ML Lead - London, UK
other jobs Randstad Technologies
Added before 1 Days
- England,London,City of London
- Full Time, Contract
- £400 - £500 per day
Job Description:
Role: ML Lead
Type: 12 Months Contract
Location:London, UK
Working Model: Hybrid (2 days per week in office)
Payrate: 400 - 500 GBP/day on Inside IR35 on Umbrella
The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications.
Key Responsibilities:
*Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders.
*LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA.
*Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data.
*MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring.
*Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance.
This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Type: 12 Months Contract
Location:London, UK
Working Model: Hybrid (2 days per week in office)
Payrate: 400 - 500 GBP/day on Inside IR35 on Umbrella
The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications.
Key Responsibilities:
*Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders.
*LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA.
*Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data.
*MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring.
*Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance.
This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Job number 3701317
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