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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 required.
- Other info: Dynamic role with opportunities to work on cutting-edge generative AI technologies.
The predicted salary is between 70000 - 90000 £ per year.
Consulting – GenAI, ML & Production AI Systems
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 in Birmingham 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 Birmingham
✨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! Brush up on your technical skills and be ready to discuss your past projects. We recommend practising common interview questions related to AI and ML to boost your confidence.
✨Tip Number 3
Showcase your work! Create a portfolio that highlights your best projects, especially those involving ML systems and GenAI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace AI / ML Manager - Agentic AI in Birmingham
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 consulting work you've done. We want to see how your skills match 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 experience aligns with our needs. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Include links or descriptions of your past work that demonstrate your ability to lead ML initiatives and deliver solutions. We want to see your hands-on experience!
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
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. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
Since this role involves leading delivery teams, be prepared to share examples of how you've successfully managed projects and mentored engineers. Highlight specific situations where your leadership made a difference in project outcomes.
✨Understand the Client's Needs
Research the consultancy and their clients beforehand. Think about how you can translate complex business problems into scalable solutions. Being able to demonstrate your understanding of client relationships will set you apart.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Prepare to explain your approach to building feature pipelines and model workflows. Practising common technical questions can help you feel more confident and articulate.