At a Glance
- Tasks: Lead AI/MLOps Engineering and drive innovative AI solutions in a biotech environment.
- Company: Join a pioneering biotech firm with a focus 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 in healthcare.
- 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.
Director AI/MLOps Engineering in Oxford employer: HAYS Specialist Recruitment
As a leading biotech firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Our commitment to professional development is evident through tailored growth opportunities and access to cutting-edge technology, ensuring that our team remains at the forefront of AI/MLOps engineering. Located in a vibrant area, we offer a collaborative environment where creativity thrives, making us an exceptional employer for those seeking meaningful and impactful careers.
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
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 hunt for a Director role. You never know who might have the inside scoop on opportunities that aren't advertised yet.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past projects, strategies you've implemented, and any thought leadership pieces you've written. This will help you stand out as a subject-matter expert.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI/MLOps. Be ready to discuss how you've tackled challenges in productionisation and governance in previous roles. We want to see your strategic thinking in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team and contributing to our AI Centre of Excellence.
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 highlight your experience in AI/MLOps and related fields. Use keywords from the job description to show that you’re a perfect fit for the role.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've led AI initiatives or improved processes in previous roles to demonstrate your impact.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about AI/MLOps and how your strategic vision aligns with our goals at StudySmarter. Keep it engaging and concise.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Know Your AI/MLOps Inside Out
Make sure you brush up on the latest trends and technologies in AI and MLOps. Be prepared to discuss your experience with productionisation, platform architecture, and operational governance in detail. This role demands a deep understanding, so don’t just skim the surface!
✨Showcase Your Strategic Thinking
This position requires strong strategic judgement, so come ready to share examples of how you've defined and executed strategies in previous roles. Think about specific challenges you faced and how you navigated them across multiple business areas.
✨Demonstrate Leadership Skills
As a Director, you'll need to lead teams effectively. Prepare to discuss your leadership style and provide examples of how you've motivated and guided teams in complex environments. Highlight any experience you have in mentoring or developing talent within your teams.
✨Familiarise Yourself with Compliance Standards
Since this role involves GxP-compliant engineering practices, make sure you understand the relevant regulations and standards. Be ready to discuss how you've ensured compliance in past projects, especially in biotech or similar industries.
