account coordinator

bid and contract coordinator Jobs in London

bid and contract coordinator

building systems & project coordinator Jobs in London

building systems & project coordinator

clinic coordinator

commercial coordinator

project coordinator

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of experience in software development.</li>
<li>5 years of experience with design and architecture; and testing or launching software products.</li>
<li>3 years of experience in a people management, supervision/team leadership role.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>8 years of experience with data structures and algorithms.</li>
<li>4 years of experience with Android/iOS application development.</li>
<li>3 years of experience with working in a matrixed organization involving cross-functional, or cross-business projects.</li>
<li>3 years of experience in a technical leadership role with leading project teams and setting technical direction.</li>
<li>Experience in developing user-facing products.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.<br>
<br>
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.</p>
<p>
The team develops the Google Search App for Android. The app serves as the foundational platform for Google&rsquo;s experiences including Gemini, Discover, Circle to Search, Lens, and core Search.</p><p>
Android is Google&rsquo;s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Own the development and strategy for essential client-side features, including the search entry points, user engagement systems, and sharing and infrastructure.</li>
<li>Advocate a quality, polished user experience by evolving implementation strategies on the existing architectures. You will collaborate with specialized feature teams across Search and Artificial Intelligence (AI) to ensure a quality experience.</li>
<li>Manage core user journeys, including AI-integrated search modes and the primary search results interface.</li>
<li>Define and guide the feature architecture goals for the internal infrastructure and platform teams.</li>
<li>Collaborate in the strategy for architecture, performance, and distribution.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineering Manager, Android Growth Systems and Frameworks

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Join Citi's XVA Technology team in London as a Lead Software Engineer at Vice President level, and take on a role at the intersection of advanced software engineering and AI-driven innovation &mdash; at a firm where your code, your decisions, and your ideas operate at global scale. This role is built for a hands-on engineer with deep AI and software development expertise who can independently set and drive a technical agenda &mdash; building production systems, embedding intelligent tooling, and owning project outcomes across a complex, high-impact domain. You will work alongside high-calibre engineers and engaged business partners to architect, build, and deliver solutions that redefine how XVA risk is calculated and managed globally.</p>
<p></p><p><b>Responsibilities</b></p>
<ul><li>Design, build, and maintain scalable, high-performance software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.</li>
<li>Build and integrate AI and Machine Learning solutions into core XVA workflows &mdash; applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.</li>
<li>Take end-to-end ownership of technology projects &mdash; from initial design and development through to production release &mdash; coordinating across engineering, business, and operations teams to keep projects on track.</li>
<li>Lead and run technology projects with confidence, managing timelines, dependencies, and stakeholder expectations while keeping the engineering team focused and unblocked.</li>
<li>Translate complex business requirements from Risk, Operations, and Technology partners into clear functional specifications, well-structured solution designs, and working software.</li>
<li>Drive Agile delivery practices across cross-functional and distributed teams, facilitating sprint planning, stand-ups, retrospectives, and release coordination.</li>
<li>Define project scope and ensure all solutions meet regulatory and compliance requirements, proactively identifying and resolving technical and delivery risks across market risk technology projects.</li>
<li>Mentor engineers and analysts, sharing technical knowledge, setting quality standards, and building team capability &mdash; particularly in modern engineering practices and AI tooling.</li>
</ul><p></p><p><b>Required Qualifications &amp; Skills</b></p>
<ul><li>Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment.</li>
<li>Hands-on experience building and deploying AI or Machine Learning solutions in a production environment, with the ability to identify where Generative AI tooling can be embedded to measurably improve engineering workflows and analytical capabilities.</li>
<li>Ability to independently own and drive a technical agenda &mdash; setting direction, making architectural decisions, and managing project outcomes without requiring close oversight.</li>
<li>Solid understanding of distributed systems, microservices architecture, and scalable data processing, with the ability to make and defend architectural decisions under real-world constraints.</li>
<li>Domain knowledge in XVA (X-Value Adjustment), market risk, or related regulatory frameworks such as FRTB or Netted CVA, with the ability to engage credibly with both technical and business stakeholders.</li>
<li>Clear, confident communication skills &mdash; able to present complex technical concepts to non-technical audiences and align diverse stakeholders around a shared project plan.</li>
<li>Bachelor's degree in Computer Science, Engineering, or a related discipline.</li>
</ul><p></p><p><b>Beneficial Skills &amp; Qualifications</b></p>
<ul><li>Experience leading AI or automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.</li>
<li>Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.</li>
<li>Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.</li>
</ul><p></p><p>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p>
<p></p><p><b>What we&rsquo;ll provide you</b></p>
<p>By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:</p>
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul><p></p><p>Visit our About Us | Culture, Values &amp; Benefits page to learn more.</p>
<p></p><p>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.</p>
<p></p><p>#LI-AP2</p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Technology
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Applications Development
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

