Machine Learning Engineer

JOB TITLE: Machine Learning Engineer – Colleague Channels Platform

SALARY: £68,202 - £75,780

LOCATION(S): Manchester

HOURS: [Full-time]

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

About this opportunity…

Are you searching for an outstanding opportunity to lead and innovate in the world of Artificial intelligence? At Lloyds Banking Group, we are seeking an ambitious and proven Machine Learning Engineer to join our dynamic team in Manchester. This role offers the chance to influence the way we craft, build, test, and deploy using brand new technology.

We are the Smarter Journeys Lab, an integral part of the amazing Colleague Channels Platform.

Our mission is to innovate and enhance customer journeys and drive growth through cutting-edge solutions. Our 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. Join our feature team and Lloyd’s engineering team to implement innovative solutions and advance product development.

About us…

Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you will too…

What you’ll do…

• Design, develop, and deploy machine learning models to solve complex business problems.

• Analyse large datasets to extract meaningful insights and identify patterns. Optimize machine learning algorithms for performance and scalability.

• Stay updated with the latest advancements in machine learning and incorporate new techniques into projects.

• Work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into products.

• Mentor junior engineers and data scientists, providing guidance and support in their professional development.

• Conduct code reviews to ensure high-quality code and adherence to best practices.

• Maintain comprehensive documentation of models, algorithms, and processes.

• Monitor and evaluate the performance of deployed models, making necessary adjustments to improve accuracy and efficiency.

What you’ll bring…

We are looking for a seasoned and adaptable individual who can thrive in a fast-paced environment and is eager to learn new skills and technologies. The ideal candidate will possess:

Required Skills:

• 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. 

About working for us…

Our focus is to ensure we are 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 is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would 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

Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more.

Join our journey.