Senior Machine Learning Engineer
London (Hybrid)
£70,000 - £85,000 per annum (+Bonus and Bens)
83DATA are partnered with a dynamic, fast-growing tech company at the forefront of AI and machine learning innovation. Their mission is to leverage cutting-edge machine learning algorithms to drive real-world solutions across various industries, from healthcare to finance. We are looking for a talented Machine Learning Engineer to join the growing team and make a real impact on their AI product offerings.
As a Mid-Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that scale across large datasets. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate advanced ML techniques into our products. This is a hybrid role with a mix of remote work and on-site presence at our London office, offers a competitive salary and a great bonus!
Key Responsibilities:
- Build, train, and optimize scalable high level ML models.
- Design and implement data pipelines to ensure smooth deployment and performance of models.
- Experiment with and evaluate new ML algorithms and technologies.
- Monitor model performance, identifying and resolving bottlenecks and issues.
- Mentor junior engineers and contribute to the growth of the ML team.
What We’re Looking For:
- Proven experience (3-5 years) in machine learning engineering, with a focus on model building and deployment.
- Someone excited and passionate about AI
- Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models in a cloud environment.
- Familiarity with data pipeline tools (e.g., Airflow, Spark) and version control systems like Git.
Please apply or email me on kiera.rance@83data.com!
