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 options, 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.
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 life cycle 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 (eg, Slurm).
Director - AI/ML Engineering in Oxford employer: HAYS Specialist Recruitment
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 you at the forefront of AI advancements. Located in a vibrant tech hub, we provide a dynamic environment where your contributions will make a meaningful impact on the organisation and beyond.
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
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 hands-on experience and technical skills to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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. Use keywords from the job description, like 'production-grade AI products' and 'ML frameworks', to catch our eye!
Showcase Your Projects:Don’t just list your skills; showcase specific projects where you’ve delivered high-impact AI/ML solutions. We love seeing real-world applications of your expertise, especially with tools like PyTorch or TensorFlow.
Highlight Leadership Experience:Since this role involves cross-functional leadership, make sure to highlight any experience you have in leading teams or projects. We want to see how you've influenced strategy and driven results in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Showcase Your Technical Expertise
Make sure to prepare specific examples of your hands-on experience in AI/ML engineering. Highlight projects where you've delivered production-grade AI products, especially using Python and frameworks like PyTorch or TensorFlow.
✨Demonstrate Leadership Skills
As a Director-level candidate, it's crucial to showcase your cross-functional leadership abilities. Prepare to discuss how you've influenced teams and driven strategic initiatives in previous roles, particularly in the context of AI/ML solutions.
✨Familiarise Yourself with Relevant Tools
Brush up on the tools and platforms mentioned in the job description, such as AWS SageMaker, GitLab CI/CD, and Docker. Be ready to discuss your experience with these technologies and how they can be applied to enhance organisational capability.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in AI/ML contexts. Think about challenges you've faced in deploying LLM-based applications or building CI/CD pipelines, and how you overcame them.
