Machine Learning Engineer MLOps Python LLM AWS

Client Server Limited; Greater London; Remote; GBP 80,000 - 90,000; Full time

Benefits offered by this job

WFH budget

Remote work

Flexible benefits

Job summary

Client Server Limited is seeking a senior Machine Learning Engineer to own ML activities from conception to deployment in a SaaS FinTech environment. You will lead a small team, define the ML roadmap, evaluate architectures and optimise data pipelines within AWS, focusing on reliable production systems.

You will work primarily remotely with London office meetups, using Python and AWS to move models into robust production services and deliver actionable insights through scalable ML infrastructure.

Qualifications

• Requires strong Python programming skills and production experience in AWS.
• Solid MLOps background with focus on scalable ML pipelines.
• Experience training, deploying and supporting non-LLM models and LLM services in production.

Responsibilities

• Lead ML activities within the Insights and Data Analytics Team from conception to deployment.
• Define the ML roadmap, evaluate architectures and optimise data pipelines.
• Build ML infrastructure to enable rapid iteration and reliable deployment.
• Mentor teammates and communicate technical direction to senior stakeholders.

Skills

Python

AWS

MLOps

LLM

Education

2.1 in Computer Science or related field

Job description

London, Greater London | £80k - £90k per year

Machine Learning Engineer (MLOps 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 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.

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 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

What's in it for you:

• Salary to £90k
• WFH office budget
• Mainly remote working (x2 days a month in London)
• Tailored personal flexible benefits package