National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer

Be Amazed Media Ltd
London
2 weeks ago
Create job alert

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.

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer | £50k–£70k + Equity | Remote (UK)

Machine Learning Engineer | £50k–£70k + Equity | Remote (UK)

Machine Learning Engineer (PhD)

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.