AI Engineer

Medpace; London; On-site; GBP 50,000 - 85,000; Full time

Job summary

Medpace, a leading clinical contract research organization, is seeking an experienced professional in Artificial Intelligence to improve clinical trial processes. The role involves designing and deploying machine learning systems, requiring a strong background in data science and AI tools. Join a passionate team making a difference in healthcare technology.

Benefits

Flexible work environment

Competitive compensation and benefits package

Structured career paths with opportunities for professional growth

Company-sponsored employee appreciation events

Employee health and wellness initiatives

Qualifications

• Experience in AI tools and machine learning algorithms required.
• At least 1 year post-graduate experience preferred.
• Strong communication skills needed for cross-functional team collaboration.

Responsibilities

• Design, implement, and deploy machine learning models.
• Research and develop AI tools like NLP and LLM.
• Optimize machine learning pipelines and workflows.

Skills

Machine Learning

NLP

Artificial Intelligence

Data Analysis

Attention to Detail

Education

Bachelor’s degree in Artificial Intelligence, Computer Science or related field

Master’s degree in relevant field

Tools

Python

TensorFlow

PyTorch

Job description

Do you have a passion for Artificial Intelligence (AI) and are looking to make a difference in how the latest clinical trials progress into the market?

Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems?

If so, we have an exciting opportunity for you at Medpace.

We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications.

This professional will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users.

Responsibilities

• Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes;
• Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems;
• Research, develop, and implement AI tools such as NLP, LLM, and IA;
• Collect, preprocess, and curate large datasets required for training generative models;
• Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning;
• Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and
• Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments.

Qualifications

• Bachelor’s degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master’s degree preferred;
• Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience);
• Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
• Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI;
• Excellent communication skills to collaborate effectively with cross-functional teams;
• A passion for staying up-to-date with the latest advancements in NLP and AI technologies; and
• Analytical thinker with great attention to detail.

Medpace Overview

Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries.

Why Medpace?

People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today.

The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future.

Medpace Perks

• Flexible work environment
• Competitive compensation and benefits package
• Competitive PTO packages
• Structured career paths with opportunities for professional growth
• Company-sponsored employee appreciation events
• Employee health and wellness initiatives

Awards

• Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024
• Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility

What to Expect Next

A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

EO/AA Employer M/F/Disability/Vets

• Bachelor’s degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master’s degree preferred;
• Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience);
• Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
• Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI;
• Excellent communication skills to collaborate effectively with cross-functional teams;
• A passion for staying up-to-date with the latest advancements in NLP and AI technologies; and
• Analytical thinker with great attention to detail.

• Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes;
• Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems;
• Research, develop, and implement AI tools such as NLP, LLM, and IA;
• Collect, preprocess, and curate large datasets required for training generative models;
• Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning;
• Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and
• Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments.