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For Companies At a Glance
- Tasks: Lead AI and ML projects, turning complex problems into scalable solutions.
- Company: Join a specialist data consultancy focused on innovative AI solutions.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Make a real impact in the AI field while leading talented teams.
- Qualifications: 5+ years in ML systems, strong communication, and leadership skills.
- Other info: Opportunity for career growth and to work with cutting-edge technologies.
The predicted salary is between 70000 - 90000 £ per year.
A specialist data consultancy is looking 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 in Leeds 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 in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your past projects and how you've tackled complex problems. We want to see your hands-on experience shine!
✨Tip Number 3
Don’t forget to tailor your pitch! When you get the chance to speak with hiring managers, make sure to highlight your experience with LLMs and generative AI systems. Show them why you're the perfect fit for their needs.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI / ML Manager - Agentic AI in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI/ML Manager role. Highlight your hands-on experience with ML systems and any consulting work you've done, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and ML. Share specific examples of projects you've led or challenges you've overcome, so we can see your problem-solving skills in action.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Whether it’s deploying ML systems or working with LLMs, make sure we know what tools and technologies you’re comfortable with. This helps us understand how you can contribute to our team.
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 don’t miss out on any important updates from us during the hiring process.
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. Be ready to discuss your hands-on experience with LLMs and generative AI, as well as any projects you've led. This role is all about translating complex problems into solutions, so be prepared to showcase your technical expertise.
✨Showcase Your Leadership Skills
Since this position involves leading small to mid-sized teams, it's crucial to demonstrate your leadership abilities. Think of examples where you've successfully managed a project or mentored engineers. Highlight how you foster collaboration and drive results within a team.
✨Understand the Client's Needs
Research the consultancy and their clients beforehand. Understand their business challenges and think about how your skills can address these issues. During the interview, show that you can translate these challenges into scalable ML and AI solutions, which will impress the interviewers.
✨Communicate Effectively
Strong stakeholder communication is key in this role. Practice articulating complex ideas in a simple way. Be ready to discuss how you've built client relationships in the past and identify growth opportunities. Clear communication can set you apart from other candidates.