Senior Machine Learning Engineer, Lloyds
$84.2-93.5k
+ An annual performance-related bonus + Share schemes including free shares
2 days a week in office (London Wall, London)
Retail and commercial bank
Job no longer available
Retail and commercial bank
1001+ employees
Job no longer available
$84.2-93.5k
+ An annual performance-related bonus + Share schemes including free shares
2 days a week in office (London Wall, London)
1001+ employees
Company mission
To support families and businesses, helping them to take the next step, whatever that may be.
Role
Who you are
- Hands on Machine Learning experience in industry
- An MLOps mindset, striving to make every step of the Machine Learning lifecycle maintainable and robust
- Strong Software Engineering and Data Engineering underpinnings with a working understanding of Batch vs Streaming systems and deploying Machine Learning as a service via REST/RPC
- Cloud experience on at least one provider (GCP, aws, Azure) and an ability to join up separate services to create working systems
- Experience with a DAG based ML orchestration tool (i.e Kubeflow)
- Experience automating repetitive tasks such as data validation and model monitoring
- Strong leadership skills, using empathy, clarity and challenge to support your team to be their best
- Strong communication skills with an ability to adapt style for different audiences
Desirable
- Hands on experience with GCP especially Vertex AI and BigQuery
- Experience with PySpark
- Experiencing working with Data Mesh principles
- Past experience with Infrastructure-as-code (Terraform)
- Past experience deploying deep learning models, built with PyTorch/Tensorflow, to production
- Experience with either Graph ML or GenAI
What the job involves
- A fantastic opportunity has arisen for a Machine Learning Engineer to work within the Economic Crime Prevention Platform helping productionise and maintain models impacting millions of people every day
- In the Economic Crime Prevention (ECP) Platform, our mission is to reduce harm to our communities by enhancing the Group's capability to prevent, detect and respond to economic crime
- The Platform sits within Consumer Relationships and plays a critical role in providing services across the whole Group
- Building and deploying impactful, maintainable and robust Machine Learning solutions into production
- Work hand in hand with our Data Scientists fostering a test and validate mentality
- Collaborate with the Economic Crime Prevention Data platform ensuring trusted sources of data are available for our models
- Solutionise the deployment of various different models on a use case by use case basis
- Collaborate closely with the Groups cloud teams in order to feed in Economic Crime Prevention cloud requirements
- Lead small teams of MLEs helping progress the emerging talent within the group
Application process
- End Date: Wednesday 18 September 2024
Salary benchmarks
Our take
Lloyds Bank, part of Lloyds Banking Group, began operations back in 1765 and is nowadays one of the UK’s leading retail and commercial banks. As with many leading banks, the company has dealt with its share of controversy, but it has nonetheless stood the test of time and worked to build back its public reputation in the wake of these setbacks.
As part of its ongoing digital transformation, the company is seeking to put the cloud at the front of its services and systems, and has cited intentions to invest heavily in overhauling its technology infrastructure. All this seeks to serve the modern banking customer, and to compete with the fast-increasing number of alternative banking options appearing on the market.
On top of this, Lloyds Bank has shown great interest in facilitating innovation in the industry, joining as a partner on "FinTech Action Labs" to bring its industry expertise to early-stage FinTechs. The company continues to enhance its online and mobile services (it is the UK's biggest mobile bank), as well as expanding its partnerships with digital banking companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Company benefits
- Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
- A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
- A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
- Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
- Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
- Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
- Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
- Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
- Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our 'Your Tomorrow' scheme. You can decide how much you save and get a say in where your contributions are invested.
Company HQ
City of London, London, UK
Leadership
Charlie Nunn
(Group Chief Executive)Spent nine years at HSBC, including as Group Head of Wealth Management and Digital, and as CEO of Wealth and Personal Banking.
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