software engineer

senior engineer

system engineer

ai engineer

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

NatWest Group

<div><p>Closing date for applications: 02/09/2026</p>
<div>
<div><p>Location Glasgow, United Kingdom</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Mostly Remote</p>
<p></p><div><div><p>You&rsquo;ll spend most of your time at home, working with your team digitally. You&rsquo;ll come into an office or hub at least twice a month to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Managerial / Technical Lead</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00283247</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a DevOps Engineer, Network Automation</p>
<p></p><ul><li>We&rsquo;re looking for a DevOps Engineer to join our Network Automation team, helping design, build and operate automation capabilities that make network and infrastructure services faster, safer and more reliable</li>
<li>You&rsquo;ll work across automation, infrastructure-as-code and network-as-code practices, supporting secure, compliant and auditable change within a highly regulated financial services environment</li>
<li>This is your opportunity to deepen your expertise across modern automation, cloud-native platforms and AI-enabled engineering while working on business-critical infrastructure</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>As a DevOps Engineer, you&rsquo;ll help develop and enhance automation patterns, pipelines and tools that support network and infrastructure services from concept through to operational support. Working closely with engineers, platform teams and service owners, you&rsquo;ll build reusable automation, improve delivery efficiency and embed DevOps best practice across the engineering lifecycle.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Designing, building and maintaining network and infrastructure automation using modern DevOps practices</li>
<li>Delivering automation through code-based CI/CD pipelines, with GitLab experience helping you hit the ground running</li>
<li>Applying infrastructure-as-code and network-as-code principles to create repeatable, controlled and auditable delivery patterns</li>
<li>Embedding security, compliance and risk controls into automation and pipeline design</li>
<li>Supporting automated change, incident and operational workflows, including ServiceNow integration where appropriate</li>
<li>Working with container platforms such as OpenShift or Kubernetes to support automation services and workloads</li>
<li>Exploring practical uses of AI-enabled tooling and workflows to improve operational efficiency, engineering productivity and service reliability</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone with hands-on engineering experience, a strong automation mindset and a solid understanding of enterprise networking. You&rsquo;ll be comfortable working in a DevOps environment where quality, security and operational resilience are built into every stage of delivery. You&rsquo;ll also bring experience of network automation within large-scale financial services or other regulated environments.</p>
<p></p><p>You'll also need experience using AI-enabled tooling to improve engineering outcomes, and scripting capability in Python and Shell for automation workflows, integrations and operational tooling, along with hands-on experience with Ansible and Ansible Automation Platform for network and infrastructure automation at scale.</p>
<p></p><p>You&rsquo;ll also demonstrate:</p>
<ul><li>Experience delivering automation through code-based CI/CD pipelines, with knowledge of GitLab, Jenkins, Azure DevOps or similar platforms</li>
<li>Solid understanding of enterprise networking concepts, including DNS, LDAP, load balancing and traffic management</li>
<li>Ability to embed security practices into CI/CD pipelines so changes are compliant, auditable and risk-aware.</li>
<li>Familiarity with ServiceNow or similar IT service management tooling for change, incident and workflow automation</li>
<li>Experience with OpenShift, Kubernetes or similar container for deployment and workload management</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Tap each segment for details.</p>
</div><div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><p>100% Base pay This is your base pay package that you take home every month.</p> <p>+10% Pension funding This is monthly funding paid towards your pension.</p> <p>up to +10% Benefit funding This is monthly funding paid towards a range of benefits you can choose from.</p>
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>30 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

