Senior ML Engineer (LLM, Agentic AI)

Nisos Group; Belfast; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A human risk management company is seeking a talented AI/ML Engineer to join their team in Belfast. You will design and implement production ML systems using Large Language Models and help generate actionable intelligence from massive data sets. The ideal candidate should have strong Python proficiency and expert knowledge of AI/ML deployment practices. This position offers a hybrid work model and an emphasis on diversity and inclusion in the workplace.

Benefits

MacBook Pro and peripherals provided

Flexible working hours

Qualifications

• Expert proficiency in Python with frameworks like PyTorch or TensorFlow.
• Deep experience with LLM fine-tuning and prompt engineering.
• Strong containerisation and infrastructure skills (Docker, ECS).

Responsibilities

• Integrate and fine-tune LLMs for natural-language understanding.
• Develop data pipelines processing large-scale unstructured data.
• Collaborate with analysts to translate intelligence needs into ML solutions.

Skills

Python

Prompt engineering

Experience with LangChain or similar frameworks

Distributed systems

Containerization skills (Docker)

Education

Degree in Computer Science, AI/ML or equivalent

Tools

PyTorch

TensorFlow

Job description

Who Is Nisos?

Nisos is the human risk management company specializing in unmasking threats before they affect. We are a trusted advisor who operates as an extension of security, intelligence, legal and human resources teams to protect people and businesses. Our intelligence‑led solutions help enterprises make critical decisions, manage human risk, and drive real‑world consequences for digital threats.

For more information, visit: https://www.nisos.com.

What Is The Opportunity?

Join an AI/ML team designing and shipping production ML systems that combine Large Language Models (LLMs), retrieval‑augmented generation (RAG), and modern agent frameworks for multi‑step decision‑making. You will help turn massive, noisy data into actionable intelligence for analysts and customers.

What Are The Responsibilities?

• Integrate and fine‑tune LLMs for natural‑language understanding, reasoning and multi‑step tool orchestration
• Build agentic workflows (e.g. using LangGraph) to coordinate complex tasks across data sources and services
• Architect and implement AI/ML features for pattern recognition, entity extraction and automated intelligence gathering at scale
• Develop scalable data pipelines and streaming architectures that process billions of heterogeneous data points
• Create and optimise vector databases and retrieval systems for semantic search and RAG
• Deliver production‑ready APIs and microservices supporting real‑time analysis and model inference
• Own model deployment and monitoring using modern ML/LLMOps practices; drive continuous improvement in accuracy, latency and cost
• Evaluate LLM systems with offline metrics, golden test sets, prompt A/B tests, latency & cost optimisation
• Collaborate with analysts and product teams to translate intelligence needs into robust ML solutions

Who You Are

• Expert proficiency in Python, with experience of at least one of PyTorch or TensorFlow
• Hands‑on experience with LangChain, LangGraph, AutoGen or similar agent LLM frameworks
• Deep experience with prompt engineering, foundation model API integration and LLM finetuning
• Expertise in RAG systems with vector databases (Pinecone, Weaviate) and embedding technologies
• Strong experience with LLMOps practices for observability and traceability and LLM evaluation
• Deep understanding of distributed systems, microservices and real‑time streaming architectures
• Strong containerisation and infrastructure skills (Docker, ECS, Terraform, CloudFormation)
• Experience building production AI systems with strong safety, privacy and ethical practices
• Familiarity with computer vision and NLP techniques for OSINT
• Understanding of adversarial AI and security implications

Required Education and Experience

• Degree in Computer Science, AI/ML or equivalent experience
• Substantial experience building AI/ML products at scale with proven experience in LLMs, RAGs or agentic AI solutions
• Proven experience shipping production AI systems at scale
• Track record of building systems that process and analyse large‑scale unstructured data
• Experience in security, intelligence or OSINT platforms preferred

Where will you work?

• Hybrid office schedule: employees balance remotely and at our office in Belfast City Centre
• Flexible schedule: employees generally work normal business hours. We routinely meet in the afternoon with US‑based colleagues, but we rarely schedule meetings earlier than 8 AM or past 6 PM local time

What equipment will you use?

The position requires use of MacBooks and macOS. We ensure you can work well from home by providing MacBook Pros, monitors, peripherals and noise‑canceling headphones.

Disclaimer
This job description is not designed to cover nor contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

Nisos Core Value: "We are Diverse"

We’re an equal opportunity employer dedicated to fostering a diverse workplace and prioritising dignity and respect for our workforce. The goals of our trusted‑partner culture are to establish an environment where employees have a sense of belonging, and to support all employees in reaching their fullest potential. We do this by cultivating a listening culture that values each individual's unique perspectives, backgrounds and contributions.

We integrate diversity, equity, inclusion and belonging into our business strategy and across the employee lifecycle—from recruitment and onboarding, to engagement, development and off‑boarding. We believe in equal employment opportunity and advancement for all, regardless of race, religion, colour, sex, national origin, ancestry, caste, physical or mental disability, medical condition, genetic information, marital status, gender, gender identity or expression, age, military or veteran status, sexual orientation or any other protected basis under applicable federal, state and local laws.

Nisos is also committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, services, programmes and activities. To request reasonable accommodation for the job application or interview process, email [e-mail].

Privacy Notice: https://www.nisos.com/privacy-policy/
EU/EEA/UK Prospective Employee Privacy Notice: https://www.nisos.com/applicant-privacy-notice/