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 across multiple domains.
- Qualifications: Extensive experience in AI/MLOps and strategic leadership in complex environments.
The predicted salary is between 100000 - 150000 € per year.
Your new role
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.
What you need to do now
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 Specialist Recruitment Limited
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 this an ideal environment for those passionate about AI and MLOps. With competitive benefits and a strong emphasis on work-life balance, we offer a rewarding experience for our team members in a rapidly evolving industry.
Contact Detail:
Hays Specialist Recruitment Limited 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 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 some fantastic roles waiting for you, and applying directly can give you a better chance of getting noticed. Don’t hesitate to reach out if you need any help with your application!
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. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements and relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Director role. We love seeing passion and clarity, so make sure to connect your experience with our mission at StudySmarter.
Showcase Your Leadership Skills:As a Director, we’re looking for strong leadership qualities. Highlight your experience in leading teams and driving strategic initiatives. Share specific examples of how you've successfully managed projects or influenced change in previous roles.
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 proactive and keen to join our team!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Know Your Stuff
Make sure you brush up on your AI/MLOps knowledge. Be ready to discuss specific technologies, frameworks, and methodologies you've used in past projects. This role demands deep technical credibility, so showcasing your expertise will definitely impress.
✨Strategic Vision is Key
Prepare to articulate your vision for AI/MLOps within a biotech context. Think about how you would define and execute an enterprise strategy. Being able to connect your experience with the company's goals will show that you're not just a techie, but also a strategic leader.
✨Showcase Leadership Experience
This is a Director-level role, so be ready to share examples of how you've led teams and driven delivery across multiple business areas. Highlight your ability to manage complex projects and navigate challenges in a collaborative environment.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission and how AI/ML fits into their overall strategy. Being able to discuss how your work can contribute to their goals will demonstrate your commitment and understanding of the business landscape.
