software engineer

ai engineer

platform engineer

analytics engineer

infrastructure engineer

ai engineer uk

Meltwater

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the Role
  <br/>
  <br/>
 </strong>
 We are seeking a dynamic AI Engineer with 5+ years of experience to join our growing team. You will be responsible for designing, building, and deploying cutting-edge AI solutions that deliver autonomous, user-facing capabilities. This role focuses on creating LLM-powered applications &amp; data enrichments, agentic workflows, and intelligent systems that directly impact our users' experiences.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 As an AI Engineer on our team, you will take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization. You'll architect and implement LLM-powered applications &amp; enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users' experiences. Your work will involve orchestrating large language models, building sophisticated prompt engineering frameworks and fine-tuning.
 <br/>
 <br/>
 You'll be responsible for deploying and operating these LLM applications at scale, ensuring they perform reliably in production environments. This includes containerizing AI services, implementing deployment pipelines for rapid iteration, and establishing monitoring systems that track both performance metrics and AI-specific indicators like response quality, hallucination rates, and autonomous decision accuracy.
 <br/>
 <br/>
 Your role encompasses ensuring our AI systems are production-ready and enterprise-grade. You'll manage the infrastructure that powers our AI applications, optimizing for both performance and cost-effectiveness, establishing automated evaluation frameworks for LLM applications, and building robust fallback mechanisms. You'll ensure our AI systems meet security and compliance requirements while maintaining the ability to rapidly iterate and improve AI capabilities based on user feedback and performance data.
 <br/>
 <br/>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of hands-on experience in AI/ML engineering, software development, or related technical roles with demonstrable experience building and deploying AI-powered applications
  </li>
  <li>
   Good theoretical knowledge of AI, ML and NLP principles as demonstrated by a bachelor's or master's degree in computer science or equivalent degree.
  </li>
  <li>
   Strong programming proficiency in Python and familiarity with Java/Kotlin, with a solid understanding of API design, development and integration patterns
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  LLM and Generative AI Expertise
  <br/>
  <br/>
 </strong>
 Experience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc.
 <br/>
 <br/>
 Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflows
 <br/>
 <br/>
 <strong>
  Cloud, Deployment &amp; Operations Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with cloud AI/ML services (Azure preferred, also AWS or Google Cloud), container orchestration (Docker, Kubernetes), CI/CD deployment pipelines, automated testing for LLM applications, infrastructure monitoring, logging, and performance tracking
  </li>
  <li>
   Strong problem-solving abilities with experience debugging AI systems, optimizing performance bottlenecks, and implementing scalable solutions
  </li>
  <li>
   Collaborative mindset with excellent communication skills to work effectively with cross-functional teams in an agile environment, including product managers, data scientists, and platform engineers
  </li>
  <li>
   Continuous learning orientation with demonstrated ability to quickly adopt new AI technologies, frameworks, and best practices in this rapidly evolving field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of vector databases and RAG (e.g., OpenSearch, ElasticSearch) for semantic search and knowledge retrieval
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enjoy flexible paid time off options for enhanced work-life balance.
  </li>
  <li>
   Comprehensive health insurance tailored for you.
  </li>
  <li>
   Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
  </li>
  <li>
   Complimentary Calm App subscription for you and your loved ones, because mental wellness matters.
  </li>
  <li>
   Energetic work environment with a hybrid work style, providing the balance you need.
  </li>
  <li>
   Benefit from our family leave program, which grows with your tenure at Meltwater.
  </li>
  <li>
   Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Story
  <br/>
  <br/>
 </strong>
 At Meltwater, we believe that when you have the right people in the right environment, great things happen.
 <br/>
 <br/>
 Our platform empowers our 27,000 customers worldwide by transforming global media, social, and AI signals into actionable intelligence that leaders rely on to make faster, confident decisions.
 <br/>
 <br/>
 But we can&rsquo;t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
 <br/>
 <br/>
 Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other&rsquo;s successes along the way.
 <br/>
 <br/>
 We are innovators at the core who see the potential in people, ideas, and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.
 <br/>
 <br/>
 We&rsquo;re proud of our diverse team of 2,200+ employees in 50 locations across
 <br/>
 <br/>
 25 countries around the world. No matter where you are, you&rsquo;ll work with people who care about your success and get the support you need to unlock new heights in your career.
 <br/>
 <br/>
 We are Meltwater. We love working here, and we think you will too.
 <br/>
 <br/>
 "Inspired by innovation, powered by people."
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment.
 <br/>
 <br/>
 All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.
 <br/>
 <br/>
 Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
</div>


