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2,845

Machine Learning Engineer jobs in United Kingdom

Senior Data Analyst

Elliptic

Greater London
Hybrid
GBP 45,000 - 75,000
9 days ago
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Cross-Asset Data Scientist | ML/NLP in Front Office

Vertus Partners

Greater London
On-site
GBP 150,000 - 160,000
9 days ago

Data Scientist - Cross Asset - Quant Trading Firm

Vertus Partners

Greater London
On-site
GBP 150,000 - 160,000
9 days ago

Senior Data Scientist

Department for Work and Pensions

Sheffield
Hybrid
GBP 57,000 - 76,000
9 days ago

Data & AI Security Specialist — London (Security Clearance)

WeAreTechWomen

Greater London
On-site
GBP 80,000 - 100,000
9 days ago
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Public Safety Data Analyst & Services Advisor

Mark43, Inc.

Manchester
On-site
GBP 40,000 - 55,000
9 days ago

ICT Analyst- Digital Service Desk

Kent and Medway Mental Health NHS Trust

Ashford
On-site
GBP 25,000 - 30,000
9 days ago

Junior B2C Campaign Data Analyst - 6-Month Contract

Project People

Reading
On-site
GBP 25,000 - 35,000
9 days ago
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Entry-Level Data Analyst: Fast-Track Training & Placement

Data Jobs at ITOL Recruit

Nottingham
On-site
GBP 80,000 - 100,000
9 days ago

Customer Campaign Data Analyst - B2C

Project People

Reading
On-site
GBP 25,000 - 35,000
9 days ago

Data Analyst Placement Programme. Job in Nottingham Education & Training Jobs

Data Jobs at ITOL Recruit

Nottingham
On-site
GBP 80,000 - 100,000
9 days ago

Carbon Data Analyst — Hybrid, Impact & Carbon Reporting

Planet Mark

Greater London
Hybrid
GBP 60,000 - 80,000
9 days ago

Junior Carbon Data Analyst

Planet Mark

Greater London
Hybrid
GBP 60,000 - 80,000
9 days ago

Data Analyst – Retail, Consumer Goods & Hospitality

Cognizant

Leeds
On-site
GBP 45,000 - 60,000
9 days ago

Senior Data Analyst - Hybrid | Insightful Analytics

Zurich 56 Company Ltd

Greater London
Hybrid
GBP 50,000 - 60,000
9 days ago

Senior Data Analyst

Zurich 56 Company Ltd

Greater London
Hybrid
GBP 50,000 - 60,000
9 days ago

Global Finance & HR Data Modeller (Hybrid)

Cathcart Associates

Watford
Hybrid
GBP 60,000 - 80,000
9 days ago

Data Modeller in Watford)

Cathcart Associates

Watford
Hybrid
GBP 60,000 - 80,000
9 days ago

(Re)Insurance Data Analyst

Gallagher

Greater London
Hybrid
GBP 60,000 - 80,000
9 days ago

Hybrid Carbon Data Analyst: Drive Sustainability Insights

Cognibox

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

Junior Carbon Data Analyst

Cognibox

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

Global Data Modeller: Finance & HR (Hybrid, Outside IR35)

Cathcart Associates Group Ltd

Watford
Hybrid
GBP 60,000 - 80,000
9 days ago

Data Modeller

Cathcart Associates Group Ltd

Watford
Hybrid
GBP 60,000 - 80,000
9 days ago

Supply Chain Systems IS Analyst: Improve, Secure & Support

Booker

Little Irchester
On-site
GBP 30,000 - 40,000
9 days ago

Data Engineer

Formula One

Biggin Hill
On-site
GBP 60,000 - 80,000
9 days ago

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Senior Data Analyst
Elliptic
Greater London
Hybrid
GBP 45,000 - 75,000
Full time
9 days ago

Job summary

A leading technology firm in the United Kingdom is seeking a motivated individual to join their team. This role focuses on transforming datasets into clear insights addressing crypto ecosystems. The right candidate will possess a STEM degree, strong analytical skills, and experience in SQL and Python. Key responsibilities include research, analysis, and collaboration across teams, facilitating informed decision-making. This position offers hybrid working arrangements, competitive benefits, and opportunities for professional development.

