Cybersecurity systems engineer Work, Jobs in Reading, Brk (with Salaries)

AI LLM Engineer - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Azure
- Master's degree
- AWS
5d
Junior Deployment Engineer
SITA Switzerland Sarl —Reading
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Work from home
- Employee assistance programme
12d
1st Line Engineer - Yateley
Arc —Yateley
- Azure
- Customer service
- Windows
Systems Engineer (System Design Specialist)
Leidos —Ham
- £47,600 - £61,000 a year
- Full-time
- System design
- Organisational skills
- Agile
- Annual leave
- Work from home
Experienced/Senior DevOps Engineer (AWS/Azure) - Tech Team
Rebellion —Oxford
- Full-time
- Azure
- DevOps
- AWS
- Free parking
- Relocation assistance
Quick apply
Principal Senior Technical Architect - IT Platforms
QinetiQ —Farnborough
- £71,100 - £79,000 a year
- Full-time
- Travel
- IT
- Employee discount
Lead Technical Engineer
BAE Systems —Guildford
- Hybrid work
- Linux
Training Lab Manager
Delinea —Bracknell
- £50,000 - £63,000 a year
- Full-time
- Azure
- Computer Science
- Laboratory experience
- Employee assistance programme
- Life insurance
2d
IT Security Manager
Surrey Satellite Technology Limited —Guildford
- Full-time
- Azure
- AWS
- IT
Inside Sales Executive - Medical Device
UL Solutions —Basingstoke
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
Sr. Corporate Sales Engineer
CrowdStrike —Reading
- Full-time
- Sales
- Communication skills
Sr Enterprise Account Manager
Proofpoint —Reading
- Full-time
- Hybrid work
- Sales
- Salesforce
- Flexible schedule
Senior Director, Information Technology EMEA
Spin Master Ltd —Marlow
- Full-time
- Management
- IT
- Leadership
- Flexible schedule
Software Compliance Engineer (Automotive)
Expleo —Guildford
- Engineering
- ERP systems
- Microsoft Office
2nd Line Engineer - Yateley
Arc —Yateley
- £30,000 - £40,000 a year
- Customer service
- Computer networking
- SharePoint
4h
PRINCIPAL ENGINEER, TELECOMMUNICATIONS & SECURITY
Eni —Basingstoke
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
- Free parking
4d
Presales Technical Consultant
HP —Reading
- Full-time
- CRM software
- Sales
- Analysis skills
Security Solutions Engineer
ROHDE & SCHWARZ GmbH & Co. KG —Fleet
- Computer Science
- English
- Life insurance
7d
Cabling Engineer
Roc Technologies —Aldermaston
- £30,000 - £33,000 a year
- Full-time
- Driving
- In-person
- Hand tools
- Free parking
- Health & wellbeing programme
Quick apply
7d
Physical Security Application Engineer
PS Design & Engineering —Camberley
- Full-time
- IT
- In-person
Quick apply

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AI LLM Engineer - Autonomous Network

Capgemini -
Abingdon

Apply Now

Job details

Permanent
5 days ago

Qualifications

Azure
Law
Incident management
MCP
Kubernetes
Master's degree
AWS
Docker
Machine learning
Deep learning
Computer networking
Data pipeline
Telecommunication
APIs
MPLS
Predictive analytics
Root cause analysis
AI
Graph databases
Python

Full job description

Your Role

This role focuses on designing and building the AI brain for autonomous network operations. The AI / LLM Engineer will develop LLM-based agents, RAG systems, multi-agent workflows, semantic search, graph-enhanced reasoning, predictive analytics, KPI models, fault correlation models, and closed-loop decision support capabilities.

