ai engineer

senior ai engineer

analytics engineer

platform engineer

applied ai engineer

agent experience engineer eu uk based remote

Moss

<div><p><b>At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.</b></p><p><b>
Our team and culture make us unique &mdash; we&rsquo;re driven by impact and growth, where every one of us strives to learn and excel. Recognised by </b><b>Sifted&rsquo;s Rising 100</b><b> and </b><b>LinkedIn's Top Startups</b><b>, we&rsquo;re here to help propel your career and together, make Moss a lasting success.</b></p><p>
We are hiring an Applied AI Engineer to design, build, and deploy AI-powered products that transform how finance teams work. You will work with frontier language models to create intelligent services, agents, and workflows that deliver real customer value.</p><p></p><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><p></p><h3 class="jobSectionHeader"><b>
Build AI-Powered Products</b></h3><ul><li><p>
Design, develop, and deploy AI-enabled applications and services using state-of-the-art language models.</p></li><li><p>
Build intelligent agents and workflows that automate complex finance processes.</p></li><li><p>
Experiment with new AI capabilities and rapidly turn prototypes into production-ready features.</p></li></ul><h3 class="jobSectionHeader"><b>
Evaluate and Improve AI Systems</b></h3><ul><li><p>
Develop robust evaluation frameworks to measure quality, reliability, and business impact.</p></li><li><p>
Improve model performance through prompt engineering, retrieval-augmented generation (RAG), and other applied AI techniques.</p></li><li><p>
Ensure AI systems are accurate, trustworthy, and deliver a high-quality user experience.</p></li></ul><h3 class="jobSectionHeader"><b>
Design for Trust and Control</b></h3><ul><li><p>
Build AI systems that are transparent, auditable, and allow users to review and intervene when needed.</p></li><li><p>
Incorporate customer data into AI workflows while maintaining security and privacy standards.</p></li></ul><h3 class="jobSectionHeader"><b>
Collaborate Across Functions</b></h3><ul><li><p>
Partner closely with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions.</p></li><li><p>
Help shape Moss's AI product strategy and engineering best practices.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About You</b></h2><ul><li><p>
Degree in Computer Science, Mathematics, Engineering, or a related field.</p></li><li><p>
Minimum 4 years of professional engineering experience building and shipping production applications.</p></li><li><p>
Proven experience working with modern LLMs and AI application development.</p></li><li><p>
Strong programming skills in both Python and Java.</p></li><li><p>
Experience building backend services and APIs.</p></li><li><p>
Hands-on experience with AI agents, RAG systems, prompt engineering, or related applied AI techniques.</p></li><li><p>
Ability to balance rapid experimentation with production-quality engineering.</p></li><li><p>
Excellent problem-solving and communication skills.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Relevant Technologies</b></h2><p>
Candidates should have experience with a subset of the following technologies and be eager to learn others.</p><h3 class="jobSectionHeader"><b>
AI &amp; Machine Learning</b></h3><ul><li><p>
Frontier LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral, or similar</p></li><li><p>
Agent and orchestration frameworks: LangChain, LlamaIndex, Haystack, or similar</p></li><li><p>
Retrieval-Augmented Generation (RAG)</p></li><li><p>
Prompt engineering and evaluation methodologies</p></li><li><p>
Fine-tuning and model adaptation techniques</p></li></ul><h3 class="jobSectionHeader"><b>
Software Engineering</b></h3><ul><li><p>
Python and Java</p></li><li><p>
REST APIs and backend application development</p></li><li><p>
SQL and modern data storage technologies</p></li><li><p>
Distributed systems and scalable application design</p></li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li><p>
Experience building customer-facing AI products</p></li><li><p>
Experience in fintech, finance, or enterprise software</p></li><li><p>
Experience with cloud-based AI platforms such as Vertex AI, OpenAI, or Anthropic APIs</p></li></ul><p><b>
About Moss</b></p><p>
Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend. By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work.
</p><p>Founded in Berlin and used by more than 5,000 businesses including Flink, Schufa, Gusto and Auto1, Moss has raised &euro;200+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. Moss is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star and Portage.</p><p>
We have a team of 300+ people from 50+ nationalities in 5 offices across Europe. Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We&rsquo;re a place where you can fast track your career - here's <b>what else to expect:</b></p><ul><li><p>
Top-of-market compensation package, including equity.</p></li><li><p>
Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.</p></li><li><p>
Additional benefits include: 20 days &ldquo;work from abroad&rdquo;, 600EUR/GBP Learning &amp; Development Budget, and other local benefits.</p></li></ul><p><i>
Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).</i></p><p><b><i>
By applying for the above position, you will confirm that you have reviewed and agreed to our </i></b><b><i>Data Privacy Policy</i></b><b><i>.</i></b></p></div>

