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- Tasks: Join our Data Delivery Team as an ML Ops Engineer, enhancing cloud services and data lab environments.
- Company: Aldermore is an award-winning bank, trusted by over a quarter of a million customers for over a decade.
- Benefits: Enjoy a flexible culture, competitive salary, and a range of core benefits including hybrid working options.
- Why this job: Be part of a growing organisation that values continuous improvement and empowers your career development.
- Qualifications: Experience in ML ops, SQL, Python, AWS, Azure, and strong analytical skills are essential.
- Other info: We champion diversity and welcome applicants from all backgrounds.
The predicted salary is between 48000 - 72000 £ per year.
The Vacancy
Let us tell you a bit about the opportunity
We\’re investing in our Data capabilities and have a newly created opportunity for an experienced ML Ops Engineer to join our Data Delivery Team. As a ML Ops Engineer within our Chief Data Office, you\’ll play a key role in taking our data and technology strategy to the next level by enabling our cloud services for use across all our business use cases.
In this specialist role you\’ll work closely with both data delivery and data science teams to enable AWS and Azure environments as required by the various programmes. You\’ll support with the setup, maintenance and enhancement of data lab environments and the enablement of new tooling for data science and other use cases. You\’ll also be empowered to support in the automated deployment and maintenance of data science and other cloud native functionality through dev to production environments
What will your day look like?
• Design and Deliver cloud based platforms on both AWS and Azure
• Own and drive the enablement of data lab environment(s) for use in data science, enabling new tooling as required by the team
• Management and promotion of data science models to higher environments
• Deployment and maintenance of wider cloud services for foundational capabilities (databases, ETL tooling, storage etc)
• Collaborate with business and technical teams to agree services required and enable them with clear communications of status, and usage
• Continuously explore new data analytics techniques and tools to improve efficiency and analytical capability within the team.
What do we expect from you?
• ML ops experience essential
• Proficiency in SQL, and Python or similar programming languages for data analysis and manipulation.
• Cloud engineering experience with AWS and Azure
• Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse with an understanding of automated Terraform deployment methods
• Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation
• Expertise in data visualization tools, including Tableau (nice to have), Power BI (nice to have), and Excel (must have).
• Exceptional communication and collaboration skills to work effectively with cross-functional teams.
• Familiarity with banking products, services, and regulatory frameworks is advantageous.
What can you expect from us?
• A friendly and flexible culture, the same as how we work with our customers.
• A growing organisation that means there\’s lots of opportunities to progress
• A drive for continuous improvement, which you will be empowered to get behind from day one.
• And of course, you will be rewarded competitively, with a good range of core benefits and bonus potential.
Let us tell you a bit more about us
We\’re Aldermore – the award-winning bank, trusted and highly rated by over a quarter of a million customers for more than a decade. With our range of specialist mortgages, savings accounts and business finance solutions, we\’re backing more people to go for it.
We thrive by saying \”yes\” to our customers. We respect the ingenuity of entrepreneurs and their startups; we give first-timers a leg-up onto the property ladder; we open up the lending market to many; and thousands of customers chose Motonovo Finance every week to buy their next car, van or motorbike.
This is where you come in. We are on a journey. A journey defined by a destination; to deliver on our purpose.
Still curious?
Join us and we\’ll make the same promises to you as a colleague, as we do to each of our customers. We\’re committed to building a working environment that values respect, diversity, and compassion. We welcome people regardless of age, disability, gender identity, marital status, race, faith or belief, sexual orientation, socioeconomic background, and whether you\’re pregnant or on family leave.
Please note that we have a thorough referencing process, which includes criminal record checks
The Company
We champion equality by supporting the exceptions to the rule and getting finance to where it\’s needed.
We lend the money people save with us, to people who want to get on in life; build businesses and create employment, buy property for people to live and work in, and purchase vehicles to move families and goods around.
