Technical Project Lead

EVONA
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Electronics Engineer

Graduate

Principal Electrical Engineer - EC&I

Nuclear Safety Case Engineer

Electrical Project Manager (Manufacturing)

TECHNICAL SALES ENGINEERS X 5 AI /ML

Technical Project LeadMidlands, Yorkshire Full time:Remote£35,000 - £50,000 Our client is an exciting start-up who areredefining the future of supply chain technology by leveraging AIand computer vision to bring unprecedented transparency andefficiency to global industries. Their cutting-edge solutionsempower businesses to trace products end-to-end, ensuring safety,quality, and ethical standards while driving operationalexcellence.With a focus on transforming how companies operate, thisfast-growing organization is backed by a diverse, talented teampassionate about making a tangible difference. Headquartered in avibrant tech hub and serving clients worldwide, they offer anexciting, high-energy environment where creativity, innovation, andimpact thrive.If youre ready to join a mission-driven team at theforefront of technological transformation, this is your opportunityto make your mark and shape the future of supply chains.The RoleWeare seeking a Technical Project Manager/Lead with hands-onexpertise in hardware and software deployments. Youll manageimplementations of AI-driven solutions at food productionfacilities across the UK and Europe, working with customers,technical teams, and external partners to ensure seamless delivery.This role involves both remote work and regular visits to customersites for 2-3 days at a time, with occasional planned weekend work(no more than twice a month).Key ResponsibilitiesGather scope andrequirements from customer sites.Collaborate with customers tocollect samples for AI model training.Develop and manage detailedproject plans.Oversee relationships with local suppliers andinstallation partners.Act as the customer’s voice to internalteams, ensuring alignment.Coordinate diverse stakeholders,including software teams, contractors, and on-site IT staff.LeadUser Acceptance Testing (UAT) and ensure smooth workflowintegration.Maintain accountability for project reporting, prioritysetting, and high-quality deliverables.Key PerformanceIndicatorsDeliver AI platform rollouts on time, within budget, andwith high customer satisfaction.Customize solutions for eachfacility, balancing customer needs with technicalcapabilities.About YouSolid technical background with experience inhardware and software implementations.Strong communication skills;able to work effectively with plant staff andmanagement.Exceptionally organized with a commitment tohigh-quality delivery.Collaborative, proactive, andcustomer-focused.Excited by innovation and technology, with anatural curiosity and problem-solving mindset.Comfortable workingin meat processing environments and managing diversestakeholders.Passionate about contributing to a mission-driven teamtransforming the global food industry.Package DetailsLocation:Midlands/Yorkshire with travel across EuropeSalary: Competitivebase salary, bonus structure, and benefitsFlexible work-from-homesetup with travel to customer sites

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

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

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.