AI / ML Manager - Agentic AI in Wolverhampton
AI / ML Manager - Agentic AI

AI / ML Manager - Agentic AI in Wolverhampton

Wolverhampton Full-Time 70000 - 90000 £ / year (est.) No home office possible
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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, 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 required.
  • Other info: Dynamic role with opportunities to work on cutting-edge generative AI 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 Wolverhampton employer: ON Data Staffing

At our specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As an AI / ML Manager, you will not only lead cutting-edge projects but also have access to continuous professional development opportunities, ensuring your skills remain at the forefront of the industry. Located in a vibrant tech hub, we offer a dynamic environment where creativity thrives, and your contributions directly impact our clients' success.
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Contact Detail:

ON Data Staffing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI / ML Manager - Agentic AI in Wolverhampton

✨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 Wolverhampton

Machine Learning
AI Solutions
Cloud Platforms
Generative AI Systems
Stakeholder Communication
Project Leadership
Technical Leadership
Feature Pipelines
Model Workflows
Deployment Systems
Client Relationship Management
Mentoring
Consulting Skills
Performance Optimisation

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 not only streamlines the process but also ensures we get all the information we need to consider your application thoroughly. Plus, it shows us you're keen on 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 any experiences where you’ve taken charge and driven results.

✨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 some deep dives into technical topics 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.

AI / ML Manager - Agentic AI in Wolverhampton
ON Data Staffing
Location: Wolverhampton

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