AI Engineer - Machine Learning LLM

Client Server
Newcastle upon Tyne
5 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer / Machine Learning Engineer

AI Engineer - Deep Learning - Python - Remote - Outside IR35

AI Engineer / Machine Learning Engineer

AI Engineer - Deep Learning - Python - Remote - Outside IR35

Graduate Machine Learning and AI Engineer

Data Scientist (Government)

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 Russel 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 Healthcare Generous pension contribution Continuous career development opportunities Social team atmosphere with a range of events and early finish for drinks on Fridays

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.

Careers

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.