DevOps Engineer, Network Automation

<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

Speechify

<div><p><b>Mission</b></p>
<p>
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.</p>
<p>
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.</p>
<div><b>
About SIMBA Voice Agents by Speechify</b></div>
<div></div>
<div>SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish them luck &mdash; every customer gets a Forward Deployed Engineer who builds their agents, joins their Slack, and iterates with them weekly. We're building the future of voice AI, and we're looking for someone who can sell that vision and help bring it to life<br>
<br>
<b>About the Role</b></div>
<div>
<p>As an Account Executive / Go-to-Market, you're equal parts dealmaker and builder. You'll own the full sales cycle for new customers &mdash; from first call to close &mdash; while also getting hands-on during technical evaluations, demos, and early deployment. You understand that selling voice AI isn't just about pitching features; it's about showing prospects exactly how SIMBA fits into their world and making that first integration feel effortless.</p>
<p>
This is a rare role for someone who can command a boardroom and open a terminal.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Own the full sales cycle from prospecting through close for mid-market and enterprise accounts</li>
<li>Run technically deep discovery calls to understand customer use cases, tech stack, and integration requirements</li>
<li>Build and demo custom voice agent prototypes during the sales process to accelerate buy-in</li>
<li>Partner with Forward Deployed Engineers to ensure a seamless handoff from sale to onboarding</li>
<li>Develop GTM playbooks, messaging, and outbound strategies to help SIMBA break into new verticals</li>
<li>Represent customer needs internally, influencing product roadmap and packaging decisions</li>
<li>Maintain a clean pipeline in CRM and accurately forecast revenue</li>
</ul></div><div><b>What We're Looking For</b></div>
<ul><li>3&ndash;6 years of experience in a sales, account executive, or GTM role at a technical B2B company</li>
<li>Track record of closing deals with both technical buyers (CTOs, engineers) and business stakeholders</li>
<li><i>Comfortable getting hands-on with APIs and no-code/low-code tools to build compelling demos</i></li>
<li>Strong understanding of the AI/ML or voice technology landscape &mdash; you follow this space closely</li>
<li>Exceptional communicator who can simplify complex technical concepts without losing their depth</li>
<li>Highly self-directed with strong pipeline discipline and a bias toward action</li>
</ul><div><b>Nice to Have</b></div>
<ul><li>Experience selling AI, voice, or conversational technology</li>
<li><i>Familiarity with telephony infrastructure, contact centers, or customer experience platforms</i></li>
<li>Prior experience in a forward deployment or solutions engineering capacity</li>
<li>Multilingual or experience selling into international markets</li>
</ul><div><b>Why Speechify SIMBA</b></div>
<ul><li>Sell a product that genuinely impresses prospects &mdash; sub-second latency and 71+ languages speaks for itself</li>
<li>High ownership role with direct input on GTM strategy and positioning</li>
<li>Work alongside a team that stays embedded with customers, so you're never selling something that doesn't deliver</li>
<li>Competitive base + commission, equity, and benefits</li>
<li>Fast-moving startup environment where your wins have outsized impact</li>
</ul>
<p><b>Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div><p></p>

Go-to-Market - Glasgow, United Kingdom

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p></p><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>
</p><p>As a Lead Software Engineer at JPMorgan Chase within the award-winning Vida team that is part of the Corporate and Investment Bank Markets Business, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products with a focus on security, stability, and scalability.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li><p>
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</p></li><li><p>
Develops secure high-quality production code, and reviews and debugs code written by others</p></li><li><p>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</p></li><li><p>
Leads 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</p></li><li><p>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</p></li><li><p>
Adds to team culture of diversity, opportunity, inclusion, and respect</p></li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment 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>
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><p>
Significant commercial experience developing UI's with hands-on applied experience developing in React</p></li><li><p>
Hands-on practical experience delivering system design, application development, testing, and operational stability</p></li><li><p>
Advanced in one or more programming language(s)</p></li><li><p>
Proficiency in automation and continuous delivery methods</p></li><li><p>
Proficient in all aspects of the Software Development Life Cycle</p></li><li><p>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</p></li><li><p>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</p></li><li><p>
In-depth knowledge of the financial services industry and their IT systems</p></li><li><p>
Practical cloud native experience</p></li><li><p>
Experience in developing, debugging and automated testing (e.g. react testing library / cypress) within a commercial setting</p></li><li><p>
Experience collaborating with backend technology teams in designing scalable and reusable RESTful APIs</p></li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use 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></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li><p>
Exposure to frontend libraries such as ag-grid, highcharts, redux as well as Typescript</p></li><li><p>
Exposure to performance tuning complex UI's would be advantageous.</p></li><li><p>
Working within Investment Bank / Finance Technology</p></li><li><p>
Team leading experience</p></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>
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>

