data engineer

senior data engineer

associate data scientist

data & development associate Jobs in London

data & development associate

data & operations assistant Jobs in London

data & operations assistant

data operations assistant

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
WWPS Business Operations is seeking a driven and talented Business Operations Analyst to play a critical role within the Worldwide Public Sector Field Sales Operations organization.<br>
<br>
This role will serve as an important point of coordination across WWPS Sales, Business Operations, Finance, technical teams, and other cross-functional organizations. The successful candidate will help develop scalable operational mechanisms, generate actionable business insights, create strategic narratives, and support operating cadences that enable growth across the Worldwide Public Sector organization.<br>
<br>
Additional key focus of the role will be supporting the development, deployment, and adoption of Generative AI solutions that improve operational productivity, data quality, business visibility, and decision-making. The analyst will partner with business and technical teams to identify high-value use cases, automate recurring activities, and scale successful solutions across WWPS.<br>
<br>
Data analysis is central to Amazon&rsquo;s culture, and this role will have a direct impact on business strategy and execution. The analyst will transform complex usage, pipeline, financial, and operational data into clear insights and recommendations for Field Sales Operations, Sales leaders, and senior WWPS leadership.<br>
<br>
Success in this position requires strong analytical capabilities, sound business judgment, excellent communication skills, and the ability to work effectively across multiple organizations. The ideal candidate will be comfortable operating in an ambiguous environment, managing multiple priorities, and translating business requirements into scalable processes, reporting mechanisms, and technology-enabled solutions.<br>
<br>
Key job responsibilities<br>
<ul><li>Analyze usage, pipeline, financial, and operational data to generate insights, identify trends, and support data-driven decision-making.</li></ul><br>
<ul><li>Leverage GenAI to enhance, develop, and maintain dashboards, reports, and recurring metrics to track business performance and support leadership reviews, while driving adoption of GenAI-enabled reporting and analytics solutions across WWPS.</li></ul><br>
<ul><li>Support business planning and operational cadences, including forecasting, pipeline reviews, and performance reporting.</li></ul><br>
<ul><li>Partner with cross-functional teams to gather requirements and deliver scalable analytical and reporting solutions.</li></ul><br>
<ul><li>Create clear summaries, reports, and narrativees that communicate key findings, risks, and opportunities to stakeholders.</li></ul><br>
<ul><li>Identify opportunities to improve processes, data quality, and operational efficiency through automation and analytical tools, including GenAI-enabled solutions.</li></ul><br>
<ul><li>Support ad hoc analysis and strategic initiatives for Sales and Business Operations teams across WWPS.</li></ul><br>
Basic qualifications<br>
<br>
Experience in finance, business management and sales operations<br>
Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field<br>
Experience with sales CRM tools such as Salesforce or similar software<br>
Experience defining, refining and implementing sales processes, procedures and policies or equivalent<br>
Preferred qualifications<br>
<br>
5+ years of finance, business management and sales operations experience<br>
Experience working within a high-growth, technology company</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience with sales CRM tools such as Salesforce or similar software</li><li>Experience using Microsoft Excel to manipulate and analyze data</li><li>Experience defining, refining and implementing sales processes, procedures and policies or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working within a high-growth, technology company</li><li>Experience in finance, business management and sales operations</li></ul><br>
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Operations Mgr, UKGI AWS SMGS Ops Sales Ops-WWPS

