data scientist – data & analytics products

lead software engineer - python, databricks, aws

operational technology / project management professionals (ot/scada plc).

senior software engineer - space reliability

data engineer

data engineer lead

data scientist – data & analytics products Jobs in Glasgow

lead software engineer - python, databricks, aws Jobs in Glasgow

data scientist data analytics products

JPMorganChase

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.
 <br/>
 <br/>
 As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production-grade services with measurable client and advisor impact.
 <br/>
 <br/>
 You will be responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact
  </li>
  <li>
   Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe.
  </li>
  <li>
   Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers
  </li>
  <li>
   Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards
  </li>
  <li>
   Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams
  </li>
  <li>
   Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design
  </li>
  <li>
   Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
  </li>
  <li>
   Champions the firm's culture of diversity, Opportunity, inclusion, and respect
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications, Capabilities, And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Formal training or certification in software engineering concepts and expert applied experience
  </li>
  <li>
   Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control)
  </li>
  <li>
   Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day software development, with the judgement to know when to lean on them and when not to
  </li>
  <li>
   Hands-on experience building, evaluating, and deploying machine learning models into production
  </li>
  <li>
   Practical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, agentic frameworks, skills.
  </li>
  <li>
   Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems
  </li>
  <li>
   Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiences
  </li>
  <li>
   Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines
  </li>
  <li>
   MSc in Computer Science, Data Science, Engineering, or a related quantitative field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications, Capabilities, And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Postgraduate-level qualification in data science, artificial intelligence, or machine learning
  </li>
  <li>
   Practical experience with CI/CD, containerization, and cloud-native deployment patterns
  </li>
  <li>
   Experience within financial services technology, particularly wealth, private banking, or asset management
  </li>
  <li>
   Experience with Databricks, Kubernetes, or comparable ML / cloud platforms
  </li>
  <li>
   Experience designing or contributing to AI governance, model validation, or guardrail frameworks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ABOUT US
  <br/>
  <br/>
 </strong>
 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/>
 <br/>
 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/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
</div>


