At a Glance
- Tasks: Identify AI opportunities and develop innovative solutions that drive business impact.
- Company: Revelator, a leading provider of business solutions for the music industry.
- Benefits: Competitive salary, benefits, and opportunities for career growth.
- Other info: Collaborative environment with freedom to define AI strategy.
- Why this job: Join us to explore and innovate with cutting-edge AI technologies.
- Qualifications: 5+ years in AI/ML Engineering and strong programming skills.
The predicted salary is between 81000 - 99000 £ per year.
ABOUT REVELATOR: Revelator is a leading provider of business solutions for the music industry. Our all-inclusive B2B platform, API, and digital infrastructure enhance efficiency in music distribution, financial reporting, and simplify royalty operations. We offer a wide range of services, including catalog management, supply chain, income tracking, rights management, and business intelligence. By leveraging our innovative solutions, music businesses can easily navigate the evolving landscape and capitalize on new opportunities.
ABOUT THE ROLE We are seeking a Senior AI Engineer who is technically skilled and highly creative in identifying AI opportunities across the company. You’ll play a key role in proactively exploring ways to leverage vast amounts of structured and unstructured data, building AI-driven solutions that drive business impact—whether in Fraud Detection, Sales Optimization, Operations Automation, or entirely new areas we haven’t thought of yet. This role is ideal for someone who enjoys hands-on AI/ML development and strategic problem-solving, with a strong background in Azure, Snowflake, and scalable AI architectures.
Key Responsibilities
- Proactively Identify AI Opportunities – Work closely with various teams to uncover high-value AI use cases and turn company-wide data into actionable insights.
- Innovate with AI Solutions – Develop and deploy predictive models, automation solutions, and AI-powered tools that optimize business processes and decision-making.
- Maximise Data Potential – Leverage the company’s large datasets to develop new AI-driven applications, from customer insights to operational efficiency improvements.
- Scalable AI/ML Infrastructure – Design and manage end-to-end AI pipelines on Azure and Snowflake, ensuring efficient data processing and model deployment.
- MLOps & AI Automation – Automate model lifecycle management with Azure Machine Learning, Apache Airflow, and CI/CD workflows for scalable AI operations.
- Cross-functional collaboration – Partner with engineering, product, and business teams to align AI initiatives with company goals.
- Stay Ahead of AI Trends – Keep up with the latest in AI/ML research, tools, and techniques to continuously improve company-wide AI capabilities.
Requirements
- 5+ years in AI/ML Engineering, Data Science, or MLOps.
- Proven ability to identify and implement AI solutions beyond traditional ML use cases.
- Strong programming skills in Python, Scala, or Java with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with Azure (Azure ML, Databricks, AKS), Snowflake, and Terraform.
- Expertise in data engineering, real-time processing (Apache Flink, Kafka, Spark), and big data analytics.
- Deep knowledge of MLOps best practices, CI/CD pipelines, and AI automation.
- Strong problem-solving skills with a creative, business-driven mindset.
- Excellent spoken and written English.
Preferred Qualifications
- Experience in AI-driven business applications (e.g., Fraud Detection, Sales Optimization, Process Automation).
- Strong background in AI for structured and unstructured data.
- Contributions to open-source AI/ML projects.
- Passion for exploring new AI applications and emerging trends.
Why Join Us?
- Freedom to explore and innovate—we have the data, and we want someone who can help us do something amazing with it.
- Opportunity to define AI strategy in a company that values experimentation and impact.
- Collaborative, fast-paced environment with cutting-edge AI/ML tools.
- Competitive salary, benefits, and career growth opportunities.
Senior AI Engineer in London employer: The Revelator
Revelator is an exceptional employer for a Senior AI Engineer, offering a dynamic and collaborative work environment where innovation thrives. With access to vast datasets and cutting-edge AI/ML tools, employees are empowered to explore and implement impactful solutions that drive the music industry forward. The company prioritises employee growth through competitive salaries, comprehensive benefits, and opportunities to shape AI strategy, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Revelator!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Revelator.
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We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Revelator, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Revelator. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Revelator
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Revelator!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
