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
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist – Grid Innovation Model Development

Senior Machine Learning Engineer

Senior AI Agent Engineer (Machine Learning)

ML (Machine Learning) Engineer

Data Scientist

Data Scientist

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.