Product Manager

Sunderland
8 months ago
Applications closed

Related Jobs

View all jobs

Product Manager - Machine Learning

Product Manager - Machine Learning

AI Product Manager - Data Science (Energy) - London

AI Product Manager - Data Science (Energy) - London

Product Analytics Data Analyst - Funnel & Conversion

Machine Learning Engineer

Product Manager

Salary: Market Leading + Bonus + Exceptional Benefits

Location: Sunderland

My client is a rapidly growing FTSE-listed international organisation, who we are supporting with their exciting growth plans across a number of key areas, including a very well-established software solution aimed at the Professional Services sector, which they already deliver to 1,000+ customers across 150 countries.

Key to their growth is appointing a Product Manager who will be responsible for the creation of digital offerings to their clients - this is a high profile, exciting role reporting directly into the MD, which would suit someone who enjoys cradle to grave new product delivery. You will be a naturally curious individual who is interested in new and emerging technologies with demonstrable success in delivering new software products, that delight customers, on time and within budget.

The Role

  • Full end-to-end responsibility for the creation of digital offerings to their clients

  • Define and drive the strategic product vision for their solutions, ensuring alignment with business objectives and market leadership position

  • Gathers requirements from customers, users and stakeholders

  • Orchestrate customer workshops and advisory boards to gain insights into evolving market needs, translating these insights into strategic product initiatives

  • Lead market analysis to identify untapped opportunities and develop innovative approaches that position their solutions at the forefront of their industry

  • Establish and maintain a forward-looking product roadmap that balances immediate customer needs with long-term strategic positioning and technological innovation

  • Champion the integration of emerging technologies such as AI, machine learning and advanced analytics to enhance data processing, reporting capabilities and predictive insights

    The Person

  • Demonstrable experience of delivering new software products that achieve revenue targets, on time and within budget

  • Experience of successful software / application delivery from concept to implementation

  • Experience of working with C Suite to influence buying decisions with well thought out business cases

  • Strategic thinker with ability to produce excellent product vision and roadmap

  • Experience of working with AI

  • Open to corporate or SME experience, but must have exposure to and comfort working in fast-paced agile environments

  • Entrepreneurial – seeks and identifies opportunities to maximise value for the end user and the business

    Based at their Sunderland office, the package is market leading, will be tailored around the appointed individual and is intended to attract and retain leading talent, including a compelling base, rewarding OTE + exceptional benefits.

    This is a fantastic opportunity to join a leading organisation at an exciting time with genuine opportunities for career development and progression

    If you feel you have the qualities our client is seeking, please forward your CV and covering letter indicating your current package to Ian Miller at GEM Partnership or for a discreet conversation call our Peterlee office.

    GEM Partnership are acting as an employment agency on this vacancy

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.