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- Tasks: Design and implement cutting-edge machine learning models and scalable software solutions.
- Company: Join a forward-thinking company focused on innovative technology and impactful projects.
- Benefits: Enjoy competitive salary, flexible work hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team solving complex problems with the latest tech in a collaborative environment.
- Qualifications: Strong background in machine learning, software engineering, and experience with ML Ops.
- Other info: Lead and mentor junior engineers while staying ahead of industry trends.
The predicted salary is between 48000 - 84000 £ per year.
Senior Machine Learning Engineer
Up to £100,000
London (Fully Remote)
Company:
Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform.
As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth.
Responsibilities:
- Develop and deploy machine learning models to enhance the analytics platform.
- Collaborate with cross-functional teams to define and implement AI-driven solutions.
- Work on innovative, data-driven projects within the crypto space.
- Stay up to date with the latest trends in machine learning and crypto technologies.
Requirements:
- Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling.
- Experience in Python, TensorFlow, or similar frameworks.
- A passion for cryptocurrency and blockchain technologies.
- Strong problem-solving skills and the ability to work in a fast-paced, remote environment.
How to Apply:
Please register your interest by sending your CV to Joseph Gregory via the Apply link on this page.
Senior Machine Learning Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with machine learning models and software engineering in your conversations. Highlight specific projects where you designed and implemented scalable solutions, as this will resonate well with our team.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning and software engineering. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your approach to optimizing machine learning models and workflows. We value candidates who can articulate their strategies for improving efficiency and accuracy, so be ready with examples from your past work.
✨Tip Number 4
Collaboration is key in this role, so think of examples where you've successfully worked with cross-functional teams. Sharing these experiences will help us see how you can contribute to our collaborative environment.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and software engineering. Focus on specific projects where you designed and implemented machine learning models, and emphasize your collaboration with cross-functional teams.
Craft a Strong Cover Letter: In your cover letter, express your passion for machine learning and software development. Mention how your skills align with the responsibilities listed in the job description, particularly your experience with scalable systems and performance optimization.
Showcase Relevant Projects: Include examples of relevant projects in your application that demonstrate your ability to architect and optimize machine learning models. Highlight any tools, libraries, or frameworks you have developed or contributed to that streamline workflows.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you have completed related to machine learning and software engineering. This shows your commitment to staying up-to-date with industry trends and your proactive approach to learning new techniques.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and software engineering. Highlight specific projects where you designed and implemented algorithms, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Collaboration Experience
Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated with data scientists and software engineers in the past. Emphasize your ability to integrate machine learning models into production systems.
✨Discuss Optimization Techniques
Prepare to talk about your approach to optimizing machine learning models and workflows. Discuss any tools or techniques you've used to ensure efficiency and accuracy in production environments, as this will be crucial for the role.
✨Stay Current with Industry Trends
Show your passion for the field by discussing recent trends in machine learning and software engineering. Bring new ideas or techniques you've learned and explain how they could benefit the team and projects at the company.
