AI / ML Manager - Agentic AI in Dartford, Kent

AI / ML Manager - Agentic AI in Dartford, Kent

Dartford +1 Full-Time 70000 - 90000 € / year (est.) No home office possible
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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.

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

Locations

DartfordKent

AI / ML Manager - Agentic AI in Dartford, Kent employer: ON Data Staffing

As an AI / ML Manager at our specialist data consultancy, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a supportive environment for mentoring, ensuring your growth alongside the company. Located in a vibrant tech hub, you'll have access to a network of industry leaders and cutting-edge resources, making this an exceptional place to advance your career in AI and machine learning.

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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 Dartford, Kent

✨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

Apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your experience with deploying ML systems and leading teams.

We think you need these skills to ace AI / ML Manager - Agentic AI in Dartford, Kent

Machine Learning
AI Solutions
Project Management
Client Engagement
Technical Leadership
Feature Pipeline Development
Model Workflow Management

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the AI/ML Manager role. Highlight your experience with ML systems and any consulting work you've done. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience aligns with our needs. We love seeing genuine enthusiasm and a clear understanding of the role.

Showcase Your Projects:If you've led any projects or initiatives, be sure to mention them! We want to know about your hands-on experience and how you've tackled complex problems in the past. Real examples can make a big difference.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on 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 environments.

✨Showcase Your Leadership Skills

Since this role involves leading small to mid-sized delivery teams, be prepared to share examples of how you've successfully managed projects and mentored engineers. Highlight your ability to communicate effectively with stakeholders.

✨Understand the Business Side

This position requires translating complex business problems into scalable solutions. Think about how you've approached similar challenges in the past and be ready to discuss your strategies for managing client relationships and identifying growth opportunities.

✨Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Brush up on architecting and deploying end-to-end ML systems, and be ready to explain your approach to building feature pipelines and model workflows.