Lead Software Engineer (XVA) - VP

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in London to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (UK-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Technology &amp; Transformation
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>02-Jul-2026
</div></div><div><div>Req #
</div><div>23986
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> Java Developer (FX Trading) - contract</p><p><b>
Location: </b>London Hybrid. Travel to the London office on 2-3 days a week</p><p><b>
Duration:</b> 6 months (with potential to extend)</p><p><b>
Contract Start Date: </b>ASAP *note client onboarding takes 4-6 weeks from offer</p><p><b>
Day Rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for an experienced<b> Java Developers</b> to work in the Technology and Transformation Team at Deloitte. You will support the FX trading platforms with one of our global financial services clients. This position requires <b>Java server-side</b> <b>d</b><b>evelopment </b>with <b>FX experience </b>within Financial Services sector, excellent communication skills combined with the tech listed below.</p><p></p><p><b><br>
Essential skill and experience</b></p><ul><li>
Highly technical with strong <b>Java server-side development</b> experience.</li><li>
Must have <b>FX experience </b>within Financial Services sector. Have <b>pricing or algo-trading </b>experience in any asset class</li><li>
Have full technology stack knowledge of <b>Java, Linux </b>and networks.</li><li>
Have excellent <b>communication skills </b>to face off to tech management, Quantitative Strategies Group and trading desk.</li><li>
Full <b>SDLC </b>experience, <b>Git, Jenkins, Ansible</b> etc.</li><li><b>
Advanced programming skills</b> including understanding of algorithms and data structures, design patterns, multi-threading.</li><li>
Experience in <b>3rd line production support</b></li><li>
Have a degree in Computer Science, Physics, Engineering, Mathematics, or relevant analytical degree.</li><li>
Be a strong team player</li><li><b>
KDB / Q</b> experience (Desirable)</li></ul><div></div><b><br>
Deliverables: </b>Responsibilities but not limited to:<br>
<p></p><ul><li>
Design, develop, and implement robust, scalable, and high-performance server-side <b>Java solutions</b> for our algorithmic trading platforms.</li><li>
Engage with the full technology stack, from core Java development to Linux and network optimizations, ensuring seamless end-to-end performance.</li><li>
Provide <b>3rd line production support</b> to diagnose and resolve complex technical issues, ensuring the stability and reliability of our trading systems.</li><li>
Work in <b>close collaboration</b> with the Quantitative Strategies Group and trading desk to understand requirements and deliver innovative solutions.</li><li>
Participate in the full <b>software development lifecycle (SDLC),</b> utilizing tools such as Git for version control, Jenkins for continuous integration, and Ansible for deployment automation.</li><li>
Effectively <b>communicate technical concepts</b> and project status to technology management and other stakeholders.</li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - Java Developer (FX Trading)

