At a Glance
- Tasks: Lead AI/MLOps Engineering and drive innovative AI solutions in a biotech environment.
- Company: Join a pioneering biotech company focused on AI excellence.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of AI.
- Other info: Dynamic role with opportunities for professional growth and innovation.
- Why this job: Be at the forefront of AI technology and make a significant impact across multiple domains.
- Qualifications: Extensive experience in AI/MLOps and strategic leadership in complex environments.
The predicted salary is between 100000 - 150000 € per year.
The primary purpose of this role is to serve as the senior technical and strategic leader for AI/MLOps Engineering within the businesses AI Centre of Excellence (CoE). The post holder will act as a recognised subject-matter expert and principal advisor, leading the productionisation, scaling, operational governance, and life cycle management of AI/ML systems across the organisation.
This is a Director-level leadership role requiring deep technical credibility, strong strategic judgement, and the ability to drive delivery across multiple business domains within a biotech environment. The role is accountable for defining and executing the enterprise AI/MLOps engineering strategy, ensuring that AI capabilities—including machine learning systems, large language models (LLMs), agentic AI workflows, and healthcare foundation models—are deployed through scalable, secure, reproducible, and GxP-compliant engineering practices.
What you'll need to succeed:
- Significant experience leading AI/MLOps, MLOps, AI platform engineering, or closely related technical capabilities in complex enterprise environments.
- Demonstrated experience defining strategy and leading delivery across multiple business areas.
- Deep knowledge of AI/ML productionisation, platform architecture, deployment patterns, life cycle management, and operational governance.
- Strong experience with cloud and platform ecosystems relevant to AI deployment, including managed ML services, infrastructure automation, containerisation, and CI/CD practices.
- Strong understanding of enterprise architecture, data integration, platform security, observability, reliability, and supportability requirements.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Director AI/MLOps Engineering in Oxford employer: Hays Technology
As a leading biotech firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their careers. Our commitment to professional development is matched by our focus on collaboration and cutting-edge technology, making us an ideal employer for those passionate about AI and MLOps. Located in a vibrant area, we offer competitive benefits and a supportive environment that encourages growth and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Director AI/MLOps Engineering in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/MLOps space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with AI/ML productionisation and platform architecture. This will help you stand out during interviews and demonstrate your deep technical credibility.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and webinars to keep your knowledge fresh. This will not only help you in interviews but also show potential employers that you're passionate about the field.
✨Tip Number 4
Apply through our website! We’ve got a range of exciting roles waiting for you, and applying directly can give you a better chance of getting noticed. Don’t hesitate to reach out if you have any questions!
We think you need these skills to ace Director AI/MLOps Engineering in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Director AI/MLOps Engineering role. Highlight your experience in AI/MLOps and any leadership roles you've held. We want to see how your skills align with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you’ve successfully led AI/ML projects or strategies in the past. This helps us see the impact you've made.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about AI/MLOps and how your vision aligns with our goals at StudySmarter. Keep it concise but engaging, and let your personality come through.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hays Technology
✨Know Your AI/MLOps Inside Out
Make sure you brush up on your knowledge of AI/MLOps, especially in the context of biotech. Be ready to discuss specific examples of how you've led AI productionisation and operational governance in previous roles.
✨Showcase Your Strategic Thinking
Prepare to articulate your strategic vision for AI/MLOps engineering. Think about how you would define and execute an enterprise strategy, and be ready to share insights on how to drive delivery across multiple business domains.
✨Demonstrate Technical Credibility
Highlight your experience with cloud ecosystems and platform architecture relevant to AI deployment. Be prepared to discuss your familiarity with managed ML services, containerisation, and CI/CD practices, as these are crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions that show your understanding of the company's AI Centre of Excellence. Inquire about their current challenges in AI/ML systems and how they envision the future of their AI capabilities, demonstrating your genuine interest in the role.
