Ref: OXB151575_1793710073
Job description
Our client is looking for a couple of Machine Learning Operations Engineers to join their team on a initial two month contract, working three days a week onsite in either London, Bristol, Birmingham, Manchester, Leeds, Cardiff, Edinburgh or Glasgow. This role is Inside IR35.
We are looking for an experienced Machine Learning Operations Engineer to help design, build and deploy enterprise AI and Copilot solutions for one of our Financial Services clients. You will work across machine learning, retrieval-augmented generation (RAG), agent orchestration and cloud platforms to deliver scalable, production-grade AI capabilities. The role requires hands-on experience building ML pipelines, deploying models into production, integrating enterprise data sources and implementing robust governance, monitoring and evaluation frameworks. Preferably someone from a Financial Services background.
Essential Skills and Experience
* > 4 years experience building Copilot or AI agent solutions preferably from a Financial Services background
* > 4 years experience building and deploying machine learning models in production environments.
* Experience working with AWS cloud platforms.
* Expertise in ML Ops practices, CI/CD, model monitoring and lifecycle management.
* Experience with Generative AI, LLMs and Retrieval-Augmented Generation (RAG) architectures.
* Strong Python development skills and experience with Databricks.
* Experience developing batch and real-time inference pipelines.
* Knowledge of vector search, retrieval optimisation and AI evaluation frameworks.
* Experience of Graph RAG and MCP integrations.
* Familiarity with Kubernetes, Snowflake and enterprise data integrations.
* Strong understanding of security, observability and AI governance principles.
* Excellent stakeholder management and communication skills
LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
We are looking for an experienced Machine Learning Operations Engineer to help design, build and deploy enterprise AI and Copilot solutions for one of our Financial Services clients. You will work across machine learning, retrieval-augmented generation (RAG), agent orchestration and cloud platforms to deliver scalable, production-grade AI capabilities. The role requires hands-on experience building ML pipelines, deploying models into production, integrating enterprise data sources and implementing robust governance, monitoring and evaluation frameworks. Preferably someone from a Financial Services background.
Essential Skills and Experience
* > 4 years experience building Copilot or AI agent solutions preferably from a Financial Services background
* > 4 years experience building and deploying machine learning models in production environments.
* Experience working with AWS cloud platforms.
* Expertise in ML Ops practices, CI/CD, model monitoring and lifecycle management.
* Experience with Generative AI, LLMs and Retrieval-Augmented Generation (RAG) architectures.
* Strong Python development skills and experience with Databricks.
* Experience developing batch and real-time inference pipelines.
* Knowledge of vector search, retrieval optimisation and AI evaluation frameworks.
* Experience of Graph RAG and MCP integrations.
* Familiarity with Kubernetes, Snowflake and enterprise data integrations.
* Strong understanding of security, observability and AI governance principles.
* Excellent stakeholder management and communication skills
LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

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