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- Tasks: Lead AI projects, design algorithms, and train clients on AI best practices.
- Company: Join a Microsoft Partnered consultancy known for growth and development opportunities.
- Benefits: Enjoy a competitive salary, performance bonuses, 25 days leave, and healthcare perks.
- Why this job: Be part of a dynamic team shaping the future of AI across various industries.
- Qualifications: Experience in AI/ML, strong programming skills, and cloud expertise required.
- Other info: This is a home-based role with occasional travel to client sites and quarterly events.
The predicted salary is between 43200 - 84000 £ per year.
I am working with a Microsoft Partnered consultancy who are looking for an AI Consultant to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance, and the public sector.
In this position, you will join a growing Data & AI practice and will work directly with clients to understand their challenges. You will then use your experience to advise solutions that can benefit the business and help improve performance using AI, ML, and Advanced Analytics.
The client is committed to becoming leaders in their industry within the UK and renowned for offering fantastic opportunities to move up the ranks of the business. Every colleague within the team has their own personalised development plan, with clear goals set and promotions earned through merit!
As part of this role, you will be responsible for:
- Build relationships with clients and take the lead on delivering AI solutions to benefit the business
- Design and develop AI algorithms and models
- Provide training to clients on the best practices of working with AI tools
- Implement AI models into client environments and monitor ongoing performance, making changes where necessary
- Be the technical expert on projects for all AI technologies including ML and NLP
To be successful in this role you will have:
- Commercial experience working in AI/ML
- Strong programming skills with Python and other languages such as R or Java
- Strong cloud experience in an Azure environment (AWS or GCP also beneficial)
- Experience with Gen AI would be beneficial
This is a home-based role; however, travel to client sites is required on an ad-hoc basis. You will also travel to company get-togethers once per quarter, with travel to these events expensed.
Some of the benefits included in this role are:
- Salary up to £60,000 depending on experience
- Performance-related bonus scheme of up to 10%
- 25 days annual leave plus bank holidays
- Company pension scheme; 5% matched contribution
- Healthcare benefits such as private healthcare
This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now!
AI Consultant employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially those relevant to the industries mentioned in the job description. This will not only help you understand client challenges better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI field, particularly those who work with Microsoft technologies. Attend industry events or webinars to connect with potential colleagues and gain insights into the consultancy's culture and expectations.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to explain your thought process, the challenges you faced, and how you measured success, as this will demonstrate your practical experience and problem-solving skills.
✨Tip Number 4
Showcase your programming skills by being prepared to discuss your experience with Python, R, or Java. You might even consider sharing a portfolio of relevant projects or code samples that highlight your technical expertise and creativity in AI development.
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and ML. Focus on specific projects you've worked on, especially those that demonstrate your programming skills in Python, R, or Java.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience with AI solutions and client interactions.
Showcase Your Technical Skills: Clearly outline your technical expertise in AI technologies, including any experience with Azure, AWS, or GCP. If you have worked with Gen AI, be sure to mention it as it could set you apart from other candidates.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous projects in detail. Prepare examples of how you've successfully implemented AI solutions and trained clients on best practices.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Technical Skills
Make sure to highlight your programming skills, especially in Python, R, or Java. Be prepared to discuss specific projects where you've implemented AI or ML solutions, as this will demonstrate your hands-on experience.
✨Understand the Client's Industry
Research the industries the consultancy works with, such as retail, finance, and the public sector. Being knowledgeable about their challenges and how AI can address them will show your commitment and understanding of the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical client problems using AI solutions. Practise articulating your thought process and the steps you would take to design and implement effective AI models.
✨Emphasise Your Communication Skills
As an AI Consultant, you'll need to explain complex concepts to clients. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders in the past.
