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- Tasks: Transform ML prototypes into scalable platforms and optimise workflows with scientists.
- Company: Global IT consultancy at the forefront of pharma and bioinformatics.
- Benefits: Flexible day rate, collaborative environment, and impactful work in life sciences.
- Why this job: Join a cutting-edge team and make a difference in scientific research through AI/ML.
- Qualifications: Extensive experience in pharma, biotech, or life sciences and strong ML engineering skills.
- Other info: Onsite role in King’s Cross, London, with excellent career development opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A global IT consultancy seeks an experienced AI/ML Engineer to transform research-driven ML prototypes into scalable platforms. The role requires extensive experience in pharma, biotech, or life sciences, and involves collaboration with scientists to build and optimize ML workflows.
The contract is Inside IR35, requiring 3 days onsite in King’s Cross, London. The day rate is flexible depending on experience. This is an exciting opportunity to work at the intersection of ML engineering and scientific research.
AI/ML Platform Engineer for Pharma & Bioinformatics in London employer: Nicoll Curtin Technology
Contact Detail:
Nicoll Curtin Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Platform Engineer for Pharma & Bioinformatics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the pharma and biotech sectors 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 those interviews! Brush up on your technical skills and be ready to discuss how you've transformed ML prototypes into scalable platforms. Use real examples from your past work to impress the interviewers.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email to express your appreciation and reiterate your interest in the role. It shows professionalism and keeps you on their radar.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI/ML Platform Engineer for Pharma & Bioinformatics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in pharma, biotech, or life sciences. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML in the pharma sector and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working closely with scientists, highlight any past experiences where you’ve collaborated on projects. We’re looking for team players who can bridge the gap between tech and research!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Nicoll Curtin Technology
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge, especially as it relates to pharma and bioinformatics. Be ready to discuss specific projects you've worked on and how they relate to transforming ML prototypes into scalable platforms.
✨Show Your Collaborative Spirit
Since the role involves working closely with scientists, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully partnered with non-technical teams to optimise ML workflows.
✨Understand the Business Context
Familiarise yourself with the current trends in the pharma and biotech sectors. Being able to discuss how your skills can directly impact research and development will show that you’re not just technically savvy but also business-minded.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This could be about their current ML projects or how they envision the future of AI in their research. It shows you're genuinely interested and engaged with the role.
