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

Apply Now

Artificial Intelligence Engineer

Accelero
Sheffield
4 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Role:AI Engineer

Salary:£60,000 to £65,000+ Benefits

Location:Fully remote


Join our fast-growing tech scale up company to develop robust, scalable, and intelligent agentic systems that integrate seamlessly into software development lifecycles (SDLC). Lead the charge in developing LLM-powered agents, assistants, custom tooling for developers, and AI automation frameworks.


This is a hands-on role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real-time AI systems.


Key Responsibilities:

  • LLM Agent Development:Design and build intelligent, multi-step LLM agents using frameworks like LangChain, LangGraph, LlamaIndex, etc.
  • AI Assistant & Tool Innovation:Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity.
  • AI Engineering:Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models.
  • Prompt Engineering:Craft, iterate, and test prompt strategies to improve accuracy and responsiveness.
  • Cross-Functional Collaboration:Partner with engineering, product, and QA teams to deliver agent-led automation solutions.
  • Prototyping & R&D:Drive rapid prototyping of LLM-based solutions, develop PoCs, and validate ideas.
  • Responsible AI:Promote safe, ethical, and transparent AI practices.
  • AI Advocacy:Lead workshops, demos, and documentation efforts to evangelize AI agent capabilities.


Experience:

  • Agentic Experience:Hands-on experience with frameworks like LangChain, LangGraph, or similar.
  • Deep AI Knowledge:Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search.
  • Engineering Excellence:Fluency in Python and TypeScript. Able to write robust, testable production code.
  • Product Thinking:Ability to translate user needs into functional AI experiences.
  • Cloud & Data Skills:Strong exposure to cloud platforms (Azure/AWS/GCP).
  • Model Deployment:Experience evaluating, fine-tuning, and deploying LLMs in production.
  • Collaborative Spirit:Able to work in a highly cross-functional and fast-paced environment.
  • Experimentation Mindset:Passion for testing ideas, building rapidly, and learning from experiments.


If interested, please apply with an up to date CV or email for more information.

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.