Applied AI ML Lead- Agentic AI & Python

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>As an AI Platform &amp; Site Reliability Engineering Managing Consultant, you will help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise in platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services.</p><br>
<p><br>
You will work with technology, engineering, operations and business leaders to establish the platforms, operating models, governance and reliability practices required to run AI-enabled services safely, effectively and at scale. Acting as a trusted advisor to senior stakeholders, you will shape client strategy while leading delivery teams and helping grow our AI Platform &amp; Reliability Engineering capability.<br>
</p><div><br>
This will include:
<br>
<br>
<ul><li>AI Platform Strategy &amp; Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid approaches aligned to business needs, risk appetite and operational requirements.</li></ul></div><br>
<div><br>
<ul><li>AI Platform Engineering &amp; LLMOps: Design and implement scalable AI platform capabilities including model deployment pipelines, prompt and model management, evaluation frameworks, AI observability, platform automation and operational guardrails. Enable reliable and repeatable delivery of AI services from experimentation through to production.<br>
</li></ul></div><div><br>
<ul><li>Reliability Engineering &amp; SRE: Establish SRE practices including SLIs, SLOs, error budgets, capacity planning, resilience engineering and reliability governance. Help clients shift from reactive operations to data-driven reliability management while balancing reliability, innovation and delivery velocity.<br>
</li></ul></div><div><br>
<ul><li>Observability &amp; Operational Intelligence: Define observability strategies across applications, platforms and AI workloads using metrics, logs, traces and telemetry. Establish operational insight models that support proactive decision-making and enable advanced capabilities including anomaly detection, event intelligence, noise reduction and predictive operational analytics.<br>
</li></ul></div><div><br>
<ul><li>AI Operations &amp; Service Reliability: Apply reliability engineering principles to AI-enabled services, monitoring AI-specific failure modes such as data quality degradation, hallucination patterns, token consumption, agent reliability and model performance drift. Implement controls, feedback loops and automated guardrails to ensure AI services remain secure, trusted and cost-effective.<br>
</li></ul></div><div><br>
<ul><li>Responsible AI &amp; Platform Governance: Design and embed AI governance frameworks, model risk controls, compliance measures and responsible AI practices that address security, regulatory and ethical requirements while supporting innovation and adoption at scale.<br>
</li></ul></div><div><br>
<ul><li>Automation &amp; Operational Efficiency: Identify opportunities to reduce operational complexity and toil through engineering-led automation, intelligent workflows and AI-enhanced operational practices. Help clients improve scalability, consistency and operational performance while reducing manual effort.<br>
</li></ul></div><div><br>
<ul><li>Client Advisory &amp; Transformation Leadership: Act as a trusted advisor to CIO, CTO, CDO and Engineering leadership stakeholders, shaping platform strategies, operating models, vendor selections and transformation roadmaps. Lead consulting teams and workstreams from assessment and strategy through implementation and scale-up.
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p><b>Essential Experience</b></p><br>
<div><br>
<ul><li>Proven experience designing, delivering and operating cloud-native, platform engineering, AI platform or reliability engineering solutions within complex enterprise environments.
</li><li>Strong understanding of AI platform architectures including LLMOps, MLOps, agentic AI frameworks, model lifecycle management and AI operational controls.
</li><li>Experience establishing and scaling SRE practices including observability, SLIs, SLOs, error budgets, incident management and reliability engineering.
</li><li>Strong understanding of AI governance, responsible AI, regulatory requirements and model risk management.
</li><li>Experience implementing observability strategies using modern monitoring, telemetry and operational analytics platforms.
</li><li>Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes.
</li><li>Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform.
</li><li>Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies.
</li></ul></div><p><b>Desirable Experience</b></p><br>
<div><br>
<ul><li>Experience with AI observability, model monitoring, AI governance tooling or AI platform operations.
</li><li>Experience of platform engineering, DevSecOps, automation and Infrastructure-as-Code practices.
</li><li>Experience developing propositions, leading bids and supporting business growth activities.
</li><li>Active participation in AI, SRE, platform engineering or cloud communities.
</li></ul></div><p><b>Certifications (Desirable)</b></p><br>
<div><br>
<ul><li>Azure AI Engineer Associate
</li><li>Azure Solutions Architect Expert
</li><li>AWS Machine Learning Specialty
</li><li>Google Professional Cloud Architect
</li><li>Certified Kubernetes Administrator (CKA)
</li><li>SRE Foundation or SRE Practitioner
</li><li>Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.)<br>
</li></ul></div><p><br>
<b>Security Check (SC) Clearance</b><br>
</p><p><br>
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant#levels-of-national-security-clearance)
</p><p>To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.</p><br>
<p><br>
Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><ul><li>Client engagements give you the opportunity to work with our leadership and experienced consulting management, where you can learn from them, challenge them, and accelerate your hands-on experience, delivery capability and industry insights.
</li><li>You&rsquo;ll learn how we write compelling client propositions, structure, and lead high-profile transformation, and gain hands-on exposure to leading technologies, often taking an idea from a concept to a vision, to strategy and then execution.
</li><li>Our consultants are formally trained from industry experts on management consulting and client delivery.
</li><li>We provide a host of opportunities for learning and certification through internal and partner led programmes from AWS, Google and Microsoft.
</li><li>Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities which will help us and our clients to succeed.
</li><li>We hold monthly showcases of our initiatives, sharing knowledge and showing off how the power of technology is impacting our clients.
</li><li>There are many opportunities like monthly team drinks to connect face-to-face with the wider team over a few drinks in the city. There are regular leadership connect sessions that will give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.</li></ul>
<p>As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<p><b>Business Development </b>&ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
<br>
<b>Internal Contribution</b> &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.
<br>
<b>Learning &amp; Developmen</b>t &ndash; Training to support your career development and the skills demand within the company, certifications etc.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
<br>
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
<br>
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
<p>Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.</p>
<p>We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>WE'RE A DISABILITY CONFIDENT EMPLOYER</b></h2>
</div><div><p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p><br>
<div><br>
<ul><li>Declare they have a disability, and
</li><li>Meet the minimum essential criteria for the role.
</li></ul></div><p>Please opt in during the application process.</p></div></div></div></div></div></div></div>