BlackRock

<div>Location: London, England Team: Technology Product Job Requisition #: R266270 Date posted: Aug. 27, 2026</div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p>
<p></p><p><b>About Aladdin Data (AD)</b></p>
<p></p><p>Data is at the heart of Aladdin and increasingly the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for BlackRock and our clients. The Aladdin Data (AD) team is responsible for the firm's data ecosystem, ensuring data can be discovered, trusted, accessed, and used effectively across investment, operations, analytics, AI, and client solutions.</p>
<p></p><p>Our mission is to build and operate the capabilities, governance, and workflows that enable data producers and consumers across BlackRock to efficiently share and leverage high-quality data at scale.</p>
<p></p><p>AD supports four strategic outcomes that together advance BlackRock's data strategy:</p>
<ul><li><p>Deliver high-quality, trusted data products and services that power investment processes, operational workflows, and client solutions.</p>
</li><li><p>Enable data producers to publish and distribute data through a scalable marketplace, making both Aladdin and BlackRock-generated content easily discoverable and consumable.</p>
</li><li><p>Provide well-governed data that fuels AI, analytics, and emerging digital capabilities across the firm.</p>
</li><li><p>Offer common standards, tooling, governance, and reusable services that allow teams to focus on creating business value rather than building bespoke data infrastructure.</p>
</li></ul><p></p><p>The team builds common standards, governance, tooling and reusable services that help data producers publish high-quality data and help consumers find, trust and use it without building bespoke infrastructure.</p>
<p></p><p><b>About this role</b></p>
<p></p><p>We are building the <b>BlackRock Data Office</b> within Aladdin Data to enable trusted, reusable and AI-ready data across Technology &amp; Operations through the firm&rsquo;s Data Marketplace.</p>
<p></p><p>We are looking for a <b>Vice President, Data Product Management</b> to help define, deliver and drive adoption of marketplace capabilities spanning onboarding, governance, stewardship, discovery, access, quality and reusable data products.</p>
<p></p><p><b>Core Responsibilities</b></p>
<ul><li><p><b>Product strategy &amp; roadmap</b> &ndash; Define the vision, roadmap and priorities for marketplace capabilities supporting Technology &amp; Operations.</p>
</li><li><p><b>Delivery &amp; execution</b> &ndash; Translate business and governance needs into product features, measurable outcomes and delivery plans.</p>
</li><li><p><b>Backlog ownership</b> &ndash; Prioritize the roadmap and engineering backlog based on user needs, adoption goals and strategic value.</p>
</li><li><p><b>Stakeholder management</b> &ndash; Partner across Product, Engineering, Operations, Risk, Compliance and business teams to align delivery with priorities.</p>
</li><li><p><b>Adoption &amp; enablement</b> &ndash; Drive onboarding, documentation, demos, release readiness and reuse of marketplace capabilities.</p>
</li><li><p><b>AI &amp; innovation</b> &ndash; Shape capabilities that support AI-ready data, automation and scalable governance.</p>
</li></ul><p></p><p><b>Required Experience</b></p>
<ul><li><p>Bachelor&rsquo;s degree in a technology, data, business or related discipline.</p>
</li><li><p>8+ years in Product Management, Data Product Management, Data Governance or a related discipline.</p>
</li><li><p>Experience delivering enterprise data, governance, stewardship or marketplace capabilities.</p>
</li><li><p>Proven ability to define roadmaps, manage priorities and lead cross-functional initiatives.</p>
</li><li><p>Strong communication, stakeholder management and Agile delivery skills.</p>
</li><li><p>Experience with tools such as Aha!, Azure DevOps, Jira or similar platforms; financial services data experience is a plus.</p>
</li></ul><p></p><p><b>Our benefits</b></p>
<p></p><p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>
<p></p><p><b>Our hybrid work model</b></p>
<p></p><p>BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><br>
<p></p><p><br>
<b>Guidance on AI use for candidates<br>
</b></p><br>
<p>At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided <b>guidance</b> (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.<br>
<br>
</p><br>
<p><b>About BlackRock</b></p><br>
<br>
<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><br>
<br>
<p>This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><br>
<br>
<p>To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).</p><br>
<br>
<p>BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.</p>
</div><div><b>Job Requisition #</b>
<br>
R266270</div></div><p></p>

