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- Tasks: Lead the design and development of AI/ML solutions using Python.
- Company: Join Natobotics, a cutting-edge tech company focused on AI innovation.
- Benefits: Enjoy hybrid work options and potential contract extensions.
- Why this job: Be at the forefront of AI technology while mentoring future talent.
- Qualifications: 7+ years in software development with strong AI/ML and Python skills required.
- Other info: Opportunity to work with modern frameworks and tools in a collaborative environment.
The predicted salary is between 84000 - 126000 £ per year.
Software Engineer – AI / ML / Python (Lead Level)
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Software Engineer – AI / ML / Python (Lead Level)
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Job Title
Software Engineer – AI / ML / Python (Lead Level)
Location:
London, United Kingdom (Hybrid – 2-3 days onsite per week)
Job Title
Software Engineer – AI / ML / Python (Lead Level)
Location:
London, United Kingdom (Hybrid – 2-3 days onsite per week)
Contract Type
Contract (6 months, with extension likely)
Start Date
Immediate / Within 2-4 weeks
Job Description
We are seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London.
The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along with leadership experience in agile teams.
Key Responsibilities
Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design.
Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks.
Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications.
Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment).
Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making.
Implement MLOps pipelines for continuous training, deployment, and monitoring of models.
Ensure compliance with data privacy and security regulations (GDPR, etc.).
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
7+ years of professional software development experience, with at least 3 years in AI/ML.
Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch .
Solid understanding of ML algorithms , NLP , deep learning , and statistical methods.
Experience with Docker, Kubernetes , and cloud platforms like AWS / Azure / GCP .
Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc.) and version control systems.
Strong knowledge of APIs, microservices architecture, and CI/CD pipelines.
Proven experience in leading teams, managing stakeholders, and delivering end-to-end AI/ML projects.
Nice To Have
Exposure to LLMs (Large Language Models), generative AI , or transformer architectures .
Experience with data engineering tools (Spark, Airflow, Snowflake).
Prior experience in fintech, healthtech, or similar domains is a plus.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Engineering and Information Technology
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Industries
IT Services and IT Consulting
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Software Engineer – AI / ML / Python (Lead Level) employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – AI / ML / Python (Lead Level)
✨Tip Number 1
Make sure to showcase your leadership experience in AI/ML projects. Highlight any instances where you've led a team or mentored junior engineers, as this role specifically requires strong leadership skills.
✨Tip Number 2
Familiarise yourself with the latest AI/ML frameworks and tools mentioned in the job description, such as TensorFlow, PyTorch, and MLOps tools like MLflow. Being able to discuss these in detail during interviews will set you apart.
✨Tip Number 3
Prepare to discuss your experience with scalable system design and cloud platforms like AWS, Azure, or GCP. Be ready to provide examples of how you've implemented these technologies in past projects.
✨Tip Number 4
Network with professionals in the AI/ML field, especially those who have experience in fintech or healthtech. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Software Engineer – AI / ML / Python (Lead Level)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, ML, and Python development. Focus on relevant projects and leadership roles that demonstrate your ability to lead teams and deliver AI/ML solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and ML. Mention specific frameworks and tools you've worked with, and how your experience aligns with the responsibilities outlined in the job description.
Showcase Your Projects: Include links to any relevant projects or GitHub repositories that showcase your skills in AI/ML. Highlight your contributions to these projects, especially if they involved scalable system design or MLOps.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML algorithms, Python libraries, and system architecture. Be ready to discuss your approach to problem-solving and how you optimise model performance.
How to prepare for a job interview at Natobotics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML frameworks and Python libraries in detail. Bring examples of projects you've worked on, especially those that demonstrate your ability to design and implement ML models.
✨Demonstrate Leadership Experience
As a lead software engineer, you'll need to show your capability in leading teams. Prepare to share specific instances where you've mentored junior engineers or led a project, highlighting your approach to collaboration and decision-making.
✨Understand the Company’s Needs
Research Natobotics and their current projects or challenges in AI/ML. Tailor your responses to show how your skills can directly address their needs, particularly in scalable system design and MLOps.
✨Prepare for Technical Questions
Expect technical questions related to ML algorithms, data privacy regulations, and cloud platforms. Brush up on your knowledge of Docker, Kubernetes, and CI/CD pipelines, as these are crucial for the role.