AI Engineer (UK)

Understanding Recruitment

<div>
 <p>
  <strong>
   AI Engineer &ndash; Agentic AI
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Want to build agentic AI that goes beyond prototypes and actually operates in high-stakes environments?
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a chance to build
  <strong>
   production AI systems from the ground up
  </strong>
  , with real ownership over architecture, model selection and deployment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What&rsquo;s in it for you?
 </p>
 <ul>
  <li>
   Build
   <strong>
    agentic AI systems
   </strong>
   that interact with tools and take actions
  </li>
  <li>
   Work on challenging problems around
   <strong>
    reliability, security and controlled AI deployment
   </strong>
  </li>
  <li>
   Potential to work across
   <strong>
    multimodal AI, perception and real-time sensor data
   </strong>
  </li>
  <li>
   High levels of technical ownership from day one
  </li>
  <li>
   Competitive salary +
   <strong>
    equity
   </strong>
  </li>
  <li>
   <strong>
    7% pension
   </strong>
   , private healthcare and free daily meals
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What you&rsquo;ll be doing
 </p>
 <ul>
  <li>
   Building core
   <strong>
    agentic AI product features
   </strong>
  </li>
  <li>
   Designing LLM architectures and agent workflows
  </li>
  <li>
   Evaluating models and choosing the right approach for each problem
  </li>
  <li>
   Integrating AI into complex production software
  </li>
  <li>
   Deploying across
   <strong>
    cloud and on-premise environments
   </strong>
  </li>
  <li>
   Improving the security, reliability and testing of AI systems
  </li>
  <li>
   Potentially working with
   <strong>
    object detection and multimodal models
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What you&rsquo;ll bring
 </p>
 <ul>
  <li>
   Experience building
   <strong>
    ML or AI systems in production
   </strong>
  </li>
  <li>
   Hands-on experience with
   <strong>
    LLMs and agentic AI
   </strong>
  </li>
  <li>
   Strong
   <strong>
    Python, Rust, C++ or Java
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    PyTorch, JAX or TensorFlow
   </strong>
  </li>
  <li>
   Exposure to
   <strong>
    LangGraph, Google ADK or similar
   </strong>
  </li>
  <li>
   Strong understanding of ML fundamentals and model trade-offs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Experience with
  <strong>
   MLOps, multimodal AI or constrained hardware
  </strong>
  is a bonus rather than a requirement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll need the
  <strong>
   right to work in the UK
  </strong>
  and be eligible for
  <strong>
   UK SC clearance
  </strong>
  . This is an
  <strong>
   office-first role
  </strong>
  with some flexibility.
 </p>
</div>


