At a Glance
- Tasks: Lead AI solution delivery and guide teams in designing robust architectures.
- Company: Join EY, a global leader shaping the future of work.
- Benefits: Competitive salary, flexible hybrid work, and continuous learning opportunities.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Make an impact by building AI systems that solve real-world problems.
- Qualifications: Experience in software engineering, AI/ML, and cloud architecture.
The predicted salary is between 70000 - 90000 £ per year.
- Job Title
- Forward Deployed Engineer, Manager (UK)
- Location
- London
- Salary
- Competitive
- Date
Job Description
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
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 lead the technical delivery of AI-enabled solution threads within client engagements.
You will guide teams in designing robust AI architectures, ensure engineering quality across delivery, and help translate complex business problems into reliable systems operating in production environments.
You will work at the intersection of software engineering, product thinking and client delivery, shaping technical approaches and supporting squads in delivering high‑quality solutions.
In this Manager role within the FDE team, you will act as a technical leader within delivery teams, shaping solutions, raising engineering standards and guiding teams to build AI-enabled systems that operate reliably within complex enterprise environments.
Responsibilities
- Client‑Facing Engineering & Delivery
- Lead technical delivery for AI solution areas, guiding teams in translating client needs into scalable engineering approaches.
- Engage with business and technology stakeholders to shape technical direction, communicate trade‑offs and ensure alignment on solution outcomes.
- Support delivery teams in navigating complex client environments while ensuring engineering quality and reliability.
- Solution Design & Implementation
- Architect AI-enabled services such as agents, RAG pipelines and supporting platform components.
- Ensure solutions are designed with reliability, observability and operational readiness in mind.
- Guide teams in implementing responsible‑AI controls, evaluation approaches and engineering best practices.
- Product Mindset & Continuous Improvement
- Mentor engineers and support the development of strong engineering practices across squads.
- Lead technical reviews and help establish reusable patterns, accelerators and reference architectures.
- Contribute to internal knowledge sharing and external thought leadership around applied AI engineering.
Qualifications
Essential Skills & Experience
- Software & systems engineering: Python/Type Script, distributed systems, API/microservice design, testing/CI/CD.
- Applied AI/ML: building and operating ML/DL in production; expertise in NLP/CV/transformers and classical ML.
- LLM/RAG engineering: embeddings, vector stores (FAISS/Milvus/Pinecone), retrieval strategies, grounding and hallucination mitigation.
- LLMOps: prompt pipelines, automated evaluation, telemetry/drift monitoring, model versioning and release management.
- Cloud architecture: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless; IAM and network security.
- Data engineering: Spark/Databricks, ETL/ELT; collaboration with platform/data teams to deliver cloud-native data + AI architectures.
- Enterprise integration: legacy/Lo B systems; design for reliability/observability (SLIs/SLOs) and operational readiness with runbooks/SRE practices.
- Product leadership: discovery facilitation, PRDs, acceptance criteria, prioritisation (RICE/Mo SCo W), value/adoption metrics.
- Responsible AI & compliance: privacy‑by‑design, auditability and UK regulatory awareness (FCA, PRA, GDPR).
- Consulting capabilities: stakeholder management, client‑ready communication, time/budget/risk management and team leadership.
- Nice to Have
- Big‑data/graph stacks (e. g., Hadoop, Cassandra, Neo4j) and streaming (Event Hub/Kafka).
- Azure/AWS Solutions Architect experience; 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 are hands‑on with engineering while setting the technical direction for delivery teams.
- You help teams navigate technical trade‑offs and ensure solutions meet enterprise standards for reliability and security.
- You care about quality, operational readiness and long‑term maintainability of systems delivered to clients.
What We Offer
High‑impact work with leading organisations across sectors within a collaborative engineering‑led AI capability.
- You Will Benefit From
- Continuous development through the FDE Academy, strengthening architecture and engineering leadership capabilities required to build AI systems at scale.
- 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.
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StudySmarter Expert Advice🤫
We think this is how you could land Manager, Forward Deployed Engineer, TC, FS in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Limelight Health or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Limelight Health.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Limelight Health.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Limelight Health that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Manager, Forward Deployed Engineer, TC, FS in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Limelight Health.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Limelight Health and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Limelight Health
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Limelight Health uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
