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- Tasks: Design and deploy cutting-edge AI/ML models while mentoring junior developers.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: 5+ years in AI/ML with strong programming skills and experience in data science.
- 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, and meetups to connect with potential colleagues and mentors. This can help you gain insights into the latest trends and possibly get referrals for job openings.
✨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 you stand out to hiring managers.
✨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 show your passion and commitment to the field.
✨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 can 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 relevant experience in AI/ML development. Focus on specific projects where you've designed, developed, or deployed models, and mention the technologies and frameworks you've used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with the responsibilities listed in the job description. Mention any leadership experience, especially if you've mentored junior team members.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description, such as proficiency in Python, experience with TensorFlow or PyTorch, and familiarity with big data technologies.
Highlight Continuous Learning: Demonstrate your commitment to staying updated on AI/ML advancements. Mention any recent courses, certifications, or conferences you've attended that are relevant to the 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 you've worked on, especially those involving LLMs or GenAI, to demonstrate your hands-on expertise.
✨Discuss Data Handling Experience
Highlight your proficiency in data wrangling and preprocessing. Be ready to explain how you've ensured data quality in past projects and the techniques you used for feature engineering and selection.
✨Emphasise Collaboration and Leadership
Since this role involves mentoring junior team members and collaborating with cross-functional teams, share examples of how you've successfully led projects and worked with others to integrate AI/ML solutions into business applications.
✨Stay Updated on Industry Trends
Demonstrate your passion for AI/ML by discussing recent advancements in the field. Mention any relevant courses, workshops, or conferences you've attended to show that you're committed to continuous learning.