Behaviour Framework
Our behavioural framework underpins our purpose and strategic drivers, as it outlines the behaviours we need to demonstrate in order to succeed. Where our strategic drivers (Stay Ahead Propositions, Relationships That Last and Progressive Platform) outline what we need to do to succeed, our behaviours guide us in how. In your second interview, we\’ll ask you to talk through some examples where you\’ve demonstrated these behaviours in your previous roles.
The Benefits
As you would expect, we offer a competitive basic salary and reward package, and you\’ll also benefit from our commitment to investing in your professional development throughout your journey with us.
Benefits vary across the business depending on the role you do, but these will give you an idea of what to expect:
Your Company Benefits
- Discretionary bonus scheme
- Aviva Digital GP
- Bus And Tram Benefit
- Employee Assistance Programme
- Eyecare Voucher & Display Screens/Desk Set-Up
- Flu Jab Vouchers
- Group Income Protection
- Life Assurance
- Metrolink Annual Pass & Clipper Ticket
- Microsoft Discounts
- Private Medical Insurance Shopping Discounts
- Toothfairy
- Your Workplace Pension
- Hybrid Working
Benefits You Can Choose
- Critical Illness
- Cycle To Work
- Dental Insurance
- Give As You Earn
- Government Tax-Free Childcare Scheme
- Octopus Electric Vehicles
- Save Our Planet
- Season Ticket Loan
- Spouse Or Partner Life Assurance
- Technology
- Wearable Technology
- Wellbeing App
- Will Writing
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ML Ops Engineer | London, UK employer: Aldermore Bank PLC
Contact Detail:
Aldermore Bank PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Ops Engineer | London, UK
✨Tip Number 1
Familiarise yourself with the specific cloud services mentioned in the job description, particularly AWS and Azure. Understanding their functionalities and how they relate to ML Ops will give you a significant edge during interviews.
✨Tip Number 2
Showcase your experience with automated deployment methods like Terraform. Be prepared to discuss any projects where you've implemented these tools, as this will demonstrate your hands-on expertise in cloud engineering.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are essential for data analysis and manipulation in this role. Consider working on a small project or two that highlights your ability to use these languages effectively.
✨Tip Number 4
Prepare examples of how you've collaborated with cross-functional teams in the past. This role requires strong communication skills, so being able to articulate your experiences will help you stand out as a candidate.
We think you need these skills to ace ML Ops Engineer | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your ML Ops experience, proficiency in SQL and Python, and cloud engineering skills with AWS and Azure. Use specific examples from your past roles that demonstrate your ability to design and deliver cloud-based platforms.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job requirements, particularly your experience with data lab environments and automated deployment methods. Show that you understand the company's mission and values.
Highlight Relevant Projects: If you've worked on projects involving data science models or cloud services, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved. This will showcase your practical experience and problem-solving skills.
Prepare for Behavioural Questions: Since the company values certain behaviours, think of examples from your previous roles that demonstrate these traits. Be ready to discuss how you've collaborated with cross-functional teams and contributed to continuous improvement initiatives.
How to prepare for a job interview at Aldermore Bank PLC
✨Showcase Your ML Ops Experience
Make sure to highlight your previous experience in ML Ops during the interview. Be prepared to discuss specific projects where you successfully implemented cloud services, particularly on AWS and Azure, as this is crucial for the role.
✨Demonstrate Technical Proficiency
Brush up on your SQL and Python skills before the interview. You might be asked to solve a problem or explain how you would manipulate data using these languages, so having examples ready will impress the interviewers.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with AWS Redshift and Azure Synapse, ensure you understand their functionalities and how they can be used in data analytics. Being able to discuss your experience with automated Terraform deployment methods will also be beneficial.
✨Prepare for Behavioural Questions
The company values collaboration and communication, so be ready to provide examples of how you've worked effectively in cross-functional teams. Think of situations where you demonstrated the behaviours outlined in their framework, as these will likely come up in the second interview.