VP - Data Product Management

Snowflake

<div><p>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.</p><p>
Snowflake is looking for someone with adaptability and aptitude to join the Sales Engineering team and elevate the business whilst proactively supporting our VP of EMEA Sales Engineering. As an Administrative Assistant, you're at the center of the team's business operations and activities and are relied upon to keep the team moving in a positive, forward direction. You are organized, dependable and able to keep up with changing business needs - using your understanding to strategically support and prioritize your team's projects. You also have communication skills needed to interact with a variety of people and job functions including customers, partners and vendors. In this role you will work closely with a team of Administrative professionals and manage the day-to-day operations of the office and help keep teams efficient, happy and productive.</p><p></p><p><b>
RESPONSIBILITIES:</b></p><ul><li><p>
Provide day-to-day administrative support to the SE leadership team.</p></li><li><p>
Support with calendar management, including scheduling meetings and resolving routine conflicts.</p></li><li><p>
Coordinate travel bookings and itineraries.</p></li><li><p>
Prepare and submit expense reports and reimbursements.</p></li><li><p>
Organise meetings, including booking rooms, sending invitations and coordinating logistics.</p></li><li><p>
Maintain and organise team mailing lists, shared folders and Google Drives.</p></li><li><p>
Welcome and support visitors, ensuring they are signed in and directed appropriately.</p></li><li><p>
Respond to routine questions and requests, connecting employees and guests with the appropriate resources.</p></li><li><p>
Maintain accurate administrative records and trackers.</p></li></ul><p></p><p><b>
SKILLS &amp; EXPERIENCE:</b></p><ul><li><p>
1&ndash;2+ years of experience in an administrative, coordination, customer service or office support role.</p></li><li><p>
Strong organisational skills and the ability to manage multiple tasks.</p></li><li><p>
Good communication and interpersonal skills.</p></li><li><p>
Proficient in Google Workspace, including Gmail, Calendar, Docs, Sheets and Slides.</p></li><li><p>
Comfortable creating and formatting basic documents and presentations.</p></li><li><p>
Strong attention to detail and ability to work accurately.</p></li><li><p>
Positive, can-do attitude and willingness to learn.</p></li><li><p>
Able to follow established processes and ask for guidance when needed.</p></li><li><p>
Generally IT savvy and comfortable learning new systems and tools.</p></li><li><p>
Resourceful and dependable, with a proactive approach to supporting the team.</p></li><li><p>
Embrace and contribute to the Snowflake culture and values.</p></li></ul><p></p><p>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.</p><p>
How do you want to make your impact?</p><p>
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</p></div>

