Solution Architect AI & Machine Learning (London)
Solution Architect AI & Machine Learning (London)

Solution Architect AI & Machine Learning (London)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build AI services while managing projects with top IT professionals.
  • Company: Join a leading FTSE 250 company driving AI innovation in B2B and B2C sectors.
  • Benefits: Enjoy a competitive salary, bonuses, and great benefits including flexible work options.
  • Why this job: Be at the forefront of AI technology, shaping solutions that impact the business landscape.
  • Qualifications: Experience in AI solution architecture and leading delivery teams in an Agile environment required.
  • Other info: Opportunity for hands-on involvement and influence within a large corporate setting.

The predicted salary is between 43200 - 72000 £ per year.

Solution Architect AI & Machine Learning

Salary: Very competitive + bonus & benefits

A Solutions Architect in Artificial Intelligence is required by a FTSE 250 giant with B2B & B2C business offerings.

The company are looking to quickly accelerate the adoption of AI technology across the company, in which this role will play a key part.

Reporting into the Group AI Leader the Solutions Architect will be focused on designing and building AI services and products for the business. You will project manage and have access to World Class IT professionals to do so.

You will have experience of end to end Artificial Intelligence solution architecture projects within an enterprise company.

Experience Required :

  • Experience of building and leading Delivery teams in the context of AI projects
  • Still hands on, comfortable in rolling up your sleeves
  • Working in an Agile environment
  • Strong understanding of the Architectures that underlie different parts of AI & Machine Learning solution development
  • Strong Interpersonal Skills with the ability to influence within a large corporate environment

If this Solutions Architect role with focus in Artificial Intelligence development sounds like something you might be interested in please click on the link and send us your CV, or contact us directly for a confidential conversation.

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Solution Architect AI & Machine Learning (London) employer: Wyatt Partners

Join a leading FTSE 250 company in London, where innovation meets opportunity. As a Solutions Architect in AI & Machine Learning, you'll thrive in a dynamic work culture that champions collaboration and professional growth, supported by world-class IT professionals. With competitive salaries, bonuses, and a commitment to accelerating AI technology adoption, this role offers a unique chance to make a significant impact in a forward-thinking environment.
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Contact Detail:

Wyatt Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Solution Architect AI & Machine Learning (London)

✨Tip Number 1

Network with professionals in the AI and Machine Learning field. Attend industry events, webinars, or meetups to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.

✨Tip Number 2

Showcase your hands-on experience with AI projects. Be prepared to discuss specific examples where you've led delivery teams or implemented AI solutions. This will demonstrate your practical knowledge and ability to roll up your sleeves when needed.

✨Tip Number 3

Familiarise yourself with Agile methodologies if you haven't already. Understanding how Agile works will not only help you in interviews but also show that you're adaptable and ready to thrive in their working environment.

✨Tip Number 4

Prepare to discuss your interpersonal skills and how you've influenced decisions in previous roles. Being able to articulate your approach to collaboration and communication within a corporate setting will be crucial for this position.

We think you need these skills to ace Solution Architect AI & Machine Learning (London)

AI Solution Architecture
Machine Learning Frameworks
Agile Methodologies
Project Management
Team Leadership
Interpersonal Skills
Technical Proficiency in AI Technologies
End-to-End AI Project Experience
Problem-Solving Skills
Stakeholder Management
Cloud Computing Knowledge
Data Modelling
Software Development Life Cycle (SDLC)
Communication Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI and Machine Learning solution architecture. Focus on specific projects you've led, the technologies you've used, and the impact of your work.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of its applications in both B2B and B2C contexts. Mention how your skills align with the company's goals and the role's requirements.

Highlight Relevant Experience: In your application, emphasise your experience in leading delivery teams and working in Agile environments. Provide examples of how you've influenced stakeholders and driven AI projects to success.

Showcase Interpersonal Skills: Since strong interpersonal skills are crucial for this role, include examples in your application that demonstrate your ability to communicate effectively and influence within a corporate environment.

How to prepare for a job interview at Wyatt Partners

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with AI and machine learning architectures in detail. Highlight specific projects where you led delivery teams and the technologies you used, as this will demonstrate your hands-on capability and understanding of the field.

✨Emphasise Your Project Management Skills

Since the role involves project management, be ready to share examples of how you've successfully managed AI projects. Discuss your approach to Agile methodologies and how you ensure timely delivery while maintaining quality.

✨Demonstrate Strong Interpersonal Skills

The ability to influence and communicate effectively within a large corporate environment is crucial. Prepare examples of how you've navigated complex stakeholder relationships and facilitated collaboration among diverse teams.

✨Research the Company’s AI Initiatives

Familiarise yourself with the company's current AI projects and their strategic goals. This knowledge will allow you to tailor your responses and show genuine interest in how you can contribute to their AI adoption efforts.

Solution Architect AI & Machine Learning (London)
Wyatt Partners

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