a top tier creative ...

Lunch allowance for use within our subsidized onsite canteen Must have skills Prior UX design experience creating digital experiences Expertise in Figma and modern prototyping and research tools Deep knowledge of UX strategy, interaction design, responsive design, and accessibility Strong communicator able to simplify complexity and influence at all levels ...

from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build ...

across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production-grade deployments. Design, develop, and deploy high-quality, scalable software solutions, focusing on AI-enabled applications and infrastructure. Lead and participate in technical ...

research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills with a focus velocity Excellent communication skills and the ability to flourish in a team Located in London/ ...

teams to ensure each innovation is technically sound, commercially valuable, and aligned to client needs. You’ll own the full lifecycle — from concept and prototyping through to launch and iteration — leading initiatives that transform client workflows and deliver measurable ROI. Key Responsibilities Define and execute the strategy for data-centric ...

solutions Required Skills & Experience: Active SC Clearance (mandatory) Strong proficiency in Python Hands-on experience with AWS , particularly SageMaker Experience with Streamlit for rapid prototyping and PoC development Solid understanding of anomaly detection techniques Experience building data workflows/pipelines Desirable: Experience working in secure/government environments Knowledge ...

Expertise in user research, insights, and data-led decision making – Comfort navigating ambiguity in fast-paced product environments – Advanced Figma skills including prototyping and design systems – Exposure to AI-driven product features or workflows (highly desirable) Why You’ll Love It – – Opportunity to shape next-generation AI-enhanced user experiences ...

engineers, and lab scientists to build scalable ML systems that directly influence the discovery pipeline. This is a hands-on role with ownership - from prototyping models to productionising them in a fast-moving start-up environment. What You’ll Be Doing Develop and deploy machine learning models on biological datasets ...

that can verify the quality of the code and identify error patterns across full-stack applications. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

that can verify the quality of the code and identify error patterns across full-stack applications. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

that can verify the quality of the code and identify error patterns across full-stack applications. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

that can verify the quality of the code and identify error patterns across full-stack applications. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

develop use cases, including commercial benefit analysis and value articulation Experience working with technology partners, ideally including startups or emerging technology providers Experience leading prototyping, validation, and early-stage product scaling Strong stakeholder management across global, matrixed organisations Ability to challenge, influence, and operate effectively in ambiguous environments Strategic mindset ...

data-intensive processes You assist in building integrations between internal and external systems using automation tools and AI-driven solutions You contribute to rapid prototyping of business solutions using AI-assisted technologies You document workflows and automations clearly, ensuring reliability and scalability across teams You collaborate with stakeholders across ...

data platform teams. Focus on platform engineering principles to improve the developer experience, velocity, and efficiency of all data engineering teams. Lead the evaluation, prototyping, and adoption of new data technologies, balancing industry best practices with business needs. Extensive experience in software and data engineering, with provable experience operating ...

agents that can verify the quality of systems-level and infrastructure code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

that can verify the quality of the code and identify error patterns across full-stack applications. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify ...

across the organisation. Focus on platform engineering principles to improve the developer experience, velocity, and efficiency of all data engineering teams. Lead the evaluation, prototyping, and adoption of new data technologies, balancing industry best practices with business needs. What will you bring to the team? Extensive experience in software ...

write user stories and acceptance criteria optimised for coding agents (not just human developers) - clear preconditions, deterministic outputs, edge cases explicit Drive rapid prototyping cycles using AI-assisted tools to validate feature hypotheses before engineering commitment Automate feedback synthesis: use AI tooling to process customer interviews, support tickets, usage data ...

performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them Design verification mechanisms that can automatically verify ...

performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them Design verification mechanisms that can automatically verify ...

performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them Design verification mechanisms that can automatically verify ...