Job Specifications
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Machine Learning Engineer
We’re looking for a skilled Machine Learning Engineer with proven experience leading the end-to-end delivery of machine learning projects into production environments — from initial concept and data exploration through to deployment and monitoring.
You’ll be part of a team that values innovation, ownership, and continuous improvement. If you thrive in a collaborative environment, enjoy solving complex problems with data, and want your work to have a direct and visible impact — this could be the perfect next step in your career.
Contract: Permanent
Salary: London - £70,000 - £75,000 (dependant on experience)
Working hours: 35 hours per week, full-time
Reporting to: Machine Learning Lead
Location: London Docklands – Our permanent hybrid policy sees us all working at least four days across a fortnight in the office.
At the Financial Ombudsman Service, we’re on an exciting journey to redefine what modern, efficient, and accessible alternative dispute resolution looks like. Our mission? To set the gold standard for customer-focused service in a rapidly evolving financial landscape.
Over the past few years, we’ve embraced bold changes to enhance the customer experience and strengthen our financial sustainability. With a newly formed Executive team at the helm, we’re entering a transformative new chapter—driven by ambition, innovation, and a commitment to moving fast and delivering real impact.
Our Intelligent Automation team is at the heart of this transformation. We’re harnessing the power of AI and Generative AI to unlock smarter, faster, and more scalable solutions across the business.
We’re looking for someone with a proven track record in developing and deploying machine learning solutions—someone who’s ready to take our NLP and Gen AI capabilities to the next level. In this role, you’ll be:
Designing and building Gen AI application stacks
Scaling and maintaining ML pipelines and data transformation workflows
Driving ML Ops excellence across the board
You’ll collaborate closely with architects, senior developers, product owners, and analysts—shaping requirements, influencing solution design, and contributing to architectural decisions. You’ll play a key role in sprint planning, owning user stories, and estimating work that directly impacts our business teams.
This is more than just a technical role—it’s a chance to solve real-world problems using data, automation, and AI. You’ll work hand-in-hand with stakeholders across the organisation, sharing your expertise, building documentation, and helping shape the future of intelligent automation at the Service.
Key Responsibilities
Assess and clarify requirements to provide estimate of the work.
Working within a distributed team, delivering high quality solution
Delivering LLM and Gen AI based automations that supports the business team in enhancing the customer journey
Maintaining our existing machine learning pipelines
Identifying opportunities for Continuous Improvement and optimizations of existing solutions
Input to overall sprint planning and product backlog creation/maintenance.
To be considered for this role, you’ll need to show us that you’ve got the skills and capabilities. You’ll have to meet the following minimum criteria:
Minimum Criteria
Successfully led end-to-end delivery of machine learning projects into production environments
Solid programming experience in Python, as well as solid understanding of programming concepts, algorithms and cloud concepts
Previous experience in solution design and knowledge of architecture frameworks and patterns
Developing serverless pipelines in Azure, AWS or GCP (Azure preferred) and building data transformation pipelines using SQL and No SQL DB
Have a good understanding of different machine learning techniques and ability to explain the methods in detail (regression, clustering, decision trees, reinforcement learning, gradient boosting, CNN, RNN, LSTM, Attention Models, Encoder and Decoder, Transformers, Vector semantics)
Ability to communicate technical concepts and analytical outputs to a diverse set of stakeholders.
Being able to provide estimates against organisational requirements relating to cost and development tasks
Desirable
Previous experience in developing and deploying Gen AI applications to production.
Building and maintaining CI/CD pipeline in Jenkins, Azure Devops or Github actions and ML Ops pipeline in Azure ML, Azure AI Foundry, SageMaker or Vertex AI. IaC – Bicep, ARM, Terraform
Previous experience in using Gen AI frameworks such has LlamaIndex and LangChain
Our Tech stack
Python, C#
Azure Data Factory, Logic Apps
SQL, Cosmos DB
Azure Batch, Azure Functions
Azure Dev Ops – CI/CD, Bicep templates
Azure AI services – Azure AI Foundry, Azure ML, Azure Open AI, Azure Doc Intelligence, Azure Speech to Text
Copilot
About the Company
We’ve been sorting out complaints between financial businesses and their customers since we were set up by Parliament in 2001. Our service is free for consumers, and every year well over 1 million people contact us with queries and complaints about all kinds of financial products and services, for example:
o bank accounts, payments and cards
o payment protection insurance (PPI)
o home, car, travel and other types of insurance
o loans and other credit, like car finance
o debt collection and repayment problems
o mortgages
o f...
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