At a Glance
- Tasks: Design and deploy AI models to revolutionise clinical trials and improve patient outcomes.
- Company: Join Medpace, a leading clinical research organisation dedicated to advancing medical therapeutics.
- Benefits: Competitive pay, health perks, flexible work options, and continuous learning opportunities.
- Other info: Collaborative culture with clear career paths and ongoing professional development.
- Why this job: Make a real impact in healthcare by working with cutting-edge AI technologies.
- Qualifications: Degree in AI or related field; experience with AI tools and programming languages required.
The predicted salary is between 72000 - 88000 £ 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? 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.
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.
- A passion for staying up-to-date with the latest advancements in NLP and AI technologies.
Other Employee Benefits:
- Competitive compensation programs that recognize and reward performance.
- Comprehensive health, wellness, retirement, and PTO benefits.
- Office based culture with occasional WFH that provides flexibility for eligible positions after training.
- Company-sponsored social events and intramural sports.
- A modern corporate campus designed to support collaboration and productivity.
- Multiple on-site dining options in the heart of Madison Square.
- Free on-site parking.
- Convenient access to on-site 24-7 fitness and wellness facilities.
A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview.
AI Platform Engineer in London employer: Medpace
Medpace is an exceptional employer, offering a collaborative and purpose-driven work environment in Cincinnati, Ohio, where employees can thrive alongside industry-leading experts in clinical research. With a strong focus on continuous learning and professional development, Medpace provides defined career paths, comprehensive benefits, and a culture that encourages innovation and employee contributions. Join us to make a meaningful impact on global health while enjoying competitive compensation and a supportive office-based atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Medpace or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Medpace.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Medpace.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Medpace that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Platform Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Medpace.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Medpace and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Medpace
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Medpace uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
