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Machine Learning Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Full time
Salary: 
50 - 65K yearly
Work from: 
United Kingdom

Offer summary

Qualifications:

Bachelor's degree in computer science, mathematics, or related field, At least three years experience in developing and deploying ML models, Technical proficiency in Python, Pandas, GPU efficiency adaptation.

Key responsabilities:

  • Develop, train, and deploy cutting-edge ML models
  • Optimize data enrichment pipelines and establish data management processes
  • Collaborate with data scientists to troubleshoot and solve complex issues
  • Stay updated with latest AI/ML advancements and integrate into processes
Adecco logo
Adecco Human Resources, Staffing & Recruiting XLarge https://www.adecco.com/
10001 Employees
About Adecco
Perfect placements. Speedy staffing. Tenacious testing. Who’s Adecco, we hear you ask? Only the top provider of first-class HR solutions. Our consultants work with some of the best, and most exciting, companies all over the world. We equip our clients with priceless industry insight and put everything we’ve got into training and mentoring our candidates. We’re here to match talented people with the job opportunities and employers they’re looking for. On any given day we connect over 700,000 people with fulfilling opportunities that make the most of their skills now and enable them to develop new expertise for the future.
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Job description

Logo Jobgether

Your missions

Machine Learning Engineer - Job Specification

A leading player in the cyber insurance sector is on the hunt for a Machine Learning Engineer to bolster their team. This organization prides itself on crafting a highly functional, sustainable, and scalable cyber insurance ecosystem alongside their esteemed clients and partners.

Salary: £50k-£65k dependant on experience

Key Responsibilities

  • Develop and Deploy Models: Take the lead in creating, training, and deploying cutting-edge machine learning models.
  • Optimize Pipelines: Enhance the efficiency and effectiveness of data enrichment pipelines through continuous evaluation and refinement.
  • Data Management: Establish robust data cleaning and ingestion processes for preparing datasets for machine learning applications.
  • Collaborative Problem-Solving: Engage with data scientists to troubleshoot and solve complex issues, ensuring seamless operations.
  • Stay Ahead of the Curve: Stay updated with the latest AI/ML advancements and integrate these into our processes to maintain a competitive edge.

Skills And Qualifications

  • Educational Background: Bachelor's degree in computer science, mathematics, or a related field.
  • Professional Experience: At least three years in a similar role with a track record of developing and deploying machine learning models.
  • Technical Proficiency: Expertise in Python and Pandas, with experience in adapting CPU-based models for GPU efficiency.
  • Analytical Skills: Strong analytical abilities, especially in resolving data quality issues and enhancing model performance.
  • Creative Solutions: A history of innovative problem-solving and independent solution development.
  • Big Data Technologies: Knowledge of Spark or PySpark for handling large-scale data processing.
  • ML Expertise: A thorough understanding of machine learning techniques and best practices in model development.

Desirable Qualifications

  • Production Experience: Experience in deploying and maintaining machine learning models in production settings.
  • Advanced Techniques: Familiarity with gradient boosting and massive text embedding models.
  • Software Engineering Knowledge: Proficiency in modern software engineering practices, including coding, testing, and deployment.
  • Tool Proficiency: Experience with Databricks, Git, CI/CD pipelines, and software testing methodologies.

The ideal candidate will possess a blend of technical prowess and a forward-thinking approach to contribute to the company's mission of revolutionizing the cyber insurance landscape. If you are eager to tackle challenges at the intersection of AI and cybersecurity, we invite you to apply for this pivotal role and I look forward to receiving your profile.

Required profile

Experience

Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

PythonPandasSparkPySparkClassificationDatabricksGitCI/CD

Soft Skills

  • Forward Thinking
  • Collaborative
  • Creativity
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