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1,418

Data Scientist Junior jobs in United Kingdom

Machine Learning Engineer

DEVI TECHNOLOGIES LIMITED

Birmingham
On-site
GBP 50,000 - 70,000
30+ days ago
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Senior Data Engineer

Scott Logic

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

Data Engineer

Jefferson Frank

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

Sr. AI Data Engineer (UK Remote)

Turnitin

Birmingham
Remote
GBP 60,000 - 80,000
30+ days ago

Sr. AI Data Engineer (UK Remote)

Turnitin

Manchester
Remote
GBP 70,000 - 90,000
30+ days ago
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Lead Data Scientist

Kainos

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

Data Engineer

Lloyds Bank plc

Leeds
On-site
GBP 47,000 - 54,000
30+ days ago

Lead Data Scientist

Kainos

Belfast
On-site
GBP 70,000 - 90,000
30+ days ago
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Sr. AI Data Engineer (UK Remote)

Turnitin

Leeds
Remote
GBP 70,000 - 90,000
30+ days ago

Data Engineer

JR United Kingdom

England
On-site
GBP 55,000 - 75,000
30+ days ago

SC Cleared Data Engineer

Axiom Software Solutions Limited

London
Hybrid
GBP 45,000 - 60,000
30+ days ago

Data Analyst/Engineer

Axiom Software Solutions Limited

United Kingdom
Remote
GBP 70,000 - 90,000
30+ days ago

Senior Data Analyst

JR United Kingdom

Slough
On-site
GBP 55,000 - 65,000
30+ days ago

Data Analyst

Transmissiondynamics

Cramlington
On-site
GBP 25,000 - 40,000
30+ days ago

Lead/ VP AWS Data Engineer

Jefferson Frank

City Of London
On-site
GBP 115,000 - 120,000
30+ days ago

Senior AWS Data Engineer - London - 125,000

Jefferson Frank

City Of London
On-site
GBP 106,000 - 125,000
30+ days ago

Data Scientist

esure Group

Reigate
Hybrid
GBP 45,000 - 60,000
30+ days ago

Data Engineer

Tenth Revolution Group

England
On-site
GBP 60,000 - 70,000
30+ days ago

Data Engineer II - Databricks and Python

J.P. MORGAN

Scotland
On-site
GBP 60,000 - 90,000
30+ days ago

Machine Learning Engineer, LLM Training & Customization (Remote)

NLP PEOPLE

Nottingham
Remote
GBP 70,000 - 90,000
30+ days ago

Data Engineer

Jonathan Lee Recruitment

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

Data Engineer

Genius Money

Reading
On-site
GBP 30,000 - 45,000
30+ days ago

Contract Data Scientist - London - 700/pd

Jefferson Frank

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

1st Team Data Analyst

Chelsea Football Club

Cobham
On-site
GBP 30,000 - 45,000
30+ days ago

Staff Data Scientist, Associate Director (Manchester)

Fitch Group

Manchester
Hybrid
GBP 75,000 - 95,000
30+ days ago

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Machine Learning Engineer
DEVI TECHNOLOGIES LIMITED
Birmingham
On-site
GBP 50,000 - 70,000
Full time
30+ days ago

Job summary

A tech solutions company in Birmingham seeks a Machine Learning Engineer to design, develop, and implement machine learning models for various applications. Responsibilities include cleaning and transforming datasets, deploying models, and collaborating closely with teams. Knowledge of tools like TensorFlow, Docker, and cloud platforms is essential. This position offers opportunities to stay updated with the latest AI techniques and ensure model accuracy and relevance.

Responsibilities

  • Design, develop, and implement machine learning models for various applications.
  • Clean, preprocess, and transform large datasets from diverse sources.
  • Choose appropriate algorithms based on business goals and optimize models.
  • Deploy models into production environments and integrate with existing systems.
  • Monitor model performance post-deployment and update models as needed.
  • Collaborate with data scientists, software engineers, and stakeholders.

Skills

Machine learning
Data preprocessing
Algorithm optimization
API integration
Model performance monitoring
Team collaboration
Documentation

Tools

TensorFlow
PyTorch
Scikit-learn
XGBoost
Docker
Kubernetes
AWS
GCP
Azure
Job description
Responsibilities
  • Design, develop, and implement machine learning models for various applications such as classification, regression, clustering, and recommendation systems.
  • Clean, preprocess, and transform large datasets; work with structured and unstructured data from diverse sources.
  • Choose appropriate algorithms based on business goals, and optimize models for performance, scalability, and accuracy.
  • Deploy models into production environments and integrate with existing systems via APIs or pipelines using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
  • Monitor model performance post-deployment and retrain/update models as needed to maintain accuracy and relevance.
  • Work closely with data scientists, software engineers, product managers, and stakeholders to define project goals and deliverables.
  • Stay up to date with the latest ML/AI research and incorporate cutting-edge techniques and frameworks when applicable.
  • Utilize ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, XGBoost, and others for model building and experimentation.
  • Ensure machine learning solutions are scalable and optimized for performance on large datasets or real-time systems.
  • Maintain clear documentation of model development, data workflows, and experiments for reproducibility and future reference.
  • Adhere to data privacy laws, model explainability standards, and ethical AI practices in all stages of ML development.
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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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