Job description
Available Job Today This is a 12 month fixed-term position
Snapshot
By being the first in-house machine learning team of LNER, we are pioneering the innovation within the British railway industry. Our work impacts millions of customers and improve the quality of their travel experience
About Us
We are the London Northeast Railways, transporting our customers from all the way from Inverness and Aberdeen up to London for already a century. We are on the mission to rebuild and transform the entire customer journey experience.
The Role
As a Machine Learning Operations Engineer, you will help to architect and maintain the fully automated CI/CD production machine learning platform. You will apply the best software engineering practise into packaging the machine learning models developed by data scientists. You will build the scalable training and evaluation services and deploy the model performance monitoring tools. You will share your knowledge and experience with wider LNER audience.
About You
- Proficient in Unix environment and scripting in Bash and Python.
- Strong experience with containerization using Docker and containers management.
- Strong software engineering skillset including code review: a good understanding of coding best practices and experience with code and data versioning (using Git/CodeCommit), code quality and optimisation, error handling, logging, monitoring, validation and alerting.
- Fluent in writing well tested, readable code that is capable of processing large volumes of data and large amount of data processing and ML jobs.
- Expert knowledge of Python.
- An excellent knowledge of basic machine learning libraries, such as NumPy, SciPy, Pandas, Dask, PyTorch, Tensorflow, etc.
- Strong experience with AWS infrastructure with proficiency in the services such as: S3, EC2, Lambda functions, Cloud Formation, Athena, Dynamo DB, Code Commit, SageMaker, etc.
- A proven track record of linking data from multiple systems for scalable productionised solutions with security and monitoring best practices.
What Helps To Stand Out:
- Experienced with Cloud Security best practices.
- Hands-on experience with DevOps lifecycle, tools and frameworks.
- Knowledge of ML approaches such supervised/unsupervised machine learning, reinforcement learning, Bayesian inference.
- AWS Certification is strong benefit.
What you'll get:
- Free travel on LNER + 75% off other companies' tickets (for you & dependents)
- Discounted international train tickets (after one year's service)
- 50% discount on LNER tickets for friends & family
- Generous pension scheme
- Annual cycle to work schemes
- Discount, savings and cashback scheme from top retailers
- Health & wellbeing schemes and discounts
- Host of training opportunities to help further your career
- Rewards & awards to recognise when you shine
What we believe:
To be the most loved, progressive and responsible train operating company, we must make a meaningful difference – always doing what's right for our customers, our people, the communities and destinations we serve, the future of the industry we lead and the environment we cherish.
We know that our people are the beating heart of everything we do. We are committed to creating an inclusive, engaged culture that supports everyone at every stage of their journey – and ensures that when you're at LNER, you can always be you. No wonder most people never want to leave!
Diversity and inclusion
We are passionate about creating a diverse and inclusive workforce, representative of the communities we serve, and are creating ways to inspire diverse talent to join LNER.
Developing our people
We are focused on creating a learning culture, to support our people to be the best they can be at work by providing them with the tools and resources to navigate their development and career journey.
Health & wellbeing
To create a culture where our people can perform at their best, the physical health and mental wellbeing of our people is of paramount importance to us.
What next?
As we say, we have fantastic opportunities for ambitious people from all sorts of different backgrounds, so now is the time to join the team at LNER – without delay!
Start your journey here