Chef Manager

Compass Group UK
Penicuik
4 days ago
Applications closed

Related Jobs

View all jobs

Chef Manager

Head Chef

Evening Chef

Chef De Partie- Casual- York

Head Chef

Head Chef

Were currently recruiting an ambitious Chef Manager to help us create exceptional food experiences for CH&CO on a full time basis, contracted to 40 hours per week. As a Chef Manager, you will be responsible for creating an outstanding culinary experience. In return, you will have the chance to progress your career with a company that invests in its people, celebrates individuality, and rewards and recognises employees who go beyond the plate. Could you bring your spark to CH&CO? Heres what you need to know before applying for a Chef Manager position with Compass Group UK&I. Working with us has its perks People are at the heart of everything we do, so weve developed a range of benefits and development opportunities: Great operational training and development Life assurance scheme Personal Development and Training opportunities - We are passionate about our growing team A great wellbeing strategy - including access to our Employee Assistance Programme Regular social events and communication with our leaders A holiday purchase scheme Access to some great high street discount vouchers Onsite free car parking Heres an idea of what your shift pattern will be: Mon: Full-time (Days) Tues: Full-time (Days) Weds: Full-time (Days) Thurs: Full-time (Days) Fri: Full-time (Days) Sat: Sun: Your key responsibilities will include: Preparing delicious, high-quality food that delights our clients and customers Identifying opportunities to improve our food service Supporting and training our teams, leading from the front to make sure everyone can excel in their role Delivering our tasty food concepts to our customers Ordering food, looking after stock control and controlling food waste Overseeing the efficiency of all catering operations, including managing inventories and implementing action plans Managing budgets and successfully meeting financial targets Implementing and reviewing Health & Safety standards to ensure compliance across all catering and service teams Our ideal Chef Manager will: Hold a City & Guilds 706/1 & 2 or NVQ equivalent Be passionate about great-tasting food and exceptional customer service Have experience managing teams in a similar role Be a brilliant communicator and easily build relationships Strive for excellence in an enthusiastic and motivated manner Be an ambitious and motivated individual who is always looking to upskill Possess the ability to work under pressure Demonstrate exceptional timekeeping and reliability Have a safety-first mindset Job Reference: com/3103/48314001/52729693/BU SCOT Gather and Gather CH&CO, a part of Compass Group UK&I, is committed to fostering an environment where every individual can truly be themselves at work and has equal opportunities to advance in their careers. We strive to build a culture that respects and celebrates the unique talents, beliefs, backgrounds, and abilities of all our team members. We want our colleagues to feel valued, empowered to reach their full potential, and to thrive - because diversity is our strength

Get the latest insights and jobs direct. Sign up for our newsletter.

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 for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.