Machine Learning Engineer

NLP PEOPLE; Wythenshawe; Hybrid; GBP 87,000 - 98,000; Full time

Job summary

A leading financial institution is seeking a Machine Learning Engineer to develop and maintain ML systems in Python. This role emphasizes collaboration with data scientists and supports incident management. The ideal candidate will have a strong understanding of Python's data stack and experience with large datasets. The position offers a hybrid working model and a comprehensive benefits package, along with opportunities for continuous learning and development.

Benefits

Comprehensive health and wellbeing programme

Generous pension scheme

Flexible work arrangements

Opportunities for continuous learning

Qualifications

• Clear understanding of data structures, algorithms, design patterns, and core programming concepts.
• Experience with the core Python data stack in a commercial setting.
• Demonstrable understanding of Python testing frameworks and source control.
• Experience working with large data sets to deploy scaled ML models.
• Commercial experience across the full software development lifecycle.
• Exposure to GCP cloud tooling is highly desirable.

Responsibilities

• Develop and maintain end-to-end ML systems in Python with data scientists.
• Maintain and refine high-quality, reusable data and ML pipelines.
• Play a leading role in incident management and resolution.
• Collaborate to develop and implement new solutions.
• Promote high-quality ML practices and technical leadership.
• Deliver in line with data science and risk management policies.

Skills

Data structures

Algorithms

Software design

Python (Pandas, NumPy, Scikit-learn)

CI/CD

Machine Learning systems deployment

GCP cloud tooling

Job description

Company

Lloyds Bank plc

Job Title

Machine Learning Engineer

Salary

£70,900pa to £107,000pa (dependent on location and experience) plus an extensive benefits package. Salary range: £87,552 – £97,280.

Location

London, Bristol, Manchester, Chester.

Hours

35 hours, full time.

Working Pattern

Hybrid: at least two days per week (40% of your time) at a hub.

Key Activities

• Develop and maintain end‑to‑end ML systems in Python alongside our data scientists, including engineering new features and providing expert ML input.
• Maintain and refine high‑quality, reusable data and ML pipelines at scale.
• Play a leading role in incident management and resolution, working closely with the strategic platform team and business partners.
• Collaborate to identify, develop and implement new solutions that deliver customer and business value.
• Promote high‑quality ML practices while maintaining an effective control environment, sharing knowledge with others and offering technical leadership or support as needed.
• Seek opportunities to improve solutions and present concrete plans to deliver these.
• Deliver in line with LBG data science, model governance and risk management policies and procedures, maintaining constructive relationships with specialist colleagues in these areas.
• Grow your capability by pursuing and investing in personal development opportunities.
• Keep up‑to‑date with emerging developments in data science, ML engineering and MLOps, and proactively share findings with the team.

About You

We’re looking for candidates with the following knowledge, experience and capabilities:

• Computer science fundamentals: clear understanding of data structures, algorithms, software design, design patterns and core programming concepts.
• Experience with the core Python data stack (Pandas, NumPy, Scikit-learn, etc.) developed in a commercial setting, appreciation of pipeline orchestration frameworks (e.g., Airflow, Kubeflow Pipelines), applied knowledge of statistical modelling and/or experience in implementing and supporting ML systems.
• Demonstrable understanding of key concepts including Python testing frameworks, CI/CD, source control, etc.
• Experience working with large data sets and data platforms to deploy scaled ML models in a live environment.
• Commercial experience across the full software development lifecycle, from experimentation through to live production.
• Exposure to GCP cloud tooling (e.g., Vertex AI, BigQuery) is highly desirable.
• Sound understanding of and a desire to learn about retail banking and how to apply your technical skills in this area.

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 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. We are disability confident and welcome applications from under‑represented groups. We are committed to creating a values‑led culture and building a workforce that reflects the diversity of the customers and communities we serve. We offer a range of benefits including a comprehensive health and wellbeing programme, generous pension scheme, flexible work arrangements and opportunities for continuous learning and development.

If you are excited by the thought of becoming part of our team, get in touch.