At a Glance
- Tasks: Lead a team to build an innovative AI-driven video search platform.
- Company: Join a global entertainment leader with a focus on cutting-edge technology.
- Benefits: Competitive salary, bonuses, travel allowance, and remote work options.
- Other info: Exciting growth opportunities in a well-funded AI lab.
- Why this job: Shape tools that empower artists and creative teams using state-of-the-art AI.
- Qualifications: Experience in machine learning and leadership in engineering teams.
The predicted salary is between 80000 - 100000 £ per year.
Location: London / Remote Europe Considered
Compensation: Competitive Base Salary + Bonus + Travel Allowance
About the Role
We are seeking a hands‑on ML Tech Lead to build and lead a brand‑new team in a recently created, well‑funded AI initiative. You’ll be responsible for shaping the direction of a cutting‑edge platform for AI‑driven video search and discovery, combining audio, video, and text data. This is a high‑visibility role with the chance to impact creative teams and artists globally.
Key Responsibilities
- Lead a multidisciplinary team of backend, frontend, and AI engineers
- Architect and develop a multimodal AI search platform (video, audio, text)
- Design and build scalable content ingestion, indexing, and retrieval systems
- Integrate ML models into production search infrastructure (vector search, Elasticsearch/OpenSearch)
- Mentor engineers and foster a high‑impact, collaborative team environment
- Deliver robust, production‑ready systems on modern cloud infrastructure
What We’re Looking For
- Strong experience in machine learning, especially multimodal models
- Hands‑on technical expertise in building large‑scale search or recommendation systems
- Proficiency in cloud‑based architectures and scalable production systems
- Leadership experience: building, mentoring, and guiding engineering teams
- Passion for music, media, or creative technology is a plus
Why This Role is Exciting
- Lead a newly created, high‑impact initiative within a global entertainment leader
- Work with massive audiovisual datasets and state‑of‑the‑art AI technology
- Shape tools that directly support artists, creative teams, and content discovery
- Be part of a well‑funded, forward‑thinking AI lab with long‑term growth opportunities
ML Tech Lead - Multimodal AI employer: DeepRec.ai
At DeepRec.ai, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through our focus on cutting-edge AI technologies and the opportunity to lead transformative projects that have a real impact on the future of science. With competitive compensation, a supportive environment, and the chance to work alongside industry leaders, we provide a unique platform for engineers passionate about making a difference in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land ML Tech Lead - Multimodal AI
✨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 DeepRec.ai!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Tech Lead - Multimodal AI at DeepRec.ai.
✨Leverage Professional Networks
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 DeepRec.ai.
✨Apply Directly through Our Website
When you find a suitable opening like ML Tech Lead - Multimodal AI at DeepRec.ai, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ML Tech Lead - Multimodal AI
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 DeepRec.ai, 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 DeepRec.ai. 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 DeepRec.ai
✨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 DeepRec.ai!
✨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.
