AI Platform Lead / Up to 90K Approx. 29% Pension / London OR Newcastle / 2 Days in Office
We are seeking an experienced AI Platform Lead to help design build and operate secure AI development and production environments supporting a growing portfolio of machine learning and generative AI solutions. This role combines hands-on engineering with technical leadership including support for a small team of AI engineers.
You will work across infrastructure deployment model integration and experimentation to deliver scalable reliable and secure AI capabilities that improve efficiency decision-making and service delivery.
Key responsibilities
Build operate and maintain AI development and production environments using Azure services including AI ML and GenAI workloads.
Design and manage CI/CD and MLOps pipelines to support model development deployment monitoring and lifecycle management.
Provision and secure cloud environments using Infrastructure as Code with a strong focus on automation compliance and best practice.
Develop and integrate AI applications and services including classical ML NLP RAG and generative AI solutions.
Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms.
Monitor optimise and retrain models in production ensuring strong performance reliability safety and cost effectiveness.
Apply cloud security identity and access controls data governance and Responsible AI principles across all solutions.
Provide technical leadership mentoring and workload coordination for a small team of AI engineers.
Produce clear documentation covering architecture workflows data flows and operational procedures.
What we are looking for
Proven experience building and deploying AI/ML solutions in production.
Strong background in AI infrastructure cloud platforms CI/CD containerisation and MLOps.
Hands-on experience with Azure and related services.
Ability to work with data scientists engineers and business stakeholders.
Experience leading or mentoring technical team members.
Strong understanding of Responsible AI data privacy and ethical considerations.
Location: Hybrid with regular attendance required at an office in London or Newcastle.
If you are interested in the role then please apply or reach out!
Job DescriptionAI Platform Lead / Up to 90K Approx. 29% Pension / London OR Newcastle / 2 Days in Office We are seeking an experienced AI Platform Lead to help design build and operate secure AI development and production environments supporting a growing portfolio of machine learning and generativ...
Job Description
AI Platform Lead / Up to 90K Approx. 29% Pension / London OR Newcastle / 2 Days in Office
We are seeking an experienced AI Platform Lead to help design build and operate secure AI development and production environments supporting a growing portfolio of machine learning and generative AI solutions. This role combines hands-on engineering with technical leadership including support for a small team of AI engineers.
You will work across infrastructure deployment model integration and experimentation to deliver scalable reliable and secure AI capabilities that improve efficiency decision-making and service delivery.
Key responsibilities
Build operate and maintain AI development and production environments using Azure services including AI ML and GenAI workloads.
Design and manage CI/CD and MLOps pipelines to support model development deployment monitoring and lifecycle management.
Provision and secure cloud environments using Infrastructure as Code with a strong focus on automation compliance and best practice.
Develop and integrate AI applications and services including classical ML NLP RAG and generative AI solutions.
Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms.
Monitor optimise and retrain models in production ensuring strong performance reliability safety and cost effectiveness.
Apply cloud security identity and access controls data governance and Responsible AI principles across all solutions.
Provide technical leadership mentoring and workload coordination for a small team of AI engineers.
Produce clear documentation covering architecture workflows data flows and operational procedures.
What we are looking for
Proven experience building and deploying AI/ML solutions in production.
Strong background in AI infrastructure cloud platforms CI/CD containerisation and MLOps.
Hands-on experience with Azure and related services.
Ability to work with data scientists engineers and business stakeholders.
Experience leading or mentoring technical team members.
Strong understanding of Responsible AI data privacy and ethical considerations.
Location: Hybrid with regular attendance required at an office in London or Newcastle.
If you are interested in the role then please apply or reach out!