1 to 25 of 111 Permanent 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 ...

create environments that support tumour growth, metastasis and treatment resistance. Our research explores the relationship between cancer, ageing, inflammation and tissue regeneration, combining sophisticated experimental models with genomic and multi‐omic approaches to uncover the mechanisms driving disease. About the role We are looking for a talented and motivated … ATAC‐seq, ChIP‐seq, methylome and proteomic data. This is more than a data analysis role. You’ll have the opportunity to influence experimental design, identify interesting patterns and signatures within large datasets and help translate computational findings into new biological hypotheses that can be tested experimentally. ...

create environments that support tumour growth, metastasis and treatment resistance.Our research explores the relationship between cancer, ageing, inflammation and tissue regeneration, combining sophisticated experimental models with genomic and multi-omic approaches to uncover the mechanisms driving disease.**About the role**We are looking for a talented and motivated Bioinformatician … ATAC-seq, ChIP-seq, methylome and proteomic data.This is more than a data analysis role. You’ll have the opportunity to influence experimental design, identify interesting patterns and signatures within large datasets and help translate computational findings into new biological hypotheses that can be tested experimentally.You ...

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 ...

advice and analyses of complex omics, imaging, and clinical datasets, turning data into meaningful biological insights. You’ll play an active role in shaping experimental design, developing innovative analytical approaches, and delivering impactful discoveries. Working within a highly collaborative team, you will also have opportunities to publish … doing You will Provide AI/ML expertise to help Francis Crick scientists achieve their research objectives. Provide expertise to inform on the experimental and analysis design process. Analyse complex biomedical data, using a wide range of biological resources, as well as Agentic ...

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 ...

recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis and time series analysis. Experience using AI tools in your ...

MTSR), Areteia Therapeutics, and Corsera Health—we’re building the future of population health. As a Staff Data Scientist, you’ll lead the design and execution of advanced analytics, statistical modeling, and machine learning across Onsera’s platform, leveraging complex healthcare data—claims, clinical records, and real-world … record of independently leading applied research initiatives from conception to production deployment, with measurable business impact. Deep expertise in statistical modeling, classical ML approaches, experimental design, and emerging AI/ML methodologies. Expert‐level Python proficiency with extensive experience using scientific and ML libraries (e.g., pandas, scikit ...

next great innovations that Optimizely should invest in. Job Responsibilities Product and Feature Development Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless … both technical and non-technical audiences to promote understanding of experimentation best practices. Represent Optimizely at conferences and industry events, showcasing expertise in experimental design and statistical analysis. Customer Engagement and Support Conduct customer calls to explain how statistical accuracy is maintained across Optimizely’s experimentation products. ...

operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities Search & Retrieval Development Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale. Help architect and improve RAG pipelines, including retrieval strategies, prompt design … recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection) Contribute to development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness ...

decisions are made and reviewed. Provide the guidance, tooling and protocols that improve your partner teams' experimentation velocity without sacrificing rigour. Lead the design of experiments where a standard A/B test is not sufficient, including low-traffic surfaces, users competing for the same supply, long‐horizon … with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only ...

research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Hands on experience building ...

program in Statistics, Biostatistics, Computer Science, Mathematics, Operations Research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study. Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software. Experience with methods ...

take months to appear. You will: Set the technical standard for experimentation across Product Data Science, from conventional A/B testing to quasi-experimental and Bayesian methods, and make it practical through protocols, frameworks and tooling. Partner with Product, Engineering and Data Platform teams to improve experimentation velocity … with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only ...

agentic AI/multi‐agent systems within regulated or compliance‐driven environments Recent hands‐on experience training, deploying models and pipelines Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus ...

will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands ...

/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming ...

build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment … of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to‐end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure ...

build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment … of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure ...

Practice Group/Department Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full … comparable tools. Experience with search indexes, vector databases, graph databases, knowledge graphs, ontologies or master-data-management techniques. Experience with MLOps, model monitoring, experimental design, causal inference, forecasting, recommendation systems or optimisation. Experience with legal, financial, client, market or professional-services data, especially licensed external data ...

multi‐agent systems in regulated or compliance-driven environments Recent hands‐on experience training and deploying models and pipelines Ability to design experiments and training frameworks, and define and evaluate intrinsic and extrinsic model-performance metrics aligned with business goals, focusing on agentic systems and LLM evaluation Experience ...