Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

AI Engineer

Crawley
2 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer - Data Science

AI Engineer - Data Science

Senior AI Engineer / Data Scientist

Senior Artificial Intelligence Engineer

Data Scientist / AI Engineer - Python, TDD, Observability

Data Scientist

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.