Senior Machine Learning Engineer

Senior Machine Learning Engineer

Job description

Senior Machine Learning Engineer

London (Hybrid)

£70,000 - £80,000 per annum (+20% 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.

Key Responsibilities :

- Build, train, and optimize scalable machine learning models.
- Collaborate with data scientists and software engineers to integrate models into production systems.
- 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.
- Maintain and update documentation for machine learning processes and projects.
- 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.






- 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.
- Solid understanding of algorithms, data structures, and software engineering best practices.
- Familiarity with data pipeline tools (e.g., Airflow, Spark) and version control systems like Git.
- Strong problem-solving skills and the ability to work both independently and in a collaborative environment.
- Excellent communication skills and a proactive approach to work.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.

▶️ Senior Machine Learning Engineer
🖊️ 83zero
📍 London