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

Apply Now

Manufacturing Data Engineer

83zero Ltd
Hadley
6 months ago
Applications closed

Related Jobs

View all jobs

Manufacturing Data Engineer

Data Engineer (Microsoft D365 ERP)

Data Engineer

Azure Data Engineer - Hybrid

Senior Data Engineer

Azure Data Engineer

Manufacturing Data EngineerLocation: Telford Contract Duration: 12 months Hourly Rate: £200 - £220 per day (Inside IR35, Umbrella) Start Date: ASAP Working Hours: 37.5 hours per week (4 days at 8.25 hours, 1 day at 4 hours)Flexible/Remote Work: Ideally onsite, though flexible working options may be discussed.83zero is partnering with a manufacturing client in Telford to find an experienced Manufacturing Data Engineer. This role is essential for modernizing their operations by implementing a new MRP system and integrating Power BI reporting. You will collaborate closely with the integration team on this standalone project, helping transition the company from a manual, spreadsheet-dependent workflow to a more efficient, digital approach.Key Responsibilities:Design, develop, and modify software applications for the target system using agile methodologies.Collect client requirements and enhance workflows through automation.Create new application code and refine existing code.Utilize automated testing tools for software testing and maintenance.Required Experience:Proven experience in manufacturing environments.Expertise in Power BI, EAP, QAD, or MRP systems.Strong understanding of the software development life cycle.Minimum of 3 years of experience working with systems and software.Please send your CV to AARON . PERDESI @ 83ZERO . COM to Apply

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.