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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 70000 - 90000 £ per year.
A specialist data consultancy is hiring 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 Manchester 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 Manchester
✨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, highlight your experience with LLMs and generative AI systems. Show them how you can lead their projects to success.
✨Tip Number 4
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 AI / ML Manager - Agentic AI in Manchester
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 and how you've solved complex business problems, as this will help us see your potential impact on our team.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise in deploying ML systems and working with LLMs. We want to know about your experience with cloud platforms and how you’ve architected end-to-end solutions in the past.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you’ll be one step closer to joining our awesome team!
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 is your chance to showcase your expertise!
✨Understand the Business
Since you'll be translating complex business problems into scalable solutions, take some time to research the company and its clients. Understand their challenges and think about how your skills can help solve them. This will show that you're not just technically savvy but also business-minded.
✨Showcase Leadership Skills
As a senior role, they’ll want to see your leadership capabilities. Prepare examples of how you've led teams or mentored engineers in the past. Highlight your ability to manage client relationships and identify growth opportunities—this is key for the consulting aspect of the role.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. This could be about their current projects, team dynamics, or future goals in AI and ML. It shows your genuine interest in the role and helps you assess if the company is the right fit for you.