Who Is Nisos?
Nisos is the human risk management company specializing in unmasking threats before they escalate. We are a trusted advisor who operates as an extension of security, intelligence, legal, and human resource teams to protect their people and business. 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?
You’ll be part of a team building a platform and products from the ground up, with the opportunity to make an outsized impact on technology, people, and customers. If you’re a builder with a passion for people and AI-driven innovation, we want to talk to you.
What Are The Responsibilities?
- Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering
- Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping
- Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data
- Develop robust APIs and microservices that handle real-time threat analysis at scale
- Implement computer vision systems for image and video analysis in OSINT investigations
- Build and optimize vector databases for semantic search across massive intelligence datasets
- Establish best practices for AI/ML model deployment, monitoring, and continuous improvement
- Mentor AI team members on engineering best practices and technical skills.
- Direct and assign work to align with project goals and priorities.
- Conduct performance reviews to foster professional growth and maintain high technical standards
- Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced solutions
- Own critical platform components from conception through production deployment
Who You Are
- Expert proficiency in Python, JavaScript, and modern web frameworks
- Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain)
- Mastery of prompt engineering and fine-tuning Large Language Models
- Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies
- Expert in building RAG (Retrieval-Augmented Generation) systems at scale
- Strong experience with MLOps practices and model deployment pipelines
- Proficient in cloud AI services (AWS SageMaker/Bedrock)
- Deep understanding of distributed systems and microservices architecture
- Expert in data pipeline platforms (Apache Kafka, Airflow, Spark)
- Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases
- Strong containerization and orchestration skills (Docker, Kubernetes)
- Experience with infrastructure as code (Terraform, CloudFormation)
- Expertise in building real-time streaming architectures
- Experience building production AI systems handling sensitive data
- Knowledge of AI safety, bias detection, and ethical AI practices
- Familiarity with computer vision and NLP techniques for OSINT
- Understanding of adversarial AI and security implications
- Proven track record of leading complex technical projects
- Ability to make architectural decisions that scale to billions of data points
- Strong communication skills to explain complex AI concepts to non-technical stakeholders
- Experience mentoring engineers in AI/ML best practices
Required and Preferred Education and Experience
- Degree in Computer Science, AI/ML, or equivalent experience
- 8+ years of software engineering experience with 3+ years focused on AI/ML systems
- Proven experience shipping production AI systems at scale
- Experience in security, intelligence, or OSINT platforms preferred
- Track record of building systems that process and analyze large-scale unstructured data
- Publications or open-source contributions in AI/ML space valued
Where will you work?
Successful candidates may review our job contract and employee handbook for definitive details, but the short story is that we support work-life balance. Employees work with their team and manager to establish:
- Hybrid office schedule: employees balance working remotely and working 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.
Where will you go?
You will be required to travel to the United States for meetings and quarterly planning. You must be able to travel and be authorized to work in the United Kingdom.
