8 of 8 Bayesian Methods Jobs in England

biggest brands in the US. They are completely rebuilding their flagship products around Bayesian frameworks, moving away from legacy frequentist methods to process tens of millions of data points with higher accuracy and speed. They need a Senior Data Scientist to set the technical standard … Bayesian methods across a growing 25-person UK team. You will directly own core models, choose the best methods for the job, and see your work guide major commercial decisions. Drive Model Strategy: Select and build the right Bayesian, frequentist ...

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK Mar 29, 2018 PREDICTING DRUG TOXICITY WITH BAYESIAN MACHINE LEARNING MODELS We’re currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge … uncertainty in the inputs and propagate this uncertainty into the predictions. In addition, you will promote the use of Bayesian methods across safety pharmacology and biology more generally. You are also expected to present your findings at key conferences and in leading publications This project ...

deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: As a (Senior) Scientist, you will design, develop, and evaluate novel computational methods for translating metagenomic sequencing data into actionable results in a clinical or public health context. You will develop algorithms and AI/ML methods … Develop ML/AI techniques to address real-world problems in the pathogen genomics space, in collaboration with scientists across EIT Validate and benchmark methods using public and internal datasetsWork with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Communicate technical work clearly ...

Excel, and visualization tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Skilled in handling large datasets, optimizing pipelines, and delivering high-quality outputsTrack record of translating complex model results into ...

least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with ...

Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large datasets, optimise pipelines, and deliver high-quality outputs. Track record of translating complex model ...

both technical and non-technical audiences. A proven track record of turning business problems into measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring ...

stakeholders Hands-on experience with a range of models, such as time-series forecasting, gradient boosting, clustering, NLP and Bayesian methods Strong MLOps: orchestration, experiment tracking, hyperparameter tuning and automated retraining pipelines Object-oriented Python, Polars or PySpark, and data versioning (e.g. DVC), plus experience designing ...

pricing models.* Turning pricing opportunities into measurable hypotheses, experiments and production changes.* Evaluating pricing performance through backtesting, online testing and commercial metrics.* Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing.* Working with commercial, finance and product teams to understand pricing performance and recommend … code, testing and code review, alongside strong SQL.* A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods.* Experience designing, running and evaluating pricing experiments using both commercial and statistical measures. ...

attribution and customer acquisition economics. Commercially minded, with the ability to influence marketing strategy. An AI-first approach to data science. Experience with Bayesian modelling, value-based bidding or LTV modelling would be advantageous. Package: £70,000-£90,000 + bonus and benefits Location: Fully remote within ...

some ‘nice to haves’ are: Experience with UI/UX design principles. Experience with PyTorch or other deep-learning libraries. An understanding of Bayesian statistics. Location: This role is on-site at our Exeter or Bristol office. As an ambitious, rapidly-growing start-up, we’re looking ...

biggest brands in the US. They are completely rebuilding their flagship products around Bayesian frameworks, moving away from legacy frequentist methods to process tens of millions of data points with higher accuracy and speed. They need a Senior Data Scientist to set the technical standard … Bayesian methods across a growing click apply for full job details ...

world physical systems. Must-Have Requirements Strong Python experience, particularly for data pipelines. Experience with probabilistic time-series forecasting , including Bayesian methods, PyMC, Amazon DeepAR or similar. Experience working with small or scarce datasets for distribution prediction. Proven ability to build data pipelines/database architectures ...

with a proven record of success in online data science competitions, such as Kaggle. Experience in deep learning, reinforcement learning, non‐convex optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy ...

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 ...

that ships it. You'll work closely with Phil Cowans, our fractional CTO, who co-founded Songkick and Nested as CTO and studied Bayesian machine learning at Cambridge (the maths behind probabilistic risk pricing). The platform is in production on a Python backend and a React ...

algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g., target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production‐grade Python code for both model training and inference. Excited to leverage LLMs ...

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 ...

sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods to accelerate quantum computation (e.g. circuit optimisation and compilation, error mitigation, calibration, variational-parameter optimisation, and surrogate modelling of quantum processes). …/with quantum — building and adapting classical AI methods, including neural networks and large language models, so they can benefit from quantum hardware and algorithms. You don't need to be a world expert in either quantum or LLMs — but you should be genuinely comfortable with neural networks and ...

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 integration into the platform. Analyze product performance data to optimize existing features and provide actionable recommendations for improvement. Leverage AI agents … deploy new statistical capabilities. Research and Innovation Partner with academic and industry researchers to explore cutting-edge statistical methods and machine learning innovations. Identify emerging trends in experimentation and statistics that could enhance Optimizely’s offerings. Propose and prototype advanced statistical techniques to solve challenging business problems faced ...

initiative and are deeply accountable to your internal customers and engineering colleagues. Bonus: experience with implementing solutions for adaptive experimentation ML (contextual bandits, Bayesian optimization or RL-based allocation) Additional Information Bring all of you to work We create the conditions for high performers to thrive, through ...

initiative and are deeply accountable to your internal customers and engineering colleagues. Bonus: experience with implementing solutions for adaptive experimentation ML (contextual bandits, Bayesian optimization or RL-based allocation)Additional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership ...

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 apply it. Technical & Modelling Expertise: Expert level proficiency in Python and … and growth over time, and to bring that perspective into how experiments are designed and interpreted. Standardising at Scale: Experience standardising processes, frameworks or methods across multiple teams, including the use of AI and automation to make good practice the default. Cross‐Functional Partnership: Proven ability to build strong ...

models, machine learning models, and visualisations for experiments that allow us to better understand the therapeutic potential of our antibodies. Implement and develop novel methods for a variety of applied antibody molecule engineering and drug development problems, from target ID to supporting pre-clinical operations. Work on challenging statistical … problems using Bayesian modelling; and optimisation problems using Active Learning & Bayesian Optimisation. Write high quality code to maintain and enhance our technology. Enable a data-first ecosystem at LabGenius through your proficiency at processing complex datasets and extracting key insights. What we’re looking ...