At a Glance
- Tasks: Design and implement AI models 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 AI tools 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 in London employer: Medspace
At Medpace, we pride ourselves on being an exceptional employer, offering a flexible work environment that fosters innovation and collaboration among our teams in London. Our commitment to employee growth is evident through structured career paths and professional development opportunities, alongside a competitive compensation and benefits package that prioritises health and wellness. Join us to be part of a forward-thinking company where your passion for AI can truly make a difference in the clinical trial landscape.
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 with professionals 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. 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! We love seeing candidates who are genuinely interested in joining us at Medpace. Plus, it’s a great way to ensure your application gets noticed.
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 like NLP and LLM. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 team. We love seeing enthusiasm, so let your personality come through!
Showcase Your Technical Skills:Be specific about your technical proficiency in programming languages and frameworks. If you've worked with Python, TensorFlow, or PyTorch, make sure to mention it. We’re keen on candidates who can hit the ground running!
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!
How to prepare for a job interview at Medspace
✨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 experience with these technologies and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using machine learning models. Think about the algorithms you implemented and the outcomes they drove. This will demonstrate your analytical thinking and technical proficiency.
✨Collaborate Like a Pro
Since the role involves working with multiple teams, be prepared to talk about your experience collaborating across departments. Share specific instances where your communication skills helped achieve a common goal.
✨Stay Current with AI Trends
Show your passion for AI by discussing recent advancements or trends in the field. This could include new techniques or tools you've been experimenting with. It shows you're not just knowledgeable but also genuinely interested in the industry.
