Machine Learning Engineer

Atlantic Talent Recruitment; Greater London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A dynamic tech start-up based in London is seeking a talented Machine Learning Engineer to join their data science team. This hybrid role requires 1-2 days in the office each week and involves collecting, preprocessing, and analyzing datasets to develop machine learning models. Ideal candidates have at least 5 years of experience, a bachelor's and MSc in related fields, and strong programming skills, particularly in Python. The company offers a comprehensive benefits package including flexible hours and professional development opportunities.

Benefits

Flexible working hours

27 days of annual leave plus public holidays

Up to 20% bonus per annum

Private health care after probation

Professional development opportunities

Necessary technology for home working

Weekly team outings

Daily free breakfast and snacks on site

Qualifications

• 5+ years of experience in Data Science with a focus on machine learning.
• Strong programming skills in Python.
• Experience with software development best practices.

Responsibilities

• Collect, preprocess, and analyze large datasets.
• Conduct research for new techniques in machine translation.
• Build and manage machine learning models and algorithms.

Skills

Python programming

Machine learning frameworks (TensorFlow, PyTorch)

Data analysis

Problem-solving

Education

Bachelor's degree in Computer Science, Data Science, Machine Learning

MSc in Computer Science, Data Science, Machine Learning

Tools

AWS

Job description

Atlantic Talent is proud to be partnered with adynamic tech start-upbased in London. Our clientoperates a cutting-edgeneural machine translation platform, whichaims to break down linguistic barriers and facilitate seamless communication across the world. They arecurrently in the process of expanding operations and scaling their platform,so areon the search for a talented Machine Learning Engineer to join theirdata science team.

Role Responsibilities:

• This is a hybrid role, and will require 1-2 days in the London office each week.
• Collect, preprocess, and analyse large datasets to extract valuable insights and features.
• Conduct research to explore new techniques and methodologies in machine translation.
• Utilise your skills in Python to help build and managestate-of-the-art machine learning models and algorithms.
• Effectively communicate andcollaborate withdata scientists, analysts, engineers and software developers to helpdefine project requirements and deliver solutions that meet business objectives.
• Stay informed about the latest advancements in machine learning, natural language processing, and related fields.

Essential Skills and Qualifications:

• A minimum of 5 years' experience working in a Data Science environment, ideally with a focus on building and deploying machine learning solutions.
• Bachelor's and MSc in Computer Science, Data Science, Machine Learning, or a related field.
• Strong programming skills in Python, with experience in software development best practices.
• Proficiency in machine learning frameworks including TensorFlow andPyTorch.
  
• Familiarity with cloud computing platforms, includingAWS, and distributed computing environments.
• Excellent problem-solving abilities and a passion for tackling complex technical challenges.
• Prior experience in a start-up environment is desirable but not essential.

As the successful candidate, you will enjoy a comprehensive benefits package designed to support your professional and personal growth, including:

• Flexible working hours and a hybrid working environment.
• 27 days of annual leave plus public holidays.
• Up to 20% bonus per annum(based on company and personal performance)
• Private health care upon successful completion of probation.
• Professional development and training opportunities.
• The necessary technology, including a laptop and additional equipment, to create an optimalhome working environment.
• Weekly team outings and daily free breakfast and snacks on site.