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- Tasks: Join us to revolutionise creative campaigns using AI and multi-modal data.
- Company: Work with a leading global agency in the financial services sector.
- Benefits: Enjoy a competitive day rate, hybrid/remote work, and a fast interview process.
- Why this job: Be part of an innovative project that replaces traditional testing with cutting-edge AI insights.
- Qualifications: Must have experience with OpenAI CLIP, Python, and multi-modal AI techniques.
- Other info: Initial onboarding in the office, then mostly remote; potential for contract extension.
The predicted salary is between 130000 - 156000 £ per year.
Contract - Multi-Modal AI Specialist (OpenAI CLIP) | Up to £650/day | Outside IR35 | Hybrid/Remote
We're working with a leading global agency supporting a major financial services client on an innovative AI initiative. The project aims to predict the performance of creative campaigns before they go live, replacing traditional A/B testing with pre-launch modelling that leverages multi-modal data (images, video, and text) and customer research. This is a hands-on contract role for a technically strong machine learning specialist with experience applying OpenAI CLIP. Using historical data, you'll use open-source models to assess campaign creative and help deliver insights at both content and audience levels.
Key responsibilities:
- Apply OpenAI CLIP or similar models to campaign imagery, video content, and customer research (e.g., surveys)
- Build models that simulate campaign performance using historical data (backtesting)
- Pre-test creative content, score ad copy, and identify attributes driving success
- Work with customer data (NLP) and translate insights into model features
- Deliver post-campaign breakdowns by audience segment (e.g., high-value customers)
Must-have technical skills:
- Proven experience with OpenAI CLIP (essential)
- Strong track record with multi-modal AI (image, video, text)
- Solid Python programming skills
- Deep understanding of statistics and model evaluation
- Comfortable working with NLP and customer research data
Contract details:
- Day rate: Up to £650/day
- Outside IR35
- Initial office-based onboarding (1 week), then mostly remote
- 3-month contract with potential to extend
- Fast interview process: 30-min intro + 1-hour technical
Please send your CV if interested.
Multi-Modal AI Specilist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Multi-Modal AI Specilist
✨Tip Number 1
Familiarise yourself with OpenAI CLIP and its applications in multi-modal AI. Consider working on personal projects or contributing to open-source initiatives that utilise CLIP, as this hands-on experience will make you stand out during the interview process.
✨Tip Number 2
Brush up on your Python programming skills, especially in libraries relevant to machine learning and data analysis like TensorFlow or PyTorch. Being able to demonstrate your coding proficiency in a technical interview can significantly boost your chances.
✨Tip Number 3
Prepare to discuss your understanding of statistics and model evaluation techniques. Be ready to explain how you've applied these concepts in past projects, particularly in relation to campaign performance and customer insights.
✨Tip Number 4
Network with professionals in the AI and machine learning community. Engaging in discussions on platforms like LinkedIn or attending relevant meetups can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Multi-Modal AI Specilist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with OpenAI CLIP and multi-modal AI. Include specific projects where you've applied these skills, focusing on the impact of your work.
Craft a Strong Cover Letter: Write a cover letter that connects your background in machine learning and statistics to the role. Emphasise your hands-on experience with Python and how it relates to the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Detail how you used historical data for backtesting and any insights you derived from customer research data.
Prepare for Technical Questions: Since the interview process includes a technical component, brush up on your knowledge of model evaluation and NLP. Be ready to discuss your approach to applying OpenAI CLIP in practical scenarios.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your experience with OpenAI CLIP and multi-modal AI during the interview. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your hands-on expertise.
✨Prepare for Technical Questions
Given the role's focus on machine learning and model evaluation, expect technical questions related to Python programming, statistics, and model performance. Brush up on these topics and be ready to explain your thought process clearly.
✨Demonstrate Problem-Solving Abilities
The project involves predicting campaign performance, so be prepared to discuss how you approach problem-solving in a data-driven context. Use examples from past experiences to illustrate your analytical skills and creativity.
✨Understand the Business Context
Familiarise yourself with the financial services sector and how AI can impact marketing strategies. Showing that you understand the business implications of your work will set you apart and demonstrate your commitment to delivering value.
