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3,404

Data Engineer jobs in United Kingdom

ML/Data Software Engineer (Fixed-Term 12 months)

Arm

Cambridge
On-site
GBP 45,000 - 70,000
30+ days ago
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Vacancy for Data Storage Engineer at The National Archives

Digital Preservation Coalition

Greater London
Hybrid
GBP 40,000 - 60,000
30+ days ago

Senior Data Platform Engineer

easyJet Airline Company PLC

City Of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

Senior Data Infrastructure Engineer

Fanalysis Limited

City Of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

Energy Trading Data Engineer: Forecasting & Pipelines

Octopus Energy Group

City Of London
On-site
GBP 40,000 - 55,000
30+ days ago
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Data Platform Engineer in Reading - Peregrine

WorksHub

Reading
On-site
GBP 100,000 - 125,000
30+ days ago

Data Pipeline Engineer: Python/SQL/Scala Expert

WorksHub

Manchester
On-site
GBP 80,000 - 100,000
30+ days ago

Remote Data Engineer: Build Scalable Pipelines & APIs

WorksHub

United Kingdom
Remote
GBP 60,000 - 80,000
30+ days ago
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Bright Junior Data Engineers required x 2 | London | SaaS based Data Platform

BIOHY

Greater London
Hybrid
GBP 40,000 - 50,000
30 days ago

Data Engineers with DV Clearance (Developed Vetting) in London - Deloitte - Recruitment

WorksHub

City Of London
On-site
GBP 50,000 - 80,000
30+ days ago

Graduate Data Analyst

GRAYCE

Rotherham
On-site
GBP 25,000 - 35,000
30+ days ago

Graduate Data Analyst

GRAYCE

Sheffield
On-site
GBP 25,000 - 30,000
30+ days ago

Graduate Data Analyst

GRAYCE

East Midlands
On-site
GBP 80,000 - 100,000
30+ days ago

Machine Learning Engineer

Datatonic

City Of London
Hybrid
GBP 50,000 - 70,000
30 days ago

Machine Learning Engineer

NLP PEOPLE

Oxford
Hybrid
GBP 45,000 - 80,000
30+ days ago

Graduate Data Analyst - London

GRAYCE

Basildon
On-site
GBP 28,000 - 35,000
30+ days ago

Graduate Data Analyst - London

Grayce

City Of London
On-site
GBP 25,000 - 31,000
30+ days ago

Data Analyst

Oscar

Oxford
On-site
GBP 45,000 - 65,000
30+ days ago

Senior Machine Learning Engineer

Trustpilot, Inc.

City of Edinburgh
On-site
GBP 100,000 - 125,000
30+ days ago

Machine Learning Engineer

lloyds banking group

Bristol
Hybrid
GBP 70,000 - 107,000
30+ days ago

Senior Machine Learning Engineer

Rowden

Bristol
On-site
GBP 70,000 - 90,000
30+ days ago

Machine Learning Engineer

Harrods Careers

City Of London
On-site
GBP 125,000 - 150,000
30+ days ago

Machine Learning Engineer (LLM) | London, UK

NLP PEOPLE

City Of London
Hybrid
GBP 70,000 - 100,000
30+ days ago

Data Analyst

LaunchDarkly

United Kingdom
Remote
GBP 88,000 - 143,000
30+ days ago

Senior Geospatial Data Scientist

Syngenta Group

City Of London
Remote
GBP 100,000 - 125,000
30+ days ago

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ML/Data Software Engineer (Fixed-Term 12 months)
Arm
Cambridge
On-site
GBP 45,000 - 70,000
Full time
30+ days ago

Job summary

A leading technology company in Cambridge is seeking a confident developer to create automation workflows and applications integrating data with ML models. Responsibilities include designing user-friendly interfaces and building APIs. Ideal candidates should have a strong software engineering background with proficiency in Python and Databricks, as well as problem-solving and collaboration skills. This role offers competitive pay and a supportive work culture.

Benefits

Competitive pay
Supportive work culture
Inclusion and accommodations provided

Qualifications

  • Strong software engineering background with experience across front-end and back-end.
  • Hands-on experience with Databricks (Spark, Delta Lake, ML workflows).
  • Ability to work independently and own delivery from design to deployment.

Responsibilities

  • Design and develop applications that integrate data pipelines, ML models, and user-friendly interfaces.
  • Build APIs and automation workflows using Databricks and related tools.
  • Partner with cross-functional teams to define requirements and deliver impactful solutions.

Skills

Problem-solving skills
Collaboration
Agile methodologies

Tools

Python
JavaScript/TypeScript
Databricks
Process Mining tools
Job description
About the Role

We’re looking for a confident leader who can guide ambitious results collaboratively. As the sole developer in the team, you’ll collaborate with multiple data groups at Arm, creating automation workflows, APIs, and applications that connect datasets with ML models — including innovative chat-to-data solutions.

What You’ll Do
  • Design and develop applications that integrate data pipelines, ML models, and user-friendly interfaces.
  • Build APIs and automation workflows using Databricks and related tools.
  • Apply Process Mining methods to uncover quality and risk insights.
  • Partner with cross-functional teams to define requirements and deliver impactful solutions.
  • Strong problem-solving skills and the ability to work independently.
  • Familiarity with Agile methods, Git workflows, CI/CD, and cloud deployment.
What We’re Looking For
  • Strong software engineering background with experience across front-end and back-end.
  • Proficiency in Python, JavaScript/TypeScript, and database design.
  • Hands-on experience with Databricks (Spark, Delta Lake, ML workflows).
  • Understanding of Process Mining tools (e.g., Celonis, UiPath Process Mining).
  • Ability to work independently and own delivery from design to deployment.
Nice to Have
  • Experience with MLOps practices.
  • Familiarity with chat-to-data or conversational AI frameworks.
  • Knowledge of predictive analytics in product quality or risk contexts.
What’s in it for you?
  • The chance to pioneer AI infrastructure for quality at Arm.
  • End-to-end ownership with visible business impact.
  • Collaboration with leading experts in ML and data.
  • A fixed-term contract with competitive pay, benefits, and a supportive work culture.
  • We are committed to inclusion and provide reasonable accommodations to support all applicants.

#LI-ZN2

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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* 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.

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