16 of 16 Probabilistic Modelling Jobs in London

Consider DevOps and automation as fundamental pillars of your work. Have a desire to learn and embrace new and emerging technology. Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods. Have experience leading and/or mentoring teams. Have experience providing More ❯

NLTK, scikit-learn Commitment to writing clean, reusable, maintainable, and well-tested code Desire to learn and embrace new and emerging technologies Understanding of probabilistic models and the mathematical concepts underpinning machine learning Familiarity with Agile methodologies Preferred skills & experience: Experience integrating machine learning solutions into production software and More ❯

rate, approval rates, customer friction, economic profit, and loss rates. We leverage the wealth of Amazon’s information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon’s technological infrastructure to display the right More ❯

are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines More ❯

are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines More ❯

table. About you ML Experience: You've deployed ML models at scale and have a good understanding of state-of-the-art regression and probabilistic models. Technical Skills: You're proficient in Python (pandas, scikit-learn, fastAPI/flask, pydantic, DVC) and SQL. You also have a strong knowledge More ❯

scale * Excellent communication skills and ability to collaborate across regions Desirable Experience: * Background in cloud cost optimization, billing intelligence, or FinOps tooling * Exposure to probabilistic models, forecasting techniques, or causal inference * Experience with feature stores, model registries, and real-time inference * Familiarity with Snowflake, Airflow, or modern data lakehouse More ❯

scale * Excellent communication skills and ability to collaborate across regions Desirable Experience: * Background in cloud cost optimization, billing intelligence, or FinOps tooling * Exposure to probabilistic models, forecasting techniques, or causal inference * Experience with feature stores, model registries, and real-time inference * Familiarity with Snowflake, Airflow, or modern data lakehouse More ❯

scale * Excellent communication skills and ability to collaborate across regions Desirable Experience: * Background in cloud cost optimization, billing intelligence, or FinOps tooling * Exposure to probabilistic models, forecasting techniques, or causal inference * Experience with feature stores, model registries, and real-time inference * Familiarity with Snowflake, Airflow, or modern data lakehouse More ❯

end. Independent research and innovation in new content and technological domains. Taking a leading role in projects such as recommendation systems, churn and uplift modelling, real-time predictions, handling live streaming data, users clustering and personalization, product A/B continuous optimization, and many others. Who we are looking …/Engineering or a related field with a focus on applied statistics, AI, machine learning, or related fields with experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas More ❯

of these countries without the need for work sponsorship. Responsibilities: Utilize, develop, and enhance simulation tooling and infrastructure to enable faster-than-real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with … using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL More ❯

of these countries without the need for work sponsorship. Responsibilities: Utilize, develop, and enhance simulation tooling and infrastructure to enable faster-than-real-time modelling of 1,000+ autonomous agents for various use cases such as fleet optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with … using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent RL environments (MARL More ❯

redefine primary care while helping people live happier, healthier, and longer. Job Summary: We’re seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone … Remote/Hybrid/[USA-SF, USA-remote, UK-London, UK-remote] Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable … probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and More ❯

redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone … Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable … probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and More ❯

Sports betting Hedge fund Company based in London. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company around creating the best possible technical and cultural environment to enable you to … test alternative models. You will join a highly skilled and experienced team answering a variety of complex sporting questions. You will work on building probabilistic models, the quality and evolution of which are central to the company’s success. You will find innovative ways of extracting information from various … sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems. As Quantitative Researcher you will need: · 3+ years expereince within sports betting industry. · Statistics graduate/ More ❯

Sports betting Hedge fund Company based in London. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company around creating the best possible technical and cultural environment to enable you to … test alternative models. You will join a highly skilled and experienced team answering a variety of complex sporting questions. You will work on building probabilistic models, the quality and evolution of which are central to the company’s success. You will find innovative ways of extracting information from various … sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems. As Quantitative Researcher you will need: · 3+ years expereince within sports betting industry. · Statistics graduate/ More ❯