Machine Learning Engineer

Be Amazed Media Ltd
London
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Do you want to influence the lives of millions of people every day?

Do you want to be part of a growing digital publishing company that will become one of the largest disseminators of knowledge in the world?

If you answered yes to those questions, you may be the person we're searching for.
We create original infotainment content published online to multiple digital assets in multiple languages. In a few years, we've accrued 9+ billion views and 25 million+ subscribers. We're perfectly positioned to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here:www.beamazed.media

We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools require us to extract, analyse and infer knowledge from our content which help to inform and shape our future content pipeline.

We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data.

You must be organised to ensure deadlines are met, and willing to take on new challenges. Our work is seen by millions of people each day all around the world, so your work will have a massive impact.

You should be looking for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth.

As a machine learning engineer, your role will involve:
Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance;
Building Interactive Dashboards for Data Visualisation and Analysis.;
Fine-tuning large language models (e.g. GPT 4), and working with our script writers to help us automate parts of our content generation pipeline;
Working with our team to proactively suggest ways in which technology can be applied intelligently to our work pipeline;

Ideal candidates should demonstrate:
Creative problem-solving skills, be open-minded and willing to collaborate with developers and other members of staff.
Communication skills to explain complicated solutions to all levels within a business.
A self-starter attitude with a diverse array of interests and a thirst for knowledge
A creative spark with a proven ability to think outside of the box

You MUST have the following skills:
Previous experience in building machine learning solutions in a commercial setting
Thorough knowledge of implementing supervised and unsupervised machine learning techniques
Production level Python, including building backends and command line tools
An enthusiasm for creating and optimising digital media
Quantitative degree from a top university

The following is DESIRABLE, not essential:
Candidates with previous experience with LLM models
Commercial Experience with Tensorflow / Keras
Developing cloud native systems
An enthusiasm for data visualisation and dashboarding

Benefits:
Making a serious impact from day one. We're an agile company at the forefront of digital content consumption, and your work will impact millions of people per day.
Competitive salary based on skills and experience
A great office located in Shoreditch right by Old Street Roundabout.
5 days per week, 9am-6pm with performance-related bonuses
Social office environment located right by silicon roundabout. Dog friendly, with free coffee/tea and regularly scheduled events with other companies sharing our building.
Significant opportunities for growth. We are looking for a senior developer to become a key and pivotal part of our team, ample to grow this segment of our company and lead others in the future.

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 Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.