Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
About the role
- MLOps Engineer ensuring production reliability and value of machine learning models. Focused on integration, monitoring, and assisting data scientists with model deployment.
Responsibilities
- Help ensure our machine learning models run reliably and add value in production.
- Focus on monitoring, maintaining, and integrating models into products.
- Assist data scientists in moving models from research into production.
Requirements
- Technical experience in data engineering or data science roles.
- An understanding of the machine learning development lifecycle, including model development, deployment, monitoring, and maintenance.
- Experience with Quantexa would be advantageous.
- Strong programming skills in Python and experience with common ML libraries.
- Experience with big data tools, such as Spark
- Experience with containerization and orchestration technologies like Docker, Helm, and Kubernetes.
- Familiarity with DevOps tools such as Jenkins, or similar for workflow automation.
- Experience deploying machine learning models into production and managing their lifecycle.
- Experience implementing model governance, including versioning, monitoring, drift detection, and reporting.
- Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC.
- Programming skills in Scala.
- Experience working with ONNX and ONNX Runtime for model optimization and deployment.
- Experience mentoring or supporting colleagues to help them grow their technical skills.
Benefits
- Competitive salary
- Company bonus
- 25 days annual leave (with the option of buying up to 5 days, and rolling over up to 10), plus national holidays + your birthday off!
- Pension scheme with a company contribution of 6% (when you contribute 3%)
- Private Healthcare with AXA, including dental & optic cover
- Life Insurance and Income Protection
- Regularly bench-marked salary rates
- Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
- Well-being days
- Volunteer Day off
- Work from Home Equipment
- Commuter, Tech and cycle to work schemes
- Octopus EV Salary Sacrifice scheme
- Free Calm App Subscription #1 app for meditation, relaxation and sleep
- Continuous Training and Development, including access to Udemy Business
- Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
- Employee Referral Program
- Team Social Budget & Company-wide Socials
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.
MLOps Engineer scaling AI/ML solutions across game studios at Stillfront. Collaborating with teams to operationalize machine learning solutions for a diverse gaming portfolio.
Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
Contract AI/ML Engineer focused on delivering machine learning projects for clients at AND Digital. Aiming to enhance AI - powered solutions and contribute to digital skills development.
Senior Machine Learning Engineer at TomTom building data pipelines for autonomous vehicle mapping solutions. Collaborating in a diverse team to innovate and implement machine learning technologies.
Machine Learning Manager improving automated decision - making and managing a team. Driving innovations in credit risk modeling for Monzo’s borrowing products.
Machine Learning Engineer responsible for ML model design and deployment at SiGMA Group. Enhancing event experiences through AI - driven solutions in iGaming and tech.