UI Lead Software Engineer - React

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

Phlo Digital Pharmacy

<p><b>Software Engineer - Glasgow</b></p><p>We're looking for a full-stack developer to join Phlo as a Software Engineer. You'll work across our products and platforms as part of a close-knit team of developers, designers, testers and product owners, with the autonomy and influence to help shape the future of Phlo.</p><p><b>The Job</b></p><p>On a day-to-day basis, you'll be involved in:</p><ul><li>Working collaboratively with other engineers, designers, product owners and the wider business to deliver our vision of the pharmacy of the future.</li><li>Working collaboratively with other engineers, designers, product owners and the wider business to deliver our vision of the pharmacy of the future.</li><li>Working in small, collaborative teams where AI-assisted development is part of our day-to-day approach.</li><li>You'll use AI tools thoughtfully to spend less time on routine work and more time solving the problems that matter, while maintaining strong engineering judgement.</li><li>Building our products. You'll own and deliver substantial product changes alongside your team, working confidently across multiple areas of the codebase and improving the code as you go.</li><li>Breaking work down and taking it through to delivery. You'll turn complex tasks into clear objectives, work through them methodically and raise pull requests early and often.</li><li>Taking the lead on smaller projects, with the support of your team and manager and growing into larger ones.</li><li>Designing the technical approach for new features, making sure the solution is maintainable and fit for purpose.</li><li>Reviewing and testing the work of other engineers, thoroughly testing changes and guiding authors towards better solutions.</li><li>Researching technologies and approaches for upcoming work, then documenting your findings and recommendations clearly for the team.</li><li>Supporting our production systems, working issues through to resolution and</li><li>documenting what you learn to help others resolve similar issues more efficiently.</li><li>Helping the team improve. You'll advocate for better ways of working and take the initiative on the improvements you spot, proactively driving them forward</li><li>Contributing to engineering initiatives that improve how we build software across the team.</li><li>Sharing what you know by acting as a buddy to new joiners and helping others build their knowledge and confidence.</li><li>Working with technologies including TypeScript, React, Koa, Next.js, Vite, Playwright, Node.js, PostgreSQL, Kubernetes, GCP and Azure DevOps.</li></ul><p><b>The Person</b></p><p>Ideally, we're looking for someone with:</p><ul><li>Experience of full-stack web development. You'll be as comfortable using an SQL database as you are building APIs and responsive web applications.</li><li>Experience building, deploying and supporting software in production. You'll be comfortable taking an idea from concept through to a reliable product used by Phlo's patients and healthcare partners.</li><li>A good understanding of modern web and cloud technologies and the judgement to choose practical solutions.</li><li>Some experience of planning your own work and breaking larger problems into manageable tasks.</li><li>A solution-focused mindset. You'll work past problems and help the team and wider business reach their goals.</li><li>The ability to communicate technical concepts clearly to both technical and non-technical colleagues.</li><li>The ability to make change happen. You'll know how to identify the problems worth fixing and bring people along with you to get them solved.</li><li>An open and collaborative attitude. You'll enjoy helping others and making sure the team as a whole succeeds.</li><li>Curiosity about emerging technologies, including the thoughtful use of AI-assisted development, while maintaining strong engineering judgement and accountability.</li></ul><p><b>The Perks</b></p><p>And in joining Phlo, you'll receive a competitive package designed to support your wellbeing, development and success, including:</p><ul><li>Salary between &pound;48,000 - &pound;58,000 depending on experience</li><li>Opportunity to join a high growth health tech business</li><li>Opportunities for career progression as the business scales</li><li>Company Bonus Scheme - up to 10% depending on performance</li><li>33 days annual leave (inclusive of 8 bank holidays)</li><li>An extra day of annual leave for every complete year of service, up to 5 extra days</li><li>An extra day off for your Birthday to prolong the celebrations</li><li>Pension scheme - 5% employer contribution</li><li>Private Medical Insurance via Vitality</li><li>Bereavement Leave policy covering family, friends, pets, and miscarriage</li><li>Enhanced Maternity, Paternity and Adoption Pay after 1 year of service</li><li>Charity Day to support a cause that's important to you</li><li>Dependant Leave to take care of the people who rely on you</li><li>Duvet Days to rest and reset</li><li>Fertility Leave to support your journey to parenthood</li><li>Pawternity Leave to welcome a new pet</li><li>Menopause Leave to support employees</li><li>20% Staff Discount on Phlo Clinic products</li><li>8 x free professional counselling sessions to support your mental health</li><li>Perkbox membership for discounts and points</li><li>&pound;500 Employee Referral Scheme</li><li>Hybrid working, casual dress code and a great culture</li></ul><p>Please note, eligibility criteria for benefits applies.</p><p><b>Interested? Please apply now.</b></p><p>Closing date for applications is 07.09.26. Please note that the advert may close early, depending on application volume.</p><p><b>The Logistics</b></p><p>We're headquartered in the Onyx building on Bothwell St in Glasgow City Centre. We support a blend of in-person collaboration and flexible hybrid working.</p><p><b>About Phlo</b></p><p>Phlo is ranked 13th in the Sunday Times 100 Tech 2026, recognising it as one of the UK's fastest-growing technology companies. At Phlo, we're redefining modern healthcare - combining innovation, compassion and technology, putting patients at the heart of everything we do.</p><p>Our mission is to help people across the UK take control of their health by making access to care simpler, faster and more personal.</p><p>We're a team of professionals who share the same values - collaboration, curiosity and a genuine drive to make a difference. It's that shared purpose that makes Phlo a rewarding place to work and one where great idea&rsquo;s turn into meaningful impact. It's an incredibly exciting time to join Phlo as we continue to scale up rapidly. By joining the team, you will have an opportunity to grow our company and enhance our products from day one.</p><p>For more information about Phlo's services please visit www.phloclinic.co.uk, www.wearephlo.com or check out our socials and Trustpilot reviews!</p><p>To deliver great service to Phlo's patients we're building a company that's reflective of their diversity. We're an inclusive workplace that promotes and values difference, where everyone, from any background, can do their best work and be proud to belong.</p><p>Pay: &pound;48,000.00-&pound;58,000.00 per year</p><p>Benefits:</p><ul><li>Bereavement leave</li><li>Employee discount</li><li>Enhanced maternity leave</li><li>Private medical insurance</li><li>Referral programme</li></ul><p>Work Location: Hybrid remote in Glasgow G2</p>

Software Engineer

Explore 20+ Ai engineer in Glasgow this September. Find roles across top companies and apply now to boost your career.