10 of 10 Machine Learning Jobs in Dorset

study package to enable the actuarial qualification to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning; you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on … modelling and then implementation in rating Analysing data, interpreting output and communicating results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Supporting the … but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages More ❯

with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Develop and coach Pricing Analysts. Develop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictiveness. Deliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while exploring … prepare recommendations for senior stakeholders. Deploy and review rates in the live rating engine. Maintain and apply models of customer and market behaviour, incorporating machine learning into behavioural models. Combine MI, modelling results, and company targets to develop a balanced view of current and future pricing performance. Maintain More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Expertise in application, data and infrastructure architecture disciplines Preferred qualifications, capabilities, and skills Experience with user interface technologies and languages More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

of agile methodologies such as CI/CD, application resiliency, and security. Knowledge of software applications and technical processes within disciplines like cloud, AI, machine learning, mobile, etc. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies. Exposure to cloud technologies. About the Team J.P. Morgan More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of using and deploying to public cloud Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure More ❯

as CI/CD, Applicant Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred Qualifications, Capabilities, and Skills Familiarity with modern back-end technologies. Exposure to cloud technologies. About the Team J.P. More ❯

deliver high quality code that meets customers requirements Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience working with messaging systems: Kafka, MQ, SQS Exposure to cloud technologies (Kubernetes/AWS More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

or more of the following areas: Acoustic Data Analysis Operational Analysis Performance Modelling Signal Processing or Algorithm Development Fluid Dynamics or Finite Element Analysis Machine Learning/AI Applications Pay range and compensation package Flexible working options, including hybrid arrangements and a 9-day fortnight. Early Friday finishes More ❯