Senior Machine Learning Engineer

*At UL, we know why we come to work. *Thousands of us around the world wake up every day with a common purpose: to make the world a safer, more secure and sustainable place. Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centred on integrity, collaboration, inclusion and excellence.As our global footprint continues to spread across the world, we are looking for a Machine Learning Engineer to join our AILab and can be based either in Spain or the UK. Depending on your preference you could work remotely or as a hybrid between office / home work.***About the role:**In this role you will have a strong focus on enabling UL's client base to effectively leverage recent developments in the digital revolution, giving them the ability to truly leverage their own corpus of data combined with 3rd party data sources, UL’s core data sources and deep Voice of Science competences, to win in a rapidly evolving digital eco-system.You'll already have some great experience in machine learning and development best practices and be someone that is passionate about working with data and driven to deliver creative and compelling solutions which turn data into actionable information for our customers.***What you’ll learn & achieve:*Engaging with the Product and Data Science teams to produce ML modelling code.Working with the customers and the QA team to design APIs for new services.Identifying and addressing areas for improvement in the common codebase used for service development and deploymentDeveloping build and release pipelines for the servicesMaintaining the Kubernetes cluster that the services are deployed toMonitoring services performance with production traffic.Developing an automated model performance monitoring solution to identify data and model drift*What makes you a great fit:*·Experience writing (and testing) production-grade Python code.Experience with microservice architecture, cloud computing, and developing web APIs. Docker and Helm skills are a plus.Working knowledge of project lifecycle and DevOps. Experience with the Azure DevOps stack a plus.Previous experience with ML-adjacent Python libraries a big bonus!A strong sense of ownership and ability to self-organise.-* All Employee Incentive Plan (AEIP) — all employees are eligible for a yearly bonus* Holiday: 25 days per annum, plus an additional day for every one year’s service (up to a max of 30 days)* Life assurance* Pension plan — match up to 5%* Bupa healthcare and dental scheme* Free eye test and contribution to eyewear* Enhanced family leave* Flexible- and remote-working options* Excellent training including Pluralsight and UL University* Regular lunch and learn sessions* Free parking when onsite*For US employees:** All employees at UL are eligible for bonus compensation* UL offers a generous 401k matching structure of up to 5% of eligible pay. Additionally, we invest an additional 4% into your retirement saving fund after your first year of continuous employment* We provide Healthcare Reimbursement Accounts and Health Savings Accounts that UL contributes to twice per year!* Depending on your role, you can work with your manager on flexible working arrangements* We also provide employees with paid time off including vacation, holiday, sick and volunteer time off* Teams Interview* Remote Technical Test* Competency Interview* OfferPython, Azure, SQL, Machine Learning, NLPPython, Azure, SQL, Cloud Computing, NLP

Send me alerts about jobs like this.

Please enter your email address to continue setting up an email alert for similar jobs to this one. By entering your email address and clicking apply you will sign up to Jobs4 and agree to our terms and conditions.

Job Overview

ID:

626468

Date Posted:

Posted 2 weeks ago

Expiration Date:

18/07/2022

Location:

Warrington

Salary:

Competitive

Send me alerts about jobs like this.

Please enter your email address to continue setting up an email alert for similar jobs to this one. By entering your email address and clicking apply you will sign up to Jobs4 and agree to our terms and conditions.

Share

Complete the form below to send this job to a friend.

Job Location

Complete the form below to report this job.