Machine Learning Engineer

6 days ago

London Area, United Kingdom Eligo Recruitment Full time
Job Title: Machine Learning Engineer

Company: Stealth Mode Startup

Location: London – office based

Salary: £100-£300k plus equity

About Us:

Eligo Recruitment is proud to partner with an innovative AI startup on a mission to transform how businesses harness the power of artificial intelligence. As a Machine Learning Engineer, you will be part of a core team that will shape the direction and success of our products.

Job Description:

We are seeking a highly skilled and motivated Machine Learning Engineer with a strong focus on developing and optimising training pipelines. This is a unique opportunity to join an early-stage AI company where your expertise will directly impact the development of cutting-edge AI technologies.

Key Responsibilities:

  • Collaborate with cross-functional teams to define and prioritise machine learning projects.
  • Design, implement, and optimise machine learning models with a strong focus on building robust and scalable training pipelines.
  • Develop data preprocessing workflows, feature engineering methods, and model training processes.
  • Implement automation in model training, validation, and deployment processes to enhance efficiency.
  • Conduct experiments to evaluate model performance and iterate based on findings.
  • Stay current with the latest advancements in machine learning, particularly in areas related to training optimisation and efficiency.
  • Mentor and guide junior engineers, promoting a culture of continuous learning and technical excellence.
  • Contribute to the strategic planning and growth of the company by providing technical insights and recommendations.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
  • Proven experience in developing and deploying machine learning models with a focus on training pipeline design and optimisation.
  • Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or similar.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in designing and managing data pipelines and training workflows.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerisation technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment.
  • Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Ph.D. in a relevant field or equivalent industry experience.
  • Experience with large-scale model training, distributed computing, or model optimisation techniques.
  • Prior experience working in a startup or early-stage company.
  • Contributions to open-source machine learning projects or publications in top-tier conferences.

What We Offer:

  • Competitive salary and equity compensation.
  • Opportunity to work on cutting-edge AI technologies and make a meaningful impact.
  • Collaborative and inclusive company culture.
  • Professional growth and development opportunities.

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