Lead/Senior AI Consultant

Cognitive Group | Part of the Focus Cloud Group; London; Hybrid; GBP 100,000 - 150,000; Full time

Job summary

Cognitive Group, a leading Microsoft partner, seeks a Senior or Lead AI Consultant in London. In this role, you'll architect transformative AI solutions and guide clients through their AI journey, working within a dynamic consulting team focused on innovation and collaboration. The position requires substantial experience in machine learning and data science, alongside proficiency in cloud technologies.

Qualifications

• Substantial experience in machine learning, data science, or applied AI roles.
• Hands-on experience with cloud platforms, particularly Azure, AWS, or GCP.
• Familiarity with generative AI frameworks and LLMs.

Responsibilities

• Engage directly with clients to capture their requirements and define tailored AI architectures.
• Lead multidisciplinary teams throughout delivery from planning and design to implementation.
• Define and build end-to-end ML workflows, ensuring ethical AI practices.

Skills

machine learning

data science

cloud platforms

Python

SQL

MLOps

data pipelines

Education

Certifications in AI/ML or cloud technologies (e.g., Azure AI Engineer, Google ML Engineer)

Tools

Azure

AWS

GCP

Job description

Cognitive Group | Part of the Focus Cloud Group provided pay range

This range is provided by Cognitive Group | Part of the Focus Cloud Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Cognitive Group | Part of the Focus Cloud Group

Homebased - Must be happy to travel to customer sites and London

Full-time, Permanent

Eligible for SC Clearance/Actively SC Cleared

Be part of a growing consulting team with a leading Microsoft Partner. This role is for a Senior or Lead AI Consultant, who willdeliver 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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