Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
BJSS
approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machinelearning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Pentasia
quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machinelearning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »
Blyth, Northumberland, North East, United Kingdom Hybrid / WFH Options
Tharsus Limited
teams to ensure there is a clear understanding of project goals and requirements. Finally, as an enthusiastic learner, you will be on a continuous learning cycle, What you will bring Youre a recent graduate passionate about applying your knowledge to solve complex, real-world problems and innovate systems that … advance global infrastructure. In our collaborative environment, you'll have the freedom to explore ideas and contribute to creating cutting-edge simulations, algorithms, and machinelearning-based solutions. You will have: A recent degree in Mathematical Sciences, Computer Science, Physics or a related field. Some practical experience from more »
environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement skills to support requirements gathering more »