8 of 8 Feature Engineering Jobs in Slough

Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating … learning What We're Looking For: A recently completed Master's degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills ...

will be responsible for designing, building, and maintaining data pipelines and infrastructure that enable the development and deployment of machine learning models and drive engineering excellence and collaborate closely with data scientists, and lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large … systems (e.g., PySpark, Hadoop). Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation. Automation: Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine learning models ...

Generative AI models for predictive analytics and marketing applications. Explore solutions using LLMs, embeddings, and RAG pipelines. Collaborate with data engineers on data quality, feature engineering, and pipeline optimization. Translate business needs into analytical solutions and communicate findings effectively. Requirements Bachelor's or Master's in Data Science ...

frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. Knowledge of cloud architecture, data engineering, and security best practices. Design and implement ML pipelines on Azure Machine Learning. Own end-to-end model lifecycle: data ingestion, feature engineering ...

collaborate closely with marketing and sales while ensuring we meet high standards for data privacy and compliance. Expect a wide variety of engineering challenges, including: Building and maintaining data pipelines using Python and SQL Developing internal tools and REST APIs Integrating with third-party APIs Feature engineering … someone who thrives in a dynamic, sometimes unstructured environment and enjoys full ownership of their work. What We're Looking For Essential Strong Python engineering experience Solid SQL skills Comfortable working autonomously in a fast-moving environment Bonus Points For Expertise with SQLAlchemy, scikit-learn, pandas, PostgreSQL Experience building ...

creatively apply data science to deliver ROI. Hands-on experience building and evaluating machine learning models (e.g., clustering, NLP, deep learning). Proficiency in feature engineering and data discovery for model development. Familiarity with AI tooling such as fine-tuning, retrieval-augmented generation (RAG), and agentic workflows. Excellent ...

will: Design realistic data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data inputs ...

champion their adoption across teams. Responsibilities •Act as a data strategist to identify, integrate, and leverage new data sources through product capabilities. •Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. •Execute analytical experiments to address challenges across multiple business domains. •Mine … science or a related field. •Proven expertise in data mining, statistical modelling, and machine learning techniques. •Advanced experience in pattern recognition, predictive modelling, and feature engineering. •Proficiency in Python and SQL, and a solid grasp of software engineering best practices. •Strong understanding of data structures, model evaluation ...