Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Project Manager AI

TELUS Digital AI Data Solutions
Nottingham
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Machine Learning Manager (Spain)

Data Science Manager

Data Science Manager

Global Data Science Manager - MMM

Site Engineering Manager

We are seeking a highly experienced Senior Project Manager to lead our generative AI projects. The ideal candidate will act as a vital bridge between our clients' expectations and our team of experts, ensuring seamless delivery and alignment of our AI solutions with client objectives.



Key Responsibilities:

  • Project Leadership and Execution: Manage all aspects of project life cycles for generative AI initiatives, including planning, execution, monitoring, and closure. Ensure projects meet internal standards and client expectations.
  • Stakeholder Management: Serve as the senior point of contact for clients, maintaining robust communication and ensuring their needs are met. Coordinate closely with internal teams to align project objectives with technical capabilities and resources.
  • Strategic Guidance: Provide strategic input on the application of generative AI technologies in client projects. Advise on model selection, data utilization, and custom AI solutions.
  • Team Coordination: Oversee and support a diverse team of contributors, including data scientists, AI trainers, and technical writers, to ensure effective collaboration and productivity.
  • Quality Assurance: Monitor and assess project deliverables and milestones. Implement quality control processes to maintain high standards in all outputs.


Required Skills & Competencies:

  • Expertise in Generative AI: Deep understanding of LLMs, data models, and generative AI workflows. Experience in deploying AI technologies and fine-tuning them to specific business needs.
  • Advanced Project Management: Proven ability to manage complex, high-stakes projects with precision. Familiarity with project management tools and methodologies.
  • Communication Excellence: Exceptional communication skills with the ability to articulate complex technical details and project statuses effectively to stakeholders at all levels.
  • Strategic Thinking: Strong analytical and strategic planning abilities, capable of foreseeing potential challenges and devising effective solutions.
  • Leadership and Collaboration: Demonstrated leadership in managing diverse teams. Strong interpersonal skills to foster teamwork and collaboration across various groups.
  • Adaptability: Ability to thrive in a fast-paced, evolving environment. Flexible and responsive to feedback and changes in project scope or direction.


Qualifications:

  • Minimum of 5 years of project management experience, with at least 2 years in a leadership role within the technology or AI domain.
  • Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Professional certifications in Project Management (PMP, PRINCE2, Agile, Scrum, etc.) are highly desirable.
  • Fluency in English is required; additional European languages are a plus.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.