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# Machine Learning Engineer MLOps Python LLM AWS

- **Company:** gb
Client Server
- **Location:** Greater London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £90,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Cloud Computing, Python (Programming Language), Machine Learning, Pair Programming, Software Construction, Large Language Models, Model Validation, Reliability of Systems, Information Technology, Low Latency, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** October 10, 2026
- **Apply:** https://www.totaljobs.com/job/machine-learning-engineer/client-server-job108121788

## About the Role

* 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 have strong MLOps experience
 * You have experience training, deploying and supporting non-LLM models as well as supporting LLM Services in a production environment
 * You're comfortable designing high-throughput APIs, managing data and implementing solutions
 * 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 Computer Science or closely related discipline from a top tier university

## Description

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 and AI 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 twice a month for team collaboration and meetings.