Key Responsibilities

Design and develop LLM-based and agentic AI solutions for autonomous network operations.
Build RAG frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data, and operational knowledge.
Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks.
Implement vector search, semantic retrieval, graph-enhanced retrieval, and hybrid search patterns.
Develop AI agents for fault diagnosis, root-cause analysis, KPI analysis, configuration recommendation, incident summarisation, and operational decision support.
Build token-efficient prompting, context optimisation, caching, and response generation techniques.
Integrate LLM solutions with OSS, AIOps, inventory, graph databases, vector databases, data pipelines, and automation platforms.
Develop fault correlation, KPI modelling, predictive analytics, and closed-loop trigger logic.
Implement safe AI workflows with human-in-the-loop approval, confidence scoring, explainability, and auditability.
Optimise AI models and agent workflows for latency, cost, accuracy, and reliability.
Support model evaluation, prompt evaluation, hallucination reduction, retrieval quality improvement, and grounding validation.
Work with cybersecurity teams to implement LLM security, prompt injection protection, data leakage prevention, and access controls.
Deploy AI services using Kubernetes, Docker, APIs, and cloud-native patterns.

Your Profile

Experience in AI/ML engineering, data engineering, software engineering, or applied machine learning.
Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems.
Strong Python programming skills.
Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.
Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.
Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, ChromaDB, or equivalent.
Experience with graph databases, knowledge graphs, or Graph APIs.
Experience building data pipelines and integrating structured and unstructured data sources.
Understanding of AIOps, fault correlation, KPI modelling, predictive analytics, or telecom network operations.
Experience deploying AI services using Kubernetes, Docker, APIs, and cloud-native environments.

Required Technical Skills

Python.
ML basics and deep learning.
LLMs and transformers.
LangChain, LangGraph, MCP, or similar frameworks.
Vector databases and semantic search.
Graph APIs and knowledge graphs.
Data pipelines and data aggregation.
Docker and Kubernetes.
Fault correlation and KPI modelling.
Predictive analytics and AIOps.
Closed-loop triggers.
Prompt engineering and context optimisation.
AI observability and evaluation.

Preferred Certifications

Google Cloud AI/ML or Vertex AI certification.
Azure AI Engineer or AWS Machine Learning certification.
Databricks, BigQuery, or data engineering certification.
Kubernetes certification.
TM Forum Autonomous Networks or Open API certification.

Nice-to-Have Qualifications

Experience with Google Vertex AI, Gemini APIs, BigQuery, or equivalent platforms.
Experience with telecom network data including RAN, Core, IP/MPLS, SD-WAN, OSS, alarms, KPIs, and inventory.
Experience developing LLM agents for network operations, incident management, or service assurance.
Experience with AI model optimisation, inference cost reduction, latency optimisation, and scalable AI serving.

If you're excited about this role but don’t meet every requirement, we stillencourage you to apply, your unique experience could be just what we need.

Make it real – what does it mean for you?

Exposure to top global companies working withCapgemini (145 of the Fortune 500 companies)
Open access to digital learning platforms
Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, and
Meet the minimum essential criteria for the role.
Please opt in during the application process.

Capgemini. Make it real.

Need to know

All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
Location: This is a permanent role with Capgemini, offering a hybrid working model. The client is based in Newbury and occasional travel to the client site will be required.
You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

Apply Now

Refine Your Search

cybersecurity systems engineer jobs in reading, brk

AI LLM Engineer - Autonomous Network

Junior Deployment Engineer

1st Line Engineer - Yateley

Systems Engineer (System Design Specialist)

Experienced/Senior DevOps Engineer (AWS/Azure) - Tech Team

Principal Senior Technical Architect - IT Platforms

Lead Technical Engineer

Training Lab Manager

IT Security Manager

Inside Sales Executive - Medical Device

Sr. Corporate Sales Engineer

Sr Enterprise Account Manager

Senior Director, Information Technology EMEA

Software Compliance Engineer (Automotive)

2nd Line Engineer - Yateley

PRINCIPAL ENGINEER, TELECOMMUNICATIONS & SECURITY

Presales Technical Consultant

Security Solutions Engineer

Cabling Engineer

Physical Security Application Engineer

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