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1,104

Data Engineer jobs in United States

Data Scientist Technology (Product, Engineering, Design) London

RedCloud Technology, Ltd.

London
On-site
GBP 60,000 - 85,000
30+ days ago
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Data Scientist - Acquisition Tech Team

Methodfi

London
Hybrid
GBP 60,000 - 90,000
30+ days ago

Data Scientist - Acquisition Tech Team

Methodfi

London
Hybrid
GBP 60,000 - 90,000
30+ days ago

Senior Palantir Data Scientist

Seargin Ltd

Maidenhead
On-site
GBP 50,000 - 70,000
30+ days ago

Data Scientist – CLV & Next Best Action

Sony

London
Hybrid
GBP 55,000 - 75,000
30+ days ago
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Energy Data Scientist - Optimisation Specialist

Lane Clark & Peacock LLP.

United Kingdom
Hybrid
GBP 45,000 - 65,000
30+ days ago

Data Analyst – Information Tech Consultants Ltd

School Result

London
On-site
GBP 35,000 - 40,000
30+ days ago

Data Analyst – Turcan Connell (Edinburgh, Scotland)

School Result

City of Edinburgh
Hybrid
GBP 38,000 - 50,000
30+ days ago
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Junior Data Analyst – CTI Digital (Manchester, UK)

School Result

Manchester
Hybrid
GBP 30,000 - 55,000
30+ days ago

Senior Data Analyst - THG Nutrition

The Hut Group

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

Machine Learning Engineer

Voice AI Space

London
Hybrid
GBP 60,000 - 90,000
30+ days ago

Enterprise Data Modeller

Brit Ltd

London
On-site
GBP 50,000 - 70,000
30+ days ago

Senior Machine Learning Engineer

ON.com

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

Senior Machine Learning Engineer London, United Kingdom

Mesh-AI Limited

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

Machine Learning Engineer London, United Kingdom

Mesh-AI Limited

London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Programme Data Analyst

Etio

United Kingdom
Remote
GBP 40,000 - 55,000
30+ days ago

Tech Lead Machine Learning Engineer

Kaluza Limited

Bristol
Hybrid
GBP 80,000 - 100,000
30+ days ago

Data Scientist London, United Kingdom

Mesh-AI Limited

London
Hybrid
GBP 100,000 - 125,000
30+ days ago

Data Scientist — AI-Driven Multi-Physics Simulation

Mesh-AI Limited

London
Hybrid
GBP 100,000 - 125,000
30+ days ago

Senior Engineer, Machine Learning United Kingdom, London

Applied Intuition Inc.

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

Data Scientist

Nesta

London
Hybrid
GBP 49,000 - 66,000
30+ days ago

Senior Machine Learning Engineer

Methodfi

United Kingdom
Hybrid
GBP 50,000 - 75,000
30+ days ago

Data Scientist

Methodfi

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

Claims Data Scientist

American Modern

London
On-site
GBP 40,000 - 60,000
30+ days ago

Sports Biomechanics Data Scientist

Health Innovation Research Alliance Northern Ireland

Belfast
On-site
GBP 35,000 - 50,000
30+ days ago

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Software Engineer jobs
Data Scientist Technology (Product, Engineering, Design) · London ·
RedCloud Technology, Ltd.
London
On-site
GBP 60,000 - 85,000
Full time
30+ days ago

Job summary

A leading eCommerce solutions provider in London is seeking a Machine Learning Engineer to design and develop ML systems that enhance business processes. The ideal candidate will have a strong proficiency in Python and a deep understanding of machine learning concepts. Candidates with a passion for AI and software engineering are highly encouraged to apply. This role offers extensive benefits, including 25 days annual leave and enhanced company pension.

Benefits

25 days annual leave
Enhanced company pension
Healthcare cashplan
Private healthcare
Life insurance
Access to discounts via Happl
Stock / equity options

Qualifications

  • 3+ years of experience in software engineering.
  • Deep understanding of ML concepts and AI model valuation.
  • Experience with cloud-based tools for production use.

Responsibilities

  • Design, develop, and deploy ML systems.
  • Leverage cloud platforms to build and scale ML models.
  • Collaborate with cross-functional teams to integrate AI solutions.

Skills

Proficiency in Python
Machine Learning concepts
NLP techniques
Strong problem-solving skills
Excellent communication skills
Interest in AI and software engineering

Tools

NumPy
Pandas
TensorFlow
PyTorch
AWS SageMaker
SQL
Job description
Overview

About RedCloud

The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.

RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.

Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We’re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.

Responsibilities
  • Design, develop, and deploy ML systems to solve real world problems and enhance business processes.
  • Leverage cloud platforms to build, train, and scale ML models.
  • Develop and implement state-of-the-art algorithms, including Computer Vision techniques, LLMs and other GenAI models.
  • Handle and analyze large amounts of data to train and validate machine learning and deep learning models.
  • Ensure AI solutions are scalable and reliable through continuous iteration and optimization.
  • Collaborate closely with cross-functional teams, including data scientists, data engineers, and software developers, to integrate AI solutions into existing systems.
  • Work with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products aligned with broader business goals.
  • Keep up with the latest advancements in AI, research new techniques and implement them to enhance the performance and accuracy of solutions.
Experience we like to see
  • 3+ years of experience in software engineering, with strong proficiency in Python.
  • A deep understanding of machine learning concepts, NLP techniques, and AI model valuation metrics.
  • Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others.
  • Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI).
  • Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL.
  • Knowledge of Large Language Models, retrieval-augmented generation and generative AI is a nice to have.
Attributes we like to see
  • Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks.
  • An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques.
  • Excellent communication skills, with a collaborative approach to working within diverse teams.
  • A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.

Even if you don’t meet every requirement, we still encourage you to apply. Your unique experiences and perspectives might be just what we’re looking for.

Benefits

Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company who are growing massively, we encourage ambition and creativity.

Plus, you will get:

  • 25 Days Annual leave, increasing to 26 days after 12 months in the business
  • Enhanced CompanyPension (Matched up to 5% & Salary Sacrifice)
  • Healthcare Cashplan with Medicash
  • Private Healthcare with Aviva
  • Life Insurance with AIG
  • Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.
  • Stock / Equity

Check out the resources below to learn more about our plans for growth and our mission.

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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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