Parser
MLOps Technical Manager
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
MLOps Technical Lead
Who is Parser?
Technology alone does not create impact—the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe, the Americas, and the Middle East. We combine global reach with agility, senior expertise, and close collaboration.
We work as an extension of our clients’ teams to define problems, shape solutions, and deliver measurable business outcomes across software engineering, AI & data, product development, and customer experience.
Why Join Us?
If you are looking for a place where you can think beyond execution, take ownership, influence technical decisions, and continuously learn alongside experienced specialists in a global environment, we’d love to meet you.
How will you impact?
As an MLOps Technical Lead, you’ll combine strong software engineering foundations with deep MLOps expertise to shape the architecture and delivery of scalable ML systems in a high-volume, complex engineering environment.
You’ll lead across the full technical stack, from ML infrastructure and Python backend services through to frontend integration, while driving the transition from MLflow to AWS SageMaker and providing technical leadership to a team of engineers.
Your key responsibilities:
- Own the end-to-end technical delivery of production ML systems across backend, ML infrastructure, and frontend integration.
- Lead architectural decisions, ensuring solutions are scalable, reliable, maintainable, and production-ready.
- Drive the transition from MLflow to AWS SageMaker, ensuring continuity and minimal disruption.
- Champion MLOps best practices across model training, deployment, serving, monitoring, and CI/CD.
- Design scalable infrastructure for batch and real-time ML workloads and robust ETL/ELT pipelines.
- Remain hands-on across Python backend engineering and React frontend development.
- Lead and mentor a team of 5+ engineers, driving technical quality and continuous improvement.
- Collaborate with Data Science, Engineering, and Operations to solve complex technical challenges.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you’ll bring to the role:
Essential Requirements:
- 10+ years of experience in Software, Data, or ML Engineering, underpinned by strong software engineering expertise.
- Proven experience as a Technical Lead, leading engineering teams of 5+ while remaining hands-on with technical delivery.
- Deep MLOps expertise across model training, serving, deployment, monitoring, and CI/CD.
- Expert-level Python, with a track record of building scalable, production-grade systems.
- Strong hands-on experience with MLflow, AWS, and cloud-native architectures.
- Strong full-stack engineering capability across backend systems and frontend development using React.
- Experience building large-scale data systems using ETL/ELT pipelines, Docker, and distributed data processing.
Desirable Requirements:
- Experience with AWS SageMaker or similar managed ML platforms.
- Experience with Spark, Kafka, event-driven architectures, or real-time ML systems.
- Experience working within large-scale, high-transaction engineering environments, with exposure to complex production systems, platform ownership, architecture governance, and long-term technical strategy.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Location:
UK (Hybrid) 3 days per week onsite in the London Borough of Hillingdon
You will receive:
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to be part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- A flexible and hybrid working environment.
- BUPA Private Medical insurance.
Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.
If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.
By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser’s Privacy Notice for recruitment purposes.
Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.
Come and join our #ParserCommunity. https://parserdigital.com/ Follow us on Linkedin
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London