Software Engineer - Machine Learning

Lloyds Banking Group; London; Hybrid; GBP 81,000 - 92,000; Full time

Job summary

A leading bank is seeking a Software Engineer to join their Machine Learning as a Service lab in London. The role involves designing and operating ML platforms, utilizing DevOps practices, and working with cloud technologies. Candidates should have a strong technical background, particularly in Google Cloud and automation tools. The position offers a hybrid working pattern and a comprehensive benefits package, including a generous pension contribution and performance-related bonuses.

Benefits

Generous pension contribution of up to 15%

Annual performance-related bonus

Share schemes including free shares

30 days’ holiday, with bank holidays on top

Range of wellbeing initiatives

Qualifications

• Strong technical background in software engineering.
• Experience with DevOps tooling and Google Cloud Platform.
• Ability to build strong relationships and solve real-world problems.

Responsibilities

• Automate software and infrastructure delivery using Terraform and Python.
• Build and improve an ML cloud platform on GCP.
• Support Data Science teams in productionising their models.

Skills

DevOps tooling

Google Cloud Platform

Terraform

Python

Containerisation

Job description

JOB TITLE: Software Engineer

SALARY: £81,999 - £91,110

LOCATION: London

HOURS: Full-time- 35 hours per week

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week at our London hub.

About this opportunity

In the Machine Learning as a Service lab, we design, build, and operate the bank's Machine Learning, Data Science, and Analytics platforms. Our work includes software engineering, platform engineering, DevOps, automation, and tooling.

We're a friendly group of people with a huge passion for all things Data and Artificial Intelligence. We come from diverse backgrounds, but we all share a vision of the untapped potential of human and machine intelligence.

We aim to make the bank of the future safer, faster, and more effective. We're realizing a future where machine intelligence alleviates repetitive manual effort and instead provides insight and direction to our colleagues, empowering them to achieve more with less effort.

What follows is what you might find yourself doing on an average day in our teams, but your experience will depend on the team's needs as well as your own aspirations. Our goal is to help you develop in a way that fulfils you and create an environment where you can do what you enjoy.

• Practice scrum in a small engineering team within our Lab.

• Automate software and infrastructure delivery with technologies like Terraform, Python, Jenkins, Harness, and Cloud Build.

• Build and improve an ML cloud platform on GCP.

• Gain exposure to native Google tooling including GKE, BigQuery, Vertex AI, Cloud Build, and more.

• Build, test, and deploy customised Workbench Instances.

• Build scalable software using Python.

• Support Data Science teams to productionise their models on GCP.

• Innovate by discovering new tools, methods, and approaches.

• Use your knowledge and experience to help shape our overarching strategy.

• Coach other engineers and steer the design of our software.

Why Lloyds Banking Group

We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive

What you’ll need

We believe that people don't fit neatly into roles, and we value everyone's individual skills, experience, and knowledge — it's what makes you amazing! So if you have a strong technical background, we'd like to hear from you.

Specifically we're looking for:

• technical knowledge of DevOps tooling, including continuous integrationtooling pipelines and containerisation

• solid knowledge of the Google cloud platform with specific experience in integrating and deploying the Vertex AI components

• experience with GKE, BigQuery, Cloud Build and Harness

• demonstrable knowledge of terraform and Python

• the ability to build strong relationships and demonstrate a passion forsolving real-world problems with technology

About working for us

Our focus is to ensure we’re inclusive every day, building an organisationthat reflects modern society and celebrates diversity in all its forms. We’recommitted to creating a consciously inclusive workplace where ourcolleagues can be themselves, thrive and perform at their best.

We were one of the first major organisations to set goals on diversity insenior roles, create a menopause health package, and a dedicatedWorking with Cancer Initiative.

As an inclusive employer, we offer Workplace Adjustments for colleagueswith a disability (which may include long-term health and neurodivergentconditions) where it is reasonable to do so. This could include flexibilitywith regards to office attendance, location, and working pattern.

We're proud to be a Disability Confident Leader. If you have a disability,you can also apply via our Disability Confident Scheme (DCS). Through theDCS, we guarantee to interview a fair and proportionate number of
applicants with a disability, whose application meets the minimum criteriafor the advertised job role.

We also provide adjustments that are reasonable throughout therecruitment process to reduce or remove barriers for applicants with adisability, long-term health condition or neurodivergent condition. If you’dlike an adjustment to the recruitment process 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 asdiscounted shopping
• 30 days’ holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parentalleave policies

If you’re excited by the thought of becoming part of our team, get in touch. We’d love to hear from you.