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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 work options, 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.
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 Reading 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 Reading
✨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 waiting for you, and applying directly can sometimes give you a better chance to stand out.
We think you need these skills to ace AI / ML Manager - Agentic AI in Reading
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 forget to mention your technical expertise! We want to see your experience with LLMs, generative AI systems, and cloud platforms. Be specific about the tools and technologies you’ve used in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
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 any experiences where you’ve taken charge and driven results, as this will resonate well with the interviewers.
✨Understand Client Needs
This position requires strong stakeholder communication skills. Think about past experiences where you translated complex business problems into scalable solutions. Be ready to discuss how you’ve built relationships with clients and identified growth opportunities.
✨Prepare for Technical Questions
Expect some deep dives into technical aspects of ML and AI. Brush up on architectural design, feature pipelines, and deployment systems. Practising common technical interview questions can help you feel more confident and articulate during the interview.