At a Glance
- Tasks: Design and build data pipelines, transform ML prototypes into production systems.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, generous holidays, wellness facilities.
- Other info: Clear career progression and opportunities to work with cutting-edge technology.
- Why this job: Make a real impact on millions by shaping AI strategies and user experiences.
- Qualifications: Degree in relevant field, strong Python and SQL skills, cloud platform experience.
The predicted salary is between 63000 - 77000 £ per year.
We are currently looking for a Machine Learning Engineer to join our client’s data team.
This is a hands‑on role where you’ll design and build robust data pipelines, transform ML prototypes into production‑ready systems, and champion MLOps best practices across the business.
As a Machine Learning Engineer, you’ll play a crucial role in ensuring our clients’ data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day.
Opportunity
This is a unique chance to combine data engineering with machine learning in a high‑impact environment.
You’ll work closely with analysts, data engineers and stakeholders, ensuring models are reliable, scalable, and production‑ready.
Unlike many roles in the tech sector, this Machine Learning Engineer role gives you the visibility of seeing your work applied at scale, powering decision‑making and user experiences for a vast audience.
Day‑to‑day
Your day‑to‑day will include
- Building and maintaining end‑to‑end data pipelines and feature engineering workflows.
- Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML.
- Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance.
- Supporting the data warehouse and ensuring data quality, governance, and accessibility.
- Collaborating with cross‑functional teams to deliver trusted datasets and insights.
Benefits
- Competitive salary with annual reviews.
- Hybrid working model offering flexibility.
- Generous holiday allowance that increases with service.
- Onsite wellness facilities, subsidised meals, and gym access.
- Access to wellbeing support services and employee assistance programmes.
- Clear career progression and opportunities to work with cutting‑edge tech.
Skills and Experience
- Degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong knowledge of Python and SQL.
- Hands‑on experience with cloud platforms (GCP or Azure) and Databricks.
- Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML.
- Nice‑to‑have: Experience with Spark, CI/CD pipelines, and orchestration tools.
- Nice‑to‑have: Knowledge of Elasticsearch or digital/web analytics platforms.
- Nice‑to‑have: Understanding of the full machine learning lifecycle, from experimentation to evaluation.
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Machine Learning Engineer employer: Data Science Festival
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.