AI Engineer - Agentic AI

Cognizant

Cloud Architect (DevSecOps & LLMOps Engineer)
<br><b>Location:</b> London, United Kingdom (Hybrid – 50% work from client office)
<br><b>Employment Type:</b> Full-time
<br><b>Security Clearance:</b> Must hold or be eligible to obtain UK Security Check (SC) Clearance
<br>About the Role
<br>As a Cloud Architect (DevSecOps & LLMOps Engineer) , you will make an impact by designing, building, securing, and operating scalable cloud infrastructure and enterprise Generative AI applications that drive automation, observability, and modern LLMOps practices. You will be a valued member of our Cloud & AI Engineering team and work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies.
<br><br>
<b>In this role, you will:</b><br>
Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS native services.
<br>Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability.
<br>Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production BAU support.
<br>Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.
<br>Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.
<br>What You Need to Have to Be Considered
<br>Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform.
<br>Strong experience with DevSecOps practices including GitHub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.
<br>Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation.
<br>Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure, and implement API proxy workflows, authentication, routing, policies, transformations, and API integrations.
<br>Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting.
<br>Excellent communication, stakeholder management, and client-facing skills.
<br>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
<br>Must currently reside in the United Kingdom.
<br>Must be available to start within 4 weeks of receiving an offer.
<br>Must hold or be eligible to obtain UK Security Check (SC) Clearance.
<br>These Will Help You Stand Out
<br>Experience with Kubernetes/EKS, Docker, ServiceNow, Jira, GitHub Runners, CloudFormation, Route 53, WAF, EventBridge, Step Functions, and serverless architectures.
<br>Hands-on experience with Python development for automation, API integrations, scripting, and cloud-native application development.
<br>Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows.
<br>Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques.
<br>Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support.
<br><br>
<b>Additional eligibility requirements:</b><br>
<ul>
<li>Candidates must hold or be eligible to obtain UK Security Check (SC) Clearance</li>
<li>Candidates must be available to start within 4 weeks of receiving an offer.</li>
</ul>
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Cloud Architect

