AI Engineer

Harnham - Data and Analytics Recruitment; City Of London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Exposure to large-scale AI projects

Career progression

Job summary

Harnham - Data and Analytics Recruitment in London is seeking an experienced AI Engineer to join a hybrid team. You will design, build and deploy scalable AI and ML solutions, collaborating with data scientists, engineers and business stakeholders to translate challenges into impactful AI products.

You will apply MLOps practices, write Python code for cloud-native services, and contribute to data pipelines for model training and inference while ensuring responsible and secure AI deployment.

Qualifications

• Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI.
• Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks.
• Strong Python programming skills and understanding of modern backend architectures.
• Experience working with cloud platforms and production-grade AI systems.
• Knowledge of MLOps, CI/CD, containerisation and model monitoring.
• Experience building data pipelines for model training, fine-tuning and inference.
• Solid grounding in machine learning, statistics and model evaluation techniques.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.
• Commitment to responsible and ethical AI development.

Responsibilities

• Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production.
• Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks.
• Write high-quality Python code and contribute to cloud-native applications and services.
• Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability.
• Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions.
• Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment.

Skills

Generative AI

Python

MLOps

CI/CD

Cloud platforms

Model monitoring

Data pipelines

Job description

AI Engineer

London (Hybrid - 3x a week)

The Company

They are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative solutions that improve business operations, enhance customer experiences, and drive measurable commercial value. With access to large and complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged.

The Role

• Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production.
• Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks.
• Write high-quality Python code and contribute to cloud-native applications and services.
• Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability.
• Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions.
• Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment.

Your Skills & Experience

• Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI.
• Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks.
• Strong Python programming skills and understanding of modern backend architectures.
• Experience working with cloud platforms and production-grade AI systems.
• Knowledge of MLOps, CI/CD, containerisation and model monitoring.
• Experience building data pipelines for model training, fine-tuning and inference.
• Solid grounding in machine learning, statistics and model evaluation techniques.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.
• Commitment to responsible and ethical AI development.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working model.
• Exposure to large-scale AI and machine learning projects.
• Opportunity to shape the direction of a growing AI capability.
• Ongoing professional development and clear career progression.
• Collaborative environment working alongside experienced AI, data and engineering professionals.