Network engineer Work, Jobs in Ardley, Oxf (with Salaries)

AI LLM Engineer - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Azure
- Master's degree
- AWS
2d
Senior Network Engineer
Haas F1 Team —Banbury
- Weekend availability
- Azure
- Bachelor's degree
- Travel
- Flexible schedule
Quick apply
1st Line Technical Support Engineer
CTS Group Ltd —Abingdon
- Full-time
- Microsoft Outlook
- Microsoft Office
- Computer networking
- Free parking
Quick apply
1d
Tier 1 Technical Support Engineer
8x8, Inc. —Aylesbury
- Monday to Friday
- Customer service
- English
- Computer networking
OSS & Autonomous Network Engineer
Capgemini —Abingdon
- Hybrid work
- Master's degree
- Travel
- Computer networking
2d
Embedded Software Engineer
Archangel Lightworks —Oxford
- Full-time
- C++
- Linux
- Python
- Annual leave
- Work from home
Quick apply
Product Environmental Compliance Engineer
Lumentum —Towcester
- £80,000 - £115,000 a year
- Full-time
- Engineering
- English
- Master's degree
Technical Support Specialist
VoCoVo —Chipping Norton
- £38,000 - £41,000 a year
- Hybrid work
- Computer networking
- Linux
- Employee assistance programme
- Sick pay
Data Center Technician , Operations, IT, & Support Engineering
Amazon Data Services UK Limited —Didcot
- 12 hour shift
- Computer Science
- AWS
- Bachelor's degree
4d
IT Infrastructure Engineer - Jaguar TCS Racing
Fortescue —Kidlington
- Childcare
- Azure
- Windows
- Employee assistance programme
2nd Line Support Technician
dbfb Ltd —Northampton
- £30,000 - £35,000 a year
- Full-time
- Hybrid work
- Azure
- Microsoft Office
- Phone etiquette
Quick apply
QA Engineer
GRIFFIN —Oxford
- English
- Windows
- SQL
Azure Cloud Engineer
Conrad Energy —Abingdon
- £60,000 - £65,000 a year
- Full-time
- Hybrid work
- Azure
Quick apply
3d
Optical Systems Engineer
Archangel Lightworks —Oxford
- Full-time
- Laboratory experience
- Analysis skills
- Leadership
- Annual leave
- Work from home
Quick apply
Data Centre Technician , Data Center Operations
Amazon Data Services UK Limited —Didcot
- 12 hour shift
- AWS
- Travel
- Computer networking
Embedded Software Engineer
Wipac Technology —Buckingham
- Full-time
- C++
- Software development
Senior Engineer
Blackwell Earthmoving Limited —Aylesbury
- Full-time
- Civil engineering
- Engineering
- Construction experience
- Life insurance
Quick apply
11d
AI Data Scientist - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Azure
- Data analysis skills
- Master's degree
2d
IT Systems Engineer (Boomi)
Multi-Color Corporation —Daventry
- Full-time
- Computer Science
- Engineering
- ERP systems
Quick apply
Associate Engineer, GxP IT Support
Moderna, Inc. —Oxford
- Full-time
- Oracle
- Microsoft Outlook
- Computer Science
- Annual leave

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AI LLM Engineer - Autonomous Network

Capgemini -
Abingdon

Apply Now

Job details

Permanent
2 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

network engineer jobs in ardley, oxf

AI LLM Engineer - Autonomous Network

Senior Network Engineer

1st Line Technical Support Engineer

Tier 1 Technical Support Engineer

OSS & Autonomous Network Engineer

Embedded Software Engineer

Product Environmental Compliance Engineer

Technical Support Specialist

Data Center Technician , Operations, IT, & Support Engineering

IT Infrastructure Engineer - Jaguar TCS Racing

2nd Line Support Technician

QA Engineer

Azure Cloud Engineer

Optical Systems Engineer

Data Centre Technician , Data Center Operations

Embedded Software Engineer

Senior Engineer

AI Data Scientist - Autonomous Network

IT Systems Engineer (Boomi)

Associate Engineer, GxP IT Support

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