Junior AI Developer
Role details
Job location
Tech stack
Job description
As our AI Developer, you'll be pioneering how AI is used in cyber security - transforming how we detect and respond to threats, optimising security operations, and unlocking new proactive defence capabilities across WorkNest's offerings.
You will be involved in every stage of the AI solution lifecycle, from initial ideation and prototyping, through model training and validation, to production deployment and continuous improvement of AI-driven security solutions.
If you are excited by the idea of building intelligent systems that stop cyberattacks before they happen and working at the cutting edge of technology, this role is for you.
What You'll Do
AI Solution DevelopmentDesign, develop, and implement scalable AI/ML solutions to tackle cybersecurity challenges. This could mean building models for anomaly detection, automating penetration testing tasks, or integrating large language models (LLMs) and intelligent agents into our platforms to identify vulnerabilities and recommend fixes in real time.
Full AI Lifecycle OwnershipOwn the end-to-end AI development lifecycle. You will gather and prepare data, develop and train machine learning models, evaluate their performance, and deploy them into production environments. Once deployed, you'll monitor and tune these models for optimal performance while applying responsible AI practices.
Innovation & ResearchStay at the cutting edge of AI and cybersecurity by researching emerging techniques and evaluating how they apply to our domain. This could include experimenting with generative AI, reinforcement learning, or agent-based systems for autonomous threat hunting.
Standards & ReusabilityContribute to best practices and reusable tools for AI engineering within the team. This includes helping build reusable assets and governance frameworks that ensure AI systems remain secure, compliant, and high quality.
Collaboration & Knowledge SharingWork closely with cross-functional teams including penetration testers, security analysts, software engineers, and product managers to translate cybersecurity needs into effective AI solutions. As a senior technical voice, you will also mentor other developers and promote knowledge sharing.
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Requirements
Strong Software Engineering SkillsProven development experience with Python (and ideally another language). Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is beneficial.
AI / Machine Learning ExpertiseHands-on experience developing and deploying AI or machine learning models in production environments. Experience with NLP, LLMs, or vector databases would be highly advantageous.
Cybersecurity InterestWhile not required, a strong interest in cybersecurity will help you succeed in the role. Familiarity with concepts such as OWASP, CVE, or SIEM would be beneficial.
Cloud & DevOps ExperienceExperience deploying applications or models on cloud platforms such as AWS or Azure. Familiarity with containers (Docker, Kubernetes) and MLOps tools is a plus.
Analytical MindsetStrong problem-solving skills and attention to accuracy, reliability, and performance in AI systems.
Passion and CuriosityA genuine enthusiasm for AI innovation and a proactive approach to learning new technologies.
Communication & CollaborationStrong communication skills and the ability to work effectively with cross-functional teams.
Degree and ExperienceA degree in Computer Science, Data Science, Engineering, or a related field is preferred, along with experience delivering AI/ML projects in production environments., Senior .NET Developer - UK Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly. Security Requirement: Active SC Clearance (essential) A well-established and highly respected technology consultancy is...
Benefits & conditions
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