- Drive the efficient development, deployment, and management of ML models in production, ensuring their continuous performance and reliability.
- Maintain and enhance an enterprise-wide peer review process, to drive transformational changes to the way we work as an ML community.
- Work closely with data scientists, researchers, and engineers to define requirements, translate insights into actionable solutions, and communicate complex technical concepts to diverse stakeholders.
- Strong proficiency in Python, along with familiarity with other languages like R.
- Deep understanding of Azure data platform, and specifically Azure Machine Learning and related services like Azure Databricks and Azure Data Factory, Azure DevOps.
- Experience in helping drive ML maturity and introducing and developing CI/CD orchestration with Git and similar tools.
- Assisting in Peer Review as requested with model review, run the code refactoring and optimisation and containerisation deployment and versioning.
- Stakeholder engagement – liaising with internal teams and external partners to support projects
- Full support and career-development resources to expand your skills, enhance your expertise, and maximise your potential along your career journey.
- A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table.
- Generous Total Rewards Plan – comprising of health, finance and wealth, work/life balance, and career benefits.
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Machine Learning Engineer - Warwick, Warwickshire, United Kingdom - NLP PEOPLE
Description
The Senior Machine Learning Engineer role supports the AI Centre of Excellence Manager by being responsible for the integration of ESO strategic priorities and capabilities with the AI Centre of Excellence by working with stakeholders across the ESO, UK Energy industry and Academia.
The Enterprise AI program has a mission to make the ESO efficiently effective at the deployment of AI models for business improvement.
We work to provide the our data science communities with the environment, tools and ways of working to achieve that effectiveness.
As the lead ML Ops engineer, you'll be responsible for helping our data science teams to productionise their peer reviewed models, and to make them available to business users.
This role can be based from Wokingham or Warwick, and we continue to offer hybrid working from office and home.
We are open to full time and part time applicants, as well as flexible working arrangements.Our mission is to facilitate the decarbonisation of Great Britain's energy network and ensure the delivery of reliable, affordable, and green electricity for consumers.
We work with stakeholders across the whole energy industry to plan for future network needs, using insight to make sure we can balance the system today and find opportunities to transform the way it operates tomorrow.
In 2021, government and Ofgem jointly consulted on proposals for an expert, impartial Future System Operator (FSO) with responsibilities across both the electricity and gas systems, to drive progress towards net zero while maintaining energy security and minimising costs for consumersArchitect & Engineer:
Design and implement robust machine learning pipelines and infrastructure on Azure, integrating seamlessly with existing IT systems
Data Processing and pipelines:
Ensure high-quality data flows for your models by building and maintaining ETL/ELT pipelines on azure platforms
Model Monitoring & optimisation:
Continuously monitor and optimise deployed models to ensure they maintain peak performance and deliver expected business outcomes.
As well as your base salary, you will receive a bonus based on company performance, 26 days annual leave as standard and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%.
As we work towards creating a cleaner, greener, and more affordable future for all, we also work towards creating a place for our teammates to belong, with professional and personal growth and positive well-being.
We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office.
We're committed to building a workforce that represents the communities we serve, and a working environment in which each individual feels valued, respected, fairly treated, and able to reach their full potential.
#Language requirements:Senior (5+ years of experience)
Tagged as:
Industry , Machine Learning , NLP , United Kingdom
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