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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 [email protected]. For further information please call me on 0203 343 6719. By applying for this role, you give express consent for us to process andamp; submit your application to our client in conjunction with this vacancy only.
Key Skills: AWS SageMaker, Snowflake, Data, Engineering, Communication, Machine Learning