Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Developer/Engineer

London
1 week ago
Create job alert

AI Developer - Generative AI Specialist - 3 months+ - Hybrid - Rate circa £500-£650

We are looking for an experienced AI Developer to join a team developing cutting edge AI solutions who will either have current and active SC clearance or have the ability to be able to obtain SC clearance.

You will provide solutions across both Azure and AWS technologies and importantly have a demonstrable background in C#.Net . This will be a very much collaborative role working with a range of domain experts. Being the AI SME you will provide technical expertise on GenAI capabilities and its limitations to the non-technical people.

What you will bring to the team

Fine-tune Large Language Models (LLMs) and other generative architectures.
Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning.
Experiment with model configurations to balance performance, cost, and scalability.
Build robust data pipelines for continuous model improvement and retraining.
Ensure compliance with ethical AI and data governance standards (privacy, bias mitigation).
Develop APIs, microservices, and integrations to embed GenAI models into enterprise workflows.
Work with frontend and backend teams to deliver AI-driven features in production.Required Skills

Programming: Python, .NET/C# (Key to have a background in C#)
Knowledge of AI principles and AI ethics
Knowledge of data safety in LLM usage
Experience with:
AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2
Azure: Azure OpenAI Service, Cosmos DB
Retrieval-Augmented Generation (RAG), Graph RAG
Embedding models and LLM training fundamentals

Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.

Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003

Related Jobs

View all jobs

Software Engineer - Industrial IoT

Senior Automation Engineer

Software Engineer - Industrial IoT

Backend Python Developer

Full Stack Developer

Back End Developer - New Cutting Edge AI Product (Node.Js)

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.

Edge Computing Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK edge computing hiring has moved from tool‑lists to capability‑driven assessments that emphasise resilient edge architectures, real‑time data pipelines, secure device fleets, container/Kubernetes at the edge, on‑device/near‑edge ML, and measurable business impact (latency, reliability, cost‑to‑serve). This guide explains what’s changed, what to expect in interviews & how to prepare—especially for edge platform engineers, IoT/OT engineers, edge SREs, embedded/firmware engineers, edge AI/ML engineers, network engineers (5G/private LTE), security specialists & product managers. Who this is for: Edge platform/SRE, IoT solution architects, embedded/firmware developers, edge AI/ML engineers, network engineers (5G/SD‑WAN), security engineers (OT/ICS), data/streaming engineers, site deployment/field engineers & edge product managers targeting roles in the UK.

Why Edge Computing Careers in the UK Are Becoming More Multidisciplinary

For years, computing innovation was focused on the cloud. But as demand for real-time analytics, low-latency processing and secure local data handling grows, edge computing has become the next frontier. From autonomous vehicles to healthcare monitoring devices, retail checkout systems to industrial IoT, edge computing is transforming how data is processed and used in the UK. This shift has also changed what it means to work in the field. Edge computing careers are no longer purely technical. They now require knowledge of law, ethics, psychology, linguistics & design, as professionals must consider regulation, human behaviour, communication & usability alongside engineering. In this article, we’ll explore why UK edge computing careers are becoming more multidisciplinary, how these five fields intersect with edge roles, and what job-seekers & employers need to know to thrive in this evolving landscape.

Edge Computing Team Structures Explained: Who Does What in a Modern Edge Computing Department

Edge computing is expanding rapidly in the UK, driven by demands for low latency, on-site processing, IoT proliferation, autonomous systems, 5G, AI inference on devices, and regulatory pressures for data sovereignty. Businesses in sectors such as telecoms, industrial automation, retail, smart cities, autonomous vehicles, and healthcare are pushing computation and intelligence closer to where data is generated. But to design, build, deploy, secure, and maintain edge computing systems requires more than just hardware or software — it requires structured teams with clearly defined roles and responsibilities. If you’re hiring, or applying for roles via EdgeComputingJobs.co.uk, understanding who does what in a mature edge computing department will help you plan better, show relevance in job applications, and build resilient teams. This article covers the key roles in edge computing teams, how they collaborate through the project lifecycle, what skills and qualifications UK employers usually expect, salary benchmarks, challenges and trends, and best practices for structuring effective edge teams.