1 to 25 of 116 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 ...

of value. Lead the development and validation of predictive, forecasting, propensity, anomaly and fraud, optimisation and causal models for prioritised use cases. Define appropriate experimental design, sampling approaches, feature strategies, evaluation methods and statistical tests based on the decision being supported and the available data. Lead modelling … Advanced Python capability and experience with relevant statistical and machine learning libraries. Advanced understanding of supervised and unsupervised machine learning, forecasting, causal inference and experimental methods. Experience selecting evaluation approaches, statistical tests, decision thresholds and validation techniques appropriate to different analytical problems. Strong understanding of model evaluation, calibration, explainability ...

data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. ## Your role **Data Science & Analytics*** Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges.* Explore large and complex datasets to identify trends, patterns … technical stakeholders.* Effective collaboration within multidisciplinary teams, supported by strong problem-solving, documentation and critical-thinking skills.**Desirable Skills & Experience*** Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability.* Deployment and operation of machine-learning models, including monitoring, drift detection and performance management.* Awareness ...

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 ...

data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science & Analytics Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. Explore large and complex datasets to identify trends, patterns and actionable … technical stakeholders. Effective collaboration within multidisciplinary teams, supported by strong problem-s solving, documentation and critical-thinking skills. Desirable Skills & Experience Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability. Deployment and operation of machine-learning models, including monitoring, drift detection and performance management. ...

with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions and communicating technical findings to non-technical audiences. Experience leading ...

maximize revenue and utilization. Model Development: Build and deploy statistical models and machine learning algorithms to optimize pricing decisions. Experimentation & Causal Inference: Design and evaluate pricing A/B tests and other controlled experiments to measure impact on revenue and profitability. Help measure the true impact of price … similar quantitative role. Technical Skills: Strong proficiency in SQL and Python for data analysis, manipulation, and modeling. Analytical Methodology: Familiarity with quasi-experimental design and causal inference techniques (e.g., Difference in Differences) to evaluate business impact outside of standard A/B testing. Education: Degree in Data ...

causal relationships, test hypotheses and understand system behaviour. Translate complex and ambiguous problems into structured mathematical and computational models. Analyse time-series, observational and experimental data to identify patterns, dependencies and underlying mechanisms. Develop, evaluate and refine predictive and decision-making models using modern ML techniques. Apply simulation, optimisation … Engineering, Computer Science or another relevant quantitative discipline. Strong experience in machine learning, statistical modelling or applied mathematical research. Practical experience with causal inference, experimental design, hypothesis testing or statistical analysis. Strong Python programming skills and familiarity with ML frameworks such as PyTorch, JAX or scikit-learn. ...

premises models, with agents, MCP tools, and A2A interoperability delivered in partnership with AI Engineering. About the Role: You will independently design, develop, evaluate, and operationalize complex AI/ML solutions. You will contribute hands-on technical expertise, apply rigorous experimentation and MLOps/LLMOps practices, improve modeling … education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit-learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression, ranking, clustering, forecasting, and anomaly detection knowledge. Hands‐on LLM prompting, embeddings, model ...

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 Experience with big data ...

Science, Engineering, or related fields Programming skills in Python Proficient understanding of fundamental AI and ML techniques Practical experience with statistical data analysis and experimental design Curiosity, creativity, resourcefulness, and a collaborative spirit Effective verbal and written communication skills with technical and business audiences Demonstrated ability ...

machine learning.Proficiency in Python and modern data science libraries.Knowledge of deep generative modelling techniques.Experience working with LLM APIs or open-source LLM frameworks.Understanding of experimental design and model evaluation.Exposure to cloud platforms such as AWS, Azure or Google Cloud.Strong communication and collaboration skills.Desirable SkillsExperience within market research ...

Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data. You will partner with investment, data science, engineering … Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection and interpretation Possess hands‐on experience building, deploying, and scaling LLM-powered applications ...

building expertise in responsible AI and predictive science within a highly collaborative, international environment. What you will do Develop predictive models using historical and experimental data to support decisions across Crop Protection R&D. Prepare, integrate and analyse heterogeneous datasets from internal and external sources, ensuring data quality … years of relevant professional or research experience; internships, academic projects and thesis work may be considered. Strong foundation in machine learning, statistical modelling, experimental design and model validation. Proficiency in Python for data science and machine learning, including libraries such as 'pandas', 'scikit-learn', 'PyTorch' or 'TensorFlow ...

learning and deep learning methods 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 Experience with big data ...

Monitor models in production, identify performance drift, propose improvements, and support ongoing recalibration or retraining where required. Apply probability and statistical inference to design experiments, interpret results, and provide clear recommendations to stakeholders. Contribute to high quality data practices by identifying data quality issues, supporting cleaning and normalisation ...

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 ...

deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumP da, 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 Experience with big data ...

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 ...

KPIs and suggest and experiment changes that can be made on site and to commercial propositions to drive growth. You’ll lead experimentation design and analysis, delivering insight that directly shapes roadmaps and priorities. You’ll partner closely with Product Managers, UX and cross-functional teams to understand … Strong analytical mindset with the ability to structure ambiguous problems and translate data into actionable insight Solid grounding in statistics, including hypothesis testing and experimental design, with the ability to apply these in real-world product environments Advanced SQL skills and strong experience with Python (pandas, NumPy ...

/ML techniquesand a strong grasp of current state of the art in specific areas of expertise Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation. Effective verbal and written communication skills with the ability to address both technical ...

onboarding operations and software engineering Builds robust, scalable, and reusable Artificial Intelligence and Machine Learning capabilities Works with software engineering to design and deploy services that can be integrated with strategic systems and processes Learns about and understands our supported business to drive practical and successful solutions Conducts … Machine Learning or related field Proficient understanding of fundamental Artificial Intelligence and Machine Learning techniques Practical experience with statistical data analysis and experimental design Programming skills in Python Effective verbal and written communication skills with technical and business audiences Demonstrated ability to work on multi-disciplinary teams ...

model is scientifically ready to move forward: review validation, robustness across batches, sites and instruments, and the risk of overfitting. Spectral interpretation and experimental design (about 40%) Interpret raw optical signatures from plasma and nanoparticle samples; diagnose artefacts such as baseline drift, autofluorescence, scattering and instrument variability. … information-rich and scarce clinical samples are used well. Mentor scientists and data scientists on the physics of the data and on rigorous experimental practice. External scientific partners (about 20%) Lead the scientific relationship with CROs, contractors and academic groups: write technical statements of work, set data and code ...

with backend engineers on the infrastructure the harness runs on, and with content engineers who use it every day. What you'll do Design and build the creative harness end to end: planning, tool use, context, memory and multi-step execution, so agents can run long, open-ended … tools, planning across steps and acting on the results. A chat interface over retrieval is not enough on its own. Strong foundation in statistics, experimental design and research: you can tell a statistically significant improvement from noise. Designed and shipped evals for outputs that ...