End Date
Wednesday 09 October 2024Salary Range
£86,964 - £102,310We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job ShareJob Description Summary
Lead Machine Learning Engineer responsible for leading the MLE function within our Data Science & AI Centre of Excellence.Job Description
JOB TITLE: LEAD MACHINE LEARNING ENGINEER
SALARY: £86,900pa to £125,000pa (Dependant on depth of experience and location) plus the benefits listed below
LOCATIONS: Bristol or London
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 one of our office sites
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. Data Science and Artificial Intelligence form a key part of our strategy, and as a lead Machine Learning Engineer you will be contributing the largest ever transformation in this history of financial services. With 30 million + customers, millions of transactions and 70 thousand colleagues, we have some of the largest datasets in the UK. This combined with our focus in areas such as Gen AI and AI Ethics mean you’ll be working at the forefront of Data Science in the banking industry.
Want to hear more?
The successful candidate for this role will lead the Machine Learning Engineering function within our Data Science & AI Centre of Excellence. The CoE works with Business Units and Group functions across LBG to drive its continued use and adoption of Data science and AI (including GenAI). This is a key technical leadership role within the team – responsible for defining and delivering best practice MLE patterns within our Enterprise ML platform on Google Cloud.
As a lead Machine Learning Engineer, you’ll perform the following activities:
Use expert knowledge of key software development best practices and Python testing frameworks, CI/CD and source control to lead the development of end-to-end machine learning systems in Python
Use awareness of the latest industry developments to shape the strategy of Machine Learning Engineering at LBG
Act as a point of technical expertise for data science and AI practitioners across the Group
Lead, coach and mentor a team of Machine Learning Engineers, taking ownership for the quality of outputs and providing guidance in solving the most complex problems.
Collaborate with teams across the data and technology job families to help drive the Data Science agenda
Communicate with business stakeholders to explain technical concepts in meaningful ways, helping to demonstrate the value of Data Science and how to can be used to benefit the organisation
About you
We're keen to speak with candidates who have demonstrable experience in data science, machine learning or software engineering as well as experience in leading technical delivery, managing stakeholders and influencing at senior levels. In particular, candidates with:
Machine Learning Engineering- The ability to apply ML specific design patterns and work with dedicated ML service/infrastructure, to develop resilient and scalable ML systems with reproducible outputs. This includes ML pipeline composition and orchestration, data and model versioning, backtesting and model monitoring.
Python- A good understanding of Python including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas; a familiarity with unit testing.
Software Engineering- The ability to apply software engineering best practices to deploy ML models into production reliably and efficiently, following the principle of test driven development. This requires use of a CICD toolkit and the ability to automate ML pipelines with robust test coverage and monitoring.
Cloud Technologies- The ability to work with Cloud Technologies efficiently (e.g. Google Cloud Platform), which include a variety of services including storage, compute engine, VPC, Kubernetes, AI services and APIs, for data collection, exploration, visualisation and modelling. Experience of GCP services and VertexAI is advantageous, as is an understanding of infrastructure as code.
We're particularly keen to hear from individuals who have a track record of delivering data science/ machine learning projects within commercial environments. For example, those with experience of having successfully industrialised and delivered data science solutions for large scale industry applications
Other Key Skills
Agile Delivery
Data Privacy, Ethics & Security
ML/AI Risk & Governance
Machine Learning
Deep Learning
Statistics & Advanced Analytics
About working for us
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're committed to creating a consciously inclusive workplace where our colleagues can be themselves, thrive and perform at their best. 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. As an inclusive employer, we offer Workplace Adjustments for colleagues with a disability (which may include long-term health and neurodivergent conditions) where it is reasonable to do so. This could include flexibility with regards to office attendance, location, and working pattern.
We are proud to be a Disability Confident Leader. If you have a disability, you can also apply via our Disability Confident Scheme (DCS). Through the DCS, we guarantee to interview a fair and proportionate number of applicants with a disability, whose application meets the minimum criteria for the advertised job role. We also provide adjustments that are reasonable throughout the recruitment process to reduce or remove barriers for applicants with a disability, long-term health condition or neurodivergent condition. If you'd like 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 as discounted shopping
30 days' holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
If you're excited by the thought of becoming part of our team, get in touch.
We'd love to hear from you!
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.
We're changing financial services, and we want you to join us.
