AI Engineer - Machine Learning LLM

JR United Kingdom
Newcastle upon Tyne
8 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer: NLP & Data Science for Digital Insights

AI Engineer / Data Scientist - Production ML & OCR

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

AI Engineering Lead - GenAI, MLOps & Production (Hybrid)

Machine Learning Engineer

Machine Learning Engineer

Social network you want to login/join with:

AI Engineer - Machine Learning LLM, Newcastle-upon-Tyne, Tyne and WearClient:

Client Server

Location:

Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

6

Posted:

18.04.2025

Expiry Date:

02.06.2025

Job Description:

AI Engineer (Machine Learning LLM Python) Newcastle to £200k

Are you an AI Engineer with a first-class education looking for an opportunity to progress your career, working on complex and interesting AI systems in an impactful role?

You could be joining a FinTech start-up, the company has secure backing and an established Hedge Fund client as a partner.

As an AI Engineer, you will join a new team responsible for evaluating and introducing AI and LLM Machine Learning functionality into the company's proprietary trading systems. There's lots of Greenfield development projects to get stuck into and you'll have an impactful role in improving systems and processes, collaborating with a hugely talented team, with continual learning and self-development opportunities.

Location:

You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!).

About you:

  • You have achieved a minimum 2.1 BSc in Computer Science or similar technical discipline from a Russell Group university, backed by A's at A-level.
  • You're a technologist who enjoys collaborating and problem-solving, working on complex, distributed systems.
  • You have Python coding skills combined with at least one other OO programming language, e.g. C#, Java, C++.
  • You have experience of working with Artificial Intelligence and are excited about the possibilities of AI in real-world settings.
  • You have a data-centric mindset with a good knowledge of LLMs (Large Language Models) and NLP (Natural Language Processing).
  • You have a strong knowledge of modern software engineering best practices and have experience across the full software development lifecycle.
  • You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms.
  • You're excited to join a start-up in a role that you can shape and influence.

What's in it for you:

As an AI Engineer / Developer (Python LLM) you will earn a competitive package:

  • Salary to £200,000 (negotiable).
  • Bonus.
  • 25 days holiday.
  • Social team atmosphere with a range of events and early finish for drinks on Fridays.

Apply nowto find out more about this AI Engineer / Developer (Python LLM) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

#J-18808-Ljbffr

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.

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.

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.