Overview
A leading UK bank is seeking an experienced AI/ML professional to join their cross‑functional delivery team. This role suits someone with strong hands‑on technical expertise and a track record of delivering business‑focused AI/ML solutions, including LLM‑based applications.
You'll work closely with data scientists, software engineers, and ML engineers to design, experiment, validate, and deploy production‑grade AI systems for customer‑facing applications.
Key Responsibilities
* Lead hypothesis generation, experimentation, and model validation to support new AI/ML business solutions.
* Design, run, and manage data science experiments with high standards of rigor and reproducibility.
* Build and deploy machine learning models—inclusive of LLM‑powered solutions—to solve real business problems.
* Partner with cross‑functional teams (data science, software engineering, ML engineering) to develop full end‑to‑end production systems.
* Support architectural discussions and promote best practices in ML engineering and cloud deployments.
* Maintain version‑controlled codebases and contribute to CI/CD, testing, and documentation processes.
* Provide technical direction and mentorship to team members as needed.
Required Skills & Experience
Technical Skills
* Strong expertise in Python for data science and ML engineering.
* Solid hands‑on experience with AWS, including services such as Amazon SageMaker.
* Comfortable with software version control (Git) and collaborative workflows.
* Experience with experiment tracking/management tools (e.g., SageMaker Studio, MLflow, Weights & Biases).
Machine Learning Expertise
* Proven ability to build, test, and validate hypotheses through well‑designed ML experiments.
* Hands‑on experience creating and deploying AI/ML models, including Large Language Models (LLMs).
* Understanding of MLOps principles and deploying models into production environments.
Collaboration & Delivery
* Experience working within ‑ and ideally leading ‑ cross‑functional teams.
* Ability to translate complex business challenges into practical data‑driven solutions.
* Strong communication and stakeholder engagement skills.
Desirable
* Experience in banking or financial services.
* Exposure to customer‑facing ML/AI systems.
* Familiarity with LLM fine‑tuning, evaluation frameworks, or prompt engineering.
Contract Details
* Location: London or Edinburgh
* Duration: 3‑month initial contract
* Start: ASAP
* Working model: Hybrid
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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