Senior AI Platform Engineer

New Today

What You'll Be Doing

You'll be responsible for: Design and maintain automated pipelines for both traditional ML models and modern AI systems including LLMs, multimodal models, and AI agents Implement robust CI/CD practices for model training, fine-tuning, evaluation, and deployment across diverse AI workloads Orchestrate seamless deployment of models, AI agents, and inference endpoints with automated testing and rollback capabilities Build and maintain infrastructure for large language model inference, fine-tuning, and serving at scale Implement comprehensive monitoring for model performance, drift detection, AI safety metrics, and responsible AI compliance Evolve operational processes to support both traditional ML and cutting-edge AI technologies Your Experience

Must have: 4+ years of industry experience building and deploying production-grade AI/ML systems. Recent hands-on engineering experience with AI/LLM infrastructure and tooling (pure ML modelling is not required). Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows Modern ML infrastructure experience with tools like MLflow or similar platforms Containerization & orchestration experience with Docker, Kubernetes, and ML-specific operators AI model serving experience with modern inference servers and API gateways for AI applications Nice to have: Infrastructure as Code experience with Terraform, Ansible, or any other IaC tool of choice Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads AI safety & governance experience with model evaluation, bias detection, and responsible AI practices Multi-modal AI experience with vision-language models, speech processing, or other modalities Experience at the Tier-1 product company or related experience working within the product organisation What You'll Be Doing

You'll be responsible for: Design and maintain automated pipelines for both traditional ML models and modern AI systems including LLMs, multimodal models, and AI agents Implement robust CI/CD practices for model training, fine-tuning, evaluation, and deployment across diverse AI workloads Orchestrate seamless deployment of models, AI agents, and inference endpoints with automated testing and rollback capabilities Build and maintain infrastructure for large language model inference, fine-tuning, and serving at scale Implement comprehensive monitoring for model performance, drift detection, AI safety metrics, and responsible AI compliance Evolve operational processes to support both traditional ML and cutting-edge AI technologies Annual Salary Range

£120,000 - £145,000 GBP How We Work

We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What You'll Get

Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion

Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants. Seniority level

Mid-Senior level Employment type

Full-time Job function

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London, England, United Kingdom 1 month ago

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Location:
London
Salary:
£125,000 - £150,000
Job Type:
FullTime
Category:
IT & Technology

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