Applied AI 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)

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

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><h1 class="jobSectionHeader"><b>Forward Deployed Engineer &mdash; Agentforce Orchestration
</b></h1><p></p><h3 class="jobSectionHeader"><b>About the Role
</b></h3><p><b>As a Forward Deployed Engineer (FDE) focusing on </b><b>Agentforce Operations </b>, you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop.
</p><p><b>Operating in an agile deployment pod alongside a </b><b>Deployment Strategist </b>and <b>Specialized AI Engineers </b>, you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one.
</p><p></p><h3 class="jobSectionHeader"><b>What You'll Actually Be Building
</b></h3><ul><li><p><b>Workflow &amp; Multi-Agent Orchestration: </b>Build, configure, and optimize complex operational workflows using <b>AFO </b>, defining agent reasoning, tool-calling logic, and conditional execution loops.
</p></li><li><p><b>Agent Communication Protocols: </b>Implement modern agent-to-agent communication standards and the <b>Model Context Protocol (MCP) </b>to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
</p></li><li><p><b>Enterprise AI Grounding Systems: </b>Architect, build, and maintain real-time data grounding infrastructure using <b>RAG (Retrieval-Augmented Generation) </b>, vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
</p></li><li><p><b>Enterprise Integration &amp; API Management: </b>Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
</p></li><li><p><b>AI-Assisted Engineering: </b>Leverage modern AI tools ( <b>Cursor, Claude, Vibes </b>) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
</p></li><li><p><b>Telemetry &amp; Observability: </b>Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
</p></li><li><p><b>Field-to-Product Feedback: </b>Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>Required Qualifications
</b></h3><ul><li><p><b>3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
</b></p></li><li><p><b>High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
</b></p></li><li><p><b>Hands-on AI &amp; Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
</b></p></li><li><p><b>Multi-Agent Systems &amp; API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
</b></p></li><li><p><b>Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
</b></p></li><li><p><b>Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
</b></p></li><li><p><b>Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
</b></p></li><li><p><b>Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
</b></p></li><li><p><b>Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
</b></p></li><li><p><b>Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
</b></p></li><li><p><b>Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
</b></p></li><li><p><b>Willingness to travel 25-30% for on-site deployment with key enterprise accounts.
</b></p></li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li><p><b>Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
</b></p></li><li><p><b>Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
</b></p></li><li><p><b>Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
</b></p></li><li><p><b>Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.
</b></p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p>We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
<p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Agentforce Operations FDE

