1 to 25 of 78 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 ...

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 ...

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 ...

discover, experiment, develop and productionise ML and AI models at Compare the Market. You'll partner closely with product, engineering and machine learning engineering to take the most important use cases from problem framing and research through to robust, measurable value in production. Set technical direction for complex … high‐priority use cases within a domain using a range of paradigms and frameworks (e.g. supervised, unsupervised, reinforcement learning, foundation models); align with Product & Engineering to deliver outcomes to agreed timelines and quality standards. Modelling, Productionisation & Standards Apply and contribute to best practices for experimentation, modelling and measurement (including ...

discover, experiment, develop and productionise ML and AI models at Compare the Market. You'll partner closely with product, engineering and machine learning engineering to take the most important use cases from problem framing and research through to robust, measurable value in production. Set technical direction for complex … high‐priority use cases within a domain using a range of paradigms and frameworks (e.g. supervised, unsupervised, reinforcement learning, foundation models); align with Product & Engineering to deliver outcomes to agreed timelines and quality standards. Modelling, Productionisation & Standards Apply and contribute to best practices for experimentation, modelling and measurement (including ...

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 ...

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 ...

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 ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...

Focus on hands‐on data science tasks, such as designing experiments Gathering and pre-processing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional … Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview ...