

AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer on a contract basis, lasting up to £500 per day, fully remote. Key skills include Python, ML frameworks (Hugging Face, PyTorch, TensorFlow), and experience with large language models and agile environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Python #ML (Machine Learning) #TensorFlow #Langchain #PyTorch #Hugging Face #Model Evaluation #Agile #AI (Artificial Intelligence) #DevOps
Role description
OUTSIDE IR35 + REMOTE – UP TOO £500 P/D
Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highly motivated AI/ML DevOps Engineer to join their team on a contract basis.
We are seeking an AI Engineer to rapidly prototype and integrate AI models—particularly foundation models—into real-world systems and workflows. This role requires a strong balance of technical expertise and user-centric thinking to deliver AI solutions that are both effective and usable.
Key Responsibilities
• Develop rapid prototypes using foundation models, APIs, and modern AI tools.
• Design and implement prompting strategies and establish evaluation methods for model behavior.
• Conduct lightweight fine-tuning or model adaptation to align AI outputs with application needs.
• Integrate AI capabilities into existing systems, workflows, and product environments.
• Work closely with user researchers and stakeholders to iteratively improve prototypes based on feedback and usability testing.
• Support the evaluation of AI solutions against technical performance benchmarks and user-defined success criteria.
Essential Skills & Experience
• Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow.
• Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts.
• Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments.
• Familiarity with AI model evaluation methods, including awareness of bias, limitations, and ethical considerations.
• Strong analytical and problem-solving skills with a bias toward experimentation and iteration.
OUTSIDE IR35 + REMOTE – UP TOO £500 P/D
Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highly motivated AI/ML DevOps Engineer to join their team on a contract basis.
We are seeking an AI Engineer to rapidly prototype and integrate AI models—particularly foundation models—into real-world systems and workflows. This role requires a strong balance of technical expertise and user-centric thinking to deliver AI solutions that are both effective and usable.
Key Responsibilities
• Develop rapid prototypes using foundation models, APIs, and modern AI tools.
• Design and implement prompting strategies and establish evaluation methods for model behavior.
• Conduct lightweight fine-tuning or model adaptation to align AI outputs with application needs.
• Integrate AI capabilities into existing systems, workflows, and product environments.
• Work closely with user researchers and stakeholders to iteratively improve prototypes based on feedback and usability testing.
• Support the evaluation of AI solutions against technical performance benchmarks and user-defined success criteria.
Essential Skills & Experience
• Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow.
• Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts.
• Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments.
• Familiarity with AI model evaluation methods, including awareness of bias, limitations, and ethical considerations.
• Strong analytical and problem-solving skills with a bias toward experimentation and iteration.