Staff Software Engineer - Machine Learning in London
Compensation
Not disclosed
Location
London, GB
Work setup
Hybrid
Seniority
Staff
Employment
Full time
Experience
Not specified
Category
Ml / AI
Posted
Skills
agentic-ai
ai
ai-enablement
aws
azure
ci-cd
cloud
data-pipelines
data-science
gcp
generative-ai
langchain
langgraph
machine-learning
mlops
python
pytorch
rag
scikit-learn
solution-design
tensorflow
test-automation
Must have
Deep expertise in Python and ML engineering
Deep expertise in ML/AI systems design, MLOps, and cloud- 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
Full description
Job Description
White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning
About this role
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- architectures
Track record of leading ML/AI technical initiatives across multiple teams
Strong experience with cloud platforms (AWS, Azure, GCP)
Staff Software Engineer - Machine Learning in London at Energy Jobline ZR (London, GB) — aijobsearch
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 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 - Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority groups and allies
OutFront - to provide + 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 associates and allies focusing on developing future leaders, particularly for talent in our industry
Enabled - focused on supporting associates with disabilities and neurodiversity
Capital One is committed to 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).
You could be just the right applicant for this job Read all associated information and make sure to apply.
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. xohmjla Together, we are on a quest to change banking for good.