At a Glance
- Tasks: Build innovative AI solutions and collaborate with talented engineers and data scientists.
- Company: Dynamic tech company focused on AI and machine learning.
- Benefits: Competitive salary, diverse work culture, and opportunities for skill growth.
- Other info: Inclusive environment with a strong commitment to diversity and career development.
- Why this job: Shape the future of technology and make a real impact on global projects.
- Qualifications: Experience in Python and cloud-based infrastructure is essential.
The predicted salary is between 70000 - 90000 £ per year.
Are you passionate about building innovative technology that powers AI and machine learning across a global organization? As part of our team, you’ll help shape the future of model deployment at scale, collaborating with talented engineers and data scientists. You’ll have the opportunity to work on impactful projects, grow your skills, and contribute to a platform that drives real business outcomes. We value creativity, collaboration, and a commitment to excellence.
As a Software Engineer in the Firmwide AI/ML Deployment Platform team, you will design and develop cloud-native solutions that support model deployment across the organization. You will work closely with data scientists and engineers to deliver features that streamline production workflows. Your contributions will help scale our platform to meet the needs of diverse internal clients, ensuring reliability and innovation. You will be part of a collaborative environment focused on continuous improvement and technical excellence.
Job Responsibilities- Build and deploy infrastructure solutions for seamless integration of control plane and client accounts
- Develop and implement APIs for platform functionalities such as automated retraining, scheduling, endpoint deployments, and autoscaling
- Design robust features to support a growing internal customer base, including multi-region and disaster recovery capabilities
- Architect and implement model monitoring solutions, with emphasis on LLM monitoring and automated issue correction
- Engage with clients to identify strategic solutions and provide deployment and debugging support
- Assist in implementing platform capabilities aligned with product requirements
- Deploy infrastructure and develop managed environments for platform operations
- Knowledge of AWS services and cloud-based infrastructure
- Experience building resilient software platforms
- Proficiency in architecting software solutions at scale
- Ability to design solutions with strategic insight
- Proficiency in Python
- Familiarity with monitoring tools, especially for AI/ML model monitoring
- Proficiency in Golang
- Experience with AWS Sagemaker for model training and deployment
- Familiarity with Kubernetes and managing deployments to EKS
- Knowledge of networking concepts such as Virtual Private Clouds and DNS
- Experience working with LLMs
- Experience with Terraform or other Infrastructure as Code tools
- Experience in API development and design
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Lead Software Engineer - Python employer: TwinThread
Join a forward-thinking organisation that champions innovation and collaboration in the realm of AI and machine learning. As a Lead Software Engineer - Python, you will thrive in a dynamic work culture that prioritises continuous improvement and technical excellence, while enjoying ample opportunities for professional growth and development. Our commitment to diversity and inclusion ensures a supportive environment where your unique talents can flourish, making this an exceptional place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - Python
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the technical interview by brushing up on your Python skills and cloud infrastructure knowledge. Practice coding challenges and be ready to discuss your past projects in detail—show us what you've built!
✨Tip Number 3
Don’t just focus on the job description; think about how you can add value to the team. Be ready to share ideas on improving model deployment or enhancing platform features during your interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team.
We think you need these skills to ace Lead Software Engineer - Python
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Software Engineer role. Highlight your proficiency in Python and any relevant cloud-based infrastructure experience, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to showcase your passion for AI and machine learning. Share specific examples of how you've contributed to similar projects in the past, and let your creativity shine through!
Showcase Your Collaboration Skills:Since we value collaboration, mention any experiences where you worked closely with engineers or data scientists. This will demonstrate your ability to thrive in our team-oriented environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at TwinThread
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AWS services. Brush up on your knowledge of cloud-native solutions and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in software development. Think about times when you designed resilient platforms or implemented APIs, and be ready to explain your thought process and the impact of your solutions.
✨Engage with Real Scenarios
During the interview, don’t just answer questions—engage with hypothetical scenarios they might present. Discuss how you would approach model monitoring or disaster recovery capabilities, showing your strategic insight and collaborative spirit.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects, team dynamics, or how they measure success in model deployment. This shows you’re not only interested in the position but also in contributing to their goals.
