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- Tasks: Lead ML engineering for GenAI projects in the life sciences sector.
- Company: A top-tier technology consulting firm with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by advancing NLP and ML technologies.
- Qualifications: Expertise in large language models and biomedical NLP, plus strong Python skills.
- Other info: Join a dynamic team dedicated to ML excellence and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology consulting firm is seeking a Senior ML Engineer to lead the ML Engineering for a GenAI biological reasoning project for a large pharmaceutical client. The role involves leading the transition from POC to production, developing architectures for LLMs, and enhancing NLP capabilities.
The ideal candidate has expertise in large language models, advanced Python skills, and experience in biomedical NLP. This position requires collaboration with data scientists and offers a dynamic environment focused on ML excellence.
Senior ML Engineer - GenAI NLP & Graph RAG for Life Sciences employer: Insight Global
Contact Detail:
Insight Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - GenAI NLP & Graph RAG for Life Sciences
✨Tip Number 1
Network like a pro! Reach out to professionals in the ML and life sciences fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and understanding LLM architectures. We recommend working on real-world projects or contributing to open-source to showcase your abilities.
✨Tip Number 3
Don’t underestimate the power of a strong personal brand. Create a portfolio that highlights your work in NLP and ML, especially any projects related to biomedical applications. This will make you stand out to potential employers.
✨Tip Number 4
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 ML Engineer - GenAI NLP & Graph RAG for Life Sciences
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large language models and biomedical NLP. We want to see how your skills align with the role, 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 explain why you’re excited about the GenAI biological reasoning project and how your background makes you the perfect fit for this dynamic environment.
Showcase Your Technical Skills: Since this role requires advanced Python skills, be sure to mention any specific frameworks or libraries you’ve worked with. We love seeing practical examples of your expertise in action!
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 this exciting opportunity!
How to prepare for a job interview at Insight Global
✨Know Your ML Stuff
Make sure you brush up on your knowledge of large language models and biomedical NLP. Be ready to discuss specific projects you've worked on, especially those involving POCs and transitioning to production. This will show that you have the hands-on experience they’re looking for.
✨Show Off Your Python Skills
Since advanced Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common ML algorithms and data manipulation tasks in Python. Being able to articulate your thought process while coding can really impress them.
✨Collaboration is Key
This role involves working closely with data scientists, so be ready to talk about your teamwork experiences. Share examples of how you’ve successfully collaborated on projects, particularly in dynamic environments. Highlight your communication skills and how you handle feedback.
✨Understand the Business Context
Since this position is for a pharmaceutical client, it’s beneficial to understand the life sciences sector. Research current trends in biomedical applications of AI and be prepared to discuss how your work can impact the industry. Showing that you grasp the bigger picture can set you apart from other candidates.
