AI Engineer

Xcede

Liverpool

1 year ago

Applications closed

Related Jobs

View all jobs

AI Engineer (Computer Vision)

AI Engineer / Data Scientist - Production ML & OCR

Software Engineer - (Machine Learning Experience a plus) - hybrid

AI Engineer: NLP & Data Science for Digital Insights

AI Engineer — MLOps, RAG & Cloud AI (AWS)

AI Engineer: End-to-End ML & MLOps Lead

AI Engineer (LLMs)

London office x1 day per month

Up to £90,000 Salary + Bonus & Benefits

OVERVIEW

A great opportunity for an AI Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech with a high-calibre team in place. Your responsibilities as an AI Engineer (LLMs) will include but not be limited to:

Leverage Machine Learning/ NLP techniques to build Large Language Models.
Fine-tune Large Language models and optimise them through applied Machine Learning.
Collaborate with a strong team of AI Engineers to deliver innovative and impactful work.
Leverage Software Engineering best practices and deploy your ML models into production environment.

YOUR SKILLS & EXPERIENCE

A successful AI Engineer/ Machine Learning Engineer will have the following:

Min. 3 years commercial experience in AI/ ML Engineering
Strong software engineering skills and ML deployment experience (docker, kubernetes, jenkins etc)
Solid coding skills in Python.
Strong experience in Large Language Models.

HOW TO APPLY

Please register your interest by sending your CV to or click the Apply Link!

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

Industry Insights

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

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.