AI Forward Deployed Engineer

eFinancialCareers
London, United Kingdom
3 weeks ago
Job Type
Contract
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
8 May 2026 (3 weeks ago)

AI Forward Deployed Engineer

Leading Buy Side Client | London | Hybrid | Competitive Daily Rate

The Opportunity

Join a leading Buy Side Client building production AI systems that transform how investment professionals work. This isn't an R&D role—you'll ship LLM-powered applications that investment and finance teams depend on daily, while simultaneously building the governed AI platform that underpins the entire organisation.

50% embedding with business teams | 50% platform engineering

What You'll Build

Embedded AI Applications:

  1. Ship high-value LLM applications directly with Investment and Finance teams
  2. Turn ambiguous business problems into production-grade AI solutions
  3. Deploy agentic workflows using Claude and ChatGPT APIs
  4. Work alongside investment professionals to identify and solve real problems

AI Platform Engineering:

  1. Build and extend governed AI platform: LLM gateway, model control layer, privacy proxy
  2. Develop MCP connectors for Salesforce, M365, deal flow systems, analytics platforms, and third-party data providers
  3. Implement logging, audit trails, observability, and evals tooling
  4. Design agentic workflows spanning multiple systems with proper tracing, scoring, and regression checks
  5. Ensure compliance with regulatory requirements (FCA, DORA)

Essential Skills:

Production AI Engineering:

  1. Deep practical fluency with Claude and ChatGPT APIs, tool use, structured outputs, and prompting techniques
  2. Track record shipping LLM-powered applications that users depend on
  3. Experience with LLM gateways, privacy proxies, agent observability, or evals frameworks (even at hobby/prototype level)

Software Engineering:

  1. Strong Python and TypeScript for production systems
  2. Modern Azure infrastructure and services
  3. Integration patterns: REST APIs, MCP, webhooks, SSO/Entra ID
  4. Production code experience in regulated or enterprise environments

Business & Communication:

  1. Excellent communicator who can sit with investment professionals and turn conversations into code
  2. Ability to work with ambiguous business problems and ship concrete solutions
  3. Experience pairing with non-technical stakeholders

Related Jobs

View all jobs

Data Engineer (Forward Deployed)

NScale London, United Kingdom
On-site

AI Deployment Engineer

Artis Recruitment Wc1A1Ap, WC1A 1AP, United Kingdom
£100,000 – £125,000 pa Remote

DevSecOps Engineer

CBSbutler Holdings Limited trading as CBSbutler Romsey, Hampshire, United Kingdom
£90,000 – £100,000 pa Hybrid Clearance Required

.NET Developer (AI)

Reed B32Ta, B3 2TA, United Kingdom
£45,000 – £55,000 pa Hybrid

Cyber Software Vulnerability Engineer

Forward Role Itchen Stoke, SO24 0QX, United Kingdom
£45,000 – £65,000 pa On-site Clearance Required

Embedded Software Engineer

Forward Role Cheltenham, United Kingdom
£55,000 – £90,000 pa On-site Clearance Required

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Edge Computing Jobs in the UK (2026 Guide)

Where to advertise edge computing jobs UK in 2026: the specialist boards and channels that reach embedded, IoT, 5G MEC and edge AI engineering talent. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Edge Computing Jobs UK 2026: What to Expect Over the Next 3 Years

Edge Computing Jobs UK 2026: roles, salaries and the IoT, 5G and edge AI hiring trends shaping UK edge computing careers over the next three years. Edge computing is quietly becoming one of the most consequential technology shifts of the decade — and the jobs market is starting to reflect that. As the limitations of centralised cloud infrastructure become apparent across industries that require real-time processing, ultra-low latency, and data sovereignty, the demand for professionals who can design, build, and manage computing at the edge has moved from niche to mainstream. But the edge computing jobs market of 2026 is not yet the mature, well-defined landscape that cloud computing has become. It is still forming. New architectures are emerging, standards are being established, and the range of industries deploying edge infrastructure is expanding rapidly — from manufacturing and telecommunications to healthcare, retail, autonomous vehicles, and smart cities. That creates a particular kind of opportunity for job seekers: the chance to build deep expertise in a discipline that is growing faster than the talent pipeline serving it. The candidates who will thrive over the next three years are those who understand where edge computing is heading — which use cases are driving commercial deployment, which technologies are defining the architecture of distributed systems, and how the skills required to work at the edge differ meaningfully from those that served professionals well in centralised cloud environments. This article breaks down what the UK edge computing jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.