Machine Learning Engineer jobs in United Kingdom
Leeds Data Analyst: Hybrid Role with Growth & Dashboards
Michael Page (UK)
Data Engineer (Remote from UK)
Jobgether
Senior Data Scientist — Contact Ops & Forecasting
E.O.N Worldwide
Senior Data Scientist
E.O.N Worldwide
Discover more opportunities than anywhere else. Find more jobs nowSenior Data Analyst — Insurance Pricing & Data Quality
Square One Resources
Data Analyst
Square One Resources
Life Sciences Data Scientist, AI & ML for Therapeutics
McKinsey & Company, Inc.
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Scottish Government
Data Scientist - Scientific AI, Life Sciences
McKinsey & Company, Inc.
Football Performance Data Scientist — Insights & Strategy
Everton Football Club
Data Scientist - Men's First Team
Everton Football Club
Credit Risk Data Analyst Apprentice (Fully Funded)
Virgin Media Ltd
Master Data & Product Change Specialist - 12-Month Contract
Coopervision
Customer Success Data Specialist, Logistics & E-commerce
Atticus Advisory Solutions Inc
Hybrid Carbon Data Analyst: GHG Insights & Reporting
Veolia
Customer Service Data Specialist
Atticus Advisory Solutions Inc
Senior Data Scientist - AI & Analytics Leadership
IBM
Security Services Data Modelling and Engineering Senior Associate
JPMorganChase
Senior Data Engineer – Security Services & AI Pipelines
JPMorganChase
Senior Data Engineer
LT Harper - Cyber Security Recruitment
Data Engineer
Job summary
A leading financial services company is seeking a skilled Data & Analytics Engineer to enhance data systems and management reporting. In this hybrid role, you will design reporting solutions and support data strategy. Essential skills include SQL, Python, and ETL tools, with desirable experience in Microsoft Azure and DevOps. The position offers a salary of £60,000-£65,000, and you will work closely with internal teams to deliver actionable insights.
Qualifications
- Proven experience working in a financial services environment or insurance broker.
- Experience in Extract, Transform, Load processes to consolidate and transform data.
Responsibilities
- Maintain and optimise business data usage to support decision-making.
- Develop and implement data strategies to enhance analytical capabilities.
- Act as the primary liaison for data coordination between teams.
Skills
Location: London (Hybrid, 3 days in office)
Salary: £60,000-£65,000
We are seeking a skilled Data & Analytics Engineer to join a leading financial services and insurance client. You will play a key role in building, maintaining, and enhancing the company's data systems and management reporting, helping teams turn information into actionable insights.
You will design and implement reporting solutions and business intelligence (BI) tools that improve data accessibility and strengthen analytics across the organisation. Working closely with internal teams and external partners, you will support the delivery of the company's data strategy while producing accurate and timely reporting.
- Maintain and optimise business data usage to support decision‑making.
- Develop and implement data strategies to enhance the analytical capabilities of Syndicate and Compliance teams.
- Act as the primary liaison for data coordination between the Syndicate team and central systems (HUB).
- Deliver high‑quality data for forms, statements, reports, member communications, and online portals.
- SQL & Python: Writing efficient queries, automating data processing, and analytics scripting.
- ETL Tools: Experience in Extract, Transform, Load processes to consolidate and transform data.
- Industry Experience: Proven experience working in a financial services environment or insurance broker.
- Microsoft Azure: Experience with Azure Data Factory (workflow orchestration), Azure Synapse Analytics (data warehousing), and Azure Functions (task automation).
- Azure DevOps: Skilled in CI/CD, pipeline creation, and deployment automation.
- .NET / C# Development: Comfortable developing backend processes and automation scripts in C#.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.