At a Glance
- Tasks: Lead the design and delivery of AI-powered products and systems.
- Company: Join a forward-thinking organisation at the forefront of AI/ML engineering.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on innovation and excellence.
- Why this job: Make a significant impact in AI/ML while shaping enterprise-wide standards.
- Qualifications: Extensive experience in AI/ML engineering and expert Python skills required.
The predicted salary is between 100000 - 150000 € per year.
The primary purpose of this role is to act as a senior technical expert and trusted advisor in AI/ML engineering, leading the design and delivery of AI-powered products and agentic systems that enhance organisational capability. As a key member of the AI Centre of Excellence (CoE), the post holder will help define and embed enterprise-wide standards for AI/ML engineering, promoting consistency, quality, and best practice across the organisation.
This is a hands-on, Director-level individual contributor role, combining deep technical expertise with cross-functional leadership and strategic influence. The post holder will focus on delivering high-impact AI/ML solutions, working closely with IT and platform teams to ensure scalable infrastructure, robust production deployment, and long-term operational success.
What you'll need to succeed:
- Extensive hands-on experience in AI/ML engineering with a track record of delivering production-grade AI products.
- Expert Python engineering skills and deep experience with ML frameworks such as PyTorch and/or TensorFlow.
- Proven experience building and deploying LLM-based applications using providers such as OpenAI, Anthropic, and open-source models via AWS Bedrock or direct APIs.
- Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, and Strands.
- Strong experience with ML lifecycle platforms such as AWS SageMaker and MLflow.
- Experience building CI/CD pipelines for ML/AI systems using GitLab CI/CD, Docker, and Kubernetes.
- Strong grounding in statistics, machine learning theory, and signal processing.
- Experience with cloud environments (AWS preferred) and distributed compute or training environments (e.g., Slurm).
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/ML Engineering in Oxford employer: Hays Technology
As a leading employer in the AI/ML sector, we offer an innovative work culture that fosters creativity and collaboration, allowing our employees to thrive in their roles. Our commitment to professional development ensures that you will have ample opportunities for growth and advancement, while our focus on cutting-edge technology and best practices positions us at the forefront of the industry. Join us in our state-of-the-art facilities, where your expertise will directly contribute to impactful AI solutions that enhance organisational capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Director - AI/ML Engineering in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field 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! Create a portfolio or GitHub repository highlighting your AI/ML projects. This is a great way to demonstrate your skills and experience to potential employers, especially for a hands-on role like this one.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss your past projects and how you've tackled challenges in AI/ML engineering. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Director - AI/ML Engineering in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your extensive hands-on experience in AI/ML engineering. We want to see how your skills in Python and ML frameworks like PyTorch or TensorFlow shine through!
Showcase Your Projects:Include specific examples of AI products you've delivered. We love seeing real-world applications, especially those involving LLM-based applications or agentic AI frameworks. Let us know what you've built!
Highlight Leadership Experience:Since this role involves cross-functional leadership, don’t forget to mention any experience you have in leading teams or projects. We’re looking for someone who can influence and drive change across the organisation.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Hays Technology
✨Showcase Your Technical Expertise
Make sure to highlight your extensive hands-on experience in AI/ML engineering. Be prepared to discuss specific projects where you've delivered production-grade AI products, and don't shy away from diving into the technical details of frameworks like PyTorch or TensorFlow.
✨Demonstrate Leadership Skills
As a Director-level candidate, it's crucial to showcase your cross-functional leadership abilities. Share examples of how you've influenced teams and driven strategic initiatives in previous roles, especially in relation to AI/ML solutions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in deploying LLM-based applications or building CI/CD pipelines, and be ready to explain your thought process and the outcomes.
✨Familiarise Yourself with the Company’s AI Strategy
Research the company's current AI initiatives and their approach to AI/ML engineering. Understanding their enterprise-wide standards and how you can contribute to promoting consistency and quality will show your genuine interest and alignment with their goals.
