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Machine Learning Engineer

Searchability
Posted 24 days ago, valid for 6 days
Location

London, Greater London EC1R 0WX

Salary

£85,000 - £100,000 per annum

Contract type

Full Time

Retirement Plan
Life Insurance

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job title is Machine Learning Engineer, located in London, with a full-time, permanent employment type.
  • The salary range for this position is £85,000 - £100,000 per annum.
  • Candidates must have a minimum of 5 years' experience in a similar Machine Learning Engineering role.
  • The role involves designing and deploying scalable machine learning models and requires strong knowledge of AWS SageMaker and Snowflake.
  • Applicants should be degree qualified in a relevant field and must be UK citizens or have the appropriate residency status.

Machine Learning Engineer

  • Job Title: Machine Learning Engineer
  • Location: London
  • Employment Type: Full-time, Permanent
  • Salary: £85,000 - £100,000 per annum

About the client:We are thrilled to partner with an award-winning telecommunications provider on their mission to become the UK's most desirable telecoms provider. With recent acquisitions fuelling rapid growth, this leading-edge organisation is looking to strengthen their London-based team with the addition of a passionate and skilled Machine Learning Engineer.

The Benefits:

  • Competitive salary: £85,000 - £100,000 per annum
  • Hybrid working options, allowing you the flexibility to work both remotely and in-office
  • Private Medical Insurance and Life Assurance
  • Generous Company Pension Scheme
  • 25 days' annual leave, with an additional day added each year (up to 35 days)
  • Exclusive retail discounts

The Data Architect role:As a Machine Learning Engineer, you'll be part of a dynamic team tasked with delivering meaningful, data-driven insights and solutions that will shape the future of the UK's telecommunications landscape. Your expertise will drive impactful changes, working directly on high-visibility projects that require a collaborative approach. Our client values flexibility and an open-minded approach, and seeks someone eager to tackle challenges and embrace imperfection along the way-ideal for someone who values real-world solutions over theoretical perfection.

This is an excellent opportunity for a seasoned Machine Learning Engineer to apply their technical acumen with SageMaker and Snowflake while contributing to a high-performing team with a culture of shared success.

Key Responsibilities:

  • Design, build, and deploy scalable machine learning models, supporting key projects across the company
  • Optimise data pipelines and workflows, ensuring robust integration with AWS SageMaker and Snowflake platforms
  • Collaborate closely with cross-functional teams to identify and implement actionable insights that align with business objectives
  • Test, iterate, and refine models, staying adaptable to evolving project requirements
  • Contribute to the organisation's machine learning and data strategy, enhancing model quality and predictive capabilities

Machine Learning Engineer - Essential requirements:

  • Minimum of 5 years' experience in a similar Machine Learning Engineering role
  • Strong knowledge of AWS SageMaker and Snowflake, with hands-on experience in model deployment and data warehousing
  • Degree qualified (BSc or MSc) in Mathematics, Data Science, Computer Science, or a related field
  • Must be a UK Citizen (British, EU Settled, or with ILR status)
  • Proven ability to collaborate effectively within a team and communicate complex technical ideas to non-technical stakeholders
  • Ability to work iteratively, embracing challenges and quickly adapting to feedback

To be considered…Please apply by clicking online or emailing me directly at . For further information please call me on . By applying for this role, you give express consent for us to process & submit your application to our client in conjunction with this vacancy only.

Key Skills: AWS SageMaker, Snowflake, Data, Engineering, Communication, Machine Learning

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.