11 of 11 Remote/Hybrid Feature Engineering Jobs in London

work on Build and improve ML/AI models that solve measurable business problems Take ownership of end-to-end workflows: data ingestion → feature engineering → modelling → evaluation → deployment Run experiments, quantify impact, and iterate fast (including A/B testing where appropriate) Partner with engineering and product … modern ML tooling What we’re looking for A recently completed Master’s degree (Russell Group preferred) in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar Excellent Python skills and ML foundations (e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics ...

Assist in developing and evaluating predictive and analytical models using statistical and machine learning techniques 🛠 Support data pipelines, including data collection, cleaning, and feature engineering 📊 Create dashboards, visualisations, and reports that translate data into clear, actionable insights 🤝 Work closely with analysts, engineers, and stakeholders to support data-driven ...

other AI applications. Experiment with algorithms and optimize hyperparameters for performance. Data Preparation Collect, clean, and preprocess large datasets for training and validation. Implement feature engineering and data augmentation techniques. Integration & Deployment Develop APIs or services to integrate ML models into production systems. Work with MLOps tools … practices. Implement bias detection and mitigation strategies. Your Profile Essential Skills/Knowledge/Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/ ...

services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases Strong grasp of CI/CD practices for ML deployment Why Join Us: Work with niche datasets and cutting-edge tech ...

Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions Contribute to the development of data pipelines and feature engineering workflows Integrate models into production using APIs, batch jobs, or real-time systems Apply best practices around experimentation, evaluation, versioning, and monitoring ...

Outside IR35 Clearance: Active SC Clearance required Email : henry.clay-davies@searchability.com Phone : 07719 065951 Overview We are seeking an experienced Data Science/Data Engineering Contractor to join a high-impact programme based in London, working on advanced data-driven and LLM-enabled platforms. This is an outside IR35 … data solutions Ensure data solutions meet security, performance, and maintainability standards expected in secure environments Required Skills & Experience Strong commercial experience in data engineering and/or data science roles Hands-on experience building data pipelines and AI-enabled workflows using LangChain and/or LangGraph Excellent Python development ...

Develop and support analytical and statistical models using Python 🛠 Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering ☁️ Use AWS services to support data storage, processing, and analytics workflows 🗄 Query and manipulate structured datasets using SQL 📊 Build reports, dashboards, and visualisations that … tailored to experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field 💼 0–2 years of experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong ...

things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. … Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using ...

advanced graph analytics models and algorithms to uncover patterns, anomalies and relationships within large-scale graph datasets. Collaborate with cross-functional teams including product, engineering, and business stakeholders to understand data requirements and deliver impactful solutions. Implement and optimise graph databases and graph processing frameworks (e.g., Neo4j). Develop … predictive models using machine learning techniques tailored for graph-structured data (e.g., node classification, link prediction, community detection). Perform data pre-processing, feature engineering, and exploratory data analysis on structured and unstructured datasets. Communicate complex data insights clearly and effectively to technical and non-technical audiences. Mentor ...

optimisation project. You will design and implement predictive and prescriptive models for Maintenance, Repair, Overhaul AI Solutions. Performing exploratory data analysis and feature engineering. Collaborate with Data Engineers to ensure data readiness for modelling. Communicate findings and recommendations to business stakeholders. Continuously improve models based on feedback and operational ...

redaction middleware, retrieval allow-lists, and per-use-case policies. Add evaluation gates for answer quality and safety in pipelines, implement canary deployments with feature flags, and automate rollbacks on drift. Manage the lifecycle of models, including fine-tuning with consented datasets, synthetic augmentation policies, and maintaining model registry … GenAI solutions in production. Additional Skills & Qualifications A broader understanding of machine learning algorithms. Exposure to multimodal AI (text + vision, speech). Data engineering and analysis skills including ETL pipelines and feature engineering. Familiarity with MLOps/DevOps pipelines, monitoring, and retraining. Understanding of knowledge graphs, embeddings ...