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 - Newcastle upon Tyne

Machine Learning Engineer - Newcastle upon Tyne

Machine Learning Engineer - Newcastle upon Tyne

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.