Machine Learning Operations Engineer

Why LNER?

We go beyond. For everyone. Our vision is to be the most loved, progressive and responsible way to travel for generations to come. Now we're looking for the people who can deliver this, every day.

Since we took over on the East Coast mainline, we've been changing the face of rail travel. Our new Azuma train has brought faster journey times, more space and greater reliability. Our exciting plans to embrace new ideas, experiences, backgrounds and ambitions make this the ideal time to join.

Bringing passion. Being bold. Always caring. Owning it. They're the values that make us LNER.

Are you on board?

We’re looking for a highly motivated Machine Learning Engineer to help turn cutting-edge machine learning into reliable, production-ready solutions that deliver measurable impact delivering multimillion pound benefits for LNER and across the rail industry through work across our owning group DFTO. As a core member of our Machine Learning Team, you'll design, implement and monitor automated CI/CD pipelines, map complex data feeds, and ensure our ML platform scales securely and ethically.

You'll thrive here if you can deliver results with a customer focus, communicate clearly to technical and non-technical audiences, and bring strong decision-making and problem-solving skills. We value expertise in productionising ML models, data engineering, maintaining live environments, and championing best practice across the entire model-development lifecycle. Collaboration is key—you'll work closely with Solutions Architects, IT, and data scientists while continually expanding your technical and leadership skills.

Please note this is an 18 month fixed term contract.

• 
  
• Leading the delivery and management of the machine learning platform infrastructure and code repository, including packaging model code, implementing automated test frameworks and providing quality assurance
  
• Implementing continuous development and deployment practices including accountability for deployment, execution and operations of technologies for data processing and ML pipelines
  
• Designing, implementing and monitoring continuous model training and selection pipeline. Ensures version management and monitoring of the models.
  
• Designing, developing and implementing data ingestion pipelines supporting both Data Engineering and ML Ops Engineering activities as required.
  
• Acting as a knowledge base for machine learning operations technologies to other members of ML team.
  
• Support with infrastructure provisioning and management for IT (AWS MLL accounts) and ML team to compensate resources shortage (on IT side).
  

Essentials

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• Proficient in Unix environment and scripting in Bash and Python.
  
• 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.
  
• Strong experience with containerization using Docker and containers management.
  
• Strong experience of infrastructure as code (IAC)
  
• 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.
  
• A proven track record of linking data from multiple systems for scalable productionised solutions with security and monitoring best practices.
  
• Experienced with Cloud Security best practices.
  
• Hands-on experience with DevOps lifecycle, tools and frameworks.
  

Desirables

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• Knowledge of ML approaches such supervised/unsupervised machine learning, reinforcement learning, Bayesian inference.
  
• AWS Certification is strong benefit.
  
• Experience with Google Cloud's Big Data tools.
  
• Proficient with Kafka is plus but not essential.
  

• 
  
• 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
  

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!

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.

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.

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.

Disclosure and Barring Service (DBS) Check

If you are successful in your application and are new to the business, we will undertake a basic DBS check as part of our pre-employment checks. This only happens once we have conditionally offered you the job. Here we check for any unspent convictions and conditional cautions under the Rehabilitation of Offenders Act (ROA) 1974. If there is evidence of an unspent conviction or conditional caution, the details of these are reviewed internally by a cross functional panel on a case by case basis before a final offer of employment is issued. This however may result in any offer being withdrawn. Further information on how we collect and use this data is available on our privacy notice.

We're a safety conscious business so for all roles you'll need to pass a medical screening and a drugs and alcohol test before we send you an unconditional job offer. For our safety critical roles, you'll also need to have a safety critical medical. Our friendly, in-house Health and Wellbeing team will book a time and place to suit you. The sooner, the better, so please be flexible with your availability. Once your medical gets the thumbs up, we'll finalise any last details and look forward to you joining our team.