Reed

ML Engineer

Randstad Technologies
London, UK
£450 – £500
about 12 hours ago

Skills & Technologies

PythonSoftware EngineeringFinTechMLOpsScalabilitySQLNoSQLPineconeETLELTAWSAzureDockerKubernetesk8sCI/CDCloudTensorFlowPyTorchLLM

Job Description

Role: ML Engineer

Type: 12 months Contract

Location London, UK(2 days per week)

We are looking for a high-caliber AI Engineer to join a global leader in the Insurance and Fintech space. You won't just be building chatbots; you will be designing and orchestrating Autonomous Agentic Systems that reason, plan, and execute complex workflows.

This is a unique opportunity to work at the intersection of Generative AI and robust software engineering, applying cutting-edge LLM techniques to high-stakes, real-world data. What You'll Be Doing

Agentic System Design: Build intelligent AI agents capable of autonomous task execution using LLMs and advanced reasoning frameworks.

LLM Specialization: Implement RAG (Retrieval-Augmented Generation) pipelines and fine-tune models using PEFT/LoRA to create domain-specific insurance experts.

Production Engineering: Design and maintain robust ETL/ELT pipelines and manage the lifecycle of models using Docker, Kubernetes, and CI/CD.

Responsible AI: Ensure our systems are trustworthy by implementing quantifiable metrics for bias detection, explainability, and privacy.

Performance Tuning: Optimize data workflows for maximum scalability and cost-efficiency.

Insurance Domain experience is added advantage.

Your Technical Toolkit

AI/ML: Expert proficiency in Python, PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI.

Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems.

Infrastructure: Proven track record in MLOps, containerization (Docker/K8s), and cloud platforms (Azure/AWS).

Ethical AI: A deep understanding of AI fairness, transparency, and regulatory compliance within a financial context.

Why This Role?

Impact: Your work will directly influence how millions of customers interact with insurance products.

Innovation: Work with the latest LLM architectures (Llama 3.2, Qwen, etc.) in a production environment.

Stability & Growth: Join a stable, globally recognized institution that is aggressively investing in its AI roadmap for 2026 and beyond.

If you would be interested please share your updated cv on yogeshwari.sen @randstaddigital .com with your availability to discuss more about this role

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Unlock the full analysis for this job
Sign in to unlock →

Similar roles

See more
SumUp
Berlin, Germany
Full-time
7 days ago

At SumUp, we are motivated by the purpose of levelling the playing field for small businesses. We empower small business owners by creating…

View Job
Machine Learning Reply
Munich, Germany
Full-time
Remote
7 days ago

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to suppo…

View Job
EWERK GROUP
Stuttgart, Germany
Full-time
Remote
11 days ago

Data und AI/ML Engineer (m/w/d) Für unser „Data and AI“ Team suchen wir ab sofort Verstärkung. Gemeinsam entwickeln und betrieben wir für un…

View Job
Apply NowApply with CV Improver