ai architect / engineer (agentic ai & llm architecture)

ai engineer

data scientist

machine learning engineer

ai architect / engineer (agentic ai & llm architecture) Jobs in London

ai data engineering lead, vice president Jobs in London

ai data engineering lead, vice president

artificial intelligence specialist

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.</p><p>
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.</p><p>
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p></p><p><br>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</p></div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

Digital Waffle

<div>
 <p>
  <strong>
   AI Software Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Onsite role in Soho
   </strong>
  </li>
  <li>
   <strong>
    &pound;80-120k depending on experience
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
  <em>
   why
  </em>
  people say what they say. The goal? Create AI that perceives
  <strong>
   human potential
  </strong>
  , not just human input.
 </p>
 <p>
  If you love working on ideas that feel impossible &mdash; keep reading.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  We&rsquo;re looking for an engineer who blends
  <strong>
   technical depth with creative instinct
  </strong>
  .
 </p>
 <p>
  You&rsquo;ll work directly with founders to shape the
  <strong>
   intelligence layer
  </strong>
  behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve worked in a
  <strong>
   disruptive industry
  </strong>
  and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Building
  </strong>
 </p>
 <ul>
  <li>
   Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
  </li>
  <li>
   Fast, intuitive interfaces that make human-AI interaction feel alive
  </li>
  <li>
   Rapid prototypes that turn bold ideas into working products
  </li>
  <li>
   Scalable infrastructure for experimentation and learning
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You&rsquo;ll Thrive Here If You
  </strong>
 </p>
 <ul>
  <li>
   Come from a
   <strong>
    disruptive, fast-moving environment
   </strong>
  </li>
  <li>
   Have helped launch or shape
   <strong>
    new ideas, products, or technologies
   </strong>
  </li>
  <li>
   Think in systems and build with elegance
  </li>
  <li>
   Believe speed drives creativity
  </li>
  <li>
   Are curious about human cognition and behaviour
  </li>
  <li>
   Value truth, craft, and collaboration over hierarchy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Bring
  </strong>
 </p>
 <ul>
  <li>
   Deep fluency in
   <strong>
    TypeScript
   </strong>
   and modern frameworks
  </li>
  <li>
   Experience with
   <strong>
    vector databases
   </strong>
   and
   <strong>
    embeddings
   </strong>
  </li>
  <li>
   Strength in
   <strong>
    LLM fine-tuning
   </strong>
   or multimodal reasoning
  </li>
  <li>
   Proven ability to ship full-stack products fast
  </li>
  <li>
   Strong
   <strong>
    Python
   </strong>
   skills
  </li>
  <li>
   Experience using
   <strong>
    Gemini
   </strong>
   would be preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Culture
  </strong>
 </p>
 <p>
  Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 </p>
</div>


Artificial Intelligence Engineer

Houseful

<div><p><b><i>6 months Initial Contract - Must work from the UK</i></b></p><p>
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.</p><p>
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.</p><p>
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.</p>
The Role<p>
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.</p><p>
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:</p><ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters<p>
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</p></div>

AI Engineer (Contract)

SQLI

<div>
 <p>
  We Elevate. Digitally.
  <br/>
  <br/>
 </p>
 <p>
  SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.
  <br/>
  <br/>
 </p>
 <p>
  With 2,200 people across 12 countries, we&rsquo;re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.
  <br/>
  <br/>
  <br/>
  <br/>
 </p>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <p>
  <u>
   <strong>
    About the role
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.
  <br/>
  <br/>
 </p>
 <p>
  This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.
  <br/>
  <br/>
 </p>
 <p>
  You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else&rsquo;s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.
  <br/>
  <br/>
  <br/>
  <br/>
  <u>
   <strong>
    What you will do
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <ul>
  <li>
   <p>
    Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Support Data &amp; AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover
    <br/>
    <br/>
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <p>
  <br/>
  <br/>
 </p>
 <ul>
  <li>
   <p>
    Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience building RAG applications
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience setting up CI/CD pipelines and automation
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Able to take a prototype through to a production-grade build, not just one or the other
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Strong collaboration and communication skills, ideally from an agency or consulting setting
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <p>
  <u>
   <strong>
    Nice to have
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <ul>
  <li>
   <p>
    Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI
    <br/>
    <br/>
   </p>
  </li>
  <li>
   <p>
    Hands-on with Anthropic&rsquo;s managed agent infrastructure (Claude managed agents, the agents API)
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Prior work on evaluation methods for LLM outputs
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Experience in e-commerce, or from an AI, agentic, or workflow automation background
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <ul>
  <li>
   <p>
    Comfortable presenting technical work and learnings to a non-engineering audience
    <br/>
    <br/>
    <br/>
    <br/>
   </p>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <p>
  <u>
   <strong>
    How we will work together
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  You will report into the Data &amp; AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.
  <br/>
  <br/>
 </p>
 <p>
  <u>
   <strong>
    How to apply
    <br/>
    <br/>
   </strong>
  </u>
 </p>
 <p>
  Send a short note covering:
  <br/>
  <br/>
 </p>
 <ol>
  <li>
   <p>
    One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <ol>
  <li>
   <p>
    How you would take an agent that touches real client systems from a quick prototype to something safe to run in production
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <ol>
  <li>
   <p>
    Your notice period and earliest start date
    <br/>
    <br/>
   </p>
  </li>
 </ol>
 <p>
  <strong>
   Why you&rsquo;ll love working at SQLI?
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   A flexible remote working policy: 3 days per week
  </li>
  <li>
   Continuous learning opportunities and certifications to support your development
  </li>
  <li>
   Personalised support: career follow-up, diverse projects, and strong team collaboration
  </li>
  <li>
   Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups
  </li>
 </ul>
</div>


