10 of 10 Permanent Feature Engineering Jobs in Central London

evaluate predictive models using statistical, machine learning, and analytical techniques 🛠 Support the design and maintenance of data pipelines — from data collection and cleaning to feature engineering 📊 Build visualisations, dashboards, and reports that turn data into clear business insights 🤝 Collaborate with cross-functional teams including analysts, engineers, and product … Python skills and exposure to analytics/ML frameworks such as pandas, NumPy, scikit-learn, or TensorFlow 🧮 Solid understanding of statistical methods, data wrangling, feature engineering, and model evaluation 🗄 Confidence working with SQL and large datasets ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools ...

region and Tech Unicorn. Position Summary: We are looking for a highly experienced Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating … monitoring systems to ensure performance, reliability, and fairness. Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale. Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models. Integrate trust and explainability into model design, generate confidence scores ...

region and Tech Unicorn. Position Summary: We are looking for a highly experienced Machine Learning/Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions … monitoring systems to ensure performance, reliability, and fairness. Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale. Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models. Integrate trust and explainability into model design, generate confidence scores ...

Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic … Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including ...

Senior Data Scientist to take a leading role across a portfolio of technically demanding projects. You’ll operate end-to-end - shaping problem definitions, engineering data pipelines, developing advanced models, and ensuring outputs are robust, explainable and deployable in real-world settings. This is a hands-on role … impact. Key Responsibilities Translating complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. ...

experience (professional or academic) applying analytics to solve real-world business problems. End-to-End Data Science: Practical knowledge across the full lifecycle—from feature engineering and model design to validation, deployment, and monitoring. Technical Proficiency: Fluency in Python, SQL, or similar languages, and experience with deep learning ...

value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/… with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship ...

value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead … with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship ...

linked data science solutions. Working closely with data engineers to define data requirements and pipelines. Performing exploratory data analysis and recreating key business KPIs. Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards. Developing, deploying and maintaining machine learning models. Evaluating project impact through experimentation ...

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 ...