Senior AI Engineer – End-to-End ML & Digital Twins

Client Server Limited; Greater London; Hybride; GBP 70 000 - 80 000; Plein temps

Avantages offerts par ce poste

Bonus

Pension

Income Protection

Life Assurance

Critical Illness

Employee Assistance

Company Share Scheme

Paternity Leave

Wellness Benefits

PT Sessions

Onsite Gym

Massages

Health Insurance

25 Days Holiday

Kids Pass

Smart Tech Scheme

Volunteering Days

Résumé du poste

Client Server Limited in London is seeking a senior AI Engineer to take end-to-end ownership of production AI systems powering a diverse portfolio of digital products. You will translate research into production-ready pipelines and collaborate across software, ML, and product teams.

You'll design, develop and deploy behavioural AI models, implement causal inference, and integrate AI capabilities via APIs and microservices. Hybrid work model with three days in the office and two remotely.

Qualifications

• Hands-on experience building and deploying AI/ML models in production.
• Focus on applied AI and delivering working systems.
• Experience with behavioural, sequential or decision models.
• Understanding of causal inference and impact evaluation.
• Experience building end-to-end ML pipelines.
• Strong engineering skills integrating AI services into production platforms.
• Good understanding of agentic systems, Digital Twins, or intelligent automation.

Responsabilités

• Build and productionise intelligent AI systems powering digital products.
• Own full development lifecycle from data ingestion to monitoring.
• Integrate AI features into platforms via APIs and microservices.
• Collaborate with software and ML engineers and product teams.

Connaissances

Applied AI

End-to-end ML

Production Deployment

APIs & Microservices

Digital Twins

Causal Inference

Description du poste

Client Server Limited in London is seeking a senior AI Engineer to take end-to-end ownership of production AI systems powering a diverse portfolio of digital products. You will translate research into production-ready pipelines and collaborate across software, ML, and product teams.

You'll design, develop and deploy behavioural AI models, implement causal inference, and integrate AI capabilities via APIs and microservices. Hybrid work model with three days in the office and two remotely.