26 to 50 of 97 Bayesian Methods Jobs

/TypeScript development Energy experience and modeling, optimization Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK) FastAPI and microservices experience React ...

/TypeScript development Energy experience and modeling, optimization Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK) FastAPI and microservices experience React ...

think in terms of the cost function and inductive biases of your modelsBayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work.Time series modelling. You have modelled temporal data where autocorrelation, drift, or seasonality mattered.Python. The stack the team uses.The salaryWe expect ...

technical leadership: mentoring, setting standards, and influencing scientific and technical direction beyond your own projects. Beneficial Skills Practical experience with active learning, Bayesian optimisation, conformal prediction, or uncertainty quantification in iterative real‐world loops. Familiarity with retrosynthesis ML, computer‐aided synthesis planning (CASP), or reaction‐condition/ ...

through to multinationals, helping them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

international clients, from data strategy and collection to modelling, insights, and activation.· Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data· Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery.· Build … similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.· Experience translating data and model outputs into actionable business recommendations.· Comfortable handling large datasets, optimizing data pipelines, and delivering ...

linear methods. You have shipped gradient boosting or neural networks on tabular data in production.Bayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work.Time series modelling. You have modelled temporal data where autocorrelation, drift, or seasonality mattered.Python. The stack the team uses.The salaryWe ...

required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/ ...

Stats Background • Outstanding background in probability and statistics • Experience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical models • Programming experience with python, julia or R You will be joining a progressive and exciting company committed to excellence. They offer ...

model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics related to parametric probability distributions, nonparametric probability distributions, Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically carry out mission goals with limited supervision. The ARSIEM pay range ...

model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics related to parametric probability distributions, nonparametric probability distributions, Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically carry out mission goals with limited supervision. The ARSIEM pay range ...

Analyst or Data Scientist Minimum 2:1 in a Quantitative subject ideally Masters Experience OR an interest in Modelling – CHAID, Cluster Analysis, Bayesian Algorithms, NN, Experience with visualisation tools would be nice Python and SQL experience ideally - Python a MUST Experience in a Data Science role with ...

products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need to do the best work ...

shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, data skills, SQL, matplotlib, etc. At Fin, we want to give people what they need ...

into a compelling product vision and strategic roadmap. Deep expertise in advanced measurement techniques including Marketing Mix Modeling (MMM) (including various methodologies like Bayesian), Multi-Touch Attribution (MTA), Incrementality testing, and marketing experimentation. Strong understanding of marketing data sources, data ingestion, transformation, and reporting challenges. Deep expertise ...

Scrum Nice to Have : Experience with UI/UX design principles. Experience deploying cloud infrastructure as code (e.g. AWS). An understanding of Bayesian statistics. Experience with accessibility, inclusive design or motion design. Location: This role is on-site at either our Exeter or Bristol office. ...

Scrum Nice to Have : Experience with UI/UX design principles. Experience deploying cloud infrastructure as code (e.g. AWS). An understanding of Bayesian statistics. Experience with accessibility, inclusive design or motion design. Location: This role is on-site at either our Exeter or Bristol office. ...

React; Javascript/Typescript. Experience with UI/UX design principles. Experience deploying cloud infrastructure as code (e.g. AWS). An understanding of Bayesian statistics. Experience with accessibility, inclusive design or motion design. Location: This role is on-site at either our Exeter or Bristol office. ...

seeking a Principal Scientist within the Cheminformatics (CIX) group. You will leverage large proprietary internal datasets to develop, integrate and embed advanced computational methods and predictive in silico models that accelerate the discovery of medicines. With a focus on machine learning, cheminformatics and computational chemistry methodologies, you will help … guidance that is accessible to non-experts.Contribute to and validate production-quality code implementing state-of-the-art cheminformatics, computational chemistry and quantum chemistry methods that accelerate and improve decision-making on drug discovery programmes.Prepare and present results of key validation experiments, details of capability builds, and developments ...

explain complex technical concepts clearly Strong programming skills in Python, with experience in C++ for production or performance-critical systems Desirable: Experience with Bayesian inference, uncertainty estimation, probabilistic modelling, or state estimation Familiarity with custom loss functions, action recognition, synthetic data, or multi-modal neural networks ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems.Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems. Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech ...

shipping ML productsPhD or other experience in a research environmentDeep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clusteringStrong stats or math backgroundVisualization, data skills, SQL, matplotlib, etc.At Fin, we want to give people what they need ...

rich environments Strong statistical knowledge Experience with product analytics and behavioural tracking Experience mentoring or coaching other analysts Nice to have Knowledge of Bayesian or Frequentist experimentation approaches Experience with event-level analytics platforms Predictive analytics exposure The team You'll report into the Analytics Team Lead ...

GraphRAG, multi-agent architectures, or production retrieval-augmented pipelines. Experience optimizing high-performance ML or scientific models (e.g., protein structure prediction, surrogate modeling, Bayesian optimization). Hands-on work with multi-agent systems, knowledge graphs (Neo4j), or agent frameworks/SDKs. Familiarity with Airflow or Prefect, PyTorch ...