TPXimpact

<div><h3 class="jobSectionHeader"><b>About The Role</b></h3>
<p>
We are looking for a Lead Software Engineer who will be responsible for the design, development, and deployment of high-quality software solutions. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs.</p>
<p>
This role involves leading a team of engineers on high-profile projects, ensuring best practices are followed, and driving continuous improvement in software development processes. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities.</p>
<p>
We value adaptability over specific technology expertise. While we are technology-agnostic and expect you to be too, we will fully support your development with the necessary training to master the required technologies. Our technology choices are driven by client needs, and our goal is to build highly flexible teams.<br>
</p><b>Responsibilities</b>
<ul>
<li><p>Lead the architecture, design, and development of complex software systems, ensuring they meet high standards of quality, security, and scalability.</p>
</li><li><p>Manage and mentor a team of software engineers, providing technical guidance to foster professional growth.</p>
</li><li><p>Ensure that coding standards, development best practices, and operational processes are consistently applied.</p>
</li><li><p>Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery.</p>
</li><li><p>Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications.</p>
</li><li><p>Conduct regular code reviews and ensure that feedback is constructive and promotes learning within the team.</p>
</li><li><p>Implement and maintain CI/CD pipelines to streamline the development and deployment process.</p>
</li><li><p>Troubleshoot and resolve complex technical issues throughout the software development lifecycle.</p>
</li><li><p>Stay up to date with the latest trends in software engineering, communicate complex technical concepts to non-technical stakeholders, and drive the adoption of new tools and methodologies where beneficial.</p>
</li><li><p>Manage project timelines, ensuring that deliverables are completed on time and within scope.</p>
</li><li><p>Contribute to bid questions &amp; early-stage hiring, e.g. CV screening or technical assessments when required</p>
</li></ul><h3 class="jobSectionHeader"><b>About You</b></h3>
<b>Professional knowledge and experience</b>
<p><b>
Essential:</b></p>
<ul>
<li><p>Extensive experience in full-stack software engineering, including design, development, testing, and deployment.</p>
</li><li><p>Some of the languages and frameworks our teams work with:</p>
<ul><li><p>Java / Kotlin</p>
</li><li><p>Python</p>
</li><li><p>C# / .NET</p>
</li><li><p>Full stack JavaScript (Express, React, Node.js etc.)</p>
</li></ul></li><li><p>We expect you to have deep experience in at least one of the above; you will also be flexible and comfortable picking up what the work requires</p>
</li><li><p>Strong understanding of software development methodologies such as Agile, TDD, and DevOps.</p>
</li><li><p>Extensive experience writing well-tested code.</p>
</li><li><p>Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform)</p>
</li><li><p>Experience with CI/CD pipelines and automated testing frameworks.</p>
</li><li><p>Experience with various architecture patterns, e.g. microservices and event-driven.</p>
</li><li><p>Experience with containerization technologies (e.g. Docker, Kubernetes).</p>
</li><li><p>Proven ability to manage and lead engineering teams to success.</p>
</li><li><p>Expertise in designing scalable and secure software architectures.</p>
</li></ul><p><b>Desirable:</b></p>
<ul>
<li><p>Knowledge of emerging technologies like AI</p>
</li><li><p>Previous relevant experience as a senior software engineer</p>
</li><li><p>Leading a large multidisciplinary project</p>
</li><li><p>Line management experience</p>
</li><li><p>Experience in interviewing and screening candidates</p>
</li><li><p>Experience responding to bid questions</p>
</li><li><p>Experience working on NHS projects</p>
</li><li><p>Experience working with Health API&rsquo;s</p>
</li></ul><b>Skills</b>
<ul>
<li><p>Software Architecture: Expertise in designing scalable, secure, and efficient software architectures, ensuring alignment with business goals.</p>
</li><li><p>Cloud Platforms: Strong proficiency in cloud technologies, including architecture and deployment strategies.</p>
</li><li><p>Programming and Development: Advanced knowledge of multiple programming languages and frameworks (e.g. .NET, React, Python).</p>
</li><li><p>CI/CD and Automation: Implementing and maintaining continuous integration/continuous deployment pipelines to accelerate development cycles.</p>
</li><li><p>Code Quality and Testing: Experience with automated testing frameworks (e.g. Jest, XUnit) and best practices for ensuring code quality.</p>
</li><li><p>DevOps Practices: Expertise in DevOps, particularly around automating deployment, monitoring, and scaling applications.</p>
</li><li><p>Communication: Able to confidently communicate with internal and external stakeholders at both the technical and non-technical levels. Able to present and give feedback to relevant groups. Eg demo/TDA</p>
</li></ul><b>Behaviours and PACT values</b>
<ul>
<li><p>Purpose: Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.</p>
</li><li><p>Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost.</p>
</li><li><p>Craft: Balance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.</p>
</li><li><p>Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients.</p>
</li></ul><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><b>People-Powered Transformation</b></div><br>
<div></div>
<div>
<p>We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we&rsquo;re creating sustainable solutions ready for an ever-evolving world.</p><br>
<p></p>
<p>
At the heart of TPXimpact, we&rsquo;re collaborative and empathetic. We&rsquo;re a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That&rsquo;s why we believe in people-powered transformation.</p><br>
<div></div>
<p>
Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting.</p><br>
<p></p>
<p><b>
Benefits Include:</b></p>
<ul>
<li>30 days holiday + bank holidays</li>
<li>2 volunteer days for causes that you are passionate about</li>
<li>Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave</li>
<li>Life assurance</li>
<li>Employer pension contribution of 5%</li>
<li>Health cash plan</li>
<li>Personal learning and development budget</li>
<li>Employee Assistance Programme</li>
<li>Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme</li>
<li>Health assessments</li>
</ul>
</div><div><p><b>About TPXimpact - Digital Transformation</b></p><br>
<p>
We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities.<br>
</p><p>By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact.</p><br>
<p></p>
<p><b>
We are committed to having a positive impact on the clients and the communities we serve. We actively encourage applications from all genders, ethnicities, disabled people, members of the LGBTQIA+ community, and those from lower socio-economic backgrounds.</b></p><br>
<p></p>
<p><b>
Don&rsquo;t meet 100% of the criteria? We still want to hear from you. Please let us know if you require any adjustments during the recruitment process.</b></p></div></div>

Lead Full-Stack Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. As a part of CDAO, The Machine Learning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy Machine Learning Solutions for our most challenging business problems. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
As an intern within the MLCOE, you will apply sophisticated machine learning methods to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting independent research and deploying solutions into production. A strong passion for machine learning, solid expertise in deep learning with hands-on implementation experience, and a commitment to continuous learning and innovation are essential. This role offers a unique opportunity to contribute to and learn from a world-class machine learning team. Learn more about our MLCOE team at jpmorgan.com/mlcoe.</p><p>
Our Summer Associate Internship Program begins in June, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, an engaging speaker series with our senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.</p><p><b>
Job responsibilities</b></p><ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Enrolled in a PhD or MS in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience,</li><li>
Expected graduation date of December 2026 through August 2027</li><li>
Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains</li><li>
Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical, and business audiences</li><li>
Ability to work both independently and in highly collaborative team environments</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Strong background in Mathematics and Statistics</li><li>
Familiarity with the financial services industries</li><li>
Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal</li><li>
Ability to develop and debug production-quality code</li><li>
Familiarity with continuous integration models and unit test development</li><li>
Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal</li></ul><p>
#MLCOE_jobs</p><p><br>
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><b>ABOUT US</b>
<br>
<br>
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.</div></div></div>

2026 Machine Learning Center of Excellence (NLP)-Internship

Databricks

<div><p><b>Req ID: CSQ127R149</b></p>
<p><b>Location: London, United Kingdom - Hybrid</b></p>
<p><b>Recruiter: Dina Hussain</b></p>
<p>We&rsquo;re hiring for multiple roles within our FDE team.</p>
<p>As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.</p>
<p>This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.</p>
<p><b>The impact you will have:</b></p>
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul><p><b>What we look for:</b></p>
<ul><li><b>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</b></li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

Senior Forward Deployed Engineer

Explore 19+ Project coordinator in London this July. Find roles across top companies and apply now to boost your career.