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- Tasks: Design and optimise AI solutions for audio and video processing.
- Company: Join a global leader in audio and content creation tools.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for growth.
- Why this job: Be at the forefront of AI technology in a creative industry.
- Qualifications: Strong Python skills and experience with AI model fine-tuning required.
- Other info: Bonus points for expertise in speech models or cloud AI services.
Applied AI Engineer
Marlow/High Wycombe, UK (hybrid) Full-Time Permanent 50,000 to 100,000 (DOE)
I am currently recruiting for a global leader in designing and manufacturing of audio and content creation tools, from microphones to audio interfaces, using AI technologies to enhance the future of audio and video processing.
We are looking for an Applied AI Engineer to design, implement, and optimise AI solutions that enhance internal business operations. You will take existing AI models (LLMs, speech models, document intelligence, etc.), fine-tune them on company data, and integrate them into usable tools for their teams.
What You\’ll Do:
- Fine-tune and adapt existing AI models (LLMs, document understanding, speech, vision) to internal business needs.
- Build and manage datasets for training and evaluation (structured + unstructured data from operations).
- Deploy models into production-ready services accessible by non-technical staff (e.g. APIs, dashboards, chatbots).
- Optimise models for speed, cost, and accuracy in day-to-day use.
- Automate data workflows and build pipelines to feed models with clean, updated data.
- Work with the AI Integration Lead to scope projects, test prototypes, and deliver operational improvements.
- Document solutions and provide light training/support to business users.
What We\’re Looking For:
- Strong programming skills in Python (PyTorch, Hugging Face, scikit-learn).
- Experience with fine-tuning / adapting pre-trained AI models.
- Solid data handling skills (SQL, Pandas, preprocessing for text, audio, or images).
- Familiarity with model deployment (FastAPI, Flask, Docker, cloud services).
- Experience working with APIs and integrating AI into practical tools.
Bonus if you bring expertise in:
- Speech/audio models (ASR, diarization, TTS) or document intelligence (OCR, NER).
- Knowledge of ML Ops (experiment tracking, monitoring, CI/CD for ML).
- Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, Azure ML).
- Exposure to business process improvement or automation.
If this role is of interest and you would like to learn more, please get in touch. You can reach me via:
- Email: (url removed)
- LinkedIn: Sabrina Velosa LinkedIn
Please reach out with your most recent CV if you have this on hand.
Applied AI Engineer employer: SoCode Limited
Contact Detail:
SoCode Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer
✨Tip Number 1
Familiarise yourself with the specific AI models mentioned in the job description, such as LLMs and speech models. Having a solid understanding of these technologies will help you demonstrate your expertise during any discussions or interviews.
✨Tip Number 2
Network with professionals in the AI field, especially those who have experience in audio and content creation tools. Engaging with industry experts can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your experience with model deployment and data handling. Be ready to share specific examples of how you've successfully integrated AI solutions into practical applications, as this will be crucial for the role.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI technologies, particularly those related to audio processing. This knowledge will not only enhance your conversations but also show your genuine interest in the field during the application process.
We think you need these skills to ace Applied AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Applied AI Engineer position. Understand the key responsibilities and required skills, as this will help you tailor your application effectively.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that match the job requirements. Emphasise your programming skills in Python, experience with AI models, and any familiarity with deployment tools or cloud services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background aligns with the company's goals. Mention specific projects or experiences that demonstrate your ability to fine-tune AI models and integrate them into practical applications.
Double-Check Your Application: Before submitting, review your application for any errors or missing information. Ensure that all requested documents are included and that your contact details are correct, as this will reflect your attention to detail.
How to prepare for a job interview at SoCode Limited
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python, especially with libraries like PyTorch and Hugging Face. Bring examples of projects where you've fine-tuned AI models or worked with data handling tools like SQL and Pandas.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've solved complex problems using AI solutions. Be ready to explain how you approached these challenges and the impact your solutions had on previous projects.
✨Familiarise Yourself with Their Products
Research the company's audio and content creation tools. Understanding their products will help you tailor your answers and show genuine interest in how your role as an Applied AI Engineer can enhance their offerings.
✨Prepare Questions About the Role
Have insightful questions ready about the team's current projects, the technologies they use, and how they measure success. This shows your enthusiasm for the position and helps you gauge if it's the right fit for you.
