5 of 5 Remote/Hybrid Experimental Design Jobs in the South East

Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: Research and improve retrieval and NLP models. Design experiments, run evaluations, and iterate on modelling approaches. Collaborate closely with engineering to transition research into production. You bring: Strong applied research experience ...

changes Ensure analytical robustness through sense-checking data, assumptions, and outputs Work closely with engineers, analysts, and operational stakeholders within a squad environment Translate experimental outcomes into clear, actionable recommendations for the business Operate independently while maintaining strong collaboration across technical teams Technical Requirements Essential Advanced SQL (including joins … experimentation workflows Experience working with Google BigQuery or comparable cloud data platforms Experimentation Expertise Proven experience designing and building experimentation frameworks Strong grounding in experimental design, statistical validity, and bias mitigation Confident explaining experimental approaches verbally, not just via documentation Ideal Contractor Profile Senior-level experimentation ...

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 ...

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 ...

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 ...