Network engineers Work, Jobs in Shrivenham, Oxf (with Salaries)

AI LLM Engineer - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Master's degree
- Travel
- AI
OSS & Autonomous Network Engineer
Capgemini —Abingdon
- Hybrid work
- Master's degree
- Travel
- Scripting
Core Network Senior Test Engineer
Capgemini —Abingdon
- Software troubleshooting
- Computer networking
- Communication skills
Engineering Science Consultant - Utilities (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Data analysis skills
12d
QA Engineer
GRIFFIN —Oxford
- Maintenance
2nd Line IT Support Engineer
Mintivo Ltd —Chippenham
- Up to £33,000 a year
- Weekend availability
- Continuous improvement
- Travel
- Mentoring
- Referral programme
Quick apply
VodafoneThree - Senior Engineer
VodafoneThree —Newbury
- Full-time
- Hybrid work
- Employee discount
Quick apply
Engineering Science Consultant - Life Sciences (Graduate)
Capgemini —Abingdon
- Hybrid work
- Doctoral degree
- Engineering
- Master's degree
12d
Senior Network Engineer (DV Security Clearance)
CGI —Chippenham
- Full-time
- Mentoring
- Communication skills
Quick apply
2nd Line IT Support Engineer
Open Cosmos —Didcot
- Hybrid work
- Google Suite
- Continuous improvement
- SharePoint
Principal Control & Instrumentation Engineer
UK Atomic Energy Authority —Culham
- Full-time
- Hybrid work
- Engineering
- Communication skills
- Annual leave
- Employee assistance programme
Quick apply
7d
VodafoneThree - Senior Engineer - Gateway Functions
VodafoneThree —Newbury
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Employee discount
Quick apply
Senior Systems Engineer
Tetra Tech —Abingdon
- Hybrid work
- Azure
- Computer Science
- No degree
SCOF Systems Engineer
AIRBUS Defence and Space Limited —Chippenham
- Full-time
- Hybrid work
- Free parking
- Employee assistance programme
Core Network Senior Test Engineer
Capgemini Sogeti —Abingdon
- Software troubleshooting
- Computer networking
- Communication skills
MAST-U Infrastructure and Software Engineer
UK Atomic Energy Authority —Abingdon
- £43,702 a year
- Full-time
- Computer Science
- Software development
- Annual leave
- Employee assistance programme
Quick apply
4d
Systems Administrator - Spacecraft Control Centre
AIRBUS Defence and Space Limited —Chippenham
- Full-time
- Hybrid work
- Maintenance
- Free parking
- Employee assistance programme
QA Engineer - Maritime Systems (all genders)
SKD SE —Swindon
- Full-time
- Software troubleshooting
Field Operations Team Engineer
Exponential-e —Chippenham
- Customer service
- Maintenance
- Continuous improvement
- Referral programme
Quick apply
Senior Automation Engineer
Gamma —Newbury
- Full-time
- Computer Science
- Engineering
- Machine learning
- Annual leave
- Employee discount
Quick apply

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network engineers jobs near shrivenham, oxf

AI LLM Engineer - Autonomous Network

Capgemini -
Abingdon

Apply Now

Job details

Permanent

Qualifications

Data integration
Law
MCP
Master's degree
Docker
Machine learning modelling
Deep learning
Predictive analytics
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 engineers jobs in shrivenham, oxf

AI LLM Engineer - Autonomous Network

OSS & Autonomous Network Engineer

Core Network Senior Test Engineer

Engineering Science Consultant - Utilities (Graduate)

QA Engineer

2nd Line IT Support Engineer

VodafoneThree - Senior Engineer

Engineering Science Consultant - Life Sciences (Graduate)

Senior Network Engineer (DV Security Clearance)

2nd Line IT Support Engineer

Principal Control & Instrumentation Engineer

VodafoneThree - Senior Engineer - Gateway Functions

Senior Systems Engineer

SCOF Systems Engineer

Core Network Senior Test Engineer

MAST-U Infrastructure and Software Engineer

Systems Administrator - Spacecraft Control Centre

QA Engineer - Maritime Systems (all genders)

Field Operations Team Engineer

Senior Automation Engineer

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