Cloud Operating Model - Managing Consultant

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div>Push the limits of what's possible with us as an experienced member of our Software Engineering team.</div><div><br>
As an Experienced Software Engineer at JPMorganChase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.</div><div><br>
<b>
Job Responsibilities
</b></div><div></div><div><ul><li>Participates in, design and develop scalable and resilient systems using Python to contribute to continual, iterative improvements for product teams</li><li>
Executes software solutions, design, development, and technical troubleshooting</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><p>
</p></div><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><div><ul><li>Hands-on practical experience in system design, application development, testing and operational stability</li><li>
Proficient in coding in Python languages</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle, AWS cloud exposure, troubleshooting abilities, resiliency and automation focus.</li><li>
Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Experience of AI and full understanding of the SDLC process, and MongoDB</li></ul><p>
</p></div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><div><ul><li>Familiarity with modern front-end technologies</li><li>
Exposure to cloud technologies</li></ul><p><br>
</p></div><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>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III- Python/ AI

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>This is a high impact role in the Cloud Advisory capability unit contributing to our leadership in cloud transformation across our clients in different industry sectors.</p><br>
<p><br>
As a Consultant/Senior Consultant &ndash; Cloud Operating Model Transformation, you will support clients in designing, assessing and evolving cloud operating models that are automation-first and AI-ready. You will work hands-on across technology, service management and organisational change to help clients realise tangible business outcomes from cloud adoption, with a particular focus on how GenAI, agentic workflows and intelligent automation are reshaping how organisations operate in the cloud.<br>
</p><p><br>
Key responsibilities include:
</p><ul><li>Cloud Transformation Advisory: Advise clients on the operational and organisational impacts of cloud transformation and help develop digitally enabled business models underpinned by cloud and data-driven, AI-ready operating models.</li></ul>
<ul><li>Assessments and Audits: Conduct assessments and audits of existing cloud operating models to identify areas for improvement through standardisation, automation, improved data flows and readiness for AI-enabled operations, and translate findings into the design of future-state operating models, service management processes and organisational structures that are standardisation-led, automation-first and AI-ready.</li></ul>
<ul><li>Future State Design &amp; Operating Model Definition: Design target cloud operating models, service management frameworks, and organisational structures that reflect the client&rsquo;s strategic ambitions and cloud maturity. Define future-state processes across service delivery, governance and operational workflows ensuring designs are practical, measurable and aligned to automation-first and AI-ready principles.</li></ul>
<ul><li>Monitoring and Evaluation: Monitor and evaluate the effectiveness and maturity of cloud operating model transformations, using operational metrics, serviced data and insights to recommend improvements. Support the introduction of intelligent monitoring, service analytics and AIOps-aligned practices where appropriate.</li></ul>
<ul><li>Deliver Business Outcomes: Use skills in strategy development, service management, agile delivery, DevOps, business process mapping and organisational design to deliver digitally enabled business outcomes. Support the enabling of automation, intelligent workflows and AI-assisted operations as part of broader cloud transformation initiatives.</li></ul>
<ul><li>Collaborative Innovation: Work at all organisational levels to innovate, design, and implement cloud transformations, contributing to the growth and success of the consulting practice.</li></ul>
<ul><li>GenAI &amp; Agentic Operations Advisory: Advise clients on the practical application of large language models, copilot tooling and agentic AI within cloud operating models, including use cases in service management automation, intelligent triage, and AI-assisted decision-making.</li></ul>
