At a Glance
- Tasks: Design and implement AI tools to revolutionise clinical trials and improve efficiency.
- Company: Join Medpace, a leading clinical research organisation making a global impact.
- Benefits: Enjoy flexible work, competitive PTO, wellness initiatives, and career growth opportunities.
- Other info: Work in a modern, eco-friendly campus with community involvement and employee appreciation events.
- Why this job: Be at the forefront of AI innovation in healthcare and make a real difference.
- Qualifications: 5+ years in AI with expertise in NLP and programming languages like Python.
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. We are currently seeking a Senior professional with experience with artificial intelligence (AI) tools such as NLP, LLM, Agentic AI etc. This professional will be helping educate, program and fine‑tune various AI tools, help IT teams to implement them into new applications, and lead a team of AI Engineers. 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 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.).
What To Expect Next
A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.
Senior AI Engineer in London employer: Medpace
Medpace is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about advancing AI in clinical trials. With a flexible work environment, competitive compensation, and structured career paths, employees are empowered to grow professionally while contributing to meaningful healthcare advancements. The Cincinnati campus offers modern amenities, wellness initiatives, and community involvement opportunities, making it an attractive place for professionals seeking impactful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving NLP or LLMs. 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-related questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨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 at Medpace. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI tools like NLP and LLM, and don’t forget to showcase any leadership roles you've had. We want to see how your background aligns with what we’re looking for!
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 make a difference at Medpace. Be specific about your achievements and how they relate to the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially those involving machine learning models and AI tools.
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 at Medpace!
How to prepare for a job interview at Medpace
✨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 complex problems you've solved using machine learning models. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact on business outcomes.
✨Collaborative Mindset
Since the role involves working with multiple teams, be ready to share examples of how you've successfully collaborated in the past. Emphasise your ability to communicate technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about Medpace’s approach to AI and their current projects. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.
