Cloud platform engineer serverless Work, Jobs in London, Eng (with Salaries)

Forward Deployed Engineer
Accenture —London
- Full-time
- Presentation skills
- AI
Software Engineer
Sportradar —London
- Full-time
- AI
- Work from home
Quick apply
Mid and Senior Site Reliability Engineer (Platform Engineering/Identity/Azure)
Government Digital Service —London
- £56,850 - £81,720 a year
- Full-time
- Hybrid work
- Presentation skills
- Leadership
- Annual leave
- Employee assistance programme
2d
Data Engineer (Mid‑Level ), Global
Vantage Data Centers UK Management Company Ltd —London
- Azure
- Computer Science
- Engineering
- Annual leave
Quick apply
Azure Principal Platform Engineer - UK Security Clearance eligibility required
Appvia —London
- £90,000 - £120,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Leadership
- Employee assistance programme
- Flexible schedule
Quick apply
Senior Data Engineer (EU, EMEA Remote)
SavvyMoney —London
- Full-time
- Remote
- Java
- Mentoring
13d
AI Engineer (Amazon Bedrock)
CreateFuture —London
- Full-time
- Hybrid work
- Master's degree
- Travel
- AI
Quick apply
Founding Engineer
Elyos AI —London
- Full-time
- Customer service
- AI
Quick apply
10d
Python Application Developer with DevOps
Just Eat Takeaway.com —London
- Full-time
- Hybrid work
- DevOps
- AWS
- Agile
AWS Cloud Architect - 12 Month FTC
AND Digital —London
- Full-time
- Hybrid work
- AWS
Quick apply
Backend Engineer - Team Atlas
Taktile —London
- Full-time
- Hybrid work
- AWS
- Mentoring
- AI
DevOps Engineer
AWTG —London
- Master's degree
- Mentoring
- Scripting
Senior Solutions Engineer, Prototyping and Customer Engineering (PACE)
AWS EMEA SARL (UK Branch) —London
- Full-time
- AWS
- Mentoring
- AI
Staff SecOps Engineer
Lunar Energy —London
- Full-time
- Remote
- Master's degree
- Bachelor's degree
- No degree
- Flexible schedule
Quick apply
Forward Deployed AI Engineer
Accenture —London
- Full-time
- Presentation skills
- AI
Machine Learning Engineer - Intelligence Group
Smartnumbers —London
- £55,000 a year
- Hybrid work
- Software development
- Annual leave
- Employee assistance programme
Quick apply
Business Development Rep (AI Cloud)
Featherless AI —London
- Full-time
- Remote
- English
- Business development
- AI
Engineering manager
SECCL —London
- £95,000 - £110,000 a year
- Full-time
- Hybrid work
- AI
- Communication skills
- Employee discount
Senior AI Platform Engineer
Funding Circle —London
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Machine learning
Quick apply
Lead AI Engineer
TP ICAP —London
- Full-time
- AWS
- Analysis skills
- Machine learning

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Forward Deployed Engineer

Accenture -
London

Apply Now

Job details

Full-time

Qualifications

CI/CD
Software deployment
Enterprise architecture
Software development operations experience
Microservices
Presentation skills
CI/CD pipelines
Technical roadmaps
AI
Infrastructure provisioning automation

Full job description

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments

Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones

Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready

Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration

Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy

Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you

Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams

Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice

Basic Qualifications

Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.

Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.

Very strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify

Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on

Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level

Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching

Apply Now

Refine Your Search

cloud platform engineer serverless jobs in london, eng

Forward Deployed Engineer

Software Engineer

Mid and Senior Site Reliability Engineer (Platform Engineering/Identity/Azure)

Data Engineer (Mid‑Level ), Global

Azure Principal Platform Engineer - UK Security Clearance eligibility required

Senior Data Engineer (EU, EMEA Remote)

AI Engineer (Amazon Bedrock)

Founding Engineer

Python Application Developer with DevOps

AWS Cloud Architect - 12 Month FTC

Backend Engineer - Team Atlas

DevOps Engineer

Senior Solutions Engineer, Prototyping and Customer Engineering (PACE)

Staff SecOps Engineer

Forward Deployed AI Engineer

Machine Learning Engineer - Intelligence Group

Business Development Rep (AI Cloud)

Engineering manager

Senior AI Platform Engineer

Lead AI Engineer

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