13 of 13 Permanent Feature Engineering Jobs in the East of England

and translate them into scalable AI/ML and data-driven solutions. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using More ❯

and translate them into scalable AI/ML and data-driven solutions. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Deploy models to production environments, ensuring … technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is More ❯

not all, of the following areas: Statistics, Machine Learning, Deep Learning & AI. You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment. What's equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, or Spark. You'll also need the capability to More ❯

to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each More ❯

markets. Build, train, and refine ML-based models for algorithmic trading. Collaborate with a skilled international team. Must-Have: Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields. Experience: Building production-grade trading system based on ML algorithms. Expertise in financial data analysis, feature engineering, back-testing, and deploying models. Developing crypto More ❯

Director, Principal AI/NLP Engineer Introduction to Role: Are you ready to apply your AI/NLP engineering skills in a place where curiosity thrives and groundbreaking work is done? Join our AI Engineering team at AstraZeneca in Cambridge (UK) and be part of a company that follows the science unlike anywhere else! At AstraZeneca, we connect … you will develop and deploy NLP models and algorithms to extract insights from unstructured text data. You will design and implement end-to-end NLP pipelines, including data preprocessing, feature engineering, model training, and evaluation. Collaborating with multi-functional teams, you will understand client requirements and develop customized NLP solutions to address their specific needs. By staying up … Communication and Teamwork: Superior teamwork and communication skills, with a demonstrated ability to mentor and lead teams. - Hands-on Data Expertise: Extensive hands-on experience with data preprocessing techniques, feature engineering, and model evaluation. - Proven Project Delivery: A proven track record of successfully delivering NLP projects in academia or/and industry. - Experience with LLMs and Generative AI More ❯

AI/ML use cases. You'll work with diverse datasets spanning prepaid, financial services, gambling, and payments, supporting business-critical decisions with high-quality, well-structured data. While engineering will be your focus, you'll also need to collaborate across analytics and product functions-comfortable switching between roles to meet team goals. This role includes occasional global travel … the role: Data Pipeline Development: Build and maintain batch and streaming pipelines using Azure Data Factory and Azure Databricks. Data Categorisation & Enrichment: Structure unprocessed datasets through tagging, standardisation, and feature engineering. Automation & Scripting: Use Python to automate ingestion, transformation, and validation processes. ML Readiness: Work closely with data scientists to shape training datasets, applying sound feature selection techniques. … Data Validation & Quality Assurance: Ensure accuracy and consistency across data pipelines with structured QA checks. Collaboration: Partner with analysts, product teams, and engineering stakeholders to deliver usable and trusted data products. Documentation & Stewardship: Document processes clearly and contribute to internal knowledge sharing and data governance. Platform Scaling: Monitor and tune infrastructure for cost-efficiency, performance, and reliability as data More ❯

database networking, maintaining data security, and configuring user access and authentication protocols in a modern data warehouse. Proficiency in Python, git, SQL, AWS and Snowflake. Strong understanding of data engineering best practices, and experience with data pipelines, data structures, data platforms, data integration and data governance. It would be a plus if you also possess previous experience in: Experience … building and managing AWS cloud infrastructure. Experience in feature engineering for data consumption by AI Applications. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯

their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for … Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s on Offer A More ❯