Artificial Intelligence Engineer

AI Engineer - Remote – London - £120,000 – £160,000 + bonus & benefits

All candidates should make sure to read the following job description and information carefully before applying.

My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. You’ll work across the full ML lifecycle—from dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications.

Salary and Benefits

• Competitive salary £120,000–£160,000
• Share options
• Fully remote within the UK, with hybrid options in London.
• Open annual leave policy
• Company socials

Responsibilities

• Design, fine-tune, and optimize transformer-based LLMs and multimodal models.
• Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs.
• Apply model compression, quantization, and distillation for low-latency inference.
• Develop multi-step reasoning agents and autonomous workflows powered by LLMs.
• Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators.
• Implement safety, validation, and ethical guardrails for autonomous AI behaviors.
• Curate and preprocess large-scale text, code, and multimodal datasets for supervised, self-supervised, and agentic learning.
• Design and maintain embedding pipelines and vector stores (FAISS, Pinecone, Weaviate).
• Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures.
• Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability.
• Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications.
• Integrate AI agents with APIs, chatbots, and knowledge management systems.
• Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment.
• Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod.
• Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference.

Requirements

• 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents.
• Strong programming skills in Python, PyTorch, TensorFlow, or JAX.
• Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines.
• Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration.
• Experience deploying AI models in production with MLOps best practices.
• Cloud experience: AWS, GCP, or Azure.
• Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field.
• Strong problem-solving skills and the ability to translate research into production systems.

If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at or you can call me on .

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at