AI Engineer

Security Service (MI5)

<div><div><h2 class="jobSectionHeader"><b>Details</b></h2>
<div><h3 class="jobSectionHeader"><b>Reference number</b></h3>
<div>468819
</div></div><div><h3 class="jobSectionHeader"><b>Salary</b></h3><div>
&pound;44,190 - &pound;52,972</div></div>
<div>GBP</div>
<div><h3 class="jobSectionHeader"><b>Job grade</b></h3><div><div>
Executive Officer</div></div></div><div><h3 class="jobSectionHeader"><b>
Contract type</b></h3><div>
Permanent</div></div><div><h3 class="jobSectionHeader"><b>
Type of role</b></h3><div>
Architecture and Data<br>
Engineering<br>
Information Technology</div></div><div><h3 class="jobSectionHeader"><b>
Working pattern</b></h3><div>
Full-time, Part-time, Compressed hours</div></div><div><h3 class="jobSectionHeader"><b>
Number of jobs available</b></h3><div>
1</div></div></div>
<div><div><h2 class="jobSectionHeader"><b>Contents</b></h2></div><div><ul><li>
Location</li><li>
About the job</li><li>
Benefits</li><li>
Things you need to know</li><li>
Apply and further information</li></ul></div><div><h2 class="jobSectionHeader"><b>
Location</b></h2></div><div><div>
London</div></div><div><h2 class="jobSectionHeader"><b>
About the job</b></h2></div><div><h3 class="jobSectionHeader"><b>
Job summary</b></h3><div><p>
MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security.</p></div></div><div><h3 class="jobSectionHeader"><b>
Job description</b></h3><div><p>
As a Site Reliability Engineer, youll design, build, deploy and maintain the infrastructure that enables critical cyber activity. Working in a highly technical environment, youll ensure the systems others depend on are secure, reliable and fit for purpose. Using a blend of cutting-edge and bespoke technologies, including internally developed systems you wont find elsewhere, youll solve complex, mission-critical challenges.</p><p>
This is an engineering-led role where youll play a key part in delivering and managing infrastructure through code, operating in fully code-driven environments. Using tools such as Kubernetes, infrastructure as code and automation frameworks, youll develop and manage production environments that support operational activity. Youll oversee deployments end to end, manage upgrades and changes, and ensure systems remain stable and available without disruption, maintaining continuity of service.</p><p>
Monitoring is central to the role. Youll track system health, performance and behaviour using logs and metrics, identifying risks and weaknesses before they impact service. When issues arise, youll investigate root causes and contribute to improvements that strengthen reliability and prevent recurrence.</p><p>
Day to day, youll work closely with engineers, developers and researchers to deploy new capabilities and improve existing systems. Youll collaborate with monitoring teams to respond to system concerns and ensure environments remain secure and resilient. Alongside this, youll contribute to improving how systems are managed, refining processes and strengthening reliability practices as systems evolve.</p><p>
Operating within a small, specialist team in a wider delivery environment, youll have the autonomy to influence how production systems are managed and delivered. This is a hands-on engineering role focused on ensuring systems are robust, consistently available and capable of supporting critical operational activity.</p></div></div><div><h3 class="jobSectionHeader"><b>
Person specification</b></h3><div><p>
Youre an experienced engineer with a strong background in building, deploying and maintaining software or infrastructure in production environments. Your experience may come from site reliability engineering, DevOps or a similar role, and youll be used to working with complex systems where reliability, performance and security are critical.</p><p>
You bring hands-on experience managing systems through their full lifecycle, including deploying, upgrading and maintaining services in live environments without disruption. Youre confident working in code-driven environments, using approaches such as infrastructure as code and automation to deliver and manage infrastructure.</p><p>
Youll have practical experience using Kubernetes to deploy and manage services in production environments. Youll also have working knowledge of scripting or programming languages such as Python and be comfortable working in Linux-based environments.</p><p>
You understand how systems behave in production, using logs, metrics and monitoring tools to assess health, identify issues and improve performance. You take a structured and methodical approach to your work, ensuring systems are stable, repeatable and well managed.</p><p>
Youre able to understand complex systems and how different components interact and can communicate this clearly to others. You work effectively with engineers and supporting teams, ensuring systems are well documented and delivered to a consistent standard.</p></div></div><div><h2 class="jobSectionHeader"><b>