<ul><li>AI Governance &amp; Responsible Adoption: Support clients in understanding AI governance considerations, including data quality and transparency.</li></ul>
<p>As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p><br>
<div><br>
<ul><li>Business Development &ndash; Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
</li></ul></div><ul><li>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li></ul>
<ul><li>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>You&rsquo;ll bring experience in transforming businesses through technology and re-defining the way clients operate. Comfortable at working in a technology-driven environment, you will bring proven skills and experience in some of the following areas:</p>
<ul><li>Practical experience with ITIL V4 and/or V5 best practices and frameworks, including Incident, Change Management, Problem Management, and Service Desk operations with an interest in how these processes evolve through automation and AI-enabled tooling.</li></ul>
<ul><li>ITIL V4 and/or V5 Foundation or higher-level certification demonstrating formal training and understanding of ITIL processes will be highly valued.</li></ul>
<ul><li>Hands-on familiarity with GenAI tooling and platforms and an understanding of how these integrate into cloud operating models and ITSM workflows.</li></ul>
<ul><li>Experience of strong interest in agentic AI patterns and how autonomous agents are beginning to reshape IT operations and service delivery.</li></ul>
<ul><li>Experience with DevOps principles and practices, including continuous integration (CI), continuous deployment (CD), automated testing, infrastructure as code (IaC), and modern delivery pipelines.</li></ul>
<ul><li>Well versed with managing and architecting solutions on major cloud platforms such as AWS, Azure, or Google Cloud, including services like compute, storage, networking, and security.</li></ul>
<ul><li>Knowledge of cloud security best practices and compliance requirements, ensuring that cloud environments and automated services are secure, resilient, and adhere to industry standards and regulations.</li></ul>
<ul><li>Currently working in a major Consulting firm, and/or in industry but having a Consulting background.</li></ul>
<ul><li>Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.</li></ul>
<ul><li>Experience of proposition building and delivery.</li></ul>
<ul><li>Demonstrated curiosity and continuous learning in the AI space, whether through certifications, personal projects, published thinking, or active contribution to AI-related communities or internal practice development.</li></ul>
<ul><li>Business development &ndash; Utilising a combination of the organisation&rsquo;s broader pre-existing relationships, company relationships and your own network.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><ul><li>Client engagements give you the opportunity to work with our leadership and experienced consulting management, where you can learn from them, challenge them and accelerate your hands-on experience, delivery capability and industry insights.</li>
<li>You&rsquo;ll learn how we write compelling client propositions, structure and lead high-profile transformation, and gain hands-on exposure to leading technologies, often taking an idea from a concept to a vision, to strategy and then execution</li>
<li>Our consultants are formally trained from industry experts on management consulting and client delivery.</li>
<li>We provide a host of opportunities for learning and certification through internal and partner led programmes from AWS, Google, ServiceNow and Microsoft.</li>
<li>Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities which will help us and our clients to succeed.</li>
<li>We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients.</li>
<li>There are many opportunities like monthly team drinks to connect face-to-face with the wider team over a few drinks in the city. There are regular leadership connect sessions that will give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
<br>
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
<br>
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>WE'RE A DISABILITY CONFIDENT EMPLOYER</b></h2>
</div><div><p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p><br>
<div><br>
<ul><li>Declare they have a disability, and
</li><li>Meet the minimum essential criteria for the role.
</li></ul></div><p>Please opt in during the application process.</p></div></div></div></div></div></div></div>

AI Platform & Site Reliability Engineering Consultant/Senior Consultant - Cloud Operating Model

