Staff Software Engineer - Machine Learning in Islington

Staff Software Engineer - Machine Learning in Islington

Islington Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Capital One UK

At a Glance

  • Tasks: Lead ML/AI strategies and drive innovation across teams to enhance customer experiences.
  • Company: Join Capital One, a leader in tech-driven banking solutions.
  • Benefits: Enjoy competitive pay, flexible working, and extensive training opportunities.
  • Other info: Be part of a diverse team committed to innovation and inclusion.
  • Why this job: Make a real impact by shaping the future of AI in banking.
  • Qualifications: Expertise in Python, ML engineering, and cloud platforms required.

The predicted salary is between 80000 - 100000 £ per year.

We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs.

What You'll Do

  • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption.
  • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy.
  • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities.
  • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business.
  • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines.
  • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery.
  • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners.
  • Represent Capital One in external ML/AI technical forums, contributing to industry discussions.
  • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems.
  • Actively mentor and develop engineers, fostering a culture of continuous learning.

What we're looking for

  • Deep expertise in Python and ML engineering.
  • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures.
  • Track record of leading ML/AI technical initiatives across multiple teams.
  • Strong experience with cloud platforms (AWS, Azure, GCP).
  • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG).
  • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems.
  • Experience designing and scaling low-latency, customer-facing ML/AI architectures.
  • Proven experience setting a multi-team ML/AI technical vision and strategy.
  • Strong track record of technical leadership and influence without authority.
  • Experience driving ML engineering standards and best practices across organisations.
  • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems.
  • Experience leveraging enterprise platforms to deliver business use cases at scale.
  • Experience of steering Communities of Practice or technical forums.
  • Strong business acumen and ability to translate ML/AI concepts for various audiences.

Where and how you'll work

This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays.

What's in it for you

Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation. We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave. Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

  • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies.
  • OutFront - to provide LGBTQ+ support for all associates.
  • Mind Your Mind - signposting support and promoting positive mental wellbeing for all.
  • Women in Tech - promoting an inclusive environment in tech.
  • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry.
  • Enabled - focused on supporting associates with disabilities and neurodiversity.

Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact. All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One's recruiting process, please send an email to.

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Staff Software Engineer - Machine Learning in Islington employer: Capital One UK

At Capital One, we pride ourselves on being an exceptional employer, particularly for our Staff Software Engineer - Machine Learning role based in London. Our hybrid working model promotes flexibility while fostering a collaborative environment, and we invest heavily in employee development through our Capital One University training programmes. With a strong commitment to diversity and inclusion, along with competitive benefits such as generous holiday entitlement and private medical insurance, we create a supportive workplace where innovation thrives and every associate can grow their career.

Capital One UK

Contact Details:

Capital One UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Software Engineer - Machine Learning in Islington

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors you didn’t even know existed.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your ML projects. It’s a great way to demonstrate your expertise and passion for the field.

Tip Number 3

Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practice makes perfect, so consider mock interviews with friends.

Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at Capital One.

We think you need these skills to ace Staff Software Engineer - Machine Learning in Islington

Python
ML Engineering
MLOps
Cloud-native Architectures
AWS
Azure
GCP

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Software Engineer role. Highlight your experience with Python, ML engineering, and any relevant projects that showcase your skills in AI and MLOps.

Showcase Your Technical Expertise:Don’t hold back on your technical skills! We want to see your deep expertise in ML/AI systems design and cloud platforms. Mention specific frameworks you've worked with, like PyTorch or TensorFlow, to really stand out.

Demonstrate Leadership Experience:Since this role involves leading ML engineering efforts, share examples of how you've influenced teams or driven technical initiatives in the past. We love seeing candidates who can inspire and mentor others!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!

How to prepare for a job interview at Capital One UK

Know Your ML/AI Stuff

Make sure you brush up on your knowledge of machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with MLOps and cloud platforms, as these are crucial for the role. Prepare examples of how you've led ML initiatives in the past.

Showcase Your Leadership Skills

This role requires strong technical leadership, so think about times when you've influenced teams without direct authority. Be prepared to share specific examples of how you've driven technical strategies and fostered collaboration across multiple teams.

Understand the Business Side

Capital One values business acumen, so be ready to explain how your technical decisions have impacted business outcomes. Think about how you've translated complex ML concepts for non-technical stakeholders and how that has benefited the organisation.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the company's mission and culture. Inquire about their approach to responsible AI practices or how they manage technical debt in ML systems. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.