Junior Machine Learning Engineer

Junior Machine Learning EngineerJob Title:

Junior Machine Learning EngineerLocation:

LondonEmployment Type:

Full-time, PermanentSalary:

£35,000 – £60,000 per annumAbout the client:

Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below.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 annumHybrid working options, allowing you the flexibility to work both remotely and in-officePrivate Medical Insurance and Life AssuranceGenerous Company Pension Scheme25 days’ annual leave, with an additional day added each year (up to 35 days)Exclusive retail discountsThe 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 companyOptimise data pipelines and workflows, ensuring robust integration with AWS SageMaker and Snowflake platformsCollaborate closely with cross-functional teams to identify and implement actionable insights that align with business objectivesTest, iterate, and refine models, staying adaptable to evolving project requirementsContribute to the organisation’s machine learning and data strategy, enhancing model quality and predictive capabilitiesMachine Learning Engineer – Essential requirements:Minimum of 1 year’s experience in a similar Machine Learning Engineering roleKnowledge of AWS SageMaker and Snowflake, with hands-on experience in model deployment and data warehousingDegree qualified (BSc or MSc) in Mathematics, Data Science, Computer Science, or a related fieldMust 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 stakeholdersAbility to work iteratively, embracing challenges and quickly adapting to feedbackTo 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 and submit your application to our client in conjunction with this vacancy only.Key Skills: AWS SageMaker, Snowflake, Data, Engineering, Communication, Machine Learning

#J-18808-Ljbffr