Randstad Digital

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Machine Learning Engineer focusing on Generative AI and Agentic Systems, with a 12-month contract in London (hybrid). Key skills include LLM fine-tuning, MLOps, and data orchestration.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 7, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #Predictive Modeling #Docker #Scala #Data Science #Databases #MLflow #AI (Artificial Intelligence) #Data Orchestration #Automation #Documentation #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Kubernetes #Compliance #Data Governance
Role description
Lead Machine Learning Engineer (Generative AI & Agentic Systems) Location: London, UK (Hybrid: 2 days/week in-office) Type: 12-Month Contract The Opportunity Are you a hands-on leader in the AI space? We are looking for a Lead ML Engineer to spearhead the design, deployment, and optimization of sophisticated AI models and Agentic Systems. This isn't just about standard predictive modelingβ€”you’ll be building autonomous agents that reason and execute, leveraging the latest in LLM fine-tuning, RAG pipelines, and scalable MLOps. The Core Mission β€’ Architect & Build: Design and implement AI algorithms and architectures, moving from raw concepts to robust frameworks. β€’ Agentic Systems & LLMs: Develop intelligent AI agents capable of reasoning and planning. Expertly handle LLM fine-tuning (PEFT, LoRA, QLoRA) and RAG pipelines. β€’ Data Orchestration: Build ETL/ELT pipelines and feature engineering workflows to integrate structured and unstructured data into centralized platforms. β€’ End-to-End MLOps: Own the lifecycleβ€”from CI/CD automation and containerization (Docker/Kubernetes) to versioning and infrastructure management. β€’ Responsible AI: Ensure every system is trustworthy, fair, and explainable, implementing quantifiable metrics for bias detection and regulatory compliance. Technical Toolkit β€’ Models: LLMs, Generative AI, Agentic workflows. β€’ Engineering: PEFT, Vector Databases (Pinecone/Milvus/Weaviate), Prompt Engineering. β€’ Ops: Docker, Kubernetes, CI/CD, Experiment Tracking (MLflow/W&B). β€’ Data: ETL/ELT, Feature Stores, Performance Tuning. Who You Are β€’ A Technical Lead: You can bridge the gap between Data Science, Software Engineering, and the business. β€’ A Precision Engineer: You value documentation, data governance, and "bulletproof" deployment. β€’ A Strategic Thinker: You don’t just build; you optimize for scalability, performance, and cost-efficiency. Logistics β€’ Contract: 12-month initial term. β€’ Location: London-based office. Candidates must be able to commute to the office 2 days per week (mandatory). Are you ready to build the next generation of autonomous AI? #MLEngineer #GenAI #LLM #MachineLearning #AgenticSystems #MLOps #LondonJobs #ContractHiring #DataScience #ArtificialIntelligence #AIJobs