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If you are looking to join a small, driven, and growing team where you can leverage your software engineering experience to build highly impactful digital solutions that impacts the lives of our patients and healthcare providers, then this is the position for you. You will be the Senior AI-Machine Learning Engineer (MLOps) within the team. You will be responsible for working within project teams and ensuring the solution architecture creates delightful experience for internal and external stakeholders.
Key Duties and Responsibilities
- Partner closely with data scientists, and data engineers, and other technical teams to implement and optimize production grade MLOps systems.
- Strong engineering fundamentals in software design, version control, continuous integration and delivery, testing, containers, and orchestration, monitoring and logging for enterprise-grade machine learning platforms in real world environments.
- Implement model monitoring, orchestration, model re-training, version control, continuous integration, and delivery.
- Build awareness, increase knowledge, and drive adoption of MLOps technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers)
- Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
- Be part of a high-performing team developing and implementing AI algorithms to help address solve complex problems and create unique solutions in healthcare.
- Build awareness, increase knowledge, and drive adoption of MLOps technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers)
- Carryout architecture reviews and enabling teams fix issues that arise from the reviews.
- Ability to effectively communicate, influence and drive consensus between the business, technology teams, and executive leadership in an organization with multiple lines of business.
- Responsible for working in an Agile environment and evaluating pre-project ideas in terms of technical complexity and solution architecture. Participates in high-level estimation.
About You
- Bachelor’s degree in computer science, AI, Data Science, Software or Computer Engineering, Computational Statistics, Mathematics, or a closely related discipline. Master’s or above is highly preferred.
- Experience working in a regulated industry, or the medical device space is highly preferred.
- 5+ years of experience as a MLOps engineer (AI-ML).
- Demonstrable experience in using cloud based MLOps platform including AWS and / or Databricks.
- AWS Tools include AWS code build, code commit, code pipeline, ECR, S3, Sagemaker registry / container, AWS CloudFormation, step functions, and AWS lambda.
- Databricks, development, staging, production areas, bronze, silver and gold tables, MLflow, lakehouse monitoring, and model retraining.
- Use of Terraform to build cloud-based infrastructure is also desirable.
- Good knowledge of MLOPs life cycle including data preparation, model build, validate, test, deploy and monitor and retrain.
- Demonstrable expertise using scripting such as Python.
- Good software skills to support models through the life cycle, namely: pipelines and models from development, staging, UAT to production. Adherence to coding standards, configuration control and continuous integration and delivery.
Working Conditions
This position will be mainly remote; however, we will expect our successful candidate to travel for team meetings to either our Paddington or Deeside site (approx. once per month).
Travel
Position may involve travel up to 10% of the time, mostly within UK/US but overseas travel is expected. Most trips will include overnight travel.
Our transformation will change your career. For good. You'll be pushed to think bigger and aim for excellence. Your ideas will be heard, and you'll be supported to bring them to life. There'll be challenges. But stretch yourself and embrace the opportunities, and you could make your biggest impact yet.
This is stepping outside of your comfort zone.
This is work that'll move you.
#LI-LT2
#LI-Hybrid
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A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address.
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Equal opportunities
Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
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Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.
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