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For Companies At a Glance
- Tasks: Lead AI and ML projects, transforming complex problems into scalable solutions.
- Company: Join a specialist data consultancy focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in the AI field while mentoring future tech leaders.
- Qualifications: 5+ years in ML systems, strong communication, and leadership skills.
- Other info: Dynamic role with opportunities to work on cutting-edge generative AI technologies.
The predicted salary is between 80000 - 100000 £ per year.
ON Data Staffing is working with a specialist data consultancy to hire an AI / ML Manager. This is a senior, hands-on consulting role, leading client engagements and delivering production-grade machine learning and AI solutions.
The Role
You will work directly with client stakeholders to translate complex business problems into scalable ML and AI solutions, owning projects end-to-end while leading small to mid-sized delivery teams.
Key Responsibilities
- Lead machine learning and AI initiatives from problem definition to production
- Architect and deploy end-to-end ML and GenAI systems
- Provide technical leadership across delivery teams
- Build feature pipelines, model workflows, and deployment systems
- Manage client relationships and identify growth opportunities
- Mentor engineers and contribute to practice development
Requirements
- 5+ years deploying ML systems in production environments
- Experience across major cloud or data platforms
- Hands-on experience with LLMs and generative AI systems
- Strong stakeholder communication and consulting skills
- Experience leading projects or small technical teams
Nice to Have
- Prior consulting or professional services experience
- Deep expertise in GenAI and LLM performance optimisation
AI / ML Manager - Agentic AI employer: ON Data Staffing
Contact Detail:
ON Data Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Manager - Agentic AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving ML and GenAI. Use platforms like GitHub to share your code and demonstrate your hands-on experience. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and consulting skills. Be ready to discuss how you've led projects and solved complex problems. We love hearing about real-world examples, so have a few stories up your sleeve!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who can lead AI initiatives and mentor others. Let’s get you in the door!
We think you need these skills to ace AI / ML Manager - Agentic AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Manager role. Highlight your experience with ML systems and any hands-on projects you've led. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying ML systems or working with generative AI, we want to know what you've done and the impact it had.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ON Data Staffing
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and AI systems, especially generative AI. Be ready to discuss your hands-on experience with LLMs and how you've deployed ML systems in production environments.
✨Showcase Your Leadership Skills
Since this role involves leading small to mid-sized delivery teams, be prepared to share examples of how you've successfully managed projects and mentored engineers. Highlight your ability to communicate effectively with stakeholders.
✨Understand the Business Side
This position requires translating complex business problems into scalable solutions. Think about how you've approached similar challenges in the past and be ready to discuss your strategies for managing client relationships and identifying growth opportunities.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your architectural knowledge of end-to-end ML systems and be ready to explain your approach to building feature pipelines and model workflows.