At a Glance
- Tasks: Lead AI strategy and innovation, driving transformative solutions for clients.
- Company: Join a pioneering tech firm focused on digital transformation and AI.
- Benefits: Enjoy private health insurance, generous vacation, and flexible work options.
- Other info: Be part of a culture that promotes ethical AI and continuous learning.
- Why this job: Shape the future of AI while collaborating with top industry professionals.
- Qualifications: 15+ years in tech leadership, with expertise in AI and data science.
The predicted salary is between 70100 - 100000 £ per year.
About Devtech
Devtech provides digital innovation services that help Fortune 1000 and emerging companies transform, scale, and disrupt. We partner with our clients to envision and develop next-gen digital and cloud solutions that drive tangible business outcomes through people and technology. Our mission is to empower every innovative business in the world to do what they do best - even better.
What You’ll Do
As VP of AI, you will lead Devtech’s AI vertical and shape the company’s vision, strategy, and execution in artificial intelligence, data science, and machine learning services. Your role will combine AI consulting leadership, business growth, and strategic innovation. You will drive how Devtech helps clients adopt, scale, and innovate with AI - from early discovery workshops and problem framing, to designing and delivering transformative, AI-driven solutions that generate measurable business outcomes.
You will lead a multidisciplinary organization of AI Engineers, Data Scientists, and Machine Learning Specialists, while ensuring AI capabilities are seamlessly integrated across all service lines and client engagements. You will be expected to model collaboration, transparency, and accountability, ensuring that our collective actions drive growth, client success, and a thriving company culture.
Externally, you will serve as a strategic AI partner and thought leader, facilitating discovery workshops, building trusted relationships with client executives, guiding their AI strategy, and representing Devtech in the broader AI community through speaking engagements, panels, and partnerships.
- Shape and execute Devtech’s AI strategy, ensuring alignment with business objectives, client needs, and market trends.
- Lead and performance manage a high-performing organization of AI and Data professionals, ensuring alignment, collaboration, and operational excellence across teams.
- Coach and mentor senior AI and data leaders to proactively identify challenges, foster innovation, and maintain high performance standards.
- Lead organizational design and technical leadership development of AI and Data vertical, ensuring sustainable team structures, clear career progression pathways, succession planning, and the growth of next-generation engineering leaders.
- Drive pre-sales consulting and opportunity development by facilitating discoveries, workshops, and solution framing sessions with clients - identifying how AI can create competitive advantage.
- Collaborate cross-functionally with Sales, Delivery, Product, Design, and Architecture leaders to shape go-to-market strategies, support presales and solution framing for strategic opportunities, and drive long-term client growth and partnership planning.
- Partner with the Delivery and Account Management teams to ensure smooth execution and delivery excellence in alignment with clients’ business goals for AI-driven projects, including standards, resourcing, and governance.
- Establish and evolve AI frameworks, data governance standards, and model development principles that ensure accuracy, scalability, security, and ethical use of AI across all solutions and client engagements.
- Serve as executive AI advisor for key clients, building and maintaining trusted relationships with C-level stakeholders (CTOs, CIOs, CDOs, and Chief Product Officers) and co-creating their AI roadmaps and adoption strategies, driving long-term partnerships, co-innovation opportunities, and customer satisfaction.
- Collaborate cross-functionality to create and launch new AI-enabled service lines, accelerators, and IP-based offerings, combining technology, design, and AI to enhance Devtech’s differentiation and scalability.
- Establish and track AI performance metrics, including project delivery success, service adoption, client satisfaction, and contribution to revenue growth.
- Build and nurture a Community of Practice for AI and Data, enabling knowledge sharing, experimentation, and continuous learning across engineering and delivery teams.
- Ensure all AI operations contribute to Devtech’s financial health, including margin optimization, accurate forecasting, and efficient resource utilization.
- Oversee AI vertical budgets, resourcing strategies, and technology investments to ensure financial performance and scalability.
- Participate in and co-facilitate company-wide and departmental leadership meetings, ensuring alignment on strategy, priorities, and cross-functional initiatives.
- Contribute to thought leadership and brand visibility, representing Devtech at conferences, panels, and in media publications as a voice of AI innovation and responsible adoption.
- Represent Devtech externally as a technology thought leader, speaking at events, contributing to industry discussions, and showcasing Devtech’s innovation and technical capabilities.
- Promote a culture of ethical AI use, experimentation, and accountability - positioning Devtech as a trusted AI enablement partner.
What You’ll Need
- 15+ years of experience in technology leadership roles, with at least 5 years in applied AI, data science, or machine learning space.
- Proven experience in designing, implementing, and scaling AI-driven solutions within technology consulting or digital services organizations.
- Strong understanding of AI/ML frameworks, cloud AI platforms (Azure, AWS, GCP), data pipelines, and MLOps practices.
- Demonstrated ability to advise C-level clients on AI strategy, organizational readiness, and transformation.
- Experience driving pre-sales, solution design, and innovation workshops that connect AI capabilities with measurable business value.
- Deep understanding of ethical AI, data governance, and responsible innovation principles.
- Strong leadership and people development skills, with experience mentoring senior AI or data leaders and fostering cross-disciplinary collaboration.
- Excellent communication, storytelling, and stakeholder management skills, with the ability to translate complex technical concepts into clear business impact.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Ph.D. preferred but not required).
- Experience in fintech, B2B SaaS, or data-driven platforms is a plus.
What we offer
- Private health insurance
- 25 days of vacation / PTO
- 7 days of sick leave at 100% pay
- Outstanding referral bonuses
- Paternity leave – 15 days for new dads
- Reduced working hours for the first month after returning from maternity
- Development program (training & conferences, internal knowledge sharing)
- Flexible work environment
VP of AI in London employer: Devtech
At Devtech, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As the VP of AI, you will not only lead a talented team but also have access to extensive professional development opportunities, including training and conferences, all within a flexible work environment that promotes work-life balance. With benefits like private health insurance, generous vacation time, and a commitment to ethical AI practices, Devtech is dedicated to empowering its employees to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land VP of AI in London
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We think you need these skills to ace VP of AI in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Devtech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Devtech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Devtech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Devtech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.