Senior Manager - Engineering Systems AI Developer Experience

FDM Group

<div><div><div><div><div><h2 class="jobSectionHeader"><b>About The Role</b></h2>
</div></div></div><div><div><div><div><div>FDM is a global business and technology consultancy seeking a Technical Business Analyst to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in London, Edinburgh or Bristol.
<br>
<br>
Our client is seeking a Technical Business Analyst who bridges business, technology, cyber security, fraud operations, data and risk teams. The role translates strategic outcomes and operational needs into clear product, data, control and engineering requirements for the Fraud &amp; Security Value Stream. The role supports the design, implementation and continuous improvement of AI-enabled capabilities that strengthen fraud detection, cyber defence, security observability, operational resilience and AI governance. It maintains alignment between business priorities, delivery outcomes, control obligations and technical implementation throughout the lifecycle of each initiative.
</div><div></div><div><b>Responsibilities</b>
</div><div></div><ul><li>Analyse and document business, operational, regulatory and technical requirements. Facilitate workshops. Translate outcomes into ADO epics, features, user stories and acceptance criteria. Maintain end-to-end traceability and support prioritisation</li>
 <li>Identify and shape opportunities across threat detection, alert triage, investigation, case management, orchestration, fraud analytics, resilience and AI governance monitoring. Define workflows, business rules, exception handling, decision boundaries and human oversight.</li>
<li>Define data requirements, authoritative sources, ownership, lineage, quality, access and retention needs. Produce mappings, dictionaries and data-flow views. Work with data and engineering teams to confirm readiness.</li>
<li>Embed secure-by-design and responsible AI requirements. Document control, privacy, compliance, auditability, observability and governance-gate evidence. Support risk assessments and production-readiness reviews.</li>
<li>Partner with architects, product leads, engineers and platform teams. Support backlog refinement, dependency management, sprint planning, testing, release and operational readiness. Maintain assumptions, risks, issues and decisions.</li>
<li>Define baselines, outcomes and KPIs for fraud, cyber and operational use cases. Support benefits tracking, dashboards, post-implementation review and continuous improvement.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>About You</b></h2>
</div></div></div><div><div><div><div><ul><li>At least five years of business analysis or technical business analysis experience.</li>
<li>Experience delivering technology-enabled transformation.</li>
<li>Experience translating complex business and control needs into technical requirements.</li>
<li>Experience working in Agile or iterative delivery environments.</li>
<li>Strong stakeholder management across business and technology teams.</li>
<li>Experience supporting testing, operational readiness and adoption.</li>
</ul><div><b>Technical and Professional Skills</b>
</div><div></div><ul><li>Requirements elicitation and traceability.</li>
<li>Process modelling and workshop facilitation.</li>
<li>Data analysis, data mapping and integration concepts.
<br>
</li><li>API, cloud, analytics and security-monitoring concepts.
<br>
</li><li>Agile backlog management and testing methods.
<br>
</li><li>Risk, control and audit documentation.
<br>
</li><li>Clear written and executive communication</li>
</ul><div><b>Desirable Experience</b>
</div><div></div><ul><li>Experience in cyber security, fraud, risk, operational resilience or financial services.
<br>
</li><li>Experience delivering AI, machine learning, analytics or intelligent automation capabilities.
<br>
</li><li>Experience with cloud and data platforms, preferably Microsoft Azure.
<br>
</li><li>Knowledge of security operations, fraud operations, SIEM/XDR, case management or orchestration.
<br>
</li><li>Knowledge of responsible AI and AI governance practices.</li>
</ul></div></div></div></div><div></div><div><div><div><h2 class="jobSectionHeader"><b>About Us</b></h2>
</div></div></div><div><div><div><div><div>FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK &lsquo;Best Employer&rsquo;.
<br>
<br>
<b>Diversity and Inclusion</b>
</div><div><br>
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
<br>
<br>
<b>Why join us</b>
</div><div></div><ul><li>Career coaching, mentoring and access to upskilling throughout your entire FDM career</li>
<li>Assignments with global companies and opportunities to work abroad</li>
<li>Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field</li>
<li>Annual leave and work-place pension</li></ul></div></div></div></div></div></div><p></p>

