Senior AI Consultant

Omnis Partners
Greater London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior / Principal Recruitment Consultants - Data / Technology Perm & Interim

Head of AI & Data Science

Analytics Manager

Analytics Manager

Analytics Manager

This range is provided by Omnis Partners. 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 Omnis Partners

Associate Director - Data & AI at Omnis Partners

Senior AI Consultant

Join a Global Leader in Management Consulting as they scale their UK AI Expert Team

Are you a tech-savvy innovator passionate about harnessing the power of cutting-edge technology to transform businesses? Do you have deep expertise in developing LLMs, Agentic AI and Generative AI solutions? If so, we want to hear from you!

We are currently partnered with a globally recognized management consulting firm at the forefront of technology solutions design to scale a team of AI Consultants at varying levels.

They empower organizations with innovative solutions that drive growth, efficiency, and value. With a presence in over 50 countries, they collaborate with top-tier clients to solve their most pressing challenges.

The Role

As a Client-Facing Technology Consultant specializing in AI, you will:

  • Advise & Strategize: Partner with senior stakeholders to identify opportunities where LLMs, Agentic AI and Generative AI can drive meaningful business outcomes.
  • Innovate & Build: Design, develop, and implement a portfolio of scalable AI solutions tailored to client needs, leveraging the latest advancements in NLP, Agentic AI and Generative AI.
  • Collaborate & Deliver: Work closely with multidisciplinary teams, including Data Scientists, Software Engineers, and Business Strategists, to deliver impactful AI solutions.
  • Educate & Inspire: Lead workshops and training sessions to demystify AI technologies and foster adoption among client teams.

What You Bring

  • Technical Expertise: Proven experience in developing and deploying a variety of AI applications in a business or client facing setting.
  • Business Acumen: A strong ability to translate complex technical concepts into business value for non-technical audiences.
  • Client-Facing Skills: Exceptional communication and interpersonal skills, with a track record of building trusted relationships with clients.
  • Innovation Mindset: A passion for staying ahead of technology trends and driving creative, data-driven solutions.
  • Educational Background: Educated to at least Degree level in Computer Science, AI, Engineering, or a related field. Advanced degrees are a huge plus.

Why This Opportunity?

  • Global Impact: Collaborate with industry-leading clients on transformative projects.
  • Career Growth: Accelerate your professional development with access to world-class training and mentorship.
  • Innovative Environment: Be part of a forward-thinking team that values curiosity, creativity, and innovation.
  • Inspiring Leadership: Work under the mentorship and guidance of a highly revered AI leader; PhD in AI, extensive experience in consulting and technology, passionate, energetic and highly engaging character.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Consulting, and Science

Industries

Business Consulting and Services, Technology, Information and Media, and IT Services and IT Consulting

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.