26 to 39 of 39 Experimental Design Jobs

opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build ...

Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly Cross-functional collaboration skills with product and delivery teams International project experience and ability to drive localization ...

Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly Cross-functional collaboration skills with product and delivery teams International project experience and ability to drive localization ...

Python, JavaScript, or similar technical stack) Experience integrating hardware + software and working with real-world operational workflows Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly Cross-functional collaboration skills with product and delivery teams International project experience and ability to drive localization ...

opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build ...

opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build ...

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 ...

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 ...