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1,928

Machine Learning Engineer jobs in United Kingdom

Data Scientist - Commodities

Qube Research & Technologies

London
On-site
GBP 60,000 - 80,000
12 days ago
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Temporary Data Analyst - Fully Remote (ID:22677)

Angela Mortimer

United Kingdom
Remote
GBP 60,000 - 80,000
12 days ago

Data Scientist

Autone

London
On-site
GBP 65,000 - 90,000
12 days ago

Second Line IT Analyst

Matchtech

Wimborne Minster
On-site
GBP 35,000 - 50,000
12 days ago

Lead Databricks Data Engineer

Computer Futures

United Kingdom
Hybrid
GBP 80,000 - 100,000
12 days ago
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Senior Data Analyst - Thg Nutrition

THG

Manchester
On-site
GBP 100,000 - 125,000
13 days ago

Data Analyst

Cobre del Mayo SA de CV

Manchester
Hybrid
GBP 35,000 - 50,000
13 days ago

Network Data Analyst

NHS

Colchester
On-site
GBP 55,000 - 63,000
13 days ago
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Senior Data Scientist - Personalisation/Segmentation

Takeaway.com

Hart
On-site
GBP 50,000 - 70,000
13 days ago

Data Engineer

G's Group

Cambridgeshire and Peterborough
On-site
GBP 45,000 - 60,000
13 days ago

Senior Data Engineer (Reporting & Analytics)

Kitman Labs

Greater Manchester
On-site
GBP 60,000 - 85,000
13 days ago

Senior Data Analyst

Pertemps

Plymouth
On-site
GBP 80,000 - 100,000
13 days ago

Senior Consultant - AI-powered Insight

Verve

Greater Manchester
On-site
GBP 100,000 - 125,000
13 days ago

Demand Planning Lead Data Analyst (Supply, Demand & Inventory)

Corvus

Belfast
On-site
GBP 30,000 - 45,000
13 days ago

Sr Global Command Centre Analyst - Data Operations

CME Technology Support Services Ltd

Belfast
On-site
GBP 30,000 - 45,000
13 days ago

Lead Data Scientist

Kainos

Dartford
On-site
GBP 70,000 - 90,000
13 days ago

Senior Data Engineer

Kainos

Dartford
On-site
GBP 60,000 - 80,000
13 days ago

Data Consultant(s) - Data Engineer

Intuita - Vacancies

Newbury
Remote
GBP 40,000 - 68,000
13 days ago

Data Governance Analyst – Data Controls

Barclays UK

Northampton
Hybrid
GBP 80,000 - 100,000
13 days ago

Senior Data Scientist

Kainos

Dartford
On-site
GBP 60,000 - 80,000
13 days ago

Data Engineer (New role to Belfast)

Ocho

United Kingdom
Remote
GBP 50,000 - 70,000
13 days ago

Network Data Analyst

Candino CA

Colchester
On-site
GBP 30,000 - 40,000
13 days ago

Data Analyst

Arm

Lancashire
On-site
GBP 45,000 - 65,000
13 days ago

Data Analyst

Focus Resourcing

England
On-site
GBP 27,000 - 35,000
13 days ago

Metering Data Analyst

ZipRecruiter

Bury
On-site
GBP 25,000 - 28,000
13 days ago

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Data Scientist - Commodities
Qube Research & Technologies
London
On-site
GBP 60,000 - 80,000
Full time
13 days ago

Job summary

A global quantitative investment manager in London seeks a Data Scientist to collaborate with trading desks and data engineers. The role involves managing data pipelines, implementing transformations, and onboarding datasets. Candidates should possess strong Python skills, a postgraduate degree in a quantitative field, and 3+ years of relevant experience. This position offers a dynamic work environment focused on innovation and collaboration.

Benefits

Work-life balance initiatives
Diversity empowerment programs

Qualifications

  • 3+ years of experience as a Data Scientist or similar position.
  • Demonstrable interest in financial markets.
  • Experience with traditional and alternative financial datasets.

Responsibilities

  • Collaborate with trading desk to implement data pipelines.
  • Design code to extract, clean, and aggregate data.
  • Manage onboarding process of new datasets.

Skills

Experience in a buy-side quantitative finance role
Advanced programming experience in Python
Proficiency with Pandas and NumPy
Excellent communication skills
Ability to work in a high-performance environment

Education

Postgraduate degree in a quantitative discipline
Job description
Overview

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

  • Collaborating with the trading desk to design and implement their data pipelines
  • Collaborating with data engineers to onboard relevant datasets for the desk within QRT
  • Implementing data transformations to produce high added-value datasets used for investment decisions
  • Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
  • Managing the end-to-end process of onboarding new datasets
  • Proactively solving data related problems to minimise time to production
  • Innovating and experimenting with novel data extraction methods to enhance the firm's data onboarding toolkit
Your present skillset
  • 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
  • Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
  • Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
  • Demonstrable interest in financial markets and the application of data in its analysis and understanding
  • Experience working with both traditional and alternative financial datasets
  • Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
  • Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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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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