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Senior Machine Learning Engineer (London) - £85,000

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London

On-site

GBP 85,000

Full time

Yesterday
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Job summary

Join a forward-thinking consulting firm as a Senior Machine Learning Engineer in London. This role offers the opportunity to innovate and build cutting-edge machine learning solutions while collaborating with a dynamic team of experts. You will be at the forefront of technology, working with large-scale datasets and deploying models in production environments. The company fosters professional growth and is known for pushing the boundaries of technology. If you are passionate about machine learning and eager to make an impact, this is the perfect opportunity for you.

Qualifications

  • Experience designing, developing, and deploying machine learning models.
  • Strong programming skills in Python and experience with large-scale datasets.

Responsibilities

  • Innovate and build machine learning solutions for clients.
  • Act as a subject matter expert and advisor in machine learning.

Skills

Python
Machine Learning
SQL
NoSQL
MLOps
Cloud Platforms (AWS, GCP, Azure)
Problem Solving

Education

Degree in Computer Science
Degree in Engineering
Degree in Mathematics
Degree in Statistics

Tools

Airflow
MLFlow

Job description

Job Description

Senior Machine Learning Engineer (London) - £85,000

Our Consulting client is looking for a Senior Machine Learning Engineer to join and be part of their continued expansion across the UK.

As the Senior Machine Learning Engineer, you innovate, build, train and communicate with a team made up of consultants, data scientists, and engineers to identify client needs and define innovative solutions.

Working with bleeding-edge technologies and utilising the latest tool kits, you will be responsible for delivering optimal technical solutions across a range of projects. This will be a client facing position, in which you will not only be delivering, but acting as a SME and advisor in this space.

This organisation is always pushing technology boundaries and is a fantastic place to grow professionally. They have a 3-stage interview process and we are looking to progress this hire swiftly with a start-date in June.

Essential skills:

  • Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python.
  • Experience working with large-scale datasets and database systems (SQL and NoSQL).
  • Understanding of software development lifecycle and agile methodologies.
  • Proven experience designing, developing, and deploying machine learning models.
  • Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc)
  • Experience deploying machine learning models to production environments.
  • Knowledge of MLOps practices and tools for model monitoring and maintenance.
  • Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
  • Demonstrated ability to identify, analyse, and solve complex technical problems in innovative ways.

Reach out to Method Resourcing for information about the company and client.

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