AI Engineer

Addition; Gloucester; On-site; GBP 70,000 - 110,000; Full time

Job summary

Addition is seeking experienced AI Engineers to design, develop, and deploy AI-powered solutions delivering real-world outcomes across government, defence, national security, and commercial sectors. You will work across full AI lifecycle, implement MLOps, and apply secure, scalable cloud-native architectures using Python and modern ML frameworks.

Collaboration with multidisciplinary teams is essential to translate requirements into production systems.

Qualifications

• Degree in Computer Science or closely related field.
• Experience with AI/ML lifecycle from design to deployment.
• Strong software engineering practices including CI/CD, testing, and code reviews.

Responsibilities

• Design, develop, and deploy AI-enabled applications.
• Build ML/DL/Generative AI solutions.
• Develop RAG pipelines and LLM-powered solutions.
• Integrate AI services with cloud platforms and enterprise systems.
• Create scalable data processing and feature engineering pipelines.
• Implement MLOps including deployment, monitoring, and lifecycle management.
• Evaluate model performance and improve accuracy.
• Ensure secure, scalable, maintainable AI solutions.

Skills

Python

PyTorch

TensorFlow

Scikit-Learn

MLOps

Docker

Kubernetes

Cloud platforms

APIs

Microservices

Distributed systems

NLP

Computer vision

Reinforcement learning

Predictive analytics

Responsible AI

AI governance

DevOps

Platform Engineering

Security

Education

Degree in Computer Science/AI/Data Science/Software Engineering

Tools

MLflow

Kubeflow

SageMaker

Azure ML

GCP

Vector databases

Job description

Great ideas come from different minds. That's why we bring together engineers, data scientists, analysts, researchers, and innovators from diverse backgrounds — giving them the trust, tools, and freedom to solve complex problems and deliver meaningful impact.

As technology continues to evolve, so do we. We work on cutting‑edge solutions that transform organisations through Artificial Intelligence, Machine Learning, Data Science, Cloud Technologies, and Advanced Analytics.

We are seeking talented AI Engineers to join our growing capability and help design, develop, and deploy AI‑powered solutions that deliver real‑world outcomes across government, defence, national security, and commercial sector.

Role: We are looking for experienced AI Engineers to strengthen our delivery capability across a range of AI and Machine Learning programs.

The successful candidates will work across the full AI lifecycle, from requirements gathering and solution design through to model development, deployment, optimisation, and operational support. This is a hands‑on technical role requiring strong software engineering practices combined with expertise in modern AI technologies, machine learning frameworks, and cloud‑native architecture.

You will collaborate with multidisciplinary teams to build scalable, secure, and production‑ready AI systems that solve complex business and operational challenges.

Primary Job Purpose

• Design, develop, and deploy AI and Machine Learning solutions to address complex customer requirements.
• Build scalable AI applications, services, and platforms using modern software engineering practices.
• Develop, evaluate, and optimise machine learning models, including Generative AI and Large Language Model (LLM) solutions.
• Integrate AI capabilities into enterprise systems, products, and operational environments.
• Support technical architecture, solution design, and technology selection activities.
• Ensure AI solutions are secure, reliable, maintainable, and aligned with customer needs.

Key Responsibilities

• Design and develop AI‑enabled applications using Python and modern development frameworks.
• Build and deploy machine learning, deep‑learning, and Generative AI solutions.
• Develop and optimise Retrieval‑Augmented Generation (RAG) pipelines and LLM‑powered applications.
• Integrate AI services with cloud platforms, APIs, databases, and enterprise systems.
• Create scalable data processing and feature engineering pipelines.
• Implement MLOps practices including model deployment, monitoring, testing, and lifecycle management.
• Evaluate model performance and continuously improve accuracy, reliability, and efficiency.
• Apply software engineering best practices including version control, CI/CD, testing, and code reviews.
• Support technical investigations, proof‑of‑concepts, and innovation activities.
• Contribute to solution architecture and technical design decisions.
• Conduct trade‑off analysis across performance, scalability, cost, security, and maintainability.
• Support selection and evaluation of AI models, frameworks, and platforms.
• Ensure solutions align with enterprise architecture and governance requirements.

Delivery & Customer Engagement

• Work closely with project managers, technical leads, and customer stakeholders to deliver successful outcomes.
• Translate business requirements into technical AI solutions.
• Provide technical guidance and expertise throughout the project lifecycle.
• Present findings, demonstrations, and recommendations to technical and non‑technical audiences.
• Identify risks, dependencies, and opportunities early to support successful delivery.
• Strong software engineering experience using Python.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit‑Learn, or equivalent.
• Experience developing Generative AI and LLM‑based applications.
• Knowledge of Retrieval‑Augmented Generation (RAG), vector databases, and prompt engineering techniques.
• Experience deploying applications within cloud environments such as AWS, Azure, or Google Cloud Platform.
• Understanding of APIs, microservices, and distributed systems architectures.
• Experience with containerisation technologies such as Docker and Kubernetes.
• Strong problem‑solving and analytical skills.
• Excellent communication and stakeholder engagement capabilities.
• MLOps experience using MLflow, Kubeflow, SageMaker, Azure ML, or similar platforms.
• Experience with Agentic AI, AI orchestration frameworks, and multi‑agent systems.
• Knowledge of data engineering technologies and large‑scale data platforms.
• Experience working in secure, regulated, or mission‑critical environments.
• Familiarity with cybersecurity principles and secure AI development.
• Experience working with NLP, computer vision, reinforcement learning, or predictive analytics solutions.
• Knowledge of Responsible AI, AI governance, and model risk management frameworks.
• Exposure to DevOps, Platform Engineering, and Infrastructure as Code practices.

Qualifications

• Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Physics, or a related discipline.
• Relevant industry certifications are advantageous.

What You’ll Bring

• A passion for solving complex technical challenges.
• A collaborative mindset and ability to work effectively within multidisciplinary teams.
• Curiosity about emerging technologies and AI advancements.
• Strong attention to detail and continuous improvement mindset.

Why Join Us

You’ll have the opportunity to work on innovative AI programmes that tackle some of the most interesting challenges across government, defence, national security, and commercial sectors. Working alongside highly skilled engineers, scientists, and technology specialists, you'll help shape the next generation of intelligent systems while continuing to grow your own skills and career.

Security Clearance (Where Applicable): Some opportunities may require eligibility for, or possession of, UK Government Security Clearance. Clearance requirements will be discussed during the recruitment process.

The Next Step

If you’re passionate about Artificial Intelligence and want to help deliver innovative solutions that create real impact, we’d love to hear from you. Please submit an up‑to‑date CV outlining your experience, technical expertise, and career achievements.