Technical Business Analyst- London, Edinburgh or Bristol

University of Sunderland

Job Title: Associate Lecturer in Computer Science with Artificial Intelligence
Department: Academic Operations
Location: London, Canary Wharf
Contract Type: Fixed Term until 31 January 2027
Hours: Variable Hours
Hourly Rate: &pound;27.20-&pound;32.30. Consolidated rate for Cat 1 inc holiday pay: &pound;66.00 to &pound;78.39
About The Role
The University of Sunderland in London is seeking an enthusiastic and industry-engaged Associate Lecturer to contribute to the delivery of our innovative BSc (Hons) and MSc Computer Science with Artificial Intelligence programmes. This is an exciting opportunity to teach within a modern curriculum that combines computer science, artificial intelligence, software engineering, cloud computing, machine learning and responsible digital innovation. Our programmes are delivered predominantly through face-to-face teaching in London and emphasise practical, project-based learning and authentic assessment.
You will deliver high-quality teaching and learning across undergraduate and postgraduate modules. You will facilitate lectures, workshops and laboratory sessions, support students&rsquo; academic development, assess coursework and contribute to an inclusive and engaging learning environment.
Teaching opportunities are available across a range of subject areas including:
Programming and Software Development (Python, Java, Object-Oriented Programming)
Algorithms, Data Structures and Computational Thinking
Mathematics for Computing and Data Science
Database Systems and Big Data Technologies
Software Engineering and System Architecture
Cloud Computing and Distributed Systems
Artificial Intelligence and Intelligent Systems
Machine Learning and Deep Learning
Natural Language Processing
Responsible AI, Ethics and Human-Centred Computing
Capstone AI Innovation Projects
Professional Practice, Agile Development and Emerging Technologies
Key Responsibilities
Deliver engaging lectures, workshops and practical laboratory sessions.
Support students through academic guidance, feedback and personal development.
Design and assess authentic coursework including software artefacts, technical reports, presentations and portfolios.
Supervise undergraduate and postgraduate capstone projects during workshops.
Embed inclusive teaching practices and promote student success.
Maintain academic standards in line with the university and QAA Quality Assurance expectations.
Contribute to curriculum enhancement and continuous quality improvement.
Integrate contemporary industry tools, cloud platforms and AI technologies into learning activities.
About Our Programmes
Our BSc (Hons) Computer Science with Artificial Intelligence programme takes students from foundational computing concepts to advanced AI applications. Students gain expertise in programming, algorithms, software engineering, databases, machine learning, deep learning, and cloud-based AI deployment, culminating in a substantial Capstone AI Innovation Project.
The MSc Computer Science with Artificial Intelligence develops advanced technical and professional capabilities through practice-oriented learning. Students build scalable software systems, develop intelligent AI solutions, work with cloud and big data technologies and complete an industry-relevant capstone project. All modules are assessed through coursework rather than traditional examinations, reflecting authentic professional practice.
Essential Requirements
A postgraduate qualification (Master&rsquo;s or PhD) in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a closely related discipline.
Demonstrable expertise in one or more of the subject areas listed above.
Experience with tools such as Python, Java, TensorFlow, PyTorch, SQL, Docker, Kubernetes, Git and cloud platforms (AWS, Azure or GCP).
Experience of teaching, training or mentoring in higher education or professional settings.
Excellent communication and interpersonal skills.
Experience of designing or assessing practical computing assignments.
A commitment to equality, diversity and inclusive education.
 Desirable
Fellowship of Advance HE (or willingness to work towards it).
Industry experience in software development, AI, cloud computing or data engineering.
Knowledge of Agile methodologies and DevOps practices.
Experience in supervising capstone projects.
We reserve the right to close this vacancy earlier than the advertised closing date.
For an informal discussion, contact: Dr Yahaya Alhassan, Head of Academic Operations via yahaya.alhassan@sunderland.ac.uk
<br><div><div>Job Details</div>
<div><div><div>Department</div>
<div>University of Sunderland in London - Academic Operations</div>
<div>Location</div>
<div>University of Sunderland in London</div>
<div>Hours per Week</div>
<div>Variable</div>
<div>Closing Date</div>
<div>Thursday 10 September 2026</div>
<div>Interview Date</div>
<div>To be confirmed
</div><div>Reference</div>
<div>USL819</div></div></div></div><div></div>

