Freelance Group Creative Head

TN United Kingdom
London
4 days ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI Training (College Degree Required)

AI Trainer for Chemistry (College Degree Required)

AI Training for Mathematics (College DegreeRequired)

Associate Design Director

AI Trainer for Norwegian Writers/Speakers (College DegreeRequired)

AI Training for Mathematics (College DegreeRequired)

Social network you want to login/join with:

Location:APAC (Thailand, Malaysia and Indonesia)

We do not have any open positions right now, but we would still love to hear from you!

We will keep your details on our database and contact you when a suitable position becomes available later in the year.

You are an artist: beyond everything else, you love to make things look amazing, guiding and overseeing the aesthetic integrity of every project from start to finish. Brand films, online content, concepts and moodboards, engaging comms, impactful websites, clickable social posts, brand experiences, complementary product imagery and everything else that comes along.

You are a conceptual thinker with a curious and imaginative mind: you thrive on challenging yourself with new topics and genres - from advertising concepts to new digital products, brand strategy to social media. You’ve either done it before or are keen to learn more.

You are a technophile: you love to stay at the cutting edge of technology, and the interactions between behaviour, culture and digital platforms and products. Someone with a keen interest in the future.

You are a natural entrepreneur and collaborator: you’re equally happy working in a creative team to brainstorm a campaign as you are working with designers and developers to build a new product - or working on your own to reimagine the visual redirection of a brand.

What you’ll bring

  1. Experience working with global technology brands such as Google, or equivalent
  2. Understanding and ability to use the latest design softwares, including Adobe Creative Suite
  3. A great eye for art direction, bringing big ideas to life in compelling ways
  4. Comfortable working both independently and as part of a team
  5. Knowledge of current technologies and products influencing the creative landscape
  6. Experience of working with g-suite (Google docs, drives, slides) would be a bonus
  7. Awards and industry recognition would be a bonus
  8. A well-rounded portfolio that showcases your thinking ability, craft, innovative ideas and inspiring creative solutions

The Agency

Unleash your creativity at Toaster, the award-winning agency thats shaking things up across the globe.

Born in London, weve spread our wings to San Francisco and New Delhi, collaborating with industry giants like Google, Samsung, and YouTube for over a decade.

But were not just about big names. Were passionate about building a team that reflects the vibrant diversity of the world around us. We believe that different perspectives spark better ideas, leading to groundbreaking work and exceptional results.

So, if youre ready to be yourself and push boundaries, we want to hear from you! We welcome applicants of all backgrounds and encourage you to bring your unique talents to the table. If you need any adjustments during the process, dont hesitate to reach out to our friendly People team.

J-18808-Ljbffr

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.