
SaaS ⢠B2B ⢠Consulting
Olive Jar Digital is one of the UKâs fastest growing, award-winning digital consultancies, championing managed digital delivery services and the provision of expert talent to enhance your team, satisfying your user needs. They offer services in digital transformation, cloud computing, business intelligence, and data analytics. The company provides individual consultants or full agile teams with a wide range of specialist skills to fulfill diverse delivery needs. Olive Jar Digital is dedicated to helping businesses scale up by managing projects from discovery to live launch, ensuring quality and adherence to budget and timelines as part of a collaborative approach.
11 - 50 employees
Founded 2015
âď¸ SaaS
đ¤ B2B
5 hours ago

SaaS ⢠B2B ⢠Consulting
Olive Jar Digital is one of the UKâs fastest growing, award-winning digital consultancies, championing managed digital delivery services and the provision of expert talent to enhance your team, satisfying your user needs. They offer services in digital transformation, cloud computing, business intelligence, and data analytics. The company provides individual consultants or full agile teams with a wide range of specialist skills to fulfill diverse delivery needs. Olive Jar Digital is dedicated to helping businesses scale up by managing projects from discovery to live launch, ensuring quality and adherence to budget and timelines as part of a collaborative approach.
11 - 50 employees
Founded 2015
âď¸ SaaS
đ¤ B2B
⢠Analyse data sources, validate problem statements, and highlight gaps or dependencies. ⢠Build, refine, and iterate machine learning models and AI prototypes. ⢠Contribute to technical design documentation (model choices, data pipelines, architecture). ⢠Evaluate models using success metrics, KPIs, performance analysis and bias checks. ⢠Support functional, regression and performance testing for models and prototypes. ⢠Collaborate with engineers on deployment pipelines, telemetry, and automated testing. ⢠Produce clear documentation and contribute to playback sessions and assessment reports.
⢠Strong hands-on experience in data science and machine learning. ⢠Skilled in model development, evaluation, and iterative experimentation. ⢠Ability to collaborate effectively with multidisciplinary teams. ⢠Clear communication of technical insights to both technical and non-technical audiences. ⢠Experience with NLP, LLMs, vector search or intelligent search tools. ⢠Familiarity with cloud environments and CI/CD pipelines. ⢠Exposure to Discovery/Alpha delivery or rapid prototyping.
⢠25 Days Annual Leave per annum (plus 8 Bank Holidays as standard) ⢠Health Insurance ⢠Pension Scheme ⢠Annual Bonus Scheme ⢠Electric Car Scheme
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