At a Glance
- Tasks: Design and implement AI tools to revolutionise clinical trials and enhance efficiency.
- Company: Join Medpace, a leader in AI-driven healthcare solutions.
- Benefits: Enjoy flexible work, competitive pay, and great career growth opportunities.
- Other info: Collaborative environment with a focus on innovation and employee wellness.
- Why this job: Make a real impact in healthcare with cutting-edge AI technologies.
- Qualifications: Degree in AI or related field; experience with NLP and machine learning required.
The predicted salary is between 50000 - 70000 € per year.
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.
Benefits
- 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 in London employer: Medpace, Inc.
At Medpace, we pride ourselves on being an exceptional employer, offering a flexible work environment that fosters innovation and collaboration among our teams. Our commitment to employee growth is evident through structured career paths and professional development opportunities, alongside competitive compensation and benefits packages. Located in a vibrant area, we also host company-sponsored appreciation events and wellness initiatives, making Medpace a rewarding place to advance your career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and algorithms. Be ready to discuss your experience with machine learning models and how you've applied them in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI tools and programming languages like Python, TensorFlow, and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you’ve used it to solve real-world problems. We love seeing enthusiasm, so let us know why you’re excited about this opportunity at Medpace.
Showcase Your Projects:If you've worked on any AI-related projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you’ve applied your skills in practical scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Medpace, Inc.
✨Know Your AI Tools
Make sure you brush up on the specific AI tools mentioned in the job description, like NLP and LLM. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using machine learning models. Highlight your thought process and the impact your solutions had on previous projects, as this will demonstrate your analytical thinking and attention to detail.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, think of instances where you've successfully collaborated with others. Be ready to share how you communicated technical concepts to non-technical team members and how you contributed to team success.
✨Stay Updated on AI Trends
Show your passion for AI by discussing recent advancements or trends in the field. This could be anything from new algorithms to breakthroughs in AI applications. It’ll show that you’re not just knowledgeable but also genuinely interested in the industry.