Associate Lecturer in Computer Science with Artificial Intelligence

Brave

<div>
 <p>
  <strong>
   AI Systems Researcher / Research Engineer
  </strong>
 </p>
 <p>
  <strong>
   UK: London (Preferred) - Hybrid
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Brave
  </strong>
 </p>
 <p>
  Brave is on a mission to protect the human right to privacy online. We&rsquo;ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a
  <em>
   truly
  </em>
  independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what&rsquo;s true and what&rsquo;s not. Brave is fighting back. Join us!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Summary
  </strong>
 </p>
 <p>
  Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We&rsquo;re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you&rsquo;re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you
  </strong>
 </p>
 <p>
  An ideal candidate will have a mix of skills that include the following:
 </p>
 <ul>
  <li>
   Demonstrates a high level of initiative and consistently delivers high-quality solutions
  </li>
  <li>
   Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
  </li>
  <li>
   Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
  </li>
  <li>
   Want to be part of a high-growth startup company with global ambitions
  </li>
  <li>
   Experience with software development practices (Python, C++, JavaScript and/or Rust)
  </li>
  <li>
   Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
  </li>
  <li>
   Comfortable working in an open-source setting
  </li>
  <li>
   Able to create and deploy mobile/desktop applications and systems
  </li>
  <li>
   Has a passion for helping protect users&rsquo; privacy and security
  </li>
  <li>
   A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Specific Skills
  </strong>
 </p>
 <ul>
  <li>
   Background and/or previous work in AI systems research and performance evaluation.
  </li>
  <li>
   Expertise in optimizing and evaluating ML models and/or privacy &amp; security technologies for on-device performance.
  </li>
  <li>
   Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills That Will Set You Apart from the Competition
  </strong>
 </p>
 <ul>
  <li>
   ML Systems (pipelines, performance evaluation, etc.)
  </li>
  <li>
   Open source projects on mobile/desktop systems optimization
  </li>
  <li>
   Experience with confidential computing and security/privacy protocols
  </li>
  <li>
   Ph.D. in computer science from a top-tier school
  </li>
  <li>
   A strong publication record in premier systems, performance, or ML
  </li>
  <li>
   Work experience in industry is desirable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Working at Brave - What we offer
  </strong>
 </p>
 <ul>
  <li>
   Ability to work at an exciting and well-funded international startup headquartered in San Francisco
  </li>
  <li>
   Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
  </li>
  <li>
   Competitive compensation and plenty of room for personal growth
  </li>
  <li>
   Great international exposure and team atmosphere
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are looking to hire in London but would
  <em>
   consider
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AI Systems Researcher/Research Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
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<p>Payments sit at the center of the global economy, connecting businesses and consumers around the world. You will join a team driving innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams to turn ideas into measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI.<br>
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As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure solutions are reliable, secure, and observable in production. You will mentor engineers and data scientists and translate complex technical work into clear decisions and outcomes for stakeholders.</p><p><b>
Job Responsibilities</b></p><ul><li>
Lead end-to-end delivery of machine learning and AI solutions for complex payments and banking operations problems, from discovery and framing to production rollout and lifecycle management</li><li>
Develop innovative machine learning solutions, including generative AI and multi-agent approaches, and define evaluation, safety, and monitoring strategies for production use</li><li>
Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting, and rollback strategies</li><li>
Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives</li><li>
Partner with product, operations, risk and control, and technology teams to influence roadmaps, align on requirements, and deliver data-led transformations</li><li>
Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management</li><li>
Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners</li><li>
Communicate with technical and non-technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans</li><li>
Maintain strong documentation for approaches, model cards, runbooks, and operational procedures</li></ul><p><b>
Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Master's degree in a quantitative field, or equivalent practical experience</li><li>
Deep understanding of machine learning fundamentals with strong applied data analysis skills</li><li>
Demonstrated experience designing rigorous evaluation and measurement in real-world settings</li><li>
Demonstrated experience deploying and operating machine learning models in production at scale, including monitoring, drift and performance management, reliability, incident management, and continuous improvement</li><li>
Strong Python software engineering skills, including modular object-oriented design, testing, performance tuning, and debugging</li><li>
Working knowledge of MLOps and LLMOps and distributed systems, including training and serving patterns, batch versus real-time architectures, feature stores, orchestration, and scalable data processing</li><li>
Ability to design intrinsic and extrinsic evaluations aligned with business goals, including offline and online alignment and guardrails for unintended outcomes</li><li>
Experience working in regulated environments with awareness of model risk, controls, privacy and security, and audit-ready documentation</li><li>
Strong stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teams</li></ul><p><b>
Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patterns</li><li>
Familiarity with agentic building blocks and standards, including orchestration frameworks, context and memory management, and interoperability protocols such as MCP</li><li>
Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels</li><li>
Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling</li><li>
Experience integrating human-in-the-loop and user feedback signals into iterative improvement, including active learning, preference signals, and labeling strategies</li></ul>
<b>ABOUT US</b>
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
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<b>ABOUT THE TEAM</b>
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J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Data Scientist, Vice President - Payments

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