At a Glance
- Tasks: Join us as a Machine Learning Engineer to analyse data and optimise video performance.
- Company: Be part of a fast-growing digital publishing company with 9+ billion views and 25 million subscribers.
- Benefits: Enjoy a competitive salary, a vibrant office environment, and significant growth opportunities.
- Why this job: Make a real impact on millions daily while shaping the future of digital content.
- Qualifications: Must have experience in machine learning solutions, Python skills, and a quantitative degree.
- Other info: Ideal for self-starters looking to lead in the media industry.
The predicted salary is between 36000 - 60000 £ per year.
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 the largest disseminator of knowledge in the world. 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 helps 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.
Machine Learning Engineer employer: Be Amazed Media Ltd
Contact Detail:
Be Amazed Media Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with our content and platforms. Understanding the type of infotainment we produce will help you tailor your discussions during interviews, showcasing how your machine learning skills can directly enhance our video performance.
✨Tip Number 2
Network with current employees or industry professionals who have experience in machine learning within digital media. Engaging in conversations about their challenges and successes can provide valuable insights that you can reference in your application process.
✨Tip Number 3
Stay updated on the latest trends in machine learning and digital media. Being able to discuss recent advancements or case studies during your interview will demonstrate your passion and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical examples. Think of specific instances where you've successfully implemented machine learning solutions, as this will highlight your ability to contribute effectively to our team from day one.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly any projects or roles where you've built solutions in a commercial setting. Emphasise your skills in Python and any experience with large language models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for digital media and how you can contribute to the company's mission. Mention specific examples of how your previous work aligns with the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your creative problem-solving abilities. Discuss situations where you've successfully collaborated with teams to implement machine learning solutions or optimise workflows.
Highlight Your Enthusiasm for Learning: Convey your thirst for knowledge and willingness to take on new challenges. Mention any recent courses, certifications, or personal projects related to machine learning or data visualisation that showcase your commitment to growth in this field.
How to prepare for a job interview at Be Amazed Media Ltd
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex problems in your previous roles. Highlight your creative approach and the impact of your solutions, especially in machine learning contexts.
✨Demonstrate Your Technical Expertise
Make sure you can confidently explain your experience with machine learning techniques, particularly supervised and unsupervised methods. Be ready to discuss your proficiency in Python and any relevant frameworks like TensorFlow or Keras.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since you'll be working with diverse teams, being able to communicate effectively with non-technical colleagues is crucial.
✨Express Your Enthusiasm for Growth
Convey your passion for the digital media landscape and your desire to grow within the company. Share your long-term aspirations and how this role aligns with your career goals, especially if you aim to lead in the future.