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

Apply Now

Production Planner Analyst

Ambitek Limited
Bolton
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst and Production Planner

Senior Data Engineer

AI Data Engineer

Production LLM Engineer - AI Systems & MLOps

Data Scientist & ML Engineer — Production-Grade AI (Hybrid)

Senior Data Engineer

Business Planner/Data Analyst.Our client, based in Bolton, is looking to recruit an experienced Business Analyst from a Manufacturing / Engineering background. They work within several sectors from Nuclear to Petrochemical.Job Description:The role of the business planner is to assist the Business Planning Manager to create and update schedules enabling the business to achieve client demands and to provide data to measure performance.Responsibilities & Duties: * Scheduling of engineering and manufacturing tasks to meet contract and business demands * Updating of schedules in line with progress and contractual movement * Pipeline analysis of capacity/loading * Business performance analysis * Preparation of data for analysis and visual management * Management of MRP system * Any other ad hoc duties as may be required, and as commensurate with the grade of post.Qualifications, Knowledge, Experience & Skills:• Excellent Microsoft Excel skills essential• Microsoft Power BI experience desirable• Experience of business scheduling or data analytics desirable• Experience of MRP/ERP systems• Excellent communication skills• Experience of working in a manufacturing environment is advantageousSalary:£35-£40K pa –dependant on experience, looking for someone who has already been out in the world of work and very proficient on Excel and preferably has BI experienceHours:Monday – Friday:37 hours per week (Normally 08.00 – 5.00 pm Mon – Thurs, Friday 08.00 – Noon)Please send your CV in the first instance or contact Steve @ Ambitek

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.