4 of 4 Remote Machine Learning Jobs in Bexhill-On-Sea

Scientist in the Market Pricing team, you will be reporting to the Head of Market Pricing, working closely with the Home Underwriting team, Home Retail Pricing team, Data and ML Engineering teams. You will play a pivotal role in the development and deployment of machine learning models and data science solutions to extract the crucial predictive insight that … guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation. Key Responsibilities Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing. Stretching the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies. Working cross-functionally with the wider … software development best practices. Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities. Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. More ❯

improve customer engagement. As a Principal AI Engineer, you will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders … exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g.Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues More ❯

and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity More ❯

and improve customer engagement. As a Senior AI Engineer within the Technology Engineering team in CIO, you will play a pivotal role in designing, developing, and deploying AI and machine learning solutions that address real-world business challenges. You will work closely with cross-functional teams-including Data Science, Engineering, Product, and Business stakeholders-to identify opportunities for … engineers, promote reusability of AI components, and support the continuous improvement of AI engineering practices across the organisation. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using More ❯