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- Tasks: Design and deploy cutting-edge AI/ML models while mentoring junior developers.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI with real-world impact.
- Qualifications: 5+ years in AI/ML development; strong programming skills in Python or R required.
- Other info: Sponsorship available for the right candidate.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
- Perform feature engineering and selection to optimize model performance.
- Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
- Train, evaluate, and optimize models using machine learning and statistical techniques.
- Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
- Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
- Deploy models to production environments, ensuring robustness and scalability.
- Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
- Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
- Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
- Stay updated on the latest advancements in AI/ML and data science technologies.
- Lead and mentor junior team members.
- Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.
Qualifications:
- 5+ years of experience in AI/ML development and data science.
- Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn).
- Proficiency in Python, R, or other relevant programming languages.
- Proficiency in working with large datasets, data wrangling, and data preprocessing.
- Experience in data science, statistical modelling, and data analytics techniques.
- Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability to work independently and lead projects from inception to deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.
- MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or related field is preferred.
Senior AI/ML Developer employer: 2N Future Tech
Contact Detail:
2N Future Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Developer
✨Tip Number 1
Make sure to showcase your experience with AI/ML algorithms and frameworks during networking events or meetups. Engaging in discussions about your projects can help you connect with industry professionals who might refer you to opportunities at StudySmarter.
✨Tip Number 2
Stay active on platforms like GitHub or Kaggle, where you can demonstrate your skills through projects and competitions. This not only builds your portfolio but also shows potential employers, including us, that you're passionate about AI/ML development.
✨Tip Number 3
Consider joining online forums or communities focused on AI/ML. Engaging with others in the field can lead to valuable insights and connections that may help you learn about job openings at StudySmarter before they are widely advertised.
✨Tip Number 4
Keep an eye on the latest trends and advancements in AI/ML by following relevant blogs, podcasts, and research papers. Being knowledgeable about current developments will not only prepare you for interviews but also show us that you're committed to continuous learning.
We think you need these skills to ace Senior AI/ML Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML development, particularly focusing on relevant projects and technologies you've worked with. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your passion for AI/ML. Mention specific projects or achievements that relate to the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on significant AI/ML projects, consider including a portfolio or links to your work. This could be GitHub repositories or case studies that illustrate your ability to design and deploy models effectively.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI/ML. This shows your commitment to staying updated with the latest advancements in the field, which is crucial for this role.
How to prepare for a job interview at 2N Future Tech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML algorithms and frameworks like TensorFlow or PyTorch. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially in feature engineering and model optimisation. This will highlight your analytical skills and approach to real-world issues.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, share specific instances where you've collaborated effectively with others. Discuss how you integrated AI/ML models into business applications, showcasing your ability to communicate technical concepts to non-technical stakeholders.
✨Stay Updated on Industry Trends
Research the latest advancements in AI/ML and be ready to discuss them. Showing that you're informed about current trends and technologies will reflect your passion for the field and your commitment to continuous learning.
