Senior AI Consultant in London

Senior AI Consultant in London

London Full-Time 150000 - 190000 £ / year (est.) Home office (partial)
DataArt Solutions, Inc

At a Glance

  • Tasks: Lead AI strategy and implement innovative solutions for diverse industries.
  • Company: Join DataArt's cutting-edge AI Lab, driving transformation through technology.
  • Benefits: Enjoy health insurance, vacation, and a vibrant work environment with social events.
  • Other info: Dynamic role with opportunities for professional growth and impactful projects.
  • Why this job: Shape the future of AI while collaborating with top industry leaders.
  • Qualifications: 3-5+ years in AI or digital transformation with strong communication skills.

The predicted salary is between 150000 - 190000 £ per year.

DataArt AI Lab is looking for a Senior AI Consultant to join its core team and support a range of initiatives focused on AI‑driven transformation. The role involves close collaboration with AI Lab leadership and cross‑functional teams to design and implement AI solutions that enhance productivity, enable smarter workflows, and drive innovation across different domains and industries.

DataArt’s AI Lab helps organizations turn AI from experimentation into transformation — with practical, scalable solutions that drive real business outcomes. We combine strategic advisory, deep engineering, and reusable delivery accelerators through our Connect AI framework to enable smarter operations, faster decision‑making, and sustainable growth.

As part of our AI & ML team, you’ll lead and contribute to AI strategy and implementation initiatives — from roadmap design and maturity assessments to co‑building pilots and reusable solution patterns. You’ll work across industries and functions, applying GenAI, data science, and modern cloud‑native architectures to solve complex, high‑impact challenges. This role blends strategic thinking with hands‑on execution, and offers the opportunity to shape how AI is delivered at scale.

The estimated salary range for this position is from $190,000 per year.

Responsibilities
  • Lead AI strategy engagements from opportunity discovery through roadmap development, aligning AI adoption with client business goals, tech stack, and operating model.
  • Shape reusable solution architectures using modular components, copilots, and delivery accelerators from the Connect AI framework to ensure scalable, cross‑client value.
  • Translate complex AI capabilities into business impact, working closely with CxO‑level stakeholders to prioritize initiatives and quantify ROI.
  • Design and facilitate client workshops to align on goals, surface high‑impact use cases, and assess AI maturity across technical, organizational, and data dimensions.
  • Contribute to DataArt’s evolving AI offerings, including vertical accelerators, governance models, and productized services with pricing and go‑to‑market relevance.
Requirements
  • 3–5+ years in AI, digital transformation, or strategy consulting, ideally in client‑facing roles within tech‑driven or innovation‑led engagements.
  • Proven ability to define enterprise AI strategies and roadmaps, including maturity assessments, capability planning, and use case prioritization.
  • Strong business and technical fluency, with the ability to bridge AI/ML concepts and modern architectures with measurable executive‑level business value.
  • Experience designing reusable toolkits, delivery frameworks, or productized services — ideally contributing to IP‑backed consulting models.
  • Familiarity with GenAI ecosystems (e.g., LLMs, RAG, prompt engineering, agents) and their application across industry verticals and business functions.
  • Solid understanding of technical principles and architecture of ML/LLM applications and AI agents.
  • Hands‑on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML service offerings.
  • Strong communication skills and effective stakeholder management.
  • Master’s degree in Computer Science, AI, Machine Learning, or a related field.
Nice to have
  • Exposure to AI monetization models, including usage‑based pricing, enablement fees, or outcome‑driven commercial constructs.
Benefits
  • Vacation: As per the laws of your country. We do ask you to take a proper rest.
  • Health insurance: We help you to take out an insurance policy for you and your loved ones. According to the official calendar, regardless of the client’s schedule.
  • Pleasant environment: Two large corporate parties and many small get‑togethers for colleagues.
  • Comfort service: Solving technical and everyday problems at work. The benefits package may vary depending on the region and the type of contract.

Senior AI Consultant in London employer: DataArt Solutions, Inc

DataArt is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its AI Lab. Employees benefit from a strong focus on professional growth through hands-on experience with cutting-edge AI technologies, alongside comprehensive health insurance and a supportive environment that encourages team bonding through corporate events. With a commitment to transforming AI into practical solutions, DataArt offers a unique opportunity for meaningful contributions across diverse industries while ensuring a balanced work-life dynamic.

DataArt Solutions, Inc

Contact Details:

DataArt Solutions, Inc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Consultant in London

Tip Number 1

Network like a pro! Reach out to your connections in the AI and tech space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

Tip Number 2

Show off your expertise! Create a portfolio showcasing your AI projects, case studies, or any relevant work. This not only highlights your skills but also gives potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to AI strategy and implementation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving abilities.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in joining our team.

We think you need these skills to ace Senior AI Consultant in London

AI Strategy Development
Roadmap Design
Maturity Assessments
Use Case Prioritisation
Business Impact Translation
Stakeholder Management
Reusable Solution Architectures

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Consultant role. Highlight your experience in AI strategy and digital transformation, and show how your skills align with our mission at DataArt's AI Lab.

Showcase Your Impact:When detailing your past roles, focus on the tangible results you've achieved. Use metrics to demonstrate how your AI solutions have driven business outcomes, as we love seeing real-world impact!

Be Authentic:Let your personality shine through in your application. We value genuine passion for AI and innovation, so don’t hesitate to share your unique perspective and experiences that make you a great fit for our team.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our AI Lab!

How to prepare for a job interview at DataArt Solutions, Inc

Know Your AI Stuff

Make sure you brush up on the latest trends in AI and how they apply to business. Be ready to discuss specific AI strategies you've implemented in the past and how they drove measurable outcomes. This will show that you’re not just knowledgeable but also practical in your approach.

Showcase Your Communication Skills

Since you'll be working closely with CxO-level stakeholders, it's crucial to demonstrate your ability to translate complex AI concepts into business value. Prepare examples of how you've effectively communicated technical information to non-technical audiences in previous roles.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems or design AI solutions on the spot. Practice articulating your thought process clearly and logically, as this will highlight your strategic thinking and hands-on execution skills.

Familiarise Yourself with Their Framework

Research DataArt’s Connect AI framework and think about how your experience aligns with their approach. Be prepared to discuss how you can contribute to shaping reusable solution architectures and enhancing their AI offerings.