National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Manager – Digitalization

Oxford
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst – Business Analytics (12 month FTC)

Maintenance Administrator & Data Analyst

Senior Product Manager, NLP

senior technical product manager

Data Analyst/Project Manager

Product Owner

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
National AI Awards 2025

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.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.