AI Engineer

Join us as an AI Engineer for our client.

At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now.  

How Specialist Talent Works: 

At Peregrine, we find the best talent for our clients. As a permanent employee of Peregrine, with access to all our standard benefits, you will be deployed across our portfolio of clients as a specialist consultant, working on a wide array of complex projects across multiple industries. 

The Role: 

We are seeking a flexible and driven Data Scientist/AI Engineer to prototype, develop, and scale impactful AI solutions. This hands-on role involves close collaboration with data scientists and cross-functional teams across the AI workflow—from exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A strong understanding of responsible AI practices and a passion for experimentation and continuous learning are essential.

Responsibilities:

Design, prototype and implement AI models in collaboration with diverse teams.

Collaborate with product managers, engineers and domain experts to align solutions with real-world needs.

Ensure that AI solutions are responsible, ethical and align with governance standards.

Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation.

Contribute to a culture of curiosity, experimentation and continuous learning within the team.

Skills & Experience:

You will have the following skills or proven experience:

Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers)

Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures.

Able to work collaboratively with Data Scientists, engineers and stakeholders in an agile environment.

Experience with Retrieval Augmented Generation (RAG) or vector databases (e.g. Qdrant.)

Exposure to MLOps practices and tools (e.g. DVC)

Understanding of AI ethics, bias mitigation and responsible ML practices.

About us: 

At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with our clients, and deliver flexible solutions for every resourcing need, both now and in the future. Together, we help our clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. We have a range of benefits you will receive alongside your salary.

Our culture: 

At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and we’re always ready to help each other out. And we believe that our work can benefit society – whether it’s finding the digital talent of the future or being a driver for social mobility. 

Our commitment to diversity:  

At Peregrine, we’re proudly committed to championing diversity and inclusion, with company-wide initiatives to drive greater social mobility and reduce our environmental impact. Our teams represent a huge breadth of cultures, languages, and ethnicities, and over 20 different nationalities. We also employ candidates from a range of educational and socioeconomic backgrounds. Our partnerships with numerous charities ensure that we can stay well-informed and continue to improve our practices for the future. It reflects in the way we recruit for our clients as we assist them in becoming more diverse