We're the UK's largest financial services group, with our 25 million customers and a history stretching back more than 300 years.
We pride ourselves on creating a great environment for colleagues to work in, one which is inclusive and driven by our values. This is critical to our business success as we know that colleagues who can show up to work as themselves are those that bring their best.
We're an inclusive and open organisation with a scale that creates a vast range of roles and opportunities. We offer a plenty of options for continual personal growth and you'll be part of a culture which embraces diversity of talent, creativity, skills and thinking among our teams.
Workplace Initiatives
Opportunities for people returning from a career break |
Yes our Returner opportunities offer a career path to candidates with a 18 month year break in their career’ with ‘Yes, our Returner opportunities are aimed at candidates who have had a 18 month or more career break |
Leadership development programmes? |
Yes |
Mentoring programmes? |
Yes |
Coaching programmes? |
Yes |
Employee-led diversity networks? |
Yes |
Internal women’s networking groups? |
Yes |
Open to discussing flexible work arrangements at interview stage? |
Yes |
No. of weeks paid maternity leave at full salary: |
20 weeks based on full pay + 19 weeks at the current statutory maternity pay rate |
Minimum weeks tenure required to be eligible for paid maternity leave: |
No qualifying service period |
No. of weeks paid paternity leave at full salary: |
6 weeks |
Minimum tenure required to be eligible for paid paternity leave: |
No qualifying service period |
Gender pay gap reporting information (insert year) (UK): 2022 |
|
Average pay gap: |
30.5% |
Median pay gap: |
33.6% |
Average bonus gap: |
62.5% |
Median bonus gap: |
69.5% |
Signatory of the UK Women in Finance Charter? |
Yes |
Targets to raise the number of women in leadership? |
Yes |
Targets to raise the number of BAME individuals in leadership? |
Yes |
Listed in the Bloomberg Diversity & Inclusion Index? |
Yes |
Flexible Working Policy
We take pride in being a leader in flexibility and offer a wide array of flexible working options for different circumstances. How you work and the options available will depend on the role you're in, but we aim to offer the flexibility needed by everyone.
For many of our office-based roles, we work in hybrid ways, which involves spending at least two days per week or 40% of their time at one of our office sites. Dependent on your role, other flexible options may be available, such as part-time or compressed hours, complete home-working or job share. ‘Find out how flexible working can work for you’.
Flexible Working Policy
We take pride in being a leader in flexibility and offer a wide array of flexible working options for different circumstances. How you work and the options available will depend on the role you're in, but we aim to offer the flexibility needed by everyone.
For many of our office-based roles, we work in hybrid ways, which involves spending at least two days per week or 40% of their time at one of our office sites. Dependent on your role, other flexible options may be available, such as part-time or compressed hours, complete home-working or job share. ‘Find out how flexible working can work for you’.
Returner opportunities
Returning to work after time away can be challenging. That’s why we offer Returner opportunities that are designed to assist people returning to work after a career break of 18 months or more and our roles are permanent from the day one. Whether you’ve been away from work due to parenthood, illness, or even travel, we’re looking forward to hearing from you as we continue to grow!
What can you expect?
Coming back into the world of work after a career break can be really daunting – and we therefore know how important flexibility is. We’re very aware that ‘normal’ office hours aren’t always doable, so will happily have the discussion about different working patterns with you.
These roles have been created with your career break in mind, making sure we are there to support you in your transition back to work. You will be brought in on a permanent contract and given meaningful work from day one. Plus, you’ll be paired with a buddy or mentor from your team to help guide you along the way. You’ll also benefit from being part of the wider Returners Community and have the chance to create a personal development plan that works for you.
Who are we looking for?
While banking or professional services experience is desirable, especially for some roles, we care more about the transferable skills you can bring to our business.
Testimonials
I had a good network of colleagues already working for Lloyds Banking Group, who were all very passionate about their roles - so it felt the right choice for me and gave me the courage to apply for a Business Analyst role through the Returners. It was a seamless recruitment experience and I was offered a role in the work I wanted to do.
Olufunke Oladinni, Business Analyst
I love being a Project Manager, and I can’t recommend the Lloyds Banking Group Returners enough. It’ll springboard your career, giving you the best opportunity to relaunch yourself and maximise your full potential.
Justin Pierce, Project Manager