At a Glance
- Tasks: Design and implement AI tools to revolutionise clinical trials and enhance business outcomes.
- Company: Join Medpace, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy flexible work, competitive pay, and great career growth opportunities.
- Other info: Be part of a dynamic team focused on cutting-edge AI advancements.
- Why this job: Make a real impact in healthcare by advancing AI technologies.
- Qualifications: Degree in AI or related field; experience with NLP and machine learning required.
The predicted salary is between 60000 - 80000 € per year.
Location: London
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
- 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
- Analytical thinker with great attention to detail
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
AI Engineer employer: Medspace
Medpace is an exceptional employer for AI Engineers, offering a dynamic and flexible work environment in the heart of London. With a strong focus on employee growth through structured career paths and professional development opportunities, Medpace fosters a collaborative culture that encourages innovation and teamwork. Additionally, employees benefit from competitive compensation, generous PTO packages, and wellness initiatives, making it a rewarding place to advance your career in artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving NLP or LLM. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and algorithms. Practice explaining your past projects and how they relate to the role. Confidence and clarity can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI tools like NLP and LLM, and don’t forget to showcase any relevant projects or achievements that demonstrate your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to Medpace. Be specific about why you want to work with us and how your background aligns with our mission.
Showcase Your Technical Skills:We love seeing technical proficiency! Make sure to list your programming languages and frameworks, especially Python, TensorFlow, and PyTorch. If you've worked on machine learning models, share those experiences too!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Medspace
✨Know Your AI Tools
Make sure you’re well-versed in the AI tools mentioned in the job description, like NLP and LLM. Brush up on your experience with these technologies and be ready to discuss specific projects where you’ve implemented them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems using machine learning models. Think of examples that highlight your analytical thinking and attention to detail, as these are key traits for the role.
✨Collaborate Like a Pro
Since the role involves working with multiple teams, be ready to share experiences where you’ve successfully collaborated across different departments. Highlight your communication skills and how they helped achieve project goals.
✨Stay Updated on AI Trends
Demonstrate your passion for AI by discussing recent advancements or trends in the field. This shows that you’re not just knowledgeable but also genuinely interested in the future of AI technology.
