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 commitment to making a difference.
- Benefits: Enjoy flexible work, generous PTO, competitive pay, and wellness initiatives.
- Other info: Great career growth opportunities and a supportive, collaborative environment.
- Why this job: Be at the forefront of AI technology and contribute to meaningful advancements in healthcare.
- Qualifications: 5+ years in AI with expertise in NLP and programming languages like Python.
The predicted salary is between 60000 - 80000 £ 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 in London 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 competitive benefits, including generous PTO and wellness initiatives, all while making a meaningful impact in clinical trials. Join us in our mission to advance healthcare through cutting-edge AI solutions in a supportive and community-focused atmosphere.
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, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning models or AI 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 your technical knowledge and problem-solving skills. Practice common AI-related interview questions and be ready to discuss your experience with LLMs and cloud platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 and machine learning models, and don’t forget to mention any relevant projects that showcase your skills.
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 Medpace's mission. Be specific about your experience with NLP and LLMs, and show us why you're the perfect fit.
Showcase Your Technical Skills:We want to see your technical prowess! Include details about the programming languages and frameworks you’re proficient in, especially Python, TensorFlow, and PyTorch. Mention any cloud platforms you've worked with too!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Medspace
✨Know Your AI Stuff
Make sure you brush up on the latest trends and tools in AI, especially those mentioned in the job description like NLP and LLM. Be ready to discuss your experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of 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 previous projects.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with cloud platforms like Azure, AWS, or GCP, make sure you can talk about your experience with these. If you’ve deployed models in production environments, be ready to explain the process and any challenges you faced.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Think about how you can contribute to their mission in clinical trials.
