Forward Deployed Engineer

VIQU IT
London, United Kingdom
2 weeks ago
£800 – £850 pd

Salary

£800 – £850 pd

Job Type
Contract
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
15 Apr 2026 (2 weeks ago)

Forward Deployed Engineer - Contract

Morela is supporting a fast-growing AI start-up in hiring multiple Forward Deployed Engineers to work directly with customers, embedding into their environments to design, build and deploy high-impact AI solutions.

This is not a back-office engineering role. You will be on the front line, translating ambiguous business problems into working AI systems, often under real-world constraints and with limited runway for iteration.

If you are more comfortable shipping solutions with clients than sitting behind internal tickets, this is for you.

WHAT YOU'LL BE DOING

Work directly with clients to understand their business challenges and translate them into scalable, working technical solutions

Design and deploy AI and ML systems in production customer environments

Rapidly prototype, iterate and refine solutions based on real user feedback in real time

Integrate AI models into existing client infrastructure and workflows

Act as a trusted technical partner to both technical and non-technical stakeholders

Troubleshoot and resolve issues in live environments under pressure

Bridge the gap between product, engineering and customer teams, keeping all parties aligned and delivery moving

WHAT WE'RE LOOKING FOR

Core requirements:

Strong, hands-on experience building and deploying AI and ML solutions in production, not just prototypes

Proven background in a consultancy, client-facing or customer-embedded technical role

Ability to operate in ambiguous, fast-moving environments with minimal guidance and maximum ownership

Excellent communication skills, equally comfortable with engineers and senior non-technical stakeholders

Track record of owning delivery end-to-end: scoping through deployment through iteration

Technical experience:

Solid Python programming skills, production standard

Hands-on experience with modern AI stacks: LLMs, NLP, computer vision or similar

Familiarity with model deployment: APIs, cloud platforms (AWS, GCP, Azure), containerisation

Experience integrating AI into real-world systems, not just building models in isolation

Strong understanding of data pipelines and system design

Ideal candidate profile:

Has worked as a Forward Deployed Engineer, Solutions Engineer or AI Consultant previously

Equally comfortable writing production code and leading client conversations, often in the same hour

Pragmatic builder, focused on delivering value, not over-engineering

Confident enough to push back on clients when needed and guide them toward the right solution

Thrives in high-impact, high-visibility environments where the work matters

REALITY CHECK

This role is not for someone who needs tightly defined requirements before they can start. It is not for someone who prefers purely internal engineering work, or who lacks confidence in a client-facing environment.

WORKING SETUP

London-based with 2-3 days per week on-site with clients

Remaining time remote

Outside IR35 — £750 per day

Multiple openings — contract length to be confirmed

About Morela

Morela is one of the first dedicated recruitment practices globally specialising exclusively in Forward Deployed Engineers and high-calibre AI technical talent. We understand this space at a level most agencies simply do not — we know what a genuinely exceptional FDE looks like, where they are, and what it takes to get them to move. We place on both a permanent and contract basis across the UK, Europe and the US.

To apply or discuss in strict confidence: (url removed) | (url removed)

Related Jobs

View all jobs

Forward Deployed Engineer

VIQU IT London, United Kingdom
£800 – £850 pd Hybrid

Forward Deployed Engineer - Sydney

OpenAI United Kingdom
Hybrid

Forward Deployed Engineer - London

OpenAI London, United Kingdom
Hybrid

Forward Deployed Engineer - Munich

OpenAI United Kingdom
Hybrid

Forward Deployed Software Engineer - London

OpenAI London, United Kingdom
Hybrid

Forward Deployed Software Engineer - Munich

OpenAI United Kingdom
Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.