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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 AI while leading talented teams and driving innovation.
- Qualifications: 5+ years in ML systems, strong communication, and leadership skills.
- Other info: Opportunity for career growth in a cutting-edge tech field.
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 London 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 London
✨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
Showcase your projects! Create a portfolio that highlights your hands-on experience with ML systems and GenAI. This will give you an edge when discussing your capabilities during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex business problems with scalable AI solutions in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI / ML Manager - Agentic AI in London
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, especially those that relate to client engagement and delivering production-grade solutions.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise in LLMs and generative AI systems. We want to see how you’ve architected and deployed ML systems in the past, so be specific about your contributions and outcomes.
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 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 delivery teams, be prepared to share examples of how you've successfully managed projects and mentored engineers. Highlight specific instances 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.