Kandou AI

<div><p>At <b>Kandou</b>, we are redeﬁning the economics of AI infrastructure. Our mission is to <b>democratise AI by signiﬁcantly reducing the Total Cost of Ownership (TCO) </b>of hardware systems &mdash; a critical barrier to scalable adoption.</p><div></div><p><br>
Our proprietary <b>MIMO-over-copper technology </b>powers a <b>high-performance, chiplet-based AI memory fabric </b>that is both <b>scalable and energy-efficient</b>. Unlike traditional interconnects, our solution <b>reduces power consumption signiﬁcantly </b>while preserving <b>high bandwidth and ultra-low latency </b>&mdash; unlocking unprecedented efficiency for AI training and inference at scale.</p><div></div><p><br>
Kandou&rsquo;s architecture is not just an incremental improvement &mdash; it&rsquo;s a <b>foundational shift </b>in how AI hardware is built for the future.</p><div></div><p><br>
Job Title: <b>Quality Systems Manager</b></p><p><b>
Location: Preferably UK (Cambridge or Reading) - Other location in Europe possible</b></p><p></p><p><b>
Responsibility and Authority</b></p><ul><li><p>
Design, deliver and manage our quality management system (QMS) in accordance with ISO 9001, (2015 and then transition to 2026), and company requirements.</p></li><li><p>
Responsible for quality document administration and control, including Kandou&rsquo;s Document (DMS) and Issues Management Systems (IMS).</p></li><li><p>
Responsible for internal audit of the QMS, support supplier/customer audits and manage the relevant corrective actions/preventative actions (CAPA).</p></li><li><p>
Champion customer/legislative driven quality, environmental and ethical initiatives e.g. Responsible Business Alliance, Cyber Security, Green House Gas emissions, etc.</p></li><li><p>
Own &amp; present quality metrics, and improvement plans, to management team.</p></li><li><p>
Owner of all internal Quality processes e.g. change management, 5S audits, organisational risk management, etc.</p></li><li><p>
Own and communicate Kandou&rsquo;s quality message to suppliers, employees, and customers.</p></li><li><p>
Work with commercial, engineering, and operational functions to prioritise and agree on a roadmap of activities for internal and external expectations regarding quality goals.</p></li><li><p>
Define and specify the implementation of quality standards, methods, metrics, and procedures for continuous improvement assuring product quality and business performance, including relevant KPI&rsquo;s.</p></li><li><p>
Candidate must demonstrate leadership, communication and influencing skills and is able to communicate with ease with customers, senior management and internal stakeholders.</p></li></ul><p><b>
Required Experience</b></p><ul><li><p>
5+ years&rsquo; experience of working with, and implementing, Quality Management Systems within the semiconductor and/or technology industries.</p></li><li><p>
Track record of defining quality processes &amp; procedures.</p></li><li><p>
Administration of document and issue management systems.</p></li><li><p>
Practical experience of data collection, pareto &amp; data analysis / trending.</p></li><li><p>
Practical experience of continuous improvement and structured problem solving.</p></li><li><p>
Experience of ISO9001 implementation, maintenance and certification. Equivalent knowledge of IATF16949 and/or ISO14001 is desirable.</p></li><li><p>
Thorough knowledge of quality improvement tools.</p></li><li><p>
Experience in effective collaboration with design, development and manufacturing organizations, particularly as relates to design and product realisation processes.</p></li></ul><p><b>
Required Skills</b></p><ul><li><p>
Excellent verbal / written communication, interpersonal and functional team building skills.</p></li><li><p>
Working understanding of statistical decision-making methods including process .capability analysis/MSA and DoE. Ability to use statistical analysis tools a plus.</p></li><li><p>
Knowledge of 6 Sigma methods and techniques, process control systems, process capability, measurements systems analysis, FMEA, corrective &amp; preventive action, and continuous improvement programs.</p></li><li><p>
Competent with Office Products, e.g. Visio, Word, Excel and PowerPoint.</p></li><li><p>
Able to plan &amp; conduct/support internal, supplier &amp; customer audits.</p></li><li><p>
Self starter with the ability to identify issues, work independently, meet the challenge and effect a solution.</p></li><li><p>
Practical understanding/application of quality design toolset e.g. FMEA, APQP, etc.</p></li><li><p>
Expert knowledge of ISO9001:2015 and it&rsquo;s application in a technology organisation</p></li></ul><p><b>
Required Education</b></p><ul><li><p>
Minimum Bachelor&rsquo;s degree in relevant discipline and/or relevant vocational experience</p></li></ul><p>
Kandou.ai | Revolutionizing AI Infrastructure</p></div>

