Location: London(Hybrid role)
Employment Type: 12 months contract
Role Overview
We are seeking a versatile Data Scientist to lead the end-to-end development of AI solutions, with a heavy focus on Generative AI and Large Language Models (LLMs). You will bridge the gap between business requirements and technical execution, overseeing the entire lifecycle from initial scoping and data engineering to model deployment and prompt optimization.
Key Responsibilities
Business Alignment: Partner with stakeholders to define project scope, translate business problems into technical specs, and establish clear KPIs.
Data Architecture: Design robust pipelines for data collection, cleaning, and preprocessing to ensure high-quality inputs for ML models.
Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies.
Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors.
Evaluation & Optimization: Define metrics (Precision, Recall, F1) and design reports to track performance, continuously refining models through hyperparameter tuning and architectural adjustments.
Deployment & Monitoring: Collaborate with engineers to push models into production and establish automated monitoring systems to track drift and performance.
Technical Requirements
Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks.
Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models.
Engineering: Proficiency in Python and experience designing data pipelines and MLOps workflows.
Communication: Ability to translate complex technical findings into actionable insights for non-technical stakeholders.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
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