software engineer

ai engineer

senior ai engineer

platform engineer

ai software engineer

ai security engineer

Synapri

<div><p><b>Salary: </b>Up to &pound;120,000 + Bonus &amp; Excellent Benefits
</p><p><b>The Opportunity
</b></p><p>We are seeking a <b>Senior AI Security Engineer </b>to join a leading global financial institution, working on the development and security of the organisation's next-generation <b>Generative AI and LLM-based applications </b>.
</p><p>This is a specialist engineering role focused on designing, developing and enhancing a <b>GenAI prompt security platform </b>, helping protect enterprise AI applications from <b>prompt injection, adversarial attacks and emerging AI security threats </b>.
</p><p>You will work closely with Engineering, Cyber Security and Operations teams across the organisation to build secure, scalable solutions and automated security testing capabilities for a range of LLM use cases.
</p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop, optimise and enhance a <b>GenAI prompt security platform </b>.
</li><li>Build and automate <b>security testing frameworks </b>to validate protection mechanisms across different LLM use cases.
</li><li>Develop security controls and solutions to protect against <b>prompt injection and adversarial attacks </b>.
</li><li>Design and implement <b>secure APIs and reusable security libraries </b>.
</li><li>Contribute to the architecture and design of enterprise AI security solutions.
</li><li>Ensure solutions are designed to operate reliably and securely at <b>enterprise scale </b>.
</li><li>Contribute to system architecture, design patterns, scalability and reliability.
</li><li>Work closely with Engineering, Cyber Security and Operations stakeholders across global teams.
</li><li>Support the development of <b>AI security standards and best practices </b>across the organisation.
</li></ul><p><b>Key Requirements
</b></p><ul><li><b>7+ years of relevant industry experience </b>in software engineering or a related technical discipline.
</li><li>Strong programming experience with <b>Python and/or Go </b>.
</li><li>Strong experience designing and implementing <b>secure APIs and enterprise software solutions </b>.
</li><li>Background in <b>Cyber Security Engineering, DevSecOps or MLSecOps </b>.
</li><li>Experience with <b>Generative AI, LLM frameworks, prompt engineering and/or adversarial testing </b>.
</li><li>Experience contributing to enterprise <b>architecture and system design </b>.
</li><li>Strong understanding of security, reliability, scalability and enterprise software development.
</li><li>Experience working with <b>containerised environments </b>, such as Kubernetes or OpenShift.
</li><li>Experience delivering solutions across large and complex enterprise environments.
</li><li>Strong communication, stakeholder management and problem-solving skills.
</li></ul><p><b>What's on Offer
</b></p><ul><li>Salary of <b>up to &pound;120,000 + Bonus + Excellent Benefits Package </b>.
</li><li>Hybrid working in London.
</li><li>Opportunity to work on <b>next-generation AI security technology </b>within a global investment banking environment.
</li><li>Exposure to large-scale <b>Generative AI, LLM and Cyber Security transformation </b>.
</li><li>Opportunity to help shape AI security capabilities across a global organisation.
</li></ul><p>If you are an experienced <b>AI Security Engineer, Cyber Security Engineer, Software Security Engineer or DevSecOps/MLSecOps professional </b>with experience across Generative AI, LLM security or secure enterprise platforms, we'd be keen to hear from you.</p></div><p></p>

Senior AI Security Engineer

Jefferies LLC

<div><p><b>Company
</b></p><p>Jefferies, the global investment banking firm, has served companies and investors for almost 60 years. Headquartered in New York with its European head office in London, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, and asset management. Jefferies provides research and execution services in equity, fixed income, foreign exchange, and a full range of investment banking services including underwriting, merger &amp; acquisition, restructuring and recapitalisation and other advisory services, with businesses operating in the Americas, Europe and Asia.
</p><p><b>Job Description
</b></p><p>Global Information Security is building internal engineering capability to apply generative AI and automation across the security function. This is a senior hands-on engineering role supporting both the Security Operations Centre and the wider security domains: identity, privileged access, network and cloud security, data protection, and vulnerability management.
</p><p>The position is London-anchored to provide global coverage across the APAC afternoon and Americas morning. This is an engineering role: we are looking for a software engineer who has shipped AI-backed systems in production and can own them as services.
</p><p><b>Key Responsibilities
</b></p><ul><li>Design, build and operate AI-assisted automation services across the security function, owning them as production services with testing, monitoring, alerting, error handling and rollback.
</li><li>Deliver automation supporting security operations, including alert triage and enrichment, case summarisation, evidence collection, detection tuning, threat intelligence synthesis, and repetitive investigative workflows.
</li><li>Partner with pillar leads to deliver AI and automation capability across the wider security domains, including access review and certification support, entitlement analysis and role mining, privileged session analysis and PAM onboarding, posture finding triage, firewall and segmentation rule rationalisation, configuration drift detection, data classification and DLP event triage, and vulnerability prioritisation and contextualisation.
</li><li>Develop LLM and agent-based workflows integrated with SIEM, EDR, SOAR, IGA, PAM, CSPM, DLP, ticketing and threat intelligence platforms via supported APIs.
</li><li>Set the global AI Security and automation roadmap in partnership with the Head of Cyber Operations and pillar leads; arbitrate competing demand across domains and determine which workflows warrant automation and which do not.
</li><li>Establish engineering standards for AI-assisted tooling across the security organisation in partnership with the Head of App &amp; AI Security, covering prompt and tool-definition review, agent permission scoping, and output validation.
</li><li>Engineer guardrails as a primary requirement: least-privilege service identities, human-in-the-loop checkpoints for consequential actions, full audit logging of agent decisions, and defences against prompt injection and tool-definition poisoning.
</li><li>Build reusable platform components, shared integration patterns, evaluation harnesses, prompt and tool libraries so capability compounds across domains rather than being rebuilt for each team.
</li><li>Define and report measures of effectiveness, including analyst and engineer time recovered, cycle time, and quality and error rates.
</li><li>Mentor engineers in the Pune capability centre as automation delivery scales and document to a standard supportable by a follow-the-sun team.
</li></ul><p><b>Required Qualifications
</b></p><ul><li>8+ years professional software engineering with production ownership.
</li><li>Advanced Python, including asynchronous programming, API integration, automated testing and CI/CD.
</li><li>Demonstrated production experience building LLM-backed or agentic systems: retrieval, tool and function calling, orchestration, and evaluation or regression testing of non-deterministic outputs.
</li><li>Working knowledge of security operations tooling and workflow &mdash; SIEM, EDR, SOAR, case management, threat intelligence.
</li><li>Practical familiarity with at least two additional security domains from identity and access management, privileged access, network or cloud security, or data protection, with the demonstrated ability to learn new domains quickly.
</li><li>Cloud engineering experience (AWS or Azure), containerisation and infrastructure-as-code.
</li><li>Secure development practice: secrets management, least-privilege service identity, input validation, output encoding.
</li><li>Demonstrated delivery across multiple time zones for distributed stakeholders.
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Financial services or comparable regulated industry experience, with working knowledge of audit, evidence and change-control requirements.
</li><li>Familiarity with agentic AI failure modes - prompt injection, tool poisoning, excessive agency - and current mitigations.
</li><li>Detection engineering exposure: detection-as-code, Sigma, MITRE ATT&amp;CK mapping.
</li><li>Hands-on experience with enterprise IGA, PAM or CSPM platforms.
</li><li>Experience transitioning vendor-managed automation to internally owned capability.
</li><li>Open-source contribution, published research or conference speaking.
</li></ul><p><b>Candidate Profile
</b></p><p>The successful candidate will operate with significant autonomy, translating problem statements into delivered capability without a pre-defined backlog. They will hold technical authority across regional teams and pillar leads, balance competing demand from multiple security domains, and be expected to make and defend judgments about where AI is and is not appropriate in a security workflow.
</p><p>#LI-JD1</p></div>

