Research Scientist (Machine Learning)

Capital One
Manchester, England
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Research Scientist

PhysicsX London, United Kingdom

Research Scientist, Learning & Cognitive Outcomes

OpenAI London, United Kingdom
Hybrid

Research Scientist (Applied LLMs), London

Isomorphic Labs London, United Kingdom

Research Scientist (Machine Learning), London

Isomorphic Labs London, United Kingdom

Research Scientist (Machine Learning), Lausanne

Isomorphic Labs United Kingdom

Research Engineer/Research Scientist – Model Transparency

AI Security Institute London, United Kingdom
On-site
Posted
26 Nov 2025 (6 months ago)
Overview

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all‑in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. In 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – data publishing, data consumption, data governance, and infrastructure management – we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top‑tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.


Responsibilities

  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy‑in
  • Collaborate on Capital One's toughest issues to deliver on business needs that directly impact the lives of our customers and associates
  • Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
  • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in a unified manner
  • Lead the way in creating next‑generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent

Qualifications

  • Bachelor's Degree
  • At least 7 years of experience in data engineering
  • At least 5 years of experience in data architecture, Masters' Degree
  • 7+ years of experience using Python, Java, Go, and SQL
  • 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
  • 3+ years of experience with Databricks or Snowflake
  • 1+ year of experience deploying machine learning models

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).


Capital One, Capital One is a diversified banking company that offers early and later stage venture, and debt financing investments.


The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer. Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please.


Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.


If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.