Machine Learning Engineer

Financial Ombudsman Service; City Of London; On-site; GBP 60,000 - 75,000; Full time

Job summary

A renowned financial services organization based in the UK is seeking a Machine Learning Engineer to lead the development and deployment of machine learning solutions. The role requires strong skills in Python and machine learning techniques, as well as the ability to work in a collaborative environment. Candidates should have a proven track record in delivering ML projects and a comprehensive understanding of cloud technologies. The position offers a competitive salary and a flexible hybrid working model.

Benefits

25 days holiday entitlement

Generous pension

Private medical insurance

Nationwide gym membership discounts

Qualifications

• Proven experience leading machine learning projects into production.
• Solid programming experience in Python and knowledge of algorithms.
• Experience with cloud platforms and serverless pipelines.

Responsibilities

• Design and build Gen AI application stacks.
• Scale and maintain ML pipelines and workflows.
• Drive ML Ops excellence.

Skills

Python

Machine Learning

NLP

AI

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

AWS

GCP

SQL

NoSQL

Job description

Looking for a new challenge?

Take a look at our current vacancies. If you see a vacancy that is right for you, we encourage you to apply!

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. Manchester or Coventry - £60,000 - £65,000 (dependant on experience)

Working hours: 35 hours per week, full-time

Reporting to: Machine Learning Lead

Location: London Docklands, Coventry or Manchester – 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 optimisations of existing solutions
• Input to overall sprint planning and product backlog creation/maintenance.

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 Studio, D365, M365 Copilot, MS SDKs

Why Financial Ombudsman Service?

We are a values led organisation. Our values define our culture, influence our decisions, and underpin our vision and strategy. They set out how we play our PART through Purpose, Ambition, Respect and Trust. You can learn more about our values here: https://www.financial-ombudsman.org.uk/who-we-are/aims-values

We also offer an attractive, competitive salary and flexible benefits to suit our people. Here’s a list of some of the many benefits and perks you can get for working with us:

Benefits

• 25 days holiday entitlement, with the option to buy extra or sell days
• Generous pension
• Various Family Friendly Policies, including enhanced maternity pay, carers and dependants leave
• Employer provided benefits such as Private medical insurance, virtual GP, Critical illness cover, Life assurance cover, to name a few
• Choice of voluntary benefits including Technology scheme, Cycle to work scheme, Will-writing service amongst others
• Employee Assistance Programme
• Extensive opportunities for personal and career development
• Nationwide gym membership discounts, and a fully equipped on-site gym open 24/7 in London
• Extensive Well-being resources including on-site therapists (London office only)
• Beautiful and bright London office looking over the Thames and near to mainline stations
• Our Manchester office is 7 minutes’ walk from the Oxford Road station
• Our employee led networks (a couple of examples being our Women's Network, Carers network, and Neurodiverse Network) do fantastic work in educating and raising awareness across a range of experiences and support us in being an inclusive employer and a great place to work. You can get involved, too!

How do I apply?

• Please upload your CV, which should highlight your relevant skills and experience.

Due to high application numbers this advert may end earlier than the date specified, so please don't delay and submit your application asap.

A full job profile is available on request and will be provided to candidates shortlisted to the first stage of the recruitment process.

We’re proud to be an inclusive employer

We view diversity as fundamental to our success and welcome applications from underrepresented groups across all communities.

We’re committed to being a great place to work– attracting and developing people from the widest possible range of backgrounds. We want everyone to perform at their best and feel able to be themselves. We understand that if we’re diverse and inclusive, we’ll better understand different perspectives, which is fundamental to our job resolving financial complaints.

We welcome applications from Black and other ethnic minority candidates, and female candidates, for all positions and particularly so for senior leader positions as they are under-represented within the Financial Ombudsman Service at this level.

We are proud to be a Disability Confident Leader. This means that we will put disabled candidates entering under the scheme through to the next stage of the recruitment process should they meet the minimum criteria for a role. A minimum criterion needs to be measurable from reviewing a candidate’s CV/supporting statement. Exceptions may apply if due to the volume of applications, we are not able to interview all eligible candidates who qualify under the scheme. If you would like to speak to a member of our team about any reasonable adjustments you need, please email [e-mail] and let us know your preferred method of contact.

Find out more

Check out below channels to find out more about everyday life at the Financial Ombudsman Service – and don’t forget to follow us while you’re there!

• LinkedIn: Financial Ombudsman Service
• Our careers page: https://www.financial-ombudsman.org.uk/who-we-are/join-us

Good luck with your application!