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

Apply Now

Product Manager – Smart Diagnostics & Digitalization

Kingston upon Hull
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Engineering Manager – Product Safety

Product Manager – Smart Diagnostics & Digitalization

Location: Remote
Industry: Feed & Biofuel / Renewable Energy / Industrial Automation
Type: Full-Time | Permanent

About Us

We are working with a global leader in the design and construction of advanced feed and biomass production plants. Their mission is to deliver high-performance industrial solutions that maximize sustainability, efficiency, and uptime. As they expand their digital capabilities, we are looking for a Product Manager with a strong mechanical background and expertise in smart diagnostics and digital product development.

Role Overview

As Product Manager for Smart Diagnostics, you will lead the development of innovative digital tools to monitor and diagnose mechanical assets across a global customer base. This includes leveraging machine learning, sensor data, and domain expertise to reduce downtime and improve operational efficiency.

You’ll play a key role in conceptualizing, designing, and delivering digital products from scratch, bridging the gap between mechanical engineering and next-gen digital solutions.

Key Responsibilities

  • Design and develop digital diagnostic products for mechanical assets (e.g., pellet mills, conveyors, grinders).

  • Define and own the product roadmap for smart maintenance and condition monitoring solutions.

  • Utilize machine data, vibration analysis, and performance metrics to predict failure modes and optimize service schedules.

  • Apply machine learning models to real-world machine behavior in feed and biomass plants.

  • Collaborate with software engineers, data scientists, service engineers, and plant designers.

  • Engage with customers and stakeholders to understand their pain points and tailor solutions.

  • Lead end-to-end product lifecycle from idea to commercial launch.

  • Ensure full alignment with engineering, digital development, and commercial teams.

  • Contribute to building an intelligent service platform for the industry of tomorrow.

    What We’re Looking For

  • Mechanical Engineering degree or similar technical background.

  • Proven experience in diagnostic systems, predictive maintenance, or condition monitoring.

  • Strong understanding of mechanical asset behavior in industrial environments.

  • Experience applying machine learning models or working alongside data science teams.

  • Ability to create digital products from the ground up in a structured and user-centric way.

  • Excellent communication and cross-functional collaboration skills.

  • Experience in the Feed & Biofuel or biomass processing industry is highly desirable.

  • Fluent in English; additional languages are a plus.

    What We Offer

  • A key role in shaping the future of digital maintenance in renewable industries.

  • Opportunity to work with cutting-edge technologies and meaningful industrial applications.

  • A collaborative, international environment with significant autonomy.

  • Competitive salary and benefits package.

  • Travel opportunities and career progression within a global leader

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

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.