At a Glance
- Tasks: Join a team enhancing Data Scientist experiences through MLOps and ML model deployment.
- Company: Liberty IT is the tech arm of Liberty Mutual Insurance, focused on engineering excellence.
- Benefits: Enjoy flexible work patterns, health insurance, bonuses, and a hybrid work culture.
- Why this job: Work on complex problems, mentor others, and grow your skills in a supportive environment.
- Qualifications: Proficient in Python with 3-5 years of software development experience and cloud service familiarity.
- Other info: Liberty IT values inclusion and offers accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
External Description
Reach beyond with Liberty IT; for this is where you’ll find the super challenges, where you’ll be given the scope and the support to go further, dig deeper and fly higher.
We won’t stand over your shoulder. We won’t get in your way. We certainly won’t hold you back. You’ll bring the expertise. We’ll provide the platform to succeed.
Ready?
It’s time to do your thing.
You will have the opportunity to work within the MLOps capability to enhance the Data Scientist experience. Faster deployment of ML models in production to enable speedy experimentation and model development. With the goal to streamline the process of ML models development and deployment, enhancing the Data Scientist experience and reducing time to market for models. We are eager to find individuals who work with integrity by ensuring approved data access patterns and implementing mechanisms to facilitate model scalability and performance monitoring.
Experience and skills we need:
- Proficient in Python, with a foundational understanding of Machine Learning concepts.
- A third level qualification in Software Engineering, Computer Science or STEM subject and 3 years’ software development experience in a commercial environment; or current and valid industry recognised certifications and 5 years’ software development experience in a commercial environment.
- Familiarity with cloud services like AWS, Azure, or Google Cloud Platform, particularly their AI/ML services (e.g., AWS SageMaker, Google AI Platform).
- Experience with Docker for containerization and Kubernetes for orchestration of machine learning workflows.
- Feature or function design and delivery as part of an agile software development team (Scrum, Kanban, XP, etc.).
- Experience in collaborating across multidisciplinary teams, i.e Product Owners, Data Scientists, customers, end-users, or stakeholders in the delivery of software, solutions, or products.
What you’ll be doing:
- Be part of a team who are working to solve complex business problems by delivering high-quality software that provides an outstanding experience for our customers.
- With the support of more senior team members, contribute to the architecture or design in your area of work.
- Write clean code in line with the team’s set standards. Look for ways to improve your team’s coding standards.
- Own, scope and deliver well defined deliverables or stories. Communicate and update your progress regularly at stand-ups or similar agile events.
- Mentor and guide more junior team members to deliver well defined features, functions or components.
- Collaborate closely and cooperatively with your technical and non-technical teams to work towards the best solution that maximises value to the customer.
- Contribute to a culture of code quality and implement automated, unit and integration testing as part of the software development lifecycle. Apply good security processes such as threat modelling to the code you develop.
- Implement your team’s approach to delivering high quality, tested code. Maintain and improve CI/CD pipelines. Play a lead role in code reviews and actively review pull requests from other team members.
- Grow your knowledge of architecture, modern engineering principles and design patterns.
- Assess the business value of new technologies and technical solutions using a data-driven approach and implement them to the development life cycle.
- Supported by senior team members, seek opportunities to share and celebrate what you’ve learned through internal tech talks, blogging and external events.
What’s on offer
- Flexible work patterns including compressed working and 4 day working weeks from your first day at Liberty IT.
- Feel safe and secure whatever life brings, with health insurance (including access to a digital doctor), life assurance and income protection.
- Enjoy both today and tomorrow with employee discount schemes, annual bonuses and a competitive pension.
- Protect your wellbeing with flexible working and a real work-life balance. Specifically, we have adopted a hybrid remote and in-office working culture, meaning you have ultimate flexibility in your work environment.
- Grow yourself, your career and reputation through continuous learning, promotion opportunities and our generous recognition programme.
About Us
A little background on LIT
Liberty IT is the tech wing of Liberty Mutual Insurance. Bringing peace of mind to all aspects of customer’s lives, every day.
We’re an ideas company. Always. We thrive on engineering excellence and surpass with technical mastery. We build beautifully architected cloud solutions and reliably run high stability systems. We work alongside the best in the business and learn from the finest minds.
Great Place to Work in UK & Ireland 2024
Best Workplaces for Women (UK) 2024
Top 5 Best Tech Workplace
Centre of Excellence in Wellbeing
Fair employment and equal opportunities
Liberty IT is an equal opportunity employer, committed to inclusion and diversity.
If you have a disability, accommodations are available on request when taking part in all aspects of the recruitment, assessment, and selection process.
Now, it’s over to you.
If you’re ready to fly in your career, apply now.
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Senior Software Engineer - MLOps employer: Liberty Information Technology
Contact Detail:
Liberty Information Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - MLOps
✨Tip Number 1
Familiarize yourself with the specific MLOps tools and practices mentioned in the job description, such as AWS SageMaker or Google AI Platform. Having hands-on experience with these platforms can set you apart during discussions.
✨Tip Number 2
Engage with the MLOps community through forums, webinars, or local meetups. This not only helps you stay updated on industry trends but also allows you to network with professionals who might have insights into Liberty IT's work culture.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies like Scrum or Kanban. Be ready to share specific examples of how you've contributed to team dynamics and project success in previous roles.
✨Tip Number 4
Showcase your ability to mentor junior team members by preparing examples of how you've guided others in past projects. This aligns well with the collaborative culture at Liberty IT and demonstrates your leadership potential.
We think you need these skills to ace Senior Software Engineer - MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, MLOps, and cloud services like AWS or Azure. Emphasize your software development experience and any relevant certifications.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the responsibilities outlined in the job description. Mention specific projects or experiences that demonstrate your ability to enhance the Data Scientist experience.
Showcase Collaboration Skills: Highlight your experience working in agile teams and collaborating with multidisciplinary teams. Provide examples of how you've contributed to team success and improved coding standards.
Demonstrate Continuous Learning: Mention any recent learning experiences, such as tech talks, courses, or certifications related to MLOps or software engineering. This shows your commitment to growth and staying updated in the field.
How to prepare for a job interview at Liberty Information Technology
✨Showcase Your Python Proficiency
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented machine learning concepts, and be ready to explain your coding choices and the impact they had on the project.
✨Demonstrate Cloud Service Familiarity
Familiarize yourself with the cloud services mentioned in the job description, such as AWS, Azure, or Google Cloud Platform. Be ready to discuss how you've used these platforms in past projects, particularly their AI/ML services.
✨Emphasize Agile Experience
Since the role involves working in an agile environment, share examples of your experience with Scrum, Kanban, or XP methodologies. Discuss how you’ve contributed to team dynamics and delivered features in a collaborative setting.
✨Prepare for Technical Questions
Expect technical questions related to MLOps, Docker, and Kubernetes. Brush up on your knowledge of containerization and orchestration, and be ready to explain how these tools can enhance machine learning workflows.