Benefits

Hybrid working
Remote working budget
$1,000 Learning & Development budget
25 days annual leave
Private health insurance

Qualifications

  • Experience handling end-to-end data projects.
  • Comfortable querying data with SQL and Python.
  • Experience conducting qualitative and quantitative research.

Responsibilities

  • Lead mixed-method research on crypto ecosystems.
  • Design visuals and narratives for various materials.
  • Support Product with evidence on opportunities and metrics.

Skills

Curiosity and scepticism
Data analysis
SQL
Python
Collaboration
Understanding of blockchain ecosystems

Education

STEM degree

Tools

Databricks
PySpark
Job description
Overview

Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? Are you looking for a values-led company, which cares about the growth of its employees?

The impact you will have: Join Intel to turn Elliptic’s datasets into decisions, stories, and measurable outcomes. You’ll investigate complex patterns in digital assets, build reproducible analyses, and craft clear narratives and visuals that inform Product and Marketing, enable Sales and Policy conversations, and raise Elliptic’s voice in the market. You own the journey from raw data to a crisp story.

Responsibilities
  • Lead mixed-method research on crypto ecosystems and behaviours, combining quantitative analysis with strong domain context.
  • Design clear, accurate visuals and written narratives for reports, blogs, briefings, talks, and customer materials.
  • Build analysis assets and tools that Marketing and Communications can use across campaigns and channels.
  • Be a key part of our Intelligence organisation to validate findings and ensure methodological rigour and relevance.
  • Support Product with evidence on problems, opportunities, and outcome metrics grounded in Intel data.
  • Provide Marketing and Revenue with concise analyses and visuals that clarify trends, value, and risk for prospects and customers.
  • Maintain the highest standards for data quality, documentation, and reproducibility.
  • Create notebooks, datasets, and dashboards that make recurring analyses faster and easier to reuse.
Requirements / Qualifications
  • Are highly curious and sceptical
  • Explain complex work with clarity and confidence, adapting depth to the audience
  • Care about visual clarity as much as analytical correctness
  • Are rigorous, curious, and sceptical — you pursue evidence to ground truth
  • Enjoy collaborating across Data, Marketing, Revenue and Product
  • Are very interested in Cryptocurrencies.
  • Has a STEM degree.
  • Has experience handling end-to-end data projects, from data extraction to creating narratives passing by creating compelling dashboards
  • Is comfortable querying data with SQL and Python
  • Experience conducting qualitative and quantitative research in a complex domain, ideally digital assets or adjacent fields
  • Comfort moving from ambiguous questions to structured plans and decision-ready outputs
  • Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services.
Bonus Experience
  • Databricks and PySpark
  • Strong academic background
  • Building and maintaining data pipelines
  • Capture data requirements and build ad-hoc systems
  • Public-facing experience: bylined reports, webinars, conference speaking, or media commentary
  • Applied and advanced professional experience using data science and data exploitation techniques to analyse crime in cryptocurrency
Job Benefits
  • Hybrid working and the option to work from almost anywhere for up to 90 days per year
  • £500 Remote working budget to set up your home office space
Learning & Development
  • $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development
Vacation / Leave
  • Holidays: 25 days of annual leave + bank holidays
  • An extra day for your birthday
  • Enhanced parental leave: eligible employees receive 16 weeks fully-paid leave, with provisions for birth or adoption
Benefits
  • Private Health Insurance - Vitality
  • Full access to Spill Mental Health Support
  • Life Assurance: 4 times salary to beneficiaries
  • £100 Crypto for you!
  • Cycle to Work Scheme
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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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