National Grid

<div><div><div><div><div><div><div>Team</div>
<div><b>Information Technology and Digital</b>
</div><div>Business Unit</div>
<div><b>IT and Digital</b>
</div><div>Requisition No.</div>
<div><b>10530</b>
</div><div><div>City</div>
<div><b>London, GB, WC1A 2TH</b>
</div><div><b>Warwick, GB, CV34 6DA</b>
</div></div><div>Date posted</div>
<div><b>27 August 2026</b></div></div></div><p></p><div><br>
</div></div><div></div><div><h1 class="jobSectionHeader"><b>Senior AI Full Stack Engineer</b></h1><div><div><div><div><br>
</div><div><p>At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Senior AI Full Stack Engineer </b>and find your superpower.</p>
<p>This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.</p>
<p>An immediate focus for the role is the Strategic Review platform: National Grid&rsquo;s internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.</p>
<p>The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and &mdash; where appropriate &mdash; AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.</p>
<p>This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.</p>
<p><b>This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic</b></p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
</div><div><p>We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.</p>
<p>This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.</p>
<p>An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.</p>
<p>The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.</p>
<p>The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.</p>
<p>This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Do
</b></h3></div><div><div><h4 class="jobSectionHeader"><b>AI Product Development</b></h4>
<ul><li>Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.</li>
<li>Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.</li>
<li>Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.</li>
<li>Translate business requirements into scalable, maintainable technical solutions.</li>
<li>Create reusable patterns for AI chat, workflow automation, content generation, and analytics.</li>
<li>Integrate AI capabilities into existing products and business processes.</li>
<li>Ensure high standards of performance, security, accessibility, maintainability, and code quality.</li>
</ul><h4 class="jobSectionHeader"><b>Agentic Systems &amp; Conversational AI</b></h4>
<ul><li>Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.</li>
<li>Develop integrations with enterprise applications, APIs, and approved data sources.</li>
<li>Define agent state, memory, context management, validation rules, retry logic, and failure handling.</li>
<li>Implement human-in-the-loop approval processes for sensitive or high-impact actions.</li>
<li>Ensure transparency through source attribution, execution tracking, and auditability.</li>
</ul><h4 class="jobSectionHeader"><b>AI Quality, Evaluation &amp; Observability</b></h4>
<ul><li>Develop evaluation frameworks, test datasets, and quality metrics for AI features.</li>
<li>Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.</li>
<li>Implement logging, tracing, monitoring, and observability capabilities for AI workflows.</li>
<li>Continuously improve prompts, models, tools, and workflows through data-driven feedback.</li>
<li>Manage prompts, model configurations, and evaluation criteria as version-controlled assets.</li>
</ul><h4 class="jobSectionHeader"><b>Data &amp; Integration</b></h4>
<ul><li>Integrate AI capabilities with structured and unstructured enterprise data sources.</li>
<li>Implement retrieval, grounding, and context-engineering strategies to improve response quality.</li>
<li>Build secure integrations with APIs, content management systems, data platforms, and business applications.</li>
<li>Ensure compliance with data security, authorization, governance, and audit requirements.</li>
<li>Support source attribution, data lineage, and information freshness controls.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h4>
<ul><li>Write clean, tested, maintainable code following established engineering standards.</li>
<li>Participate in architecture reviews, technical design discussions, and code reviews.</li>
<li>Implement automated testing across applications, integrations, and AI workflows.</li>
<li>Support continuous delivery while managing technical debt and maintaining enterprise standards.</li>
<li>Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration &amp; Leadership</b></h4>
<ul><li>Partner with Product, Design, Architecture, Security, Data, and Engineering teams.</li>
<li>Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.</li>
<li>Communicate technical recommendations, trade-offs, and risks to stakeholders.</li>
<li>Mentor engineers and contribute to AI engineering standards and best practices.</li>
<li>Help establish scalable frameworks for enterprise AI product delivery.</li>
</ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get
</b></h3></div><div><ul><li>Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.</li>
<li>Strong professional experience with TypeScript and React.</li>
<li>Experience building modern full-stack web applications using frameworks such as Next.js.</li>
<li>Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.</li>
<li>Experience with the Vercel AI SDK or comparable AI application frameworks.</li>
<li>Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.</li>
<li>Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.</li>
<li>Experience integrating large language models with application data and external services.</li>
<li>Ability to design clear boundaries between deterministic code and model-driven behaviour.</li>
<li>Strong understanding of API design, authentication, authorisation and secure data handling.</li>
<li>Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.</li>
<li>Understanding of AI evaluation, observability, grounding and common failure modes.</li>
<li>Ability to translate ambiguous product requirements into sound technical designs and working software.</li>
<li>Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.</li>
<li>Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.</li>
<li>Clear written and verbal communication with both technical and non-technical audiences.</li>
<li>High degree of autonomy and ownership from discovery through production support.</li>
</ul></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get</b></h3>
</div><div><ul><li>Competitive Salary: circa &pound;65,000 - &pound;80,000 per annum (dependent on location, capability, and experience).</li><br>
</ul><p><br>
<b>Additional benefits:</b><br>
<br>
</p><ul><li>Flexible benefits such as a cycle scheme, share incentive plan, technology schemes</li>
<li>Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave &ndash; so long as it is relevant to your role</li>
<li>Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness</li>
<li>Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare</li>
</ul><p>#LI-RK1 #LI-HYBRID</p>
</div></div></div><p>We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates &ndash; we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.</p>
<p>Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.</p></div></div></div></div></div><div></div>

