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 optimising data for modelling.
* Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring.
* Research and apply the latest advancements in Generative AI and data science.
* Support model evaluation, logging, and performance tuning across GPU-based environments.
* Collaborate with stakeholders to gather requirements and deliver solutions aligned to business needs.
* Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility.
Key Skills & Experience:
* 4–5 years' experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI.
* Proven experience fine-tuning and deploying open-source LLMs.
* Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning).
* Solid background in data preprocessing, wrangling, and feature engineering.
* Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
* Experience with prompt engineering and model evaluation.
* Deployment experience using Docker or other containerisation tools.
* Exposure to GPU-based environments for large-scale model training and tuning.
* Experience with big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus.
* Strong analytical mindset with the ability to translate data into actionable insights.
If you or someone you know of might be interested, please contact and ask for Ben.