Quality Systems Manager

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Software Engineer II at JPMorgan Chase on the Pathfinder team, you are an active contributor in an agile team that builds and delivers trusted technology products in a secure, stable, and scalable way. The Pathfinder team owns the Application and Infrastructure Blueprint ecosystem across JPMC via the Kickstart Platform, enabling developers to build and deploy modern apps on Public Cloud (AWS) and Private Cloud (GAP/GKP).</p><p><b>
Job responsibilities</b></p><ul><li>
Writes, tests, and deploys production-quality code with increasing autonomy
</li><li>Implements solutions across the Application Blueprint and Infrastructure Blueprint ecosystem</li><li>
Contributes to code review, pair programming, and shared design discussions</li><li>
Identifies opportunities for continuous improvement in team practices and delivery workflows</li><li>
Shares knowledge with peers and newer team members while continuing to learn from seniors</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and applied experience</li><li>
Hands-on experience in one or more languages such as Java, Python or Go</li><li>
Exposure to cloud platforms (AWS) and Infrastructure-as-Code tooling such as Terraform</li><li>
Familiarity with CI/CD practices and the Software Development Lifecycle</li><li>
Understanding of agile methodologies and consistent delivery within a sprint-based model</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with container and orchestration technologies such as AWS Lambda, Kubernetes (EKS), or AWS ECS</li></ul>
<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>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Cloud Software Engineer II

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Join a team that is redefining what's possible in cloud infrastructure engineering &mdash; where your contributions directly shape the technology powering global fixed income markets. At JPMorganChase, you'll work alongside talented engineers and product owners in a collaborative, growth-oriented environment that values curiosity, inclusion, and technical excellence. This is an exciting opportunity to build your skills in cloud-native infrastructure at scale, contribute to cutting-edge financial technology, and grow across both infrastructure and application development. If you're passionate about building resilient systems and want your work to have real-world impact, this is the role for you.</p><p>
As a Software Engineer II at JPMorganChase within the Global Technology team, you will be a key contributor on the infrastructure side of the team, supporting the cloud infrastructure that underpins Portfolio Management capabilities for the Fixed Income business. You will help build, manage, and support the AWS infrastructure for various portfolio management services &mdash; including what-if analysis, order sizing, automated pre-trade compliance checks, and order submission &mdash; ensuring these systems are reliable, scalable, and production-ready. You will be part of a cross-functional team of engineers and product owners building the Spectrum Portfolio Management Fixed Income product, working primarily on a large, Terraform-driven estate on AWS, with the opportunity to grow into server-side development in Java (Spring Boot) and Kotlin over time.</p><p><b>
Job responsibilities</b></p><ul><li>
Build and maintain scalable, resilient AWS infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and Lambda</li><li>
Support Amazon EKS lifecycle operations, including cluster version upgrades, node group and add-on updates, and remediation with minimal disruption to production workloads</li><li>
Monitor and support the health of the AWS estate, including triage, root-cause analysis, remediation, and participation in incident and problem management processes</li><li>
Contribute to the build and maintenance of CI/CD pipelines (e.g., Jenkins) that apply infrastructure changes safely and reliably</li><li>
Instrument the estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene</li><li>
Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according to sensitivity and security requirements</li><li>
Contribute to server-side development on the Spectrum Portfolio Management Fixed Income product (Java and/or Kotlin, Spring Boot) as your skills expand</li><li>
Support a team culture of diversity, inclusion, opportunity, and respect</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and expanding applied experience</li><li>
Foundational, hands-on experience with Infrastructure as Code using Terraform &mdash; writing, structuring, and maintaining stacks to provision and manage cloud resources</li><li>
Working knowledge of core AWS services including EC2/networking (VPC), IAM, RDS, S3, KMS, Secrets Manager, and CloudWatch</li><li>
Foundational experience with Amazon EKS and Kubernetes, including deploying workloads and supporting cluster operations</li><li>
Practical experience working with cloud infrastructure on AWS in a production or near-production environment</li><li>
Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems</li><li>
Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity</li><li>
Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with relational databases in the cloud (e.g., Oracle on RDS, SQL fundamentals) and event-driven messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS)</li><li>
Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python)</li><li>
Familiarity with server-side development in Java and/or Kotlin using the Spring Boot ecosystem</li><li>
Exposure to multi-region or disaster-recovery architecture patterns with automated failover</li><li>
Domain awareness in financial services, including capital markets, trading workflows, or portfolio management concepts</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 Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Software Engineer II (AWS Infrastructure)

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