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
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x)

Technical Pricing Manager / Senior Data Scientist - Home Insurance

Senior Data Scientist - Home Insurance

Senior Data Scientist - Home Insurance

Senior Data Scientist - Home Insurance

Data Scientist-Senior 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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.