AI/ML Engineer

RemoteJobsOne; Greater London; Remote; GBP 151,000 - 264,000; Full time

Job summary

RemoteJobsOne is hiring an AI/ML Engineer to design, implement, and deploy production-grade AI systems using LLMs, RAG, and multi-agent orchestration. You’ll work on secure cloud deployments across GovCloud and commercial platforms, building robust data pipelines and REST APIs, while collaborating with cross-functional teams.

Ideal candidates have strong Python, experience with LLMs, LangGraph/LangChain, and a solid grasp of CI/CD and security practices.

Qualifications

• Proficiency in Python for AI/ML development with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems and prompt engineering in production.
• Familiarity with multi-agent orchestration and frameworks like LangGraph and LangChain.
• Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Experience building/maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
• Strong secure coding and modern DevOps practices (CI/CD).
• Excellent written and verbal communication skills for cross-team collaboration.

Responsibilities

• Design, implement, and optimize AI/ML models leveraging LLMs and RAG.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy solutions on secure cloud environments (GovCloud, Vertex AI, Bedrock).
• Build robust data pipelines and metadata catalogs for AI training/inference.
• Create and maintain REST APIs and SDK integrations for data/model access.
• Collaborate with product, security, and engineering teams ensuring secure delivery.
• Document decisions and communicate complex concepts clearly to stakeholders.

Skills

Python for AI/ML

REST APIs & SDKs

LLMs & RAG

Multi-agent orchestration

LangGraph & LangChain

Cloud AI services (GovCloud/Vertex AI/

ETL & data pipelines

CI/CD & secure coding

Effective technical communication

Education

Bachelor’s degree in a related field

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Job description

This is a fully remote position, open to candidates based in United Kingdom.

Pay: $200,000–$350,000/yr

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us

the company is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world's top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to the company's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities

1. Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
2. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
3. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
4. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
5. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
6. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
7. Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications

1. Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
2. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
3. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
4. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
5. Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
6. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
7. Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications

1. Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
2. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
3. Prior exposure to government or highly regulated cloud environments and compliance standards.