

Harnham
AI Engineer (FTC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer (FTC) with a 12-month contract in London (Hybrid). Pay rate is competitive. Key skills include strong data science experience, classical machine learning, LLMs, and CI/CD. Experience in regulated environments is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
409
-
🗓️ - Date
May 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#Scala #Cloud #ML (Machine Learning) #Deployment #Monitoring #AI (Artificial Intelligence) #Data Science
Role description
12 Month FTC Role
Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)
This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.
The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.
Key responsibilities include:
• Owning and delivering machine learning and AI projects from problem definition to production.
• Designing models from scratch across both structured and unstructured data use cases.
• Building and deploying LLM based solutions including summarisation and agentic workflows.
• Delivering traditional machine learning models using techniques such as gradient boosting.
• Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
• Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
• Taking responsibility for monitoring, performance, and ongoing improvement of live models.
Your Skills and Experience
• Strong commercial data science experience with a solid grounding in classical machine learning.
• Hands on experience deploying and owning models in production environments.
• Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
• Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
• Confident working end to end, from exploratory analysis through to scalable deployment.
• Comfortable operating in regulated or complex environments.
• Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.
Please note, this is a 12 month FTC
Desired Skills and Experience
XGBoost, CATBoost, LLMs, CI/CD
12 Month FTC Role
Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)
This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.
The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.
Key responsibilities include:
• Owning and delivering machine learning and AI projects from problem definition to production.
• Designing models from scratch across both structured and unstructured data use cases.
• Building and deploying LLM based solutions including summarisation and agentic workflows.
• Delivering traditional machine learning models using techniques such as gradient boosting.
• Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
• Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
• Taking responsibility for monitoring, performance, and ongoing improvement of live models.
Your Skills and Experience
• Strong commercial data science experience with a solid grounding in classical machine learning.
• Hands on experience deploying and owning models in production environments.
• Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
• Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
• Confident working end to end, from exploratory analysis through to scalable deployment.
• Comfortable operating in regulated or complex environments.
• Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.
Please note, this is a 12 month FTC
Desired Skills and Experience
XGBoost, CATBoost, LLMs, CI/CD






