4 of 4 Remote Machine Learning Jobs in Midlothian

the Data Scientist, you'll play a crucial role in enhancing and optimising this platform. You'll work directly with spectral data, contribute to machine learning models, and help ensure the system continues to deliver high-value insights for real-world applications. Key Responsibilities: Analyse complex infrared spectroscopy … datasets Build and refine machine learning models for organism identification Expand and maintain a large-scale, cloud-hosted spectral database Collaborate closely with biologists and software engineers Translate scientific data into practical, user-friendly outputs Key experience needed: Strong background in data science (Python, R, etc.) Experience working More ❯

as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse … in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be More ❯

analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the More ❯

classification, segmentation, and bounding box performance at scale Leveraging expert-labelled datasets to build high-accuracy visual models Building and optimising workflows in Azure Machine Learning (AML) for both dev and prod Develop and execute best practices for experimentation enabling the team to make data informed decisions Contributing … value Hands-on experience with Azure , yolo , and OpenCV Proven track record training custom image models on real-world datasets Experience deploying to Azure ML production pipelines Experience with LLMs in production settings Strong understanding of model evaluation, data quality, and performance tuning Bonus: Experience in insurance, housing, construction, or More ❯