Devops / platform engineer (google cloud) Work, Jobs in E14 (with Salaries)

Lead AI Engineer
Capgemini —London
- Hybrid work
- Master's degree
- Business development
- Machine learning
FullStack DataOps Engineer
Capgemini Sogeti —London
- Computer Science
- DevOps
- Engineering
Engineering Manager
National Westminster Bank PLC —London
- £56,720 - £85,080 a year
- Full-time
- Hybrid work
- Software development
- Leadership
- Annual leave
6d
Java Engineer with AI
Solirius Reply —London
- Full-time
- Hybrid work
- DevOps
- Java
- Databases
- Annual leave
- Employee assistance programme
Quick apply
Expert Backend Engineer
Wiz —London
- Computer Science
- Java
- Databases
Enterprise Account Executive - UK
Chainguard —London
- Remote
- Sales
- Travel
- Agile
Quick apply
Senior QA Engineer
Universal Music Group —London
- Full-time
- Communication skills
- Annual leave
- Employee discount
IT Systems Engineer
HoistGroup —London
- English
- Hotel
- Analysis skills
Quick apply
Senior Software Engineer
Centric Software —London
- Full-time
- Remote
- Software troubleshooting
- Java
- Machine learning
Senior Backend Engineer (Golang)
Tabeo —London
- Remote
- DevOps
- AWS
- Annual leave
Identity and Access Management Architect / Engineer (Consultant/Senior Consultant), Cyber Risk
Deloitte —London
- Hybrid work
- Computer Science
- Bachelor's degree
- Communication skills
Sr. FinOps Engineer (68022)
Hitachi Rail —London
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Senior Software Engineer (Java)
TP ICAP —London
- Full-time
- Mentoring
- Communication skills
Senior Application Security Engineer
Pennylane SAS —London
- Full-time
- Remote
- English
- Scripting
Quick apply
Senior Product Engineer
Dragonfly —London
- Full-time
- Hybrid work
- DevOps
- Machine learning
- AI
- Annual leave
Quick apply
Software Engineer
Fuku —London
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
Quick apply
Lead JavaScript Engineer - Encore Musicians
Mixcloud —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Mentoring
Quick apply
Technical Product Manager
Dragonfly —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Software development
- Annual leave
Quick apply
Identity and Access Management Senior Architect / Engineer (Manager/Senior Manager), Cyber
Deloitte —London
- Hybrid work
- Computer Science
- Software troubleshooting
- AWS
Data Engineer
NICHE SKILLS LIMITED —Watford
- £39,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- SQL
Quick apply
12d

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devops / platform engineer (google cloud) jobs near e14

Lead AI Engineer

Capgemini -
London

Apply Now

Job details

Permanent

Qualifications

CI/CD
Law
MCP
NoSQL
Google Cloud Platform
Master's degree
Business development
CI/CD pipelines
Machine learning
GitHub
APIs
AI
Microsoft Azure

Full job description

About the Role

Lead AI Engineer

We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding data and AI solutions in business. You’ll scale AI solutions responsibly and reliably, ensuring they move from lab to live by building the right solutions, practices, and guardrails while ensuring business value creation and impact.

In this position you will play a key part in:

Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management
Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and other
Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars
Leading multi-disciplinary teams to execute complex requirements
Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS.
Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.

As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:

Business Development - Build client-ready demos/POVs, support proposals and technical deep-dives, and showcase delivery patterns.
Internal contribution - Build reusable assets and frameworks that accelerate delivery across accounts and support capability development by contributing to our internal communities and best practices.
Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks.

What you will bring

We’d love to meet someone with:

Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions.
Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.
Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.
Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks.
The ability to demonstrate the potential that scaling AI unlocks business value and impact.

Experience Required

Your Technical Expertise:

This list shows the technologies we work with most often. We don’t expect you to have experience in all of them - what matters is a strong foundation and a good cross-section of these skills, along with the adaptability and curiosity to learn new tools as projects demand. We like to innovate and need self-driven, fast-paced learners in our team.

Experience with deploying and scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)
Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK
Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.
Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).
Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes.

Nice to haves:
Familiarity with evaluating AI system performance, including prompt evaluation, A/B testing, and quality assessment frameworks.
Understanding of modern data patterns: lakehouse architectures, vector databases, and relational/NoSQL stores
Familiarity with API gateways, event streaming and general integration patterns.

Eligibility:

About Capgemini

WHAT YOU'LL LOVE ABOUT WORKING HERE

We’re a fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible because we innovate, we deploy, and you will see your work come to life in the real world.
Technology moves fast, and so do we. We’re a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what comes next. Our in-house projects highlight what’s possible with the newest models and agentic frameworks.
We’re looking for more people with the curiosity, drive, and self-starting spirit of real innovators, people who love technology and want to build the future with us.

NEED TO KNOW

We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 2 consecutive years, to see what it’s like to work at Capgemini, visit our Glassdoor page
At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.

Whilst you will have a office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

Apply Now

Refine Your Search

devops / platform engineer (google cloud) jobs in e14

Lead AI Engineer

FullStack DataOps Engineer

Engineering Manager

Java Engineer with AI

Expert Backend Engineer

Enterprise Account Executive - UK

Senior QA Engineer

IT Systems Engineer

Senior Software Engineer

Senior Backend Engineer (Golang)

Identity and Access Management Architect / Engineer (Consultant/Senior Consultant), Cyber Risk

Sr. FinOps Engineer (68022)

Senior Software Engineer (Java)

Senior Application Security Engineer

Senior Product Engineer

Software Engineer

Lead JavaScript Engineer - Encore Musicians

Technical Product Manager

Identity and Access Management Senior Architect / Engineer (Manager/Senior Manager), Cyber

Data Engineer

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