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 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 in Oxford employer: Hays Specialist Recruitment Limited
As a leading employer in the AI/ML sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our comprehensive training programmes and opportunities for advancement within the AI Centre of Excellence. Located in a vibrant tech hub, we provide competitive benefits and a culture that values creativity and excellence, making us an ideal choice for professionals seeking meaningful and impactful careers.
Contact Detail:
Hays Specialist Recruitment Limited 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. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI/ML projects, especially those that highlight your experience with Python, PyTorch, and TensorFlow. This will give you an edge when discussing your hands-on experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of ML frameworks and CI/CD pipelines. 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’re always looking for talented individuals like you to join our team and make an impact in the AI/ML space.
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, ML frameworks, and LLM-based applications shine through!
Showcase Your Projects:Include specific examples of AI-powered products you've delivered. We love seeing real-world applications of your expertise, especially with tools like PyTorch, TensorFlow, and AWS!
Highlight Leadership Experience:Since this role involves cross-functional leadership, don’t forget to mention any experience you have in guiding teams or influencing strategy. We’re looking for someone who can lead the charge in AI/ML engineering!
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 get you on our radar for this exciting opportunity!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨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. Be ready to discuss how you've influenced teams and driven strategic initiatives in previous roles, particularly in the context of AI/ML.
✨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. Being able to speak confidently about your experience with these technologies will set you apart.
✨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 be ready to explain your thought process and solutions.
