25 of 25 Remote/Hybrid Experimental Design Jobs in London

behavioral and social sciences, evaluation methodology, and structured bias testing. You'll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within … science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, hypothesis testing, power analysis, experimental design, causal inference, and Bayesian modeling. Experience designing evaluation methodologies - including black-box and counterfactual approaches - and the test datasets behind them ...

collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. The Role As an AI Harness Engineer at Valarian, you will own the experimental design, evaluation methodologies, and benchmark infrastructure for our AI models and autonomous agentic workloads. In an emerging domain with no standard playbook … agent scaffolding, prompt design, tool execution loops, context window compaction, retries, and safety guardrails. What we are looking for: Grounding in Statistics & Experimental Design: Demonstrated expertise in hypothesis testing, bootstrapping, power analysis, and statistical significance within probabilistic machine learning systems. LLM-as-a-Judge Validation ...

improve the key metrics. Who you are You hold a degree in mathematics, statistics, machine learning, or computer science. Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when a result is real. AI-native, ruthless on quality. … production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL. Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when ...

products is a must Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science procedures (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively … statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner ...

experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate … 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi‐experimental approaches. Experience applying data science, machine learning ...

home day. Responsibilities: Lead and directly contribute to laboratory, phantom, benchtop, and in‐vivo testing of new optical neuromonitoring systems and methods Own defined experimental workstreams from planning and protocol development through execution, analysis, documentation, and communication of results Develop and validate tissue‐mimicking phantoms and experimental setups … experimental evidence is translated into product and technical decisions Provide technical guidance to less experienced team members and help maintain high standards of experimental practice, documentation, and scientific rigour AI is fundamental to our culture — it's not just a tool, but a core part of ...

skills and attention to detail, with the ability to validate data integrity, spot anomalies, and ensure accurate calculation of metrics like LTV. You understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance. You communicate complex analytical findings ...

research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

United States Digital Space LLC in London is seeking a Junior Data Scientist to design experiments and build statistical models guiding how we reach new customers in sales and marketing. You will work under the mentorship of the team’s data scientist, collaborating with analysts, software engineers ...

Generative AI to solve real-world customer problems while delivering measurable commercial impact. Salary: £80K - £85K Location: London | Hybrid The Opportunity You’ll design, build and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered … experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval or ranking techniques ...

risk modeller, but you can't be allergic to the topic. Strong technical foundation in analytics with advanced SQL. You can model data, design experiments, and have a proper technical conversation if required. Comfortable operating at both strategic and tactical levels, able to 'zoom in' on critical insights ...

channels, monitor performance rigorously, and drive ROI optimisation through collaborative planning and agile adjustments Funnel optimisation: Own install → sign-up → funded → AUA conversion; design experiments, fix friction, and improve time-to-funded across web and app. Advertising & tracking: Guide the team in executing creative testing, refining bidding strategies ...

systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. … observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches ...

Gaia in a fast-paced, results-focused environment. Key responsibilities: Lead and execute large-scale training runs for video (or adjacent) foundation models, from experimental design through production-grade execution Contribute to model architecture and training strategy, using first-principles understanding rather than "off-the-shelf" application ...

working, and build the data products that make those answers repeatable and trusted. What You'll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...

working, and build the data products that make those answers repeatable and trusted. What You’ll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...

working, and build the data products that make those answers repeatable and trusted. What You'll Do Marketing Measurement & Attribution Lead the design and build of Moneybox's marketing attribution framework Own incrementality testing: design experiments, define holdout groups, and translate results into actionable media planning … ensure martech data flows (AppsFlyer, Google Ads API, Meta Ads API, GCP, Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases ...

guiding product development toward innovative features and experiences. In a fast-paced, startup-like environment within the bank, you’ll deliver directional insights, design experiments, define success metrics, and own the analytics roadmap to drive customer outcomes. #J-18808-Ljbffr ...

BigQuery, Dataform, Tableau, Amplitude, and Monte Carlo to build robust data models and semantic layers. You’ll partner with Product and Engineering to design experiments, analyse results, and translate findings into actionable product improvements, while mentoring peers and expanding our data capabilities. #J-18808-Ljbffr ...

Faculty Science Limited is seeking a Research Scientist to conduct original technical research in AI safety. You will design experiments, study model behavior, and develop robust tooling to support safe, trustworthy AI deployment. Working with Senior and Lead Research Scientists, you will translate complex technical insights for external ...

technical accuracy, logical consistency, and sound statistical reasoning. Provide structured, actionable feedback to improve AI model performance. Apply strong quantitative judgment when evaluating experimental designs, analytical methods, and data-driven conclusions. Communicate technical findings and statistical concepts clearly and precisely. Required Qualifications At least 1 year of professional experience … Qualifications Professional experience combining Python, machine learning, statistics, and data analysis . Experience with Pandas and other data science tools. Experience with experimentation and experimental design. Strong understanding of data modeling and quantitative methods. Experience developing analytical datasets or benchmark problems. Background in quantitative roles within technology, finance ...

supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping … it. Desirable: Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production. Track record of promoting statistical rigour and experimental best practices in your prior roles. Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing. Prior experience using large ...

catch them, and use them to drive measurable improvement. This is the core loop for any AI product and you will own it. Design for the digitally excluded Get properly close to them: listen to real calls, sit with patients in person, talk to the HCAs and clinicians … care for them. Then design engagement that meets them where they are, not where a product manager would like them to be. Run experiments at service scale Channel, timing, wording, sequencing, voice. Design experiments that produce a real signal across thousands of patients, read the results ...

have the critical judgement not to accept its first answer. What You’ll Do The parts that are specific to this role Design for the digitally excluded Listen to real calls, sit with patients, talk to the HCAs and clinicians who care for them. Then design … like them to be. The hardest patients to reach have the most to gain. Run experiments at service scale Channel, timing, wording, sequencing. Design experiments that produce a real signal across thousands of patients, and kill your own ideas when the data says so. Most of the early ...

zero-to-one, responsible for turning bets from concept into validated realities and building the case for scale. You will frame problems, design experiments, and coordinate with design, product, and client teams to advance learning products within Pearson’s enterprise portfolio. This role is a senior ...