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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.
- Other info: Dynamic role with opportunities to work on cutting-edge generative AI technologies.
- 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.
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 Sheffield 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 Sheffield
✨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 expertise! Create a portfolio of your projects, especially those involving ML and GenAI systems. Share it on platforms like LinkedIn or even our website to grab the attention of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and consulting experience. Be ready to discuss how you've led projects and solved complex problems. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that align with your values and expertise. Use our website to find roles that excite you, and tailor your approach to each one. Quality over quantity is key!
We think you need these skills to ace AI / ML Manager - Agentic AI in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with 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, as this will help us see your problem-solving skills in action.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially with LLMs and generative AI systems. We want to know how you’ve deployed these technologies in production environments, so be specific about your contributions.
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!
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 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 from other candidates.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your knowledge of feature pipelines, model workflows, and deployment systems. Practising common technical questions can help you feel more confident and articulate your thought process clearly.