Senior ML Engineer
New Yesterday
Salary:
£70,000-£90,000
Location:
London (Hybrid)
The Opportunity
We're looking for a Senior Machine Learning Engineer to help design, build, and deliver next-generation AI systems. You will work across LLMs, retrieval-augmented generation (RAG), and modern agent frameworks to transform large, unstructured data into meaningful insights and production-ready capabilities. This is a hands-on role within a growing AI team, offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users.
Responsibilities
Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation.
Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources.
Architect and deliver ML features such as pattern recognition, entity extraction, and intelligent automation.
Design scalable data and streaming pipelines capable of handling large, heterogeneous datasets.
Build and optimize vector search, embeddings, and RAG systems to support high-quality retrieval.
Deliver production-ready APIs, services, and model inference systems.
Manage deployment, monitoring, observability, and continual improvement of ML models.
Evaluate model performance using offline metrics, A/B tests, latency and cost optimisation.
Work closely with product and domain experts to translate requirements into robust ML solutions.
Who You Are
Strong proficiency in
Python
and experience with
PyTorch or TensorFlow .
Practical experience with
LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks.
Skilled in
prompt engineering , integrating foundation model APIs, and LLM fine-tuning techniques.
Expertise in building
RAG systems , vector databases (e.g., Pinecone, Weaviate), and embedding pipelines.
Experience with
ML/LLMOps
for monitoring, evaluation, and traceability.
Solid understanding of
distributed systems , microservices, and real-time data processing.
Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.).
Experience deploying production AI systems with a strong focus on reliability and safety.
Background in NLP, information extraction, or large-scale unstructured data processing.
Experience in security, intelligence, or data-heavy platforms is a plus but not required.
Education & Experience
Degree in Computer Science, AI/ML, or equivalent practical experience.
Demonstrated experience building and shipping ML/AI products at scale.
Proven track record working with LLMs, RAG pipelines, or agent-based systems.
Work Environment
Hybrid:
mix of remote work and in-person collaboration in our London office.
Flexible schedule
within standard business hours.
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TPBN1_UKTJ
- Location:
- United Kingdom
- Job Type:
- PartTime
- Category:
- IT
