Feature Engineering Jobs in Central London

2 of 2 Feature Engineering Jobs in Central London

Staff Machine Learning Engineer

City Of Westminster, London, United Kingdom
Advanced Space
will be headquartered at our Westminster, Colorado offices and is primarily an on-premises position. The Machine Learning Engineer will work closely with an engineering team composed primarily of aerospace and software engineers. The ideal candidate has a strong background in software development best practices, mathematics, and statistics, as … and implement state-of-the-art machine learning algorithms and techniques Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities Perform data analysis, preprocessing, feature engineering, and model evaluation Optimize the performance, scalability, and reliability of machine learning solutions … of hands-on professional experience. Master's degree or PhD research may contribute to this experience. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field Proficient with one or more machine learning model development frameworks, especially PyTorch or TensorFlow. Familiar with the basics of More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Data Scientist

Central London, London, United Kingdom
Hybrid / WFH Options
167 Solutions Ltd
to £130,000 | Remote (UK) 167 Solutions Ltd is hiring on behalf of a leading organisation seeking a Senior Data Engineer to join their engineering team. This role is ideal for an experienced data engineer who thrives in a dynamic environment and is eager to design, develop, and maintain … Airflow, AWS Glue, and Amazon Athena . Work with cloud-native technologies to support scalable, serverless architectures. Collaborate with data science teams to streamline feature engineering and model deployment. Ensure data governance, lineage, and compliance best practices. Mentor and support team members in data engineering best practices … . Skills & Experience Required 6+ years of experience in data engineering within large-scale digital environments. Strong programming skills in Python, SQL, and Spark (SparkSQL) . Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such More ❯
Employment Type: Permanent, Work From Home
Posted: