AI Engineer Machine Learning LLM - Polish Speaking

Client Server
Newcastle upon Tyne
1 day ago
Create job alert

AI Engineer (Machine Learning LLM Python) Newcastle onsite to £85k

Are you an AI Engineer with fluent Polish language skills combined 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 scaling Technology Consultancy, the company has already experienced huge success within the FinTech / finance space as is expanding as a result.

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.

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 fluent Polish and English language skills
  • You have studied at a top 3 university in Poland (or top 200 globally) and have achieved a first class degree (BSc) Computer Science or Mathematics preferred
  • 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 Software Engineer / Developer (Python LLM) you will earn a competitive package:

  • Salary to £85k
  • 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

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

Q1NSLkRldkZFT1NKYXZhLjQ3MDkzLjEyMjcxQGNsaWVudHNlcnZlcm1lcmN1cnkuYXBsaXRyYWsuY29t.gif

Related Jobs

View all jobs

Senior Machine Learning Engineer - LLM

Graduate Machine Learning and AI Engineer

Senior Machine Learning Engineer, Gen AI

Lead Machine Learning Engineer, Gen AI

Machine Learning Engineer, Gen AI

Machine Learning Engineer

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.