AI/ML Engineer

Nexalytica Ltd.; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Annual learning budget £2,500

Hybrid work from London office

Latest hardware and tooling

25 days annual leave + bank holidays

Private medical insurance and pension

Job summary

Nexalytica Ltd. in London, UK, is seeking an AI/ML Engineer to design and improve the core intelligence layer for our conversational analytics platform. You will help the system understand user questions, generate SQL, and deliver insights from complex datasets.

You will build RAG pipelines, craft prompts, and implement evaluation frameworks to scale quality. This role collaborates with product designers and full‑stack engineers to ship customer‑facing features.

Qualifications

• 3–5 years of experience building ML/NLP systems in production.
• Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow.
• Hands-on experience with large language models, prompt engineering, and RAG pipelines.
• Familiarity with vector databases (Pinecone, Weaviate, Qdrant, or similar).
• Solid understanding of SQL and relational databases.
• Experience building evaluation and testing frameworks for AI systems.

Responsibilities

• Design and improve the core intelligence layer powering the conversational analytics platform.
• Build and refine retrieval-augmented generation (RAG) pipelines and prompt strategies.
• Develop evaluation frameworks, anomaly detection models, and predictive analytics features.
• Collaborate with product designers and full-stack engineers to ship features used by customers.

Skills

Python

NLP

RAG architectures

Vector databases

SQL

PyTorch/Transformers

Education

Bachelor's or Master's Degree in Computer Science, Machine Learning, or related field

Tools

PyTorch

TensorFlow

Pinecone

Weaviate

Qdrant

Job description

We're building the future of Nexalytica—
come build It with us.

Job Overview

Date Posted

March 10, 2026

April 30, 2026

Location

London, UK (Hybrid)

Offered Salary

Experience

3–5 Years of Professional Experience

Qualification

Bachelor's or Master's Degree in Computer Science, Machine Learning, or related field

Job Skills

Python LLM Fine-Tuning NLP RAG Architectures Vector Databases SQL Generation PyTorch / Transformers

As an AI/ML Engineer at Nexalytica, you will design and improve the core intelligence layer that powers our conversational analytics platform. Your work will directly determine how well our product understands user questions, generates accurate SQL, and delivers trustworthy insights from complex datasets.

You will build and refine retrieval-augmented generation (RAG) pipelines, develop prompt engineering strategies, and create evaluation frameworks that measure answer quality at scale. You will also work on anomaly detection models, predictive analytics features, and the statistical reasoning capabilities that set Nexalytica apart from simple query translators.

This is a high-impact role on a small team. You will collaborate closely with product designers and full-stack engineers to ship features that real customers use every day. If you care about making advanced AI capabilities feel simple and reliable, this is the place to do it.

What you'll bring

You are someone who understands both the promise and the limitations of large language models. You know how to build systems that are accurate, not just impressive. You care about evaluation, reliability, and user trust as much as you care about model architecture.

• 3–5 years of experience building ML/NLP systems in production.
• Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow.
• Hands-on experience with large language models, prompt engineering, and RAG pipelines.
• Familiarity with vector databases (Pinecone, Weaviate, Qdrant, or similar).
• Solid understanding of SQL and relational database concepts.
• Experience building evaluation and testing frameworks for AI systems.

We invest in the people who build the intelligence behind the platform. Along with competitive compensation, you will have the resources and autonomy to do the best work of your career.

• Competitive salary + meaningful equity.
• Hybrid working from our London office with flexible remote days.
• £2,500 annual learning and conference budget.
• Latest hardware and tooling of your choice.
• 25 days annual leave + bank holidays.
• Private medical insurance and pension scheme.

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