Human Resouces jobs in United Kingdom

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.

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.

• 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

• 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

• 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

• 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

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.

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 ps@nisos.com.

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