26 to 36 of 36 Permanent Experimental Design Jobs

user behaviour and product performance across key journeys Build dashboards and self-serve insights for cross-functional teams Support A/B testing: design experiments, interpret results, recommend next steps Work with data and platform teams to ensure clean, scalable datasets Present clear, actionable insights that influence product ...

suite. You will turn insights into intuitive sketches, flows, and Figma prototypes that help us explore ideas quickly, validate assumptions, and define clear design direction. Expect to be solving some of the most intricate energy market problems and thinking about how energy data can serve various customers from … Engine, supporting greenfield product development from ideation through MVP to scale. Develop concepts and prototypes, iterate quickly based on user testing and feedback. Design experiments to ensure designs meet user needs by defining the most frictionless UX/UI for any front-end product. Working alongside Product Owners ...

client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs … learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish ...

client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs … learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish ...

client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs … learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish ...

closely with product, engineering, commercial, and operations teams to provide insights, build dashboards, and ensure data is accessible and actionable. You’ll help design experiments, measure outcomes, and contribute to AI and internal productivity initiatives, making data a true competitive advantage for the organization. Key Responsibilities Analysis & Insights … skills, with experience applying statistical methods. High level of comfort translating data into clear business insights for non-technical stakeholders. Familiarity with experimentation design (A/B testing) and KPI development. Some experience with Python and experience working with modern data platforms (Snowflake, BigQuery, Databricks) along with ...

transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR). Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation). API usage & integration: Read docs, consume … Command services). Interview process 30-min intro (role, your goals) Python data task (clean/transform + quick viz) API & systems chat (design a small data pull + retries/observability) Simulation case (parameter trade-offs; short write-up) Stakeholder round (present findings; Q&A) What ...

transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR). Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation). API usage & integration: Read docs, consume … Command services). Interview process 30-min intro (role, your goals) Python data task (clean/transform + quick viz) API & systems chat (design a small data pull + retries/observability) Simulation case (parameter trade-offs; short write-up) Stakeholder round (present findings; Q&A) What ...

transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR). Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation). API usage & integration: Read docs, consume … Command services). Interview process 30-min intro (role, your goals) Python data task (clean/transform + quick viz) API & systems chat (design a small data pull + retries/observability) Simulation case (parameter trade-offs; short write-up) Stakeholder round (present findings; Q&A) What ...

solutions you develop, youll be doing it for an organisation who makes a huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses … design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing ...

Airtable, APIs, ChatGPT automation Comfortable with ambiguity; you find structure where others see chaos Obsessed with understanding how systems grow (traffic ? leads ? revenue) Curious, experimental, analytical You ask sharp questions and design experiments to answer them Why This Role Is Special Join a Marketing-First B2B organisation ...