At a Glance
- Tasks: Design and deliver AI-enabled systems while collaborating with clients and teams.
- Company: Join a leading consultancy known for its innovative engineering culture.
- Benefits: Competitive salary, flexible hybrid work, continuous learning, and exciting projects.
- Other info: Dynamic environment with opportunities for growth and participation in hackathons.
- Why this job: Make a real impact by transforming AI ideas into operational solutions.
- Qualifications: Experience in software engineering, AI/ML, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Other locations: Primary Location Only
Salary: Competitive
Date: 9 Apr 2026
Job Description
Requisition ID:
Job Title: Forward Deployed Engineer
EY Grade: Senior Consultant (UK)
Location: UK (London CP / Manchester / Birmingham / Edinburgh / Belfast) – Hybrid working with client-site travel as required.
Contract: Permanent, full-time
The Opportunity
Organisations are moving rapidly from AI experimentation to operational adoption. However, many struggle to translate ideas into secure, scalable and reliable production solutions. As a Forward Deployed Engineer, you will contribute to the design and delivery of AI‑enabled systems that operate reliably in enterprise environments. Working within a delivery squad, you will take ownership of defined engineering components and support the development of production‑ready AI capabilities. You will work at the intersection of software engineering, product thinking and client delivery, helping translate complex problems into working solutions deployed in real‑world environments.
What you’ll do
- Client‑Facing Engineering & Delivery
- Collaborate with client stakeholders and internal teams to understand requirements and translate them into engineering tasks and deliverables.
- Contribute to workshops, demos and solution reviews while communicating technical considerations clearly to mixed audiences.
- Support the adoption of delivered solutions through testing, iteration and feedback cycles.
- Solution Design & Implementation
- Design and implement AI‑enabled components such as RAG pipelines, agents and supporting microservices.
- Integrate solutions with enterprise data sources, APIs and existing platforms while maintaining reliability and security standards.
- Apply responsible‑AI guardrails, monitoring and operational practices to ensure safe and maintainable deployments.
- Product Mindset & Continuous Improvement
- Contribute to defining MVP scope, engineering tasks and delivery milestones within the squad.
- Implement evaluation approaches, monitoring and dashboards to understand system performance and user impact.
- Capture reusable engineering patterns and contribute to shared accelerators used across projects.
What we’re looking for
Essential skills & experience
- Software engineering: Python and/or TypeScript, async patterns, testing/CI, API design and microservice fundamentals.
- RAG engineering: retrieval strategies, chunking/indexing, hybrid search, grounding and hallucination mitigation.
- Applied AI/ML: hands‑on with LLMs, embeddings and vector databases (FAISS/Milvus/Pinecone).
- LLMOps & evaluation: prompt pipelines, automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML.
- Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM.
- Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data sources and enterprise systems; runbooks and operational handover.
- Product delivery: workshop facilitation, PRDs, user stories and acceptance criteria; backlog ownership; roadmap and release planning.
- Measurement: define value/adoption metrics; implement simple dashboards or analysis to evidence impact and inform iteration.
- Responsible AI & compliance: privacy‑by‑design, model‑risk, auditability; awareness of UK expectations (FCA, PRA, GDPR).
- Consulting behaviours: client‑ready communication, time management and collaboration in diverse, multi‑disciplinary teams.
Nice to have
- Document & graph stores (e.g., Neo4j) and streaming patterns (Event Hub/Kafka).
- Azure/AWS Solutions Architect exposure; optional governance/model‑risk/responsible‑AI credentials.
Technical Certifications (preferred)
- Microsoft Azure AI Engineer Associate (AI‑102) or Azure Data Scientist Associate.
- AWS Machine Learning Specialty or Google Professional ML Engineer.
- Databricks (Data Engineer/ML Engineer) and Kubernetes (CKA/CKAD).
- Azure/AWS Solutions Architect; optional model‑risk/responsible‑AI governance credentials.
How you work
You’re comfortable being hands‑on and shipping in short cycles while staying pragmatic about trade‑offs. You can explain trade‑offs simply and earn trust with clients and teammates; you operate well in ambiguity and prioritise quickly. You care about quality, operability and safe iteration (runbooks/observability/rollback).
What we offer
- High‑impact work with leading organisations across sectors, within a collaborative engineering‑led AI capability.
- Continuous development through the FDE Academy, strengthening the technical capabilities required to build and operate AI systems in production environments.
- Opportunities to participate in hackathons, engineering showcases and innovation challenges.
- Learning and certification support across cloud, AI and engineering platforms.
- Competitive compensation and benefits.
- Flexible hybrid working arrangements depending on client needs.
Travel & Working Model
Hybrid working and periodic travel to client sites across the UK (and occasionally internationally), discussed based on projects and location.
Inclusion and accessibility
EY is committed to building an inclusive culture where everyone can thrive. If you require adjustments or support during the recruitment process, we encourage you to let us know.
Senior Consultant, Forward Deployed Engineer, TC, FS in London employer: 慨正橡扯
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Consultant in London, you'll engage in high-impact projects with leading organisations while benefiting from continuous development through our FDE Academy, flexible hybrid working arrangements, and opportunities for professional growth in the rapidly evolving field of AI. Join us to be part of a diverse team that values inclusion and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, Forward Deployed Engineer, TC, FS in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Consultant, Forward Deployed Engineer, TC, FS in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Consultant role. Highlight your experience with AI, software engineering, and client delivery, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with Python, TypeScript, and any cloud platforms like Azure or AWS. We love seeing candidates who can demonstrate their hands-on experience with AI/ML technologies.
Communicate Clearly:When writing your application, keep it clear and concise. Use straightforward language to explain your past projects and how they relate to the role. Remember, we’re looking for someone who can communicate complex ideas simply, so show us you can do that right from the start!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the essential skills listed in the job description, like Python, TypeScript, and AI/ML concepts. Brush up on your knowledge of RAG engineering and cloud platforms like Azure or AWS. Being able to discuss these topics confidently will show that you're ready to hit the ground running.
✨Prepare for Client-Facing Scenarios
Since this role involves collaborating with clients, practice how you would explain complex technical concepts to non-technical stakeholders. Think about examples from your past experiences where you successfully communicated technical details and how you can apply that to this position.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to translate complex problems into workable solutions, which is key for a Forward Deployed Engineer.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and the company’s approach to responsible AI. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.
