14 of 14 Feature Engineering Jobs in Scotland

looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook … ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake ...

Senior AI Engineer (Autonomy & Machine Learning) ALTEN is a global engineering and technology consultancy operating across over 35 countries worldwide. We partner with industry leaders across sectors including Aeronautics, Aerospace, Defence, Naval, Automotive, Energy, Rail, IT and many more to deliver innovative engineering solutions that drive technological advancement … edge artificial intelligence and machine learning capabilities that support high‐impact programmes across the defence and aerospace sectors. Working as part of a multidisciplinary engineering team, you’ll design, build and deploy robust AI solutions, helping customers unlock the value of their data while driving innovation across advanced autonomy ...

solutions, not point solutions. Process modelers remain the process experts and co‐own the models. You bring the AI modeling and engineering that makes building, deploying and using models 10x more efficient. You bring deep, hands‐on AI/engineering expertise and the judgement to turn ambiguous technical … first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI‐Native Engineering Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

analytics team & Tech partners in research to define the knowledge system, the agentic layer across the enterprise. You bring deep, hands‐on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production‐grade systems, while mentoring the engineers around you. Key Responsibilities PoC/… first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI‐Native Engineering Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

business teams. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non‐technical business partners. Major Job Responsibilities and Related Duties: Collection, cleaning, and pre‐processing of data for solving business … findings. Collaborate with stakeholders to define requirements and deliverables. Ownership of documentation related to datasets, model selection, training experiments, and inference workflows. Collaborate with engineering teams to integrate ML models into production systems. Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring ...

with minimal oversight. It's not solo delivery: you'll be working closely with a dynamic team spanning ML, MLOps and software engineering, and should be happy to contribute at every level, from early-stage research through to production support. Role & Core Responsibilities Own the delivery of medium-sized … issues and model degradation as a priority. Research new ML applications and improve pre-existing models, sharing findings with the wider ML, MLOps and engineering team. Collaborate closely with product, MLOps and engineering teams to define and prepare new ML applications, contributing meaningfully to planning and grooming. Proactively ...

making embedded inside the teams instead of wasting time in wider forums, to reduce time to impact. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you. Key Responsibilities PoC/… first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI-Native Engineering Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

will work hand in hand with the automation business and tech teams across R&D and manufacturing. You bring deep, hands‐on AI/engineering expertise in Physical AI and the judgement to turn ambiguous technical problems into shipped, production‐grade systems, while mentoring the engineers around you. … first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale. AI‐Native Engineering: Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement. ...

findings. Collaborate with stakeholders to define requirements and deliverables. Ownership of documentation related to datasets, model selection, training experiments, and inference workflows. Collaborate with engineering teams to integrate ML models into production systems. Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring … Strong mathematical, analytical, and problem-solving skills. Understanding of dataset preparation, splits, data quality control, and management. Knowledge of data pre-processing and feature engineering techniques. Sound understanding of software development best practices and DevOps. Experience with version control systems like Git. Experience with cloud computing platforms like ...

practices.* Support integration of multiple data sources to create cohesive, accessible, and trusted datasets.* Contribute to the continuous improvement of data platforms, frameworks, and engineering standards.**Key Knowledge, Skills and Experience:*** Strong expertise in data science techniques, including machine learning and their application in financial services.* Proficiency in data … Spark SQL and Python/pyspark.* Understanding of data governance, security, and data quality management principles.* Experience working with large, complex datasets and performing feature engineering and data preparation.* Proven ability to translate business problems into data science solutions and deliver measurable outcomes.* Strong problem-solving capability with ...

creation of the dataset to the final model in production The competency to conduct data pre-processing and manipulation skills, as well as feature engineering Solid leadership skills to develop strategic data science initiatives, project development and management Skilled in data storytelling, visualization, analysis and critical thinking with ...

hiring a Data Scientist II for its Zonda team in Glasgow, UK. You will build, test, and deploy ML models, perform data preprocessing and feature engineering, and collaborate with engineering and product teams to deliver data-driven housing insights. You will conduct exploratory analyses, design experiments ...

detection and transaction monitoring. You’ll set technical direction and lead a team of data scientists, with responsibility for models from initial exploration and feature engineering through to deployment, monitoring and improvement. This is a leadership role with real technical involvement: reviewing Python code, challenging model design ...

detection and transaction monitoring. You'll set technical direction and lead a team of data scientists, with responsibility for models from initial exploration and feature engineering through to deployment, monitoring and improvement. This is a leadership role with real technical involvement: reviewing Python code, challenging model design ...