Senior AI Full Stack Engineer

Scalo

<div><div><p>At Scalo, we are dedicated to delivering software projects. We help our partners grow their businesses by creating software that enables people to work faster, make a difference and achieve better results. Our company uses a wide range of IT services to assist our clients.</p>
<p>
Our areas of expertise include technology consultancy, software development, embedded systems, cloud solutions, data management, and dedicated development teams.</p>
</div>
<h2 class="jobSectionHeader"><b>Hi! Explore cooperation opportunities with Scalo!</b></h2>
<h2 class="jobSectionHeader"><b>Scope of cooperation:</b></h2>
<ul><li>developing and enhancing customer-facing applications in the area of backup, disaster recovery, and IT resilience,</li>
<li>building frontend solutions using React and TypeScript,</li>
<li>developing backend services and REST APIs with C#/.NET or Node.js,</li>
<li>working with SQL Server / Azure SQL and Microsoft Azure,</li>
<li>transforming prototypes and legacy solutions into secure, scalable, production-ready applications,</li>
<li>taking ownership of applications across development, deployment, support, and further improvements,</li>
<li>working with automated testing, code reviews, CI/CD pipelines, and AI-assisted development tools,</li>
<li>collaborating remotely with international engineering teams, mainly based in the UK,</li>
<li>working 7.5 hours per day according to UK business hours and the UK holiday calendar,</li>
<li>rate: up to 30 GBP/h on a B2B contract.</li>
</ul><h2 class="jobSectionHeader"><b>Required competencies:</b></h2>
<ul><li>commercial experience as a Fullstack Software Engineer at Regular+ or Senior level,</li>
<li>strong experience with React and TypeScript,</li>
<li>commercial experience with C#/.NET or Node.js,</li>
<li>practical experience with REST APIs and SQL Server / Azure SQL,</li>
<li>experience with Microsoft Azure and modern CI/CD practices,</li>
<li>experience taking ownership of applications and supporting production systems,</li>
<li>knowledge of secure coding practices, automated testing, and code reviews,</li>
<li>experience with AI-assisted development tools,</li>
<li>ability to work independently in an international remote environment,</li>
<li>fluent English at <b>C1 level or higher</b>,</li>
<li>availability to work according to UK business hours.</li>
</ul><h2 class="jobSectionHeader"><b>What you can expect when cooperating with us</b></h2>
<p></p>
<div><ul><li>Opportunity to deliver projects across Software, Embedded, Data, Cloud Services and AI.</li>
<li>Opportunity to participate in expert initiatives and support presales processes.</li>
<li>Medical care, a sports card and a cafeteria platform available in line with the applicable cooperation rules.</li>
</ul></div><div></div>Technology stack - enter 3 - 4 main technologies, separated by commas, e.g.: Java, AWS, Spring, Hibernate
<p>
React, Node, Typescript</p>
Cooperation model - if you need change for Contract of mandate
<p>
B2B</p>
Experience level enter: Junior, Regular, Senior, or Expert
<p>
Senior</p>
Salary enter the upper end of the salary range, e.g. up to 150 PLN/h (B2B)
<p>
up to 30 GBP/h</p>
Service delivery model enter: Remote, Hybrid, or On-site
<p>
Remote</p>
<h2 class="jobSectionHeader"><b>
See how to start cooperating with Scalo:</b></h2></div>

Senior Fullstack Developer (React/Node.js)

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p><b>Job Description</b></p><p><br>
At JPMorganChase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.</p><p>
As a Software Engineer III at JPMorganChase within the International Consumer Bank, you will be joining our Cloud Platform Engineering tribe in the Compliance Platform Engineering team. This team owns the security controls, compliance tooling, and guardrails that underpin the Chase UK cloud platform, trusted by over 2 million customers. You will work at the intersection of DevSecOps and platform engineering, embedding security into how we build and ship software in a regulated cloud-native environment.</p><p>
This is a hands-on engineering role. The core of the work is understanding how services and cloud infrastructure are built, identifying where the risks are, and working with engineering teams to address them. You will build the tooling and automation that gives the business continuous visibility of its security posture, design and enforce cloud guardrails, and help teams understand and remediate their exposure. You will collaborate closely with platform engineers, product squads, and risk and governance teams.</p><p><b>
Job responsibilities</b></p><ul><li>
Perform threat modelling of platform services and cloud infrastructure, translating findings into clear, actionable remediation guidance for engineering teams</li><li>
Design and implement cloud security guardrails and policy-as-code controls to enforce secure configuration at scale</li><li>
Build and maintain automation to detect, enrich, and report on security findings and compliance posture across AWS environments</li><li>
Assess and track vulnerability findings, providing contextual analysis to help teams understand and prioritize remediation</li><li>
Contribute to software supply chain security practices including dependency analysis and policy enforcement</li><li>
Work with risk, governance, and control teams to support audit evidence collection, reporting, and policy adherenceSupport runtime security tooling for production risk visibility and contribute to incident response activities including triage, investigation, and runbook development</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><b><br>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and proficient applied experience</li><li>
Hands-on experience in a DevSecOps, cloud security, or compliance platform engineering role operating in AWS</li><li>
Practical experience with threat modelling methodologies (e.g., STRIDE or equivalent) applied to cloud services or distributed systems</li><li>
Good working knowledge of AWS cloud security services including Identity and Access Management, CloudTrail, GuardDuty, Security Hub, and Key Management Service</li><li>
Experience building security automation and tooling using scripting or programming languages such as Python, Go, or Bash</li><li>
Good knowledge of infrastructure-as-code practices using tools such as Terraform</li><li>
Hands-on experience with Kubernetes and container orchestration in production environments</li><li>
Working knowledge of compliance frameworks relevant to financial services, such as PCI-DSS, ISO 27001, or NIST</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><b><br>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with cloud security tooling such as Wiz, Snyk, Semgrep, or Trivy</li><li>
Familiarity with policy-as-code tools such as Sentinel, Kyverno, or Checkov</li><li>
Knowledge of software supply chain security concepts including bill of materials, supply chain security frameworks, and dependency governance</li><li>
Familiarity with the UK regulatory environment including Financial Conduct Authority and Prudential Regulation Authority requirements</li><li>
AWS Security Specialty certification or equivalent</li></ul><p>
</p><p>#ICBCareers<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>
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 - DevSecOps / Compliance Platform Engineering

