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- Tasks: Join our team to design, build, and deploy impactful machine learning models for animal health.
- Company: Elanco, a global leader in animal health dedicated to innovation.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in animal health while working with cutting-edge technology.
- Qualifications: Proficiency in Python and experience with ML libraries and deployment.
- Other info: Collaborative culture with a focus on life science and community impact.
The predicted salary is between 36000 - 60000 £ per year.
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.
Your role: As a Machine Learning (ML) Engineer at Elanco, you will be a key member of our engineering team, specialising in the end-to-end lifecycle of custom and third-party (including open source) machine learning models. This role is focused on the practical application of machine learning, requiring a strong blend of software engineering discipline and deep ML expertise to design, build, and deploy models that deliver real-world value.
Your Responsibilities:
- Cross-Functional Collaboration: Work closely with data scientists, product managers, and software engineers to define requirements, integrate models into applications, and deliver impactful features.
- ML Model Deployment: Proven, hands-on experience deploying machine learning models into a production environment. Experience with MLOps tools and frameworks and containerisation technologies (Docker, Kubernetes).
- Cloud Platform Proficiency: Practical experience with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their ML services (e.g., Azure ML, Vertex AI). Proven experience with relevant DevSecOps concepts and tooling, including Continuous Integration/Continuous Delivery (CI/CD), Git SCM, Containerisation (Docker, Kubernetes), Infrastructure-as-Code (HashiCorp Terraform).
- Machine Learning Theory: Solid understanding of the theoretical foundations of machine learning algorithms, including deep learning, NLP, and classical ML.
- Problem-Solving: A pragmatic and results-oriented approach to problem-solving, with the ability to translate ambiguous requirements into concrete technical solutions.
- Industry Experience: A broad understanding of life science, covering the business model, regulatory/compliance requirements, risks and rewards. An ability to identify and execute against opportunities within machine learning that directly support life science outcomes.
- Communication: Excellent communication skills, capable of articulating complex technical decisions and outcomes to both technical and non-technical stakeholders.
Location: Hook, UK - Hybrid Work Environment
If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!
Machine Learning Engineer in Hook employer: Elanco Tiergesundheit AG
Contact Detail:
Elanco Tiergesundheit AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Hook
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Elanco employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really make you stand out.
✨Tip Number 3
Prepare for those interviews! Brush up on your ML concepts and be ready to discuss how you’ve tackled real-world problems. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we believe in potential. Your unique background might just be what we’re looking for, so go ahead and hit that apply button!
We think you need these skills to ace Machine Learning Engineer in Hook
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python and ML libraries like PyTorch and TensorFlow, as well as any relevant projects that showcase your skills in deploying models.
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 skills can contribute to Elanco's mission. Be sure to mention your experience with cloud platforms and MLOps tools.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. This could be through specific projects or challenges you've faced in machine learning. We love seeing a pragmatic approach!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get to know you better. Plus, it shows you're serious about joining our team at Elanco!
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 the core ML libraries like PyTorch and TensorFlow. Be ready to discuss specific projects where you've deployed models, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Elanco values cross-functional teamwork, so be prepared to share examples of how you've worked with data scientists, product managers, and software engineers. Highlight your ability to communicate complex ideas clearly to both technical and non-technical folks.
✨Demonstrate Problem-Solving Prowess
Think of a few scenarios where you had to translate ambiguous requirements into actionable solutions. Elanco is looking for a pragmatic approach, so be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Cloud Platforms
Since the role requires experience with Microsoft Azure and Google Cloud Platform, make sure you understand their ML services. If you have hands-on experience with CI/CD and containerisation tools like Docker and Kubernetes, be sure to mention it!
