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, 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 Cambridge 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 Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect role!
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving ML and GenAI systems. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨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 managed client relationships. Practice common interview questions with a friend to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI / ML Manager - Agentic AI in Cambridge
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: In your application, don't forget to mention your experience with LLMs and generative AI systems. We want to know about your technical leadership and how you've architected and deployed ML solutions in production environments.
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 at StudySmarter!
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 small to mid-sized teams, be prepared to share examples of how you've successfully managed projects and mentored engineers. Highlight your ability to communicate effectively with stakeholders and how you've driven initiatives from problem definition to production.
✨Understand the Business Context
It's crucial to translate complex business problems into scalable solutions. Research the company and its clients beforehand, and think about how your skills can address their specific challenges. This will demonstrate your consulting mindset and strategic thinking.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to AI and ML, their current projects, and growth opportunities. This shows your genuine interest in the role and helps you assess if it's the right fit for you.