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3,287

Data Scientist Junior jobs in United Kingdom

Data Engineer (Multiple Roles) - AI SaaS

Vortexa

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago
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Senior Machine Learning Engineer

Sony Playstation

City Of London
Hybrid
GBP 80,000 - 100,000
30+ days ago

Machine Learning Engineer

NLP PEOPLE

Bristol
On-site
GBP 60,000 - 80,000
30+ days ago

Big Data Engineer

Northrop Grumman

City Of London
On-site
GBP 77,000 - 116,000
30+ days ago

Data Engineer

Kwalee

Royal Leamington Spa
On-site
GBP 45,000 - 65,000
30+ days ago
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Senior Data Engineer — Scalable Pipelines & Lakehouse

Kwalee

Royal Leamington Spa
On-site
GBP 45,000 - 65,000
30+ days ago

Senior Software Engineer, Machine Learning Services (MLS)

UiPath

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

Machine Learning Engineer

NLP PEOPLE

Livingston
On-site
GBP 65,000 - 85,000
30+ days ago
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Senior Data Engineer

Storio group

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

Senior Consultant - AI Analyst, Data & Analytics, Belfast and Derry/Londonderry

Ernst & Young Advisory Services Sdn Bhd

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

AI Automation Specialist

Remote Recruitment

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

Data Analyst

James Fisher and Sons plc

Knutsford
Hybrid
GBP 40,000 - 60,000
30+ days ago

Commercial Analyst: Data Insights & Forecasting

BGIS

East Midlands
On-site
GBP 30,000 - 45,000
30+ days ago

Remote Data Analyst – Analyze from Anywhere – Flexible Digital Nomad Role

Mashreq Bank

United Kingdom
Hybrid
GBP 35,000 - 55,000
30+ days ago

Data Scientist

Searchability

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

Data Engineer

Consortia Group

United Kingdom
Remote
GBP 60,000 - 80,000
30+ days ago

Machine Learning Engineer

Wyatt Partners

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

Senior Data Scientist - AI Tooling

Intercom

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

Data Analyst

Madfish

United Kingdom
Remote
GBP 80,000 - 100,000
30+ days ago

Senior Data Analyst

Madfish

United Kingdom
Remote
GBP 50,000 - 70,000
30+ days ago

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA

Mistral AI

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

Machine Learning Engineer

LinuxRecruit

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

Senior Machine Learning Engineer

MoonPay

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

Senior Machine Learning Engineer, Behavior Planning & Prediction

NLP PEOPLE

City Of London
On-site
GBP 65,000 - 85,000
30+ days ago

Associate Data Scientist - Build production-ready ML & Insights

LEK

City Of London
Hybrid
GBP 80,000 - 100,000
30+ days ago

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Data Engineer (Multiple Roles) - AI SaaS
Vortexa
City Of London
On-site
GBP 60,000 - 80,000
Full time
30+ days ago

Job summary

A leading technology firm in London is looking for a skilled professional to design and build backend data processing pipelines. Ideal candidates will have strong software engineering skills and be proficient in both Java and Python. Experience with AWS, Kubernetes, and data lake systems is essential. Join a vibrant and diverse team in a supportive startup environment that values learning and collaboration.

Benefits

Private Health Insurance
Flexible working policy
Global Volunteering Policy

Qualifications

  • Experience in building and deploying data processing pipelines with terabytes of data daily.
  • Solid software engineering fundamentals.
  • Knowledgeable about big data storage formats with a focus on data ingestion.

Responsibilities

  • Design and build infrastructure for ML models.
  • Ensure 100% uptime and fault-tolerance of data pipelines.
  • Collaborate with engineers and analysts to bridge scientific and commercial efforts.

Skills

Building distributed scalable backend data processing pipelines
Fluency in Java and Python
Knowledge of data lake systems
Experience with AWS and Kubernetes (K8s)
Passion for coaching developers

Tools

Apache Kafka
Flink
Airflow
HDF5
Parquet
Job description

About Us: Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole.

The Role:

Processing thousands of rich data points per second from many and vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human‑machine data refinement process and presenting the result through a nimble low‑latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast‑moving startup influencing multi‑$m transactions requires.

The Data Production Team is responsible for all of Vortexa's data. It ranges from mixing raw satellite data from 600,000 vessels with rich but incomplete text data, to generating high‑value forecasts such as the vessel destination, cargo onboard, ship‑to‑ship transfer detection, dark vessels, congestion, future prices, etc.

The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting‑edge research to real‑world problems in a robust, long‑lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in‑house market and data analysts to ensure the quality of our predictions.

You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault‑tolerance of every component of the team's data pipelines.

Requirements
You Are:
  • Experienced in building and deploying distributed scalable backend data processing pipelines that can go through terabytes of data daily using AWS, K8s, and Airflow.
  • With solid software engineering fundamentals, fluent in both Java and Python (with Rust good to have).
  • Knowledgeable about data lake systems like Athena, and big data storage formats like Parquet, HDF5, ORC, with a focus on data ingestion.
  • Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided.
  • Excited about working in a start‑up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can‑do will‑do person, not afraid to push the boundaries of your job role.
  • Passionate about coaching developers, helping them improve their skills and grow their careers.
  • Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations.
Awesome If You:
  • Have experience with Apache Kafka and streaming frameworks, e.g., Flink.
  • Familiar with observability principles such as logging, monitoring, and tracing.
  • Have experience with web scraping technologies and information extraction.
Benefits
  • A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge.
  • A team of motivated characters and top minds striving to be the best at what we do at all times.
  • Constantly learning and exploring new tools and technologies.
  • Acting as company owners (all Vortexa staff have equity options)- in a business‑savvy and responsible way.
  • Motivated by being collaborative, working and achieving together.
  • A flexible working policy- accommodating both remote & home working, with regular staff events.
  • Private Health Insurance offered via Vitality to help you look after your physical health.
  • Global Volunteering Policy to help you 'do good' and feel better.
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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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