At Peregrine, we’re constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals 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. Unlike traditional contractors, where you are hired by the client, you remain a permanent employee of Peregrine, with access to all our standard benefits:
A Permanent Position
Life Assurance
5% annual bonus
Pension Scheme – Employer matched to 5%
Voluntary Benefits – Health Cash Plan, Dental, Will Writing etc
Annual Leave – 23 days rising to 27 with length of service
Sick Pay – Increasing with length of service
The Role: Senior AI Engineer
Overview of role
AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support AI R&D efforts by applying advanced data warehousing, data
science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives.
Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and data models across different products and platforms.
Hands-on Involvement: Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques to support the construction of state-of-the-art AI models.
Stay up-to-date with new technologies and best practices in data engineering, advancements in generative AI, transformer architectures, and retrieval-augmented generation (RAG) techniques.
Ensure the data security standards are met, in conjunction with the Information Security team
Manage AI/ML projects and mentor junior team members
Experience:
Extensive experience in data collection, preprocessing, and integration from various sources, ensuring accuracy, consistency, and handling missing values or outliers.
Proficient in designing and implementing ELT pipelines using tools like dbt, with strong knowledge of data warehousing, data lake concepts, and data pipeline optimization.
Skilled in SQL for data manipulation, analysis, query optimisation, and database design.
Artificial Intelligence and Machine Learning
Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications.
Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases.
Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn.
Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration.
Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics.
Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows.
Strong understanding of model performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines.
Cloud Computing (Google Cloud Platform - GCP Preferred)
Technical Expertise & Tools
Python: Advanced proficiency in data analysis (Pandas, NumPy), machine learning, PI development (Flask/FastAPI), and writing clean, maintainable code.
SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables.
LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers.
BigQuery: Advanced knowledge of data warehousing/analytics, BigQuery
ML for in-database machine learning, query optimization techniques.
Google Cloud Storage (GCS): Experience with data lake management,
storage/retrieval processes, lifecycle management.
Desirable
ITIL ® Foundation in IT Service Management
Scrum / Agile qualifications
If you are an experienced AI Engineer Engineer and feel you have the desired skills and experience which would enable you to hit the ground running, please apply to find out more information about this exciting opportunity.
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.
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
