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For Companies At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions in a dynamic team.
- Company: Join a forward-thinking company at the forefront of data analytics and AI.
- Benefits: Competitive daily rate, fully remote work, and potential for contract extension.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 8+ years in software engineering with strong Python and C++ skills.
- Other info: Opportunity to mentor and collaborate with talented engineers.
This is an exciting contract opportunity for a Lead MLOps Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced AI solutions within the Azure ecosystem.
Key Responsibilities
- Provide technical leadership across the platform team, aligning engineering solutions with client requirements and long-term platform strategy.
- Design and implement Model Context Protocol (MCP) integrations that connect LLMs with internal tools, APIs, and data sources while maintaining reliability, security, and low operational overhead.
- Architect and develop production-grade Python systems, ensuring strong standards for performance, testing, maintainability, and observability.
- Lead the design and implementation of the organisation's MLOps framework, supporting model development, deployment, monitoring, and lifecycle management.
- Drive architecture and system design decisions across the AI platform stack, establishing patterns and standards for how AI-powered capabilities are built and integrated.
- Work closely with machine learning engineers, data engineers, and product teams to translate requirements into scalable, maintainable solutions.
- Build and maintain systems running in containerised and microservice-based environments, ensuring reliability and operational robustness.
- Mentor and support engineers across the team, contributing through code reviews, design discussions, and hands-on collaboration.
Skills and Experiences
- 8+ years of professional software engineering experience delivering production systems.
- Deep expertise in Python, including software architecture, packaging, testing, asynchronous programming, and production deployment practices.
- Strong C++ development experience in professional environments, including writing performant and memory-safe code.
- Experience building lightweight tool or API integrations, such as MCP implementations, context providers, tool servers, or plugin-style architectures for LLM-driven systems.
- Experience developing and operating containerised applications and microservices in production environments.
- Hands-on experience with Databricks, including components such as Delta Lake, clusters, Unity Catalog, asset bundles, and familiarity with Mosaic AI capabilities (e.g., MLflow, DBRX, model serving, or LLM fine-tuning).
- Strong system design and architectural thinking, including designing resilient systems, defining interfaces, and anticipating failure modes.
- Deep understanding of software engineering paradigms such as object-oriented, functional, event-driven, and reactive programming, with the ability to apply the right paradigm to the problem.
- Demonstrated experience implementing and evaluating software design patterns (creational, structural, behavioural) in production codebases.
- Previous experience operating in a technical leadership role, such as Staff Engineer, Principal Engineer, or Tech Lead.
Additional Information
- Rate offered: Up to £625 per day
- IR35 Status: Outside
- Location: Fully remote
- Start date: ASAP
- Duration: 3 months initial sign up with significant opportunity for extension.
Lead MLOps Engineer - Outside IR35 employer: Shareforce
Contact Detail:
Shareforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead MLOps Engineer - Outside IR35
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the MLOps space. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Python and MLOps frameworks. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and C++ skills. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions and think about how you can demonstrate your leadership abilities.
✨Apply Through Our Website
We’ve got a fantastic platform for job applications, so make sure you apply through our website! It’s the best way to ensure your application gets seen by the right people and increases your chances of landing that Lead MLOps Engineer role.
We think you need these skills to ace Lead MLOps Engineer - Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead MLOps Engineer role. Highlight your experience with Python, C++, and any relevant MLOps frameworks. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Technical Leadership: Since this role involves technical leadership, be sure to mention any previous experiences where you led a team or project. We love seeing how you've mentored others and driven architectural decisions!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Shareforce
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and C++, as these are crucial for the role. Brush up on your experience with containerised applications and microservices, and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Leadership Skills
Since this is a lead position, prepare examples that highlight your technical leadership. Think about times when you mentored others or led a project, and be ready to explain how you aligned engineering solutions with client needs.
✨Understand the MLOps Framework
Familiarise yourself with MLOps concepts and be prepared to discuss how you would design and implement an MLOps framework. Bring examples of how you've supported model development and deployment in previous roles.
✨Prepare for System Design Questions
Expect questions around system architecture and design patterns. Be ready to explain your thought process when designing resilient systems and how you anticipate failure modes. Practice articulating your approach to problem-solving in a clear and structured way.