Machine Learning Engineer

End Date

Thursday 19 December 2024

Salary Range

£68,202 - £75,780

We support flexible working – click here for more information on flexible working options

Flexible Working Options

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Job Description Summary

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Job Description

JOB TITLE: Machine Learning Engineer

SALARY: The salary banding for this role is £68,000pa to £83,300pa plus the benefits listed below.

LOCATION: Manchester

HOURS: 35 hours, full time

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Manchester site.

Here at Lloyds Banking Group, we put our customers at the heart of everything we do, and every colleague has an important part to play. 

This role is in the Smarter Journeys Lab, an integral part of the amazing Colleague Channels Platform.  The mission of this Lab is to innovate and enhance customer journeys and drive growth through cutting-edge solutions. The Lab's diverse product range includes creating exceptional digital experiences for our customers, such as Fraud Self Service, and optimising colleague efficiency through Diary Management and Workforce Planning. We take pride in our strong culture, with a key focus on inclusivity, innovation, and continuous learning. We are committed to leveraging AI and Automation to deliver significant value to both customers and the business. In 2024, we are in the process of delivering two of the Bank’s pioneering AI products: transforming the Complaints journey and developing a group-wide Knowledge Management solution. 

Looking ahead to 2025, we are expanding our use of this technology in Outcome Testing, a critical component of our control environment. This presents an exciting opportunity to enhance customer value by increasing assurance, becoming more data-driven, and utilising predictive, leading-edge technology. We are passionate about being northern-based and putting the North on the map for LBG.

About you

• Strong analytical and problem-solving skills to tackle complex data challenges. 

• Proficiency in Python, R, or C++. 

• Knowledge of supervised, unsupervised, and reinforcement learning algorithms. 

• Skills in data cleaning, normalization, and transformation. Strong ability to uncover insights from data (EDA). 

• Knowledge of NLP techniques and tools. Deep understanding of neural networks and deep learning architectures 

• Experience with popular libraries like Transformers, TensorFlow, PyTorch, Scikit-learn, Keras, etc. 

• Ability to evaluate models using metrics like accuracy, precision, recall, F1 score, etc. 

• Skills in model deployment, monitoring, and maintenance (MLOps). 

• Ability to explain complex concepts to non-technical stakeholders. 

• Understanding of software development principles, version control (e.g., Git). 

Desirable Skills 

• Up-to-date with the latest research and advancements in machine learning. 

• Knowledge and experience of working in heavily regulated environments (e.g., finance). 

• Strong understanding of linear algebra, calculus, probability, and statistics. 

• Experience with AWS, Google Cloud, or Azure for deploying machine learning models. 

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from underrepresented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes:

• A generous pension contribution of up to 15%.

• An annual performance related bonus.

• Share schemes including free shares.

• Benefits you can adapt to your lifestyle, such as discounted shopping.

• 30 days' holiday, with bank holidays on top.

• A range of wellbeing initiatives and generous parental leave policies.

Want to do amazing work, that's interesting and makes a difference to millions of people? 

Join our journey.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks.  We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. 

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.