Junior Machine Learning Engineer

Junior Machine Learning Engineer

• Job Title: Junior Machine Learning Engineer
• Location: London
• Employment Type: Full-time, Permanent
• Salary: £35,000 - £60,000 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 Junior Machine Learning Engineer.

The Benefits:

• Competitive salary: £35,000 - £60,000 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 Junior Machine Learning role:
As a Junior 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 Junior 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 1 years' experience in a similar Machine Learning Engineering role
• 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