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data &amp; AI
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK - London
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Insurance isn&rsquo;t the first industry most engineers think of when they imagine cutting-edge AI work. That&rsquo;s exactly why this role is interesting.
 <br/>
 <br/>
 CFC&rsquo;s Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We&rsquo;re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
 <br/>
 <br/>
 We&rsquo;re also fundamentally rethinking how we deliver software. We&rsquo;re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
 <br/>
 <br/>
 This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You&rsquo;ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You&rsquo;ll collaborate closely with engineers, data scientists, and product managers in a team that&rsquo;s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
 <br/>
 <br/>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain business-critical AI agent services.
  </li>
  <li>
   Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
  </li>
  <li>
   Integrate tests and validation to improve AI agents through evals and monitoring.
  </li>
  <li>
   Work with software engineers and architects to lead system design and architectural decisions.
  </li>
  <li>
   Translate technical specifications into clean, testable, and scalable production code.
  </li>
  <li>
   Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
  </li>
  <li>
   Write unit and integration tests to maintain reliability and service correctness.
  </li>
  <li>
   Monitor, troubleshoot, and continuously improve production services.
  </li>
  <li>
   Produce clear, structured documentation for systems, architecture, and processes.
  </li>
  <li>
   Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You&rsquo;ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
 <br/>
 <br/>
 You&rsquo;ll have:
 <ul>
  <li>
   Significant experience building production-grade AI agents or LLM-powered services.
  </li>
  <li>
   Strong Python development experience, ideally with 6+ years of professional software engineering experience.
  </li>
  <li>
   A track record of writing clean, maintainable and high-quality production code.
  </li>
  <li>
   Experience supporting business-critical systems in live production environments.
  </li>
  <li>
   Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
  </li>
  <li>
   Experience designing distributed systems, asynchronous microservices and event-driven architectures.
  </li>
  <li>
   Confidence leading system design discussions and making pragmatic architectural trade-offs.
  </li>
  <li>
   Strong cloud experience, ideally within Azure.
  </li>
  <li>
   Experience deploying, monitoring and maintaining ML or LLM models in production.
  </li>
  <li>
   Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
  </li>
  <li>
   Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
  </li>
  <li>
   An interest in how agentic software development can improve engineering delivery without compromising code quality.
  </li>
  <li>
   Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
  </li>
  <li>
   An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  Love what you do:
  <br/>
 </strong>
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 <br/>
 <br/>
 <strong>
  Challenge everything:
  <br/>
 </strong>
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 <br/>
 <br/>
 <strong>
  Have fun, be good:
  <br/>
 </strong>
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>


Senior Machine Learning Engineer

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

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.<br>
</p><p></p><p>D360 FORWARD DEPLOYED ENGINEER
</p><h1 class="jobSectionHeader"><b>About Salesforce
</b></h1><p>Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases.
</p><h1 class="jobSectionHeader"><b>About the Role
</b></h1><p>Production implementation experience required. Builder mindset non-negotiable.
</p><p>Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce&rsquo;s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness.
</p><p>Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.
</p><p>You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff.
</p><p>This is a hands-on data and software engineering role . You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it.
</p><h1 class="jobSectionHeader"><b>What You'll Do
</b></h1><ul><li><p>Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls.
</p></li><li><p>Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric).
</p></li><li><p>Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
</p></li><li><p>Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data.
</p></li><li><p>Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.
</p></li><li><p>Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
</p></li><li><p>Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems.
</p></li><li><p>Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies.
</p></li><li><p>Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.
</p></li><li><p>Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead.
</p></li><li><p>Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value.
</p></li><li><p>Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations.
</p></li><li><p>Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support.
</p></li></ul><p></p><p>You're Our Data 360 Forward Deployed Engineer If...
</p><ul><li><p>You have 5+ years of experience in software engineering, data engineering, or technical implementation , including a production data solution you can explain in detail.
</p></li><li><p>You have a bachelor's degree in Computer Science or equivalent practical experience.
</p></li><li><p>You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
</p></li><li><p>You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
</p></li><li><p>You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks.
</p></li><li><p>You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed.
</p></li><li><p>You understand data modeling, APIs, integration patterns, batch and streaming processing , and the practical differences between copied, federated, and Zero Copy data access.
</p></li><li><p>You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance.
</p></li><li><p>You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
</p></li><li><p>You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases .
</p></li><li><p>You diagnose technical problems methodically , use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
</p></li><li><p>You can implement against a documented architecture , explain what you built to customer technical teams, and recognize when a question requires an architect or security owner.
</p></li><li><p>You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments .
</p></li><li><p>You are excited to work directly with customer administrators, developers, data engineers, and architects.
</p></li><li><p>You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform.<br>
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p>We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
<p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Data360 FDE

Explore 367+ Agent experience engineer eu uk based remote in London this September. Find roles across top companies and apply now to boost your career.