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- Tasks: Design and optimise cutting-edge machine learning models to solve real-world problems.
- Company: Join a global leader in the Artificial Intelligence industry, working remotely.
- Benefits: Earn $30 - $100/hour with flexible remote work opportunities.
- Other info: Contract position with excellent opportunities for skill development and career growth.
- Why this job: Make an impact in AI while collaborating with talented professionals worldwide.
- Qualifications: Advanced knowledge of machine learning and expertise in TensorFlow and Scikit-learn required.
The predicted salary is between 60000 - 200000 £ per year.
Join one of our clients, a global leader in the Artificial Intelligence industry, as a skilled Machine Learning Engineer working on a contract basis. This role involves leveraging advanced technical skills to design, develop, and optimize state-of-the-art machine learning models. You will play a pivotal role in solving complex data challenges, collaborating closely with cross-functional stakeholders, and driving impactful results in a fully remote environment. This is a contractor position.
Key Responsibilities
- Develop and train machine learning models using TensorFlow and Scikit-learn to address real-world business problems.
- Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.
- Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable ML solutions.
- Continuously monitor, evaluate, and optimize machine learning models to ensure they meet performance and business objectives.
- Conduct thorough analysis and provide actionable insights to stakeholders on model performance and areas for improvement.
Required Skills & Qualifications
- Advanced knowledge of machine learning concepts and techniques, including supervised and unsupervised learning, neural networks, and deep learning.
- Expertise in TensorFlow and Scikit-learn, with experience in developing and deploying machine learning models.
- Strong understanding of data preprocessing, including data cleaning, transformation, and feature engineering.
- Excellent collaboration and communication skills, with experience working with cross-functional teams.
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify trends and patterns.
More About the Opportunity
This is a contract opportunity that requires a high level of technical expertise and experience in machine learning. Applicants will be reviewed based on their skills and qualifications, and selected candidates will have the opportunity to work with a global leader in the AI industry.
Equal Opportunity Employer
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Machine Learning Software Developer (Remote) in London employer: Sourced
Contact Detail:
Sourced Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Software Developer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend virtual meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. We want to see those TensorFlow and Scikit-learn models in action!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your thought process when tackling complex data challenges. We’re all about collaboration, so show us how you can communicate effectively with cross-functional teams!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative. Don’t wait around; get your application in and let’s make some machine learning magic happen!
We think you need these skills to ace Machine Learning Software Developer (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, especially with TensorFlow and Scikit-learn. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to solving real-world problems. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Sourced
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning concepts, especially those related to TensorFlow and Scikit-learn. Be ready to discuss specific projects where you've applied these tools, as well as the challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about the steps you took for data preprocessing, feature engineering, and model optimisation, and be ready to explain your thought process clearly.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with data scientists, engineers, and analysts. Highlight any successful projects where teamwork led to impactful results, and emphasise your communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current machine learning projects, the team dynamics, or how they measure success in model performance. This shows you're engaged and eager to contribute.