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- Tasks: Lead AI projects, engage with clients, and deliver innovative solutions using cutting-edge technology.
- Company: Join Cognitive Group, a leading Microsoft Partner transforming businesses with AI.
- Benefits: Enjoy remote work flexibility, travel opportunities, and a dynamic team environment.
- Why this job: Be at the forefront of AI innovation, making a real impact in diverse industries.
- Qualifications: Experience in machine learning, proficiency in Python and cloud platforms required.
- Other info: Must be willing to travel; SC Clearance eligibility is necessary.
The predicted salary is between 80000 - 120000 £ per year.
Be part of a growing consulting team with a leading Microsoft Partner. This role is for a Senior or Lead AI Consultant, who will deliver high-impact solutions that transform how clients operate using Artificial Intelligence.
You’ll play a critical role in guiding organisations through the AI journey — from identifying opportunities to architecting and deploying real-world solutions using modern cloud platforms and data technologies. You’ll work in a dynamic, fast-paced environment alongside experienced consultants and technical teams, helping clients unlock the full value of AI through innovation, collaboration, and expertise.
What You'll Do
- Engage directly with clients to capture their requirements and define tailored AI architectures that align with strategic business needs.
- Translate complex problems into data-driven solutions leveraging machine learning, generative AI, and cloud-native platforms.
- Lead multidisciplinary teams throughout delivery — from planning and design to implementation and handover.
- Define high-value AI use cases across domains such as predictive analytics, automation, and conversational AI.
- Analyse structured and unstructured data from multiple sources using tools such as modern data lakes, notebooks, and machine learning platforms.
- Build end-to-end ML workflows including experimentation, model training, evaluation, and deployment.
- Implement scalable and secure AI solutions using MLOps principles, CI/CD pipelines, and cloud-native tooling.
- Present insights, models, and value propositions to both technical and non-technical stakeholders.
- Ensure ethical, secure, and responsible AI practices are embedded into all stages of the solution lifecycle.
What You’ll Bring
- Substantial experience in machine learning, data science, or applied AI roles.
- Proficiency with Python, SQL, and common machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
- Hands-on experience with cloud platforms, particularly Azure, AWS, or GCP — including ML and data tooling.
- Knowledge of generative AI frameworks, LLMs, vector databases, and related technologies.
- Experience designing and deploying AI solutions in real-world business environments.
- Strong understanding of data pipelines, orchestration, and MLOps.
- Ability to explain AI concepts clearly to business stakeholders and influence outcomes.
- Familiarity with data visualisation and storytelling techniques using dashboards or interactive tools.
- An understanding of AI ethics, compliance, and risk mitigation.
- Experience working in a consulting or client-facing environment is a strong advantage.
- Certifications in AI/ML or cloud technologies (e.g., Azure AI Engineer, Google ML Engineer) are a plus.
Lead/Senior AI Consultant employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead/Senior AI Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss recent advancements or case studies during your conversations can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the AI consulting space. Attend industry events, webinars, or meetups to connect with others who work at Cognitive Group or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Be ready to discuss specific projects where you've successfully implemented AI solutions, highlighting your role and the impact of your work.
✨Tip Number 4
Brush up on your communication skills, especially when it comes to explaining complex AI concepts to non-technical stakeholders. Practising how to convey technical information clearly can set you apart in interviews.
We think you need these skills to ace Lead/Senior AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and AI roles. Emphasise your proficiency with Python, SQL, and any cloud platforms you've worked with, particularly Azure, AWS, or GCP.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your skills align with the role. Mention specific projects where you've successfully implemented AI solutions and how they benefited the business.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially those related to machine learning frameworks like scikit-learn, PyTorch, and TensorFlow. Highlight any certifications you have in AI/ML or cloud technologies.
Prepare for Ethical Considerations: Since the role involves ensuring ethical AI practices, be ready to discuss your understanding of AI ethics, compliance, and risk mitigation in your application. This shows you are not only technically proficient but also responsible in your approach.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your Technical Skills
As a Lead/Senior AI Consultant, you'll need to demonstrate your proficiency in machine learning frameworks like TensorFlow and PyTorch. Be prepared to discuss specific projects where you've applied these technologies, and how they contributed to successful outcomes.
✨Understand the Business Context
It's crucial to translate complex AI concepts into business value. Research the company’s clients and their industries, and think about how AI can solve their specific challenges. This will help you articulate tailored solutions during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach real-world scenarios, such as designing an AI architecture for a client or leading a multidisciplinary team through a project. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasise Ethical AI Practices
Given the importance of ethical AI, be ready to discuss how you ensure responsible AI practices in your work. Share examples of how you've addressed compliance and risk mitigation in previous projects, highlighting your commitment to ethical standards.
