18 of 18 Permanent Feature Engineering Jobs in England

working across the full ML lifecycle—from design through to production—in a modern, AWS-based environment. You'll be part of an engineering and data team tackling projects like LLM development, intelligent automation, semantic search, and recommendation systems. There's real scope here to influence how MLOps … doing: Building and deploying ML models and LLM applications Fine-tuning large language models for specific use cases Working with prompt engineering and RAG systems Creating end-to-end ML pipelines—ingestion, feature engineering, deployment Developing LLM-powered tools: chatbots, automation, content generation Implementing MLOps practices: versioning ...

performance, and retrain models as needed. You'll bring a passion for building reliable ML infrastructure, a strong technical foundation in modern machine learning engineering, and a track record of working in environments where reliability and scale are paramount. Our Data & Analytics team has grown significantly over the last … monitoring, and retraining at scale. Working with data scientists to take models from development to production-grade systems, ensuring scalability, reproducibility, and robustness. Automating feature engineering and data pipeline processes, ensuring reproducibility and auditability. Implementing monitoring and observability to detect drift, bias, and performance degradation, and setting ...

performance, and retrain models as needed. You'll bring a passion for building reliable ML infrastructure, a strong technical foundation in modern machine learning engineering, and a track record of working in environments where reliability and scale are paramount. Our Data & Analytics team has grown significantly over the last … monitoring, and retraining at scale. Working with data scientists to take models from development to production-grade systems, ensuring scalability, reproducibility, and robustness. Automating feature engineering and data pipeline processes, ensuring reproducibility and auditability. Implementing monitoring and observability to detect drift, bias, and performance degradation, and setting ...

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 ...

real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from … TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance ...

pipelines across tabular, time-series, NLP, or multimodal data Design and implement robust validation strategies, experiment frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams Translate modeling … outcomes into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale Present findings through well-structured dashboards, reports, and documentation Qualifications Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition ...

pipelines across tabular, time-series, NLP, or multimodal data Design and implement robust validation strategies, experiment frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams Translate modeling … outcomes into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale Present findings through well-structured dashboards, reports, and documentation Qualifications Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition ...

pipelines across tabular, time-series, NLP, or multimodal data Design and implement robust validation strategies, experiment frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams Translate modeling … outcomes into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale Present findings through well-structured dashboards, reports, and documentation Qualifications Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition ...

pipelines across tabular, time-series, NLP, or multimodal data Design and implement robust validation strategies, experiment frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams Translate modeling … outcomes into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale Present findings through well-structured dashboards, reports, and documentation Qualifications Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition ...

pipelines across tabular, time-series, NLP, or multimodal data Design and implement robust validation strategies, experiment frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams Translate modeling … outcomes into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale Present findings through well-structured dashboards, reports, and documentation Qualifications Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition ...

Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning ...

Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning ...

uses machine learning to turn business insights into business success. As a Machine Learning Engineer, you'll sit at the intersection of data science, engineering, and commercial strategy, working closely with our product and core engineering teams to translate business challenges into deployable ML solutions. You'll have … focussed, product led business. In return this ML Engineer will receive extensive growth and personal development opportunities as the business transitions away from legacy engineering practices. This ML Engineer based near Birmingham should have most of the following key skills: - Demonstrated experience delivering business impact and growth through ...

offers the chance to make a significant impact within an innovative, tech-driven organisation. You'll work at the forefront of data modelling, analytics engineering, and AI-enablement, helping shape scalable data products that power enterprise reporting, machine learning, and self-service insights. Senior Analytics Engineer/Data Modeller … data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement ...

acquisition efficiency), providing critical insights to our marketing and commercial teams. Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment. Partner with our Machine Learning and Software Engineering teams to deploy your ...

Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. … with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across ...

Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams ...

Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams ...