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commercial coordinator

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.</p>
<p>As a Research and Development Lead you will spearhead the exploration and development of innovative data solutions and processes for Client360. Your role involves piloting and implementing cutting-edge solutions that expand Client360 capabilities, improve client experience, and drive operational performance. You will be responsible for identifying emerging trends, evaluating new tools, and fostering a culture of experimentation within the organization.</p>
<p>Within Data, Digital and AI, you will manage the planning and execution of R&amp;D initiatives, working closely with cross-functional teams to deliver measurable business outcomes. By championing innovation, supporting compliance, and integrating insights from various sources, you will help advance CRM transformation across multiple lines of business, enabling enterprise-wide change and supporting long-term growth.</p>
<p></p><p><b>Job Responsibilities</b></p>
<ul><li>Manages the delivery and optimization of research and development initiatives for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of R&amp;D programs, including frameworks for experimentation, technology evaluation, and operational efficiency.</li>
<li>Supports R&amp;D initiatives, adapting to evolving business needs and managing risks to achieve objectives.</li>
<li>Coaches and mentors junior team members on best practices in research, solution generation, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Monitors R&amp;D performance and supports enhancements to achieve business outcomes and improve user satisfaction.</li>
<li>Collaborates with engineering, operations, and business teams to evaluate, pilot, and implement new technologies and processes, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the innovation experience for Client360, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring R&amp;D initiatives deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and emerging technologies to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of innovative solutions.</li>
<li>Utilizes R&amp;D initiatives to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>5+ years of experience or equivalent expertise delivering research and development initiatives, business projects, or transformation programs.</li>
<li>Strong knowledge of R&amp;D processes, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key R&amp;D lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale R&amp;D, technology integration, or analytics projects.</li>
<li>Good understanding of technology evaluation, data governance, regulatory compliance, and operational risk management.</li>
<li>Excellent problem-solving skills and strategic thinking about R&amp;D initiatives and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex research concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in research, business analytics, and CRM</li>
<li>Experience with emerging technologies and best practices in business analytics and CRM.</li>
<li>Experience in research and development, technology evaluation, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Engineering, or a related field.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the solutions delivered.</li><br>
</ul><p></p><br>
<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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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>

Product Manager - R&D - Data Scientist Lead

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.</p>
<p>Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation.</p>
<p>Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows.</p>
<p></p><p><b>Job Responsibilities</b></p>
<ul><li>Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.</li>
<li>Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.</li>
<li>Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.</li>
<li>Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Supports foundational business processes that enable Client360 through AI-driven solutions.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.</li>
<li>Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.</li>
<li>Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale AI integration and analytics projects.</li>
<li>Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.</li>
<li>Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.</li>
<li>Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.</li>
<li>Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.</li>
</ul><p></p><p><b>Preferred qualifications, capabilities, and skills
</b></p><ul><li>Experience working in a highly matrixed, complex organization.</li>
<li>Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.</li><br>
</ul><div></div><br>
<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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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>

Agentic AI Ops Lead

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>As a Lead Software Engineer at JPMorganChase within the <b>CIB &ndash; Markets Technology</b>, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p>
Job Responsibilities</p><ul><li>
Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine approaches to build solutions and break down complex technical problems.</li><li>
Develop secure, high-quality production code, and review and debug code written by others.</li><li>
Drive team adoption of <b>enterprise-authorized AI-assisted engineering practices</b> to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain, including <b>enterprise-authorized AI-assisted development and automation capabilities</b>, to improve the value realized by automation.</li><li>
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability and resiliency of software applications and systems.</li><li>
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.</li><li>
Lead and contribute to communities of practice across Software Engineering; promote awareness and use of new and leading-edge technologies aligned to enterprise standards.</li><li>
Foster a team culture of diversity, opportunity, inclusion, and respect.</li></ul><p>
Required Qualifications, Capabilities, and Skills</p><ul><li>
Formal training or certification on software engineering concepts and <b>advanced applied experience.</b></li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced proficiency in one or more programming languages (e.g., <b>Java</b>).</li><li>
Proficient in all aspects of the SDLC and advanced understanding of agile methodologies and practices, including <b>CI/CD, Application Resiliency, and Security</b>.</li><li>
Demonstrated experience leading effective use of <b>approved AI-assisted software development tools</b> (e.g., coding, code review, test acceleration, troubleshooting), including the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of <b>responsible AI use</b> in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.</li><li>
In-depth knowledge of the financial services industry and its IT systems.</li><li>
Practical cloud-native experience at scale.</li></ul><p>
Preferred Qualifications, Capabilities, and Skills</p><ul><li>
Experience with emerging technologies and architectural patterns.</li><li>
Strong communication and collaboration skills; ability to mentor and guide junior engineers.</li><li>
Familiarity with regulatory and compliance requirements in financial services.</li><li>
Experience working in global, cross-functional teams.</li><li>
Passion for continuous learning and professional development; ability to drive innovation and influence technology strategy.</li></ul><p><br>
</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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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>

Java Lead Software Engineer

Humanoid

<div><p>Here at Humanoid, we believe in a future where robots amplify human potential. That&rsquo;s why we&rsquo;ve set out on a mission to build the world&rsquo;s most capable, commercially-scalable, and safe humanoid robots. We&rsquo;re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we&rsquo;re growing the team to take it even further.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family &mdash; the Alpha Wheeled industrial robot and the Alpha Bipedal home robot &mdash; both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics.</p><p></p><h1 class="jobSectionHeader"><b>
What You'll Do</b></h1><ul><li><p><b>
Team Leadership &amp; Product Security Delivery</b></p><ul><li><p>
Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle.</p></li><li><p>
Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems.</p></li><li><p>
Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats &mdash; including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture.</p></li><li><p>
Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms.</p></li></ul><p><b>
Security Assurance &amp; Certification</b></p><ul><li><p>
Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation.</p></li><li><p>
Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act.</p></li><li><p>
Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects &mdash; with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users.</p></li><li><p>
Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification.</p></li></ul><p><b>
Incident Response &amp; Lifecycle Security</b></p><ul><li><p>
Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis.</p></li><li><p>
Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations.</p></li></ul><p><b>
Commercial &amp; Bid Support</b></p><ul><li><p>
Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope.</p></li><li><p>
Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions.</p></li></ul></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We're Looking For</b></h1><ul><li><p>
Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes.</p></li><li><p>
Experience owning a security risk management system for highly regulated, safety-critical products &mdash; with background drawn from automotive, commercial vehicle, or industrial automation environments.</p></li><li><p>
Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context.</p></li><li><p>
Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development.</p></li><li><p>
Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner.</p></li><li><p>
Clear, structured communication skills &mdash; able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence.</p></li></ul><p></p><p><b>
Preferred:</b></p><ul><li><p>
Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems.</p></li><li><p>
Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths.</p></li><li><p>
Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems.</p></li><li><p>
Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme.</p></li><li><p>
Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments.</p></li><li><p>
Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS).</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Offer</b></h1><ul><li><p>
Competitive equity: stock options with meaningful upside as we scale.</p></li><li><p>
30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas&ndash;New Year shutdown).</p></li><li><p>
Private healthcare, including virtual and in-person care.</p></li><li><p>
Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.</p></li><li><p>
Free daily breakfast, catered lunch, and snacks in-office.</p></li><li><p>
Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.</p></li><li><p>
Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.</p></li></ul></div>

Principal Product Cybersecurity Assurance

HOMETRACK

<div><p>Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.</p><p>
At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs.</p><p></p><p>
Responsibilities:</p><ul><li>
Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time.</li><li>
Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.</li><li>
Develop automated workflows for model retraining, testing, and deployment to streamline the machine learning lifecycle.</li><li>
Advocate for and implement best practices in software engineering, including code reviews, continuous integration, and continuous delivery (CI/CD) for machine learning models.</li></ul><p></p><p>
Requirements:</p><ul><li>
Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control, testing frameworks, MLOps.</li><li>
Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code.</li><li>
Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.</li><li>
Have worked with a cloud service, such as AWS.</li><li>
Familiarity developing Infrastructure as code (e.g Terraform, cloudformation).</li><li>
Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications.</li><li>
Comfortable working with Docker and containerised applications.</li><li>
Experience leveraging AI native engineering tooling.</li><li>
Passion for building products that meet customer needs and business objectives.</li><li>
Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
Everyday Flex - greater flexibility over where and when you work</li><li>
25 days annual leave + extra days for years of service</li><li>
Day off for your birthday, house move, good deed day, and digital detox day</li><li>
Cycle to work and electric car schemes
</li><li>Free Calm App membership
</li><li>Enhanced Paternity Leave
</li><li>Fertility Treatment Financial Support
</li><li>Group Income Protection and private medical insurance</li><li>
Gym on-site in London &ndash; or membership in regional offices</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li><li>
Talent referral bonus up to &pound;5K</li></ul></div>

Senior Machine Learning Engineer

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)

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As AI moves from experimentation to enterprise-wide adoption, doing it responsibly has become a commercial necessity, not just an ethical one. We are looking for a Responsible AI Specialist to ensure the solutions we design and the advice we give to clients are trustworthy, compliant, and fair by design. This is a role for someone who can translate principles (fairness, transparency, accountability) into practical frameworks that engineering teams and clients can actually apply.</p><p>
You will be a connective figure across the practice: advising delivery teams on ethical and regulatory risk, contributing to client governance conversations, and helping shape the standards by which we build. You do not need to be a deep technical engineer, but you must understand how AI systems work, where they fail, and what good governance looks like in practice, particularly as regulation such as the EU AI Act reshapes expectations.</p><p>
This is a growing area of strategic importance, offering significant scope to define our approach and to become a recognised voice in responsible AI.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Define and implement Responsible AI frameworks, policies, and practical guidelines across the practice.</li><li>
Advise project teams on ethical AI design, risk identification, and mitigation throughout the delivery lifecycle.</li><li>
Conduct AI risk and impact assessments, and embed fairness, transparency, and accountability into solutions.</li><li>
Contribute to client conversations on AI governance, risk, and regulatory readiness.</li><li>
Monitor evolving regulation (EU AI Act, ICO guidance, emerging standards) and translate it into actionable guidance.</li><li>
Support internal capability building, raising awareness and competence in responsible AI across teams.</li><li>
Partner with architects and data scientists to operationalise governance &mdash; model documentation, evaluation, and guardrails.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Minimum 3 years in AI ethics, governance, policy, risk, compliance, or a closely related regulatory field.</li><li>
Sound understanding of AI concepts, risks, and failure modes (deep technical implementation not required).</li><li>
Working knowledge of relevant regulation and standards, including the EU AI Act.</li><li>
Strong stakeholder communication skills, able to engage both technical teams and senior business audiences.</li><li>
Ability to turn principles into pragmatic, usable frameworks and processes.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Experience in consulting or advisory roles.</li><li>
Familiarity with assurance frameworks (ISO/IEC 42001, NIST AI RMF).</li><li>
Background in data protection, privacy, or model risk management.</li><li>
Exposure to fairness, bias, and explainability tooling.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
Responsible AI is central to how we earn client trust and differentiate our practice. You will have the rare chance to shape this capability from an influential position, combining ethics, regulation, and real delivery in work that genuinely matters. As adoption and scrutiny grow, so will your impact and your profile.</p></div>

Responsible AI Specialist (Governance, Ethics & Compliance)

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