data Scientist - Lorien Impellam
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Added before 3 hours
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
AI/ML Data Scientist / ML Engineer - 3-Month Contract
Location: London or Edinburgh (Hybrid)
Sector: Leading UK Bank
Contract: 3-month initial contract (potential extension)
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-including 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.
Location: London or Edinburgh (Hybrid)
Sector: Leading UK Bank
Contract: 3-month initial contract (potential extension)
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-including 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.
Job number 3464057
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