At a Glance
- Tasks: Design and deploy AI models to revolutionise clinical trials and drive impactful business outcomes.
- Company: Join Medpace, a leader in AI innovation with a focus on healthcare.
- Benefits: Enjoy flexible work, generous PTO, competitive pay, and wellness initiatives.
- Other info: Structured career paths and community involvement opportunities await you.
- Why this job: Make a real difference in healthcare by leveraging cutting-edge AI technologies.
- Qualifications: 5+ years in AI with expertise in NLP and cloud platforms required.
The predicted salary is between 70000 - 90000 £ 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.
Responsibilities:
- Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes;
- Research, develop, and implement AI tools such as NLP, LLM, and Agentic AI;
- Supervise and support the AI infrastructure needs, working with the development teams to identify and provide the best AI capabilities possible that can be embedded into front‑end applications;
- Supervise the collection, preprocessing, and curation of 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;
- 5+ years of experience implementing and fine‑tuning Large Language Models or interactive AI applications;
- Expert proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
- Worked with different cloud platforms (e.g., Azure, AWS, GCP) and different AI tools (e.g., LLMs, Agentic AI etc.).
Benefits:
- Flexible work environment;
- Competitive PTO packages, starting at 20+ days;
- Competitive compensation and benefits package;
- Company‑sponsored employee appreciation events;
- Employee health and wellness initiatives;
- Community involvement with local nonprofit organizations;
- Structured career paths with opportunities for professional growth.
Medpace is an equal opportunity employer.
Senior AI Engineer employer: Medspace
At Medpace, we pride ourselves on being an exceptional employer, offering a flexible work environment that fosters innovation and collaboration in the field of Artificial Intelligence. Our commitment to employee growth is evident through structured career paths and professional development opportunities, alongside competitive compensation and generous PTO packages. Join us in making a meaningful impact on clinical trials while enjoying a supportive culture that values community involvement and employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for a Senior AI Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning models or NLP tools. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and challenges. Practice explaining your past projects and how you've tackled complex problems using AI tools. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to make a difference in AI. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI tools and machine learning models. We want to see how your background aligns with the responsibilities listed in the job description, so don’t be shy about showcasing relevant projects!
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 our mission at Medpace. Be specific about your experiences and how they relate to the role.
Showcase Your Technical Skills:Since we’re looking for someone with expertise in programming languages like Python and frameworks like TensorFlow, make sure to include any relevant certifications or projects that demonstrate your proficiency. We love seeing hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Medspace
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those mentioned in the job description like NLP and LLM. Be ready to discuss your past experiences with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them using machine learning techniques. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Familiarise Yourself with Cloud Platforms
Since experience with cloud platforms like Azure, AWS, or GCP is crucial, make sure you can discuss your familiarity with these environments. If you’ve deployed models in production before, share those experiences and any lessons learned.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
