Machine Learning Engineer Python LLM AWS

Client Server
London
1 month ago
Create job alert

Machine Learning Engineer (Python LLM AWS) London / WFH to £90k

Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems?

You could be progressing your career in a hands-on technical leadership role at a SaaS FinTech; their capital market tools are used by Investment Banks and independent research providers to automate and analyse client service and research consumption, presenting a complete overview of the client relationship made available via the Cloud.

As a Machine Learning Engineer you will lead the Machine Learning activities within the Insights and Data Analytics Team from conception to deployment, creating and scaling high-impact models that solve core product challenges.

You'll define the Machine Learning roadmap from a technical perspective, evaluating model architectures, optimising data pipelines and ensuring that ML features provide actionable insights within the product. This isn't just about training models; it's about building the ML infrastructure that enables the business to iterate and scale with confidence.

There's a modern tech stack, you'll primarily be using Python within an AWS cloud environment, collaborating and providing technical leadership to a small team.

Location / WFH:

You can work from home most of the time, meeting up with colleagues in the London office once a month for team collaboration and meetings.

About you:

You are an experienced Machine Learning Engineer who prioritises system reliability, latency and observability as much as model accuracy You have strong Python skills and experience of leveraging the AWS stack to move models from development environments to robust production services You're comfortable designing high-throughput APIs, managing data and implementing solutions You have experience training, deploying and supporting non-LLM models as well as supporting LLM Services in a production environment You have a strong knowledge of software engineering best practices including TDD, Pair Programming You're collaborative, comfortable mentoring others, provide technical direction and communicating with senior stakeholders You have achieved a 2.1 or above in a STEM discipline

What's in it for you:

Salary to £90k WFH office budget Mainly remote working (1x month in London) Tailored personal flexible benefits package

Related Jobs

View all jobs

Senior Machine Learning Engineer - LLM

Machine Learning Engineer

AI Engineer / GenAI Engineer / LLM Engineer / Machine Learning Engineer / Data Scientist (GenAI[...]

Machine Learning Engineer

Machine Learning Engineer

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.