Brave

<div>
 <p>
  <strong>
   AI Systems Researcher / Research Engineer
  </strong>
 </p>
 <p>
  <strong>
   UK: London (Preferred) - Hybrid
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Brave
  </strong>
 </p>
 <p>
  Brave is on a mission to protect the human right to privacy online. We&rsquo;ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a
  <em>
   truly
  </em>
  independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what&rsquo;s true and what&rsquo;s not. Brave is fighting back. Join us!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Summary
  </strong>
 </p>
 <p>
  Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We&rsquo;re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you&rsquo;re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you
  </strong>
 </p>
 <p>
  An ideal candidate will have a mix of skills that include the following:
 </p>
 <ul>
  <li>
   Demonstrates a high level of initiative and consistently delivers high-quality solutions
  </li>
  <li>
   Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
  </li>
  <li>
   Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
  </li>
  <li>
   Want to be part of a high-growth startup company with global ambitions
  </li>
  <li>
   Experience with software development practices (Python, C++, JavaScript and/or Rust)
  </li>
  <li>
   Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
  </li>
  <li>
   Comfortable working in an open-source setting
  </li>
  <li>
   Able to create and deploy mobile/desktop applications and systems
  </li>
  <li>
   Has a passion for helping protect users&rsquo; privacy and security
  </li>
  <li>
   A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Specific Skills
  </strong>
 </p>
 <ul>
  <li>
   Background and/or previous work in AI systems research and performance evaluation.
  </li>
  <li>
   Expertise in optimizing and evaluating ML models and/or privacy &amp; security technologies for on-device performance.
  </li>
  <li>
   Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills That Will Set You Apart from the Competition
  </strong>
 </p>
 <ul>
  <li>
   ML Systems (pipelines, performance evaluation, etc.)
  </li>
  <li>
   Open source projects on mobile/desktop systems optimization
  </li>
  <li>
   Experience with confidential computing and security/privacy protocols
  </li>
  <li>
   Ph.D. in computer science from a top-tier school
  </li>
  <li>
   A strong publication record in premier systems, performance, or ML
  </li>
  <li>
   Work experience in industry is desirable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Working at Brave - What we offer
  </strong>
 </p>
 <ul>
  <li>
   Ability to work at an exciting and well-funded international startup headquartered in San Francisco
  </li>
  <li>
   Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
  </li>
  <li>
   Competitive compensation and plenty of room for personal growth
  </li>
  <li>
   Great international exposure and team atmosphere
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are looking to hire in London but would
  <em>
   consider
  </em>
  an exceptional candidate in the rest of Europe.
 </p>
 <p>
  <br/>
 </p>
 <p>
  NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.
 </p>
 <p>
  <br/>
 </p>
</div>


AI Systems Researcher/Research Engineer

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