14 of 14 Machine Learning Jobs in Bournemouth

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 ❯

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 ❯

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 ❯

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 ❯

C++/Java/Python/R. Use of code configuration management toolsets. Knowledge of one or more of the following: Artificial Intelligence and Machine Learning methodologies and tools. Simulation tools and methods relevant to supply chain modelling. Real time data collection and processing techniques relevant to supply 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 ❯

significant autonomy, allowing you to shape your own path and make impactful decisions with direct access to a senior leadership team who value continuous learning and will provide the freedom to explore new ideas and grow your skills. About the person: The successful candidate must have, and your application … data visualisation* Demonstrable experience in data analytics* Knowledge of systems integration including the use of automation tools such as the Power Platform* Understanding of Machine Learning and AI technologies. * * = May be demonstrated through the completion of a module, student project or placement. Applicants should indicate how their experience More ❯

Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in More ❯

as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module, student project or placement. More ❯

cost savings. Champion cloud-native solutions, such as serverless computing, containerization, and microservices. Cultivate a learning environment around emerging technologies like AI/ML, IoT, and edge computing within the cloud landscape. Cloud Automation & Tools Advocate for automation, DevOps practices, and Infrastructure as Code (IaC) to streamline cloud operations. … professionals, including architects, security experts, and engineers. Mentor and guide teams on cloud best practices, tools, and platforms. Foster an environment of accountability, continuous learning, and innovation. Vendor & Stakeholder Collaboration Work with external cloud providers (AWS, Azure, GCP) and other partners to maximize business value from cloud investments. Communicate … Expert, Google Cloud Architect). Experience in cloud-native design, serverless computing, and container orchestration (Docker, Kubernetes). Familiarity with data lakes, AI/ML infrastructure, and analytics in cloud environments. Knowledge of cloud security and compliance standards (e.g., ISO, SOC, GDPR) and cost management practices. For more information, please More ❯