AI & Automation Engineering, Global Security (Vice President)

Just Eat Takeaway.com

<div><h2 class="jobSectionHeader"><b>Ready for a challenge?</b></h2><p><br>
Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.</p><p>
Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.</p><h2 class="jobSectionHeader"><b><br>
About this role</b></h2><p></p><p>
JET's Information Security organisation protects a technology-led, cloud-native platform serving millions of customers across multiple markets. JET's building security into the foundations of how we design, engineer, and operate our cloud-native platforms at scale, across our technology organisation.</p><p></p><p>
JET's Security Engineering team builds the tools, guardrails and controls that let every engineer at JET ship secure code, over 100 times a day. As a Senior Security Engineer, you'll design, build and run the security solutions our 1st and 2nd line InfoSec teams and wider engineering community rely on daily, from vulnerability scanning and access monitoring to AI security guardrails. You'll work hands-on within JET's global Security Engineering team, turning security policy into code and every engineer into a security-conscious one.</p><p></p><h2 class="jobSectionHeader"><b>
These are some of the key components to the position:</b></h2><ul><li><p><i>
Design, build and deploy security controls and guardrails across JET's cloud-native platforms, including AI security solutions protecting customer-facing products.</i></p></li><li><p><i>
Run password audits, network and web application vulnerability scans, and intrusion detection to identify and close gaps before they're exploited.</i></p></li><li><p><i>
Automate security processes as code, embedding compliance and IaC checks into CI/CD pipelines shipping over 100 times daily.</i></p></li><li><p><i>
Conduct risk audits and assessments, translating findings into practical recommendations for engineering teams.</i></p></li><li><p><i>
Monitor and analyse system access logs, flagging anomalies and supporting incident response.</i></p></li><li><p><i>
Plan and test security backup and disaster recovery processes to keep JET's platforms resilient.</i></p></li><li><p><i>
Partner with 1st and 2nd line InfoSec teams as customers of your solutions, translating technical work for product and engineering audiences.</i></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What will you bring to the team?</b></h2><ul><li><p><i>
Practical experience writing and deploying applications or tooling into cloud-native environments (AWS, Azure or GCP).</i></p></li><li><p><i>
Strong, demonstrable skills deploying AI security solutions, guardrails, and defences for AI systems used by customers.</i></p></li><li><p><i>
Proficiency in at least one of C#, Python, Java, PowerShell or Bash, with a track record of automating security processes.</i></p></li><li><p><i>
Working knowledge of Infrastructure as Code and Compliance as Code practices.</i></p></li><li><p><i>
Comfort operating in Agile, DevOps-driven teams with frequent, continuous delivery.</i></p></li><li><p><i>
Confident stakeholder management, translating security risk and technical decisions into language product and engineering teams act on.</i></p></li><li><p><i>
A collaborative, evangelist mindset, building trust so others choose secure defaults rather than having security imposed on them.</i></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
At JET, this is how we play</b></h2><p><br>
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.</p><p><br>
Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.</p><p></p><p>
At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
</p><p>Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.</p><p></p><h2 class="jobSectionHeader"><b>
Inclusion, Diversity &amp; Belonging</b></h2><p><br>
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.</p><p></p><h2 class="jobSectionHeader"><b>
What else are we delivering?</b></h2><p><br>
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.</p><h2 class="jobSectionHeader"><b><br>
Are you ready to join the team? Apply now!</b></h2></div>

Senior Security Engineer

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

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

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

Explore 293+ Ai security engineer in London this September. Find roles across top companies and apply now to boost your career.