Machine Learning & AI Engineer, Lloyds
£90.4-117k
+ annual performance-related bonus and share schemes including free shares
2 days a week in office (Wellington Place, Leeds)
Retail and commercial bank
Be an early applicant
Retail and commercial bank
1001+ employees
Be an early applicant
£90.4-117k
+ annual performance-related bonus and share schemes including free shares
2 days a week in office (Wellington Place, Leeds)
1001+ employees
Company mission
To support families and businesses, helping them to take the next step, whatever that may be.
Role
Who you are
- Passion for Machine Learning & AI, adopting the mindset of a curious engineer
- A senior technical lead, who takes ownership of deliveries within a Feature Team and is willing to help grow and guide engineers to form successful teams
- Ability to understand complex business requirements and create business ready solutions
- Strong interpersonal, communication and influencing skills, particularly the ability to convey business information arising from technical subject matter to non-technical people
- A change mindset, helping to improve and support policies, processes, standards and practices
Desirable
- Insights into industry solutions for data management, storage, and analytics
- Experience of working within regulatory change would be advantageous, including Credit Risk, capital and impairment processes
- Experience of line management
What the job involves
- Leads the desigining of patterns, tooling, and templates to rapidly and efficiently deploy models into production. Scales AI/ML solutions on strategic infrastructure and integrating them into existing systems. Acts as a point of technical expertise and thought leadership, and provides line management and/or coaching to grow team capability
- We’re looking for a strategic and technically minded Machine Learning & AI Engineer to join our Homes Platform AI Team
- As a Lead Machine Learning & AI Engineer, you will use your knowledge of key software development best practices, Python testing frameworks, CI/CD, and source control to develop end-to-end machine learning systems in Python
- You will productionize machine learning pipelines that implement data science solutions to the bank’s data problems, ensuring they are scalable and efficient
- Leading the team to help design and implement machine learning models and algorithms
- Develop and maintain scalable ML pipelines and infrastructure
- Collaborate with data scientists to understand model requirements and translate them into technical solutions
- Optimize models for performance and accuracy
- Deploy and monitor ML models in production environments
- Troubleshoot and resolve issues related to ML systems
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 – including for its handling of PPI complaints in 2015, and the 2009 European Commission ruling that forced it to part ways with TSB – but it has nonetheless stood the test of time and worked to build back its public reputation in the wake of these setbacks.
Of the company’s 26 million customers, over 18 million of them are online, making it the largest UK digital bank. 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 current 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.
Recently, Lloyds Bank has shown great interest in facilitating innovation in the industry, joining as a partner on FinTech Action Labs (a FinTech accelerator programme) to bring its industry expertise to early-stage FinTechs. As well as investment in digital transformation and AI, the company is enhancing its wealth product and corporate banking offerings, 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, not founder)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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