Platform engineer Work, Jobs in Landbeach, Cam (with Salaries)

Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems
Nexans —Cambridge
- From £58,068.23 a year
- Part-time
- Master's degree
- AWS
- In-person
- Free parking
Quick apply
7d
Software Engineer: Platform and Backend (Mid-career / Senior)
Theia Insights —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- AI
Quick apply
9d
Cloud Platform / Production Engineer
Ipsos —Cambridge
- Continuous improvement
- Annual leave
Site Reliability Engineer
Royal Society of Chemistry —Cambridge
- £64,680 a year
- Full-time
- DevOps
- Continuous improvement
4d
Dev Ops / Platform Engineer
Neat —Cambridge
- DevOps
- Databases
- In-person
Quick apply
Senior Embedded & Platform Software Engineer, Workforce Development
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Software troubleshooting
System Software Engineer
Apple —Cambridge
Junior Cloud Reliability Engineer
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Flexible schedule
Quick apply
Senior Infrastructure Automation Tools Engineer
Arm —Cambridge
- £60,900 - £82,300 a year
- Hybrid work
- Computer Science
- DevOps
- Engineering
Staff AI Technology Specialist
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Master's degree
- AI
5d
IT solutions Engineer
Arm —Cambridge
- £52,400 - £71,000 a year
- Hybrid work
- APIs
- AI
Principal Hypervisor Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Software troubleshooting
- Analysis skills
Senior Software Engineer – Virtual Platforms - Qualcomm - Cambridge, UK
Qualcomm —Cambridge
- Remote
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
Principal AI Platform Engineer
Arm —Cambridge
- £126,200 - £170,800 a year
- Hybrid work
- Master's degree
- APIs
- AI
5d
Software Engineer, Platform - Cambridge, United Kingdom
Speechify —Cambridge
- Remote
- APIs
- Communication skills
Senior Linux Distribution & Validation Engineer
Graphcore —Cambridge
- £73,500 - £131,700 a year
- Scripting
- Linux
Lead Delivery Engineer
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- AI
- Annual leave
- Flexible schedule
Quick apply
Senior DevOps Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Software development
- AI
2d
Staff DevOps Engineer
Renesas Electronics —Cambridge
- Full-time
- DevOps
- Mentoring
- In-person
- Free parking
- Referral programme
Quick apply
Junior Cloud Reliability Engineer
Jagex —Cambridge
- Full-time
- Communication skills
- Annual leave
- Flexible schedule

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platform engineer jobs near landbeach, cam

Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems

Nexans -
Cambridge

Quick apply

Job details

Part-time | Self-employed | Freelance
From £58,068.23 a year
7 days ago

Benefits

Free parking
Casual dress
Free or subsidised travel
Private medical insurance
On-site parking
Free fitness classes

Qualifications

TensorFlow
Cloud infrastructure
Data mining
Law
SAS
Big data
Spark
R
System architecture
Data and database experience
Master's degree
Database design
AWS
Machine learning modelling
Back-end development
Natural language processing
Data pipeline
VBA
Multidisciplinary collaboration
AI
Communication skills
Analytics
Hadoop

Full job description

Job Summary

We are seeking a dynamic and innovative Staff AI Engineer to lead the development and deployment of cutting-edge AI platform solutions, focusing on large language models (LLMs), retrieval-augmented generation (RAG), evaluation frameworks, and backend systems. In this pivotal role, you will drive the design, implementation, and optimization of scalable AI applications that power intelligent, natural language processing (NLP) solutions. Your expertise will enable the organization to harness the full potential of AI and big data technologies, delivering impactful products and services that transform user experiences worldwide. This position offers an exciting opportunity to shape the future of AI-driven platforms through technical excellence and strategic vision.

Responsibilities

Lead the architecture, development, and deployment of large-scale AI systems, including LLM applications, retrieval-augmented generation (RAG), and evaluation frameworks.
Design robust backend systems utilizing cloud services such as AWS to ensure scalability, reliability, and security of AI applications.
Collaborate with cross-functional teams to integrate machine learning models into production environments using tools like TensorFlow, Python, and Spark.
Develop data pipelines for big data processing using Hadoop, Spark, and SQL to facilitate efficient data mining and model training workflows.
Implement database design strategies to support high-performance storage and retrieval of model data, logs, and evaluation metrics.
Optimize machine learning models through rigorous evaluation techniques, leveraging R, SAS, VBA, and other statistical tools for performance tuning.
Conduct research on natural language processing (NLP) techniques to enhance AI capabilities in understanding and generating human language.
Write efficient code in Java, C, Bash (Unix shell), and Python to automate workflows and manage system operations seamlessly.
Stay abreast of emerging AI trends and technologies to continuously improve platform capabilities and maintain competitive advantage.

Qualifications

Extensive experience in AI engineering with a focus on large language models (LLMs), RAG systems, or similar NLP applications.
Strong proficiency in cloud computing platforms such as AWS for deploying scalable AI solutions.
Deep knowledge of machine learning frameworks including TensorFlow; experience with data mining techniques is essential.
Expertise in programming languages like Python, Java, C, Bash scripting; familiarity with VBA is a plus.
Proven ability to design and optimize database systems using SQL; experience with database design principles is required.
Hands-on experience working with big data technologies such as Hadoop, Spark, and related tools for data processing at scale.
Solid understanding of natural language processing (NLP), evaluation methodologies for AI models, and backend system architecture.
Familiarity with SAS statistical software for advanced analytics; knowledge of R is highly desirable.
Excellent problem-solving skills combined with strong communication abilities to collaborate effectively across teams.

Join us in shaping the future of intelligent platforms! We are committed to fostering an inclusive environment where innovation thrives—empowering you to make a meaningful impact through your expertise in AI technology.

Pay: From £58,068.23 per year

Benefits:

Casual dress
Free fitness classes
Free or subsidised travel
Free parking
On-site parking
Private medical insurance

Work Location: In person

Quick apply

Refine Your Search

platform engineer jobs in landbeach, cam

Staff AI Engineer | AI Platform, LLM Applications, RAG, Evaluation & Backend Systems

Software Engineer: Platform and Backend (Mid-career / Senior)

Cloud Platform / Production Engineer

Site Reliability Engineer

Dev Ops / Platform Engineer

Senior Embedded & Platform Software Engineer, Workforce Development

System Software Engineer

Junior Cloud Reliability Engineer

Senior Infrastructure Automation Tools Engineer

Staff AI Technology Specialist

IT solutions Engineer

Principal Hypervisor Engineer

Senior Software Engineer – Virtual Platforms - Qualcomm - Cambridge, UK

Principal AI Platform Engineer

Software Engineer, Platform - Cambridge, United Kingdom

Senior Linux Distribution & Validation Engineer

Lead Delivery Engineer

Senior DevOps Engineer

Staff DevOps Engineer

Junior Cloud Reliability Engineer

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