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 year’s 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 dan.butler@klickstarters.com. For further information please call me on 0203 343 6719. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. Key Skills: AWS SageMaker, Snowflake, Data, Engineering, Communication, Machine Learning

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