Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and manage machine learning models to improve animal health.
- Company: Global leader in animal health with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in animal health using cutting-edge technology.
- Qualifications: Strong Python skills and experience with MLOps and cloud platforms.
- Other info: Collaborative team environment with a focus on impactful solutions.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in animal health is seeking a Machine Learning Engineer to join their team in Hook, UK. This hybrid role focuses on the end-to-end lifecycle of machine learning models, requiring strong expertise in Python, MLOps tools, and cloud platforms like Azure and GCP.
The successful candidate will collaborate closely with data scientists and engineers to deliver impactful solutions that enhance animal health. Excellent communication skills and a results-oriented approach are essential.
Applied ML Engineer for Animal Health (Hybrid UK) in Hook employer: Elanco Tiergesundheit AG
Contact Detail:
Elanco Tiergesundheit AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Engineer for Animal Health (Hybrid UK) in Hook
✨Tip Number 1
Network like a pro! Reach out to professionals in the animal health and machine learning fields on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to animal health. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python, MLOps tools, and cloud platforms like Azure and GCP. Practising common ML problems and solutions will help you feel confident and ready to impress.
✨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 Applied ML Engineer for Animal Health (Hybrid UK) in Hook
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, MLOps tools, and cloud platforms like Azure and GCP. 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 passionate about animal health and how your expertise can make a difference. We love seeing genuine enthusiasm for the field.
Showcase Collaboration Skills: Since this role involves working closely with data scientists and engineers, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you contribute to a group dynamic.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Elanco Tiergesundheit AG
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with MLOps tools. Be ready to discuss specific projects where you've implemented machine learning models, especially in cloud environments like Azure or GCP.
✨Showcase Collaboration Skills
Since this role involves working closely with data scientists and engineers, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects that demonstrate your ability to communicate effectively and work as part of a team.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles and how you overcame them, particularly in the context of enhancing animal health through technology.
✨Emphasise Results-Driven Mindset
Be ready to discuss how your contributions have led to tangible results. Use metrics or specific outcomes to illustrate your impact, showing that you're not just about the tech but also about delivering real-world solutions.
