AI Engineer

Inspirec; United Kingdom; On-site; GBP 83,025 - 119,925; Full time

Job summary

A leading technology solutions provider in the UK is seeking a motivated AI/ML DevOps Engineer on a contract basis. The role involves prototyping and integrating AI models into real-world systems, focusing on user-centric solutions. The ideal candidate is proficient in Python and has experience with popular ML frameworks. This position requires strong problem-solving and analytical skills, along with the ability to thrive in agile environments.

Qualifications

• Experience in developing rapid prototypes using foundation models and APIs.
• Strong understanding of large language models and prompt engineering.
• Ability to work in agile or fast-moving environments.

Responsibilities

• Develop rapid prototypes using foundation models and modern AI tools.
• Design and implement prompting strategies and evaluation methods.
• Integrate AI capabilities into existing systems and workflows.

Skills

Proficient in Python

Experience with Hugging Face

Knowledge of LangChain

Familiarity with PyTorch

Familiarity with TensorFlow

Strong analytical skills

Problem-solving skills

Agile development experience

Job description

Overview

Inspirec has partnered with a dynamic and innovative leader in the technology industry, 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.
• 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.

Seniority & Employment

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Consulting
• Industries: IT Services and IT Consulting