Job Description:
Job Title: Junior ML Engineer (AI Safety and Security Research)
Salary: £45,000 per annum
Location: London, UK
Type: Full-Time, Permanent
Work Model: Hybrid (Minimum 2 days a week in the office)
About Us:
Advai are at the leading edge of AI innovation, focusing on AI testing and evaluation to help our customers deploy safe and secure AI with confidence. Our mission is to enable AI deployment across government and the economy, to unlock AI’s transformational benefits. As we expand our platform with more automated tooling, we seek a motivated AI Engineer to join our dynamic team in London.
Role Overview:
We are seeking an AI Engineer to deploy and maintain both foundation models (LLMs) and traditional ML systems to support features in Advai’s LLM testing and evaluation platform. Ultimately, you will help build cutting-edge automation into our platform, enabling our customers to achieve scalable confidence in their own AI deployments.
You’ll work across the ML lifecycle, deploying both LLMs and traditional models within production software. You will build and test AI models and APIs, applying your statistical and scientific expertise to design rigorous automation and contribute to and research projects.
The ideal candidate combines technical skills in Python, API design, and cloud-based ML deployment with strong software engineering discipline and a collaborative, proactive mindset.
Must be able to apply for UK Security Clearance:
Key Responsibilities:
· Deploy both LLMs and classic ML models (e.g. classifiers, detectors) as integrated components within production software.
· Develop and document robust APIs for serving and integrating ML models and AI agents.
· Apply software engineering and deployment practices as needed (e.g., CI/CD, containerisation, orchestration, data pipelines) to support robust and scalable ML delivery.
· Collaborate with research scientists to productionise experimental AI models and integrate them into the company’s tooling and platform.
· Work effectively within Agile teams, contributing to sprint planning, delivery, and continuous improvement.
· Stay up to date with emerging ML frameworks, LLM/agent tools, and deployment strategies, and help evolve internal practices accordingly.
· You’ll work across cloud environments as needed, with a strong emphasis on AWS, which underpins much of our ML infrastructure and workflows.
Requirements:
· Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, or a related quantitative discipline.
· Strong proficiency in Python for data science and machine learning application
· Proven experience in AI engineering - designing, building, and scaling ML systems in production environments.
· Experience training or applying machine learning models (LLMs or predictive models), with a strong grounding in scientific and statistical methodology.
· Familiarity with LangChain, PydanticAI, AutoGen, or similar frameworks for building LLM agents and pipelines.
· Software engineering experience, including collaborative development (Git/GitHub), deployment tooling (e.g., Docker, Kubernetes, CI/CD), and good practices in testing, documentation, and maintainability.
· Experience working with AWS or other major cloud platforms.
· Strong analytical and problem-solving skills with a proactive and innovative approach.
· Effective communicator who thrives in a collaborative, hybrid team environment.
Benefits:
· Flexible working hours with a hybrid model, blending in-office collaboration in London with the flexibility of remote work.
· Private health and cycle to work scheme.
· Opportunities for professional development in the rapidly evolving field of AI.
· A dynamic and exciting work environment focused on enabling other organisations to deploy AI with confidence.
How to Apply: Interested candidates are invited to submit their CV, a cover letter, and (optionally) links to project examples to [email protected] .
We are committed to fostering a diverse and inclusive workplace. We strongly encourage qualified candidates from all backgrounds to apply.
Application Deadline:
Join our journey to help our customers deploy AI that is safe and secure. Propel your career forward with us in London!
Job Title: Junior ML Engineer (AI Safety and Security Research)
Salary: £45,000 per annum
Location: London, UK
Type: Full-Time, Permanent
Work Model: Hybrid (Minimum 2 days a week in the office)
About Us:
Advai are at the leading edge of AI innovation, focusing on AI testing and evaluation to help our customers deploy safe and secure AI with confidence. Our mission is to enable AI deployment across government and the economy, to unlock AI’s transformational benefits. As we expand our platform with more automated tooling, we seek a motivated AI Engineer to join our dynamic team in London.
Role Overview:
We are seeking an AI Engineer to deploy and maintain both foundation models (LLMs) and traditional ML systems to support features in Advai’s LLM testing and evaluation platform. Ultimately, you will help build cutting-edge automation into our platform, enabling our customers to achieve scalable confidence in their own AI deployments.
You’ll work across the ML lifecycle, deploying both LLMs and traditional models within production software. You will build and test AI models and APIs, applying your statistical and scientific expertise to design rigorous automation and contribute to and research projects.
The ideal candidate combines technical skills in Python, API design, and cloud-based ML deployment with strong software engineering discipline and a collaborative, proactive mindset.
Must be able to apply for UK Security Clearance:
Key Responsibilities:
· Deploy both LLMs and classic ML models (e.g. classifiers, detectors) as integrated components within production software.
· Develop and document robust APIs for serving and integrating ML models and AI agents.
· Apply software engineering and deployment practices as needed (e.g., CI/CD, containerisation, orchestration, data pipelines) to support robust and scalable ML delivery.
· Collaborate with research scientists to productionise experimental AI models and integrate them into the company’s tooling and platform.
· Work effectively within Agile teams, contributing to sprint planning, delivery, and continuous improvement.
· Stay up to date with emerging ML frameworks, LLM/agent tools, and deployment strategies, and help evolve internal practices accordingly.
· You’ll work across cloud environments as needed, with a strong emphasis on AWS, which underpins much of our ML infrastructure and workflows.
Requirements:
· Bachelor’s or Master’s degree in Data Science, Machine Learning, Statistics, or a related quantitative discipline.
· Strong proficiency in Python for data science and machine learning application
· Proven experience in AI engineering - designing, building, and scaling ML systems in production environments.
· Experience training or applying machine learning models (LLMs or predictive models), with a strong grounding in scientific and statistical methodology.
· Familiarity with LangChain, PydanticAI, AutoGen, or similar frameworks for building LLM agents and pipelines.
· Software engineering experience, including collaborative development (Git/GitHub), deployment tooling (e.g., Docker, Kubernetes, CI/CD), and good practices in testing, documentation, and maintainability.
· Experience working with AWS or other major cloud platforms.
· Strong analytical and problem-solving skills with a proactive and innovative approach.
· Effective communicator who thrives in a collaborative, hybrid team environment.
Benefits:
· Flexible working hours with a hybrid model, blending in-office collaboration in London with the flexibility of remote work.
· Private health and cycle to work scheme.
· Opportunities for professional development in the rapidly evolving field of AI.
· A dynamic and exciting work environment focused on enabling other organisations to deploy AI with confidence.
How to Apply: Interested candidates are invited to submit their CV, a cover letter, and (optionally) links to project examples to [email protected] .
We are committed to fostering a diverse and inclusive workplace. We strongly encourage qualified candidates from all backgrounds to apply.
Application Deadline:
Join our journey to help our customers deploy AI that is safe and secure. Propel your career forward with us in London!