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For Companies At a Glance
- 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, strong programming skills, and a passion for data science 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
Network with professionals in the AI/ML field. Attend industry conferences, webinars, or local meetups to connect with others who work in similar roles. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any AI/ML models you've developed, especially those that demonstrate your skills in LLMs and GenAI. This practical evidence of your expertise can make a strong impression.
✨Tip Number 3
Stay updated on the latest advancements in AI/ML technologies. Follow relevant blogs, podcasts, and research papers to keep your knowledge fresh. Being able to discuss recent developments during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to AI/ML. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and performance during the interview process.
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 Your Technical Skills: In your application, emphasise your proficiency with machine learning frameworks and programming languages mentioned in the job description. Provide examples of how you've used these tools in past projects to solve real-world problems.
Highlight Leadership Experience: If you have experience mentoring junior team members or leading projects, make sure to include this in your application. Companies value candidates who can lead and collaborate effectively within teams.
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.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data challenges, as this will highlight your analytical skills and approach to AI/ML development.
✨Demonstrate Leadership Experience
Since the role involves mentoring junior team members, be ready to share examples of how you've led projects or guided others in your previous roles. This will show your capability to take charge and support team growth.
✨Stay Updated on Industry Trends
Research the latest advancements in AI/ML and be prepared to discuss them during the interview. Showing that you are proactive about staying informed will reflect your passion for the field and your commitment to continuous learning.
