DemandTrendPermanent Generative AI Jobs in Watford

2 of 2 DemandTrendPermanent Generative AI Jobs in Watford

Data Engineer - AI Projects

watford, hertfordshire, east anglia, united kingdom
Hybrid / WFH Options
Henderson Scott
Data Engineer - Generative AI Projects 📍 Hybrid | 2-3 Days On-Site | Up to £55,000 + Bonus + Package 🔒 British Citizens Only | BPSS Clearance Required We're hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI and NLP tools in a secure, high-tech organisation working on projects that matter. If you're keen to work on innovative internal use-cases - from AI assistants to intelligent search and document automation - this is the perfect next step. 🔧 What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with … internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple teams and functions 🧠 What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python More ❯
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AI/ML and Data Science Developer

watford, hertfordshire, east anglia, united kingdom
Harrington Boyd
AI/ML and Data Science Developer Hybrid - Stevenage 3/4dpw £70,000 - £80,000 About the Role: We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop, and deploy advanced AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make … a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and More ❯
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