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: Dynamic role with a focus on innovation and collaboration.
- Why this job: Make a real 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 90000 - 120000 € per year.
Your new role 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.
Director - AI/ML Engineering employer: Hays Specialist Recruitment Limited
Join a forward-thinking organisation that prioritises innovation and excellence in AI/ML engineering. As a Director in our AI Centre of Excellence, you will thrive in a collaborative work culture that values your expertise and encourages professional growth through continuous learning and development opportunities. Located in a vibrant tech hub, we offer competitive benefits and the chance to make a significant impact on cutting-edge AI solutions that drive organisational success.
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Director - AI/ML Engineering
✨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 a GitHub repository with your AI/ML projects. This is a great way to demonstrate your skills and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI/ML engineering, and be ready to discuss your past projects and how they relate to the role.
✨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, 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
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 if you've worked with LLM-based applications or agentic AI frameworks. Let us know what you've built!
Highlight Leadership Experience:Since this is a Director-level role, don’t forget to showcase your cross-functional leadership experience. We’re looking for someone who can influence and guide teams, so share those stories!
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 Specialist Recruitment Limited
✨Showcase Your Technical Expertise
Make sure to brush up on your hands-on experience with AI/ML engineering. Be ready to discuss specific projects where you've delivered production-grade AI products, especially using Python and frameworks like PyTorch or TensorFlow. Highlighting your technical skills will show that you’re not just a leader but also a doer.
✨Demonstrate Cross-Functional Leadership
As this role involves strategic influence, prepare examples of how you've successfully collaborated with IT and platform teams in the past. Discuss how you’ve led initiatives that required coordination across different departments, ensuring everyone is aligned towards delivering high-impact AI/ML solutions.
✨Familiarise Yourself with Relevant Tools
Get comfortable discussing tools and platforms mentioned in the job description, like AWS SageMaker, GitLab CI/CD, and Docker. If you have experience with agentic AI frameworks or building CI/CD pipelines, be ready to share insights on how these tools have helped you achieve operational success in previous roles.
✨Prepare for Technical Questions
Expect in-depth technical questions related to machine learning theory, statistics, and signal processing. Brush up on these topics and think of real-world applications where you’ve applied this knowledge. Being able to articulate complex concepts clearly will demonstrate your expertise and confidence in the field.