Benefits</b></h2></div><div><div><p>
When you join, youll receive an induction to the team, systems and ways of working, helping you understand how the infrastructure you support fits into the wider operational environment.</p><p>
Your personal development in this role is continuous and grounded in practice. Youll build your expertise by working directly with complex systems, contributing to deployments, monitoring environments and responding to real-world challenges. Alongside this, youll have dedicated time to explore emerging technologies, keeping your skills current and identifying opportunities to improve future capability.</p><p>
Youll be supported through a structured technical framework aligned to the Cyber Technical Framework, helping you progress as a specialist engineer or move into leadership. Whichever path you choose, youll receive significant investment in your development, including funded external courses, certifications and technical bootcamps.</p><p>
Youll also have access to a Dedicated Development Budget and Personal Development Time, giving you the flexibility to pursue self-directed learning aligned to your goals. Opportunities to gain industry-recognised certifications and learn from leading specialists across the intelligence community will further support your development.</p><p><b>
Rewards and benefits</b><br>
Youll receive a starting salary of &pound;44,190 to &pound;52,972 depending on skills and accreditation, plus other benefits including:</p><ul><li>
25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays</li><li>
opportunities to be recognised through our employee performance scheme</li><li>
dedicated development budget</li><li>
interest-free season ticket loan</li><li>
excellent pension scheme</li><li>
cycle to work scheme</li><li>
facilities such as a gym, restaurant, and on-site coffee bars (at some locations)</li><li>
paid parental and adoption leave</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Things you need to know</b></h2></div><div><h3 class="jobSectionHeader"><b>
Artificial intelligence</b></h3><div>
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.</div></div><div><h3 class="jobSectionHeader"><b>
Selection process details</b></h3><div><div><p>
Our recruitment process is fair, transparent, and based on merit. Here is a brief overview of each stage, in order:</p><ul><li>
An initial online application form including pre-screening questions to ensure you meet our eligibility criteria.</li><li>
Online Situational Judgement Test (SJT) in which you rate the appropriateness of responses to a series of short scenarios.</li><li>
A full online application form, assessed at application sift, where we will review your motivation for the role and MI5.</li><li>
Online competency-based interview which will also consider your motivation for the role.</li><li>
In-person technical interview.</li><li>
If successful, youll receive a conditional offer of employment.</li></ul><p>
Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 to 9 months to process including vetting, so we advise you continue any current employment until you have received your final job offer.</p><p><b>
Equal opportunities</b><br>
At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio-economic backgrounds.</p><p>
Find out more about our culture, working environment and diversity on our website.</p><p><b>
Were Disability Confident</b><br>
MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This is aimed at encouraging employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Leader, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential minimum criteria for this position, will be offered an interview, if it is practical for us to do so. (This is known as the Offer of an Interview.) To secure an interview for this role, the minimum criteria (in order of application process) are:</p><ul><li>
You'll be required to reach the minimum pass mark for the online Situational Judgement Test (SJT), which assesses criteria important for all roles in our organisation</li><li>
The ability to build, deploy and maintain systems in live production, with clear evidence of managing reliability, performance, and security in complex environments.</li><li>
Practical expertise with using Kubernetes to run services in production and working in fully code-driven environments</li><li>
The ability to monitor systems using logs/metrics, troubleshoot issues, perform root cause analysis, and implement improvements to ensure stability, uptime, and continuous service availability.</li></ul><p>
There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer.</p><br>
Feedback will only be provided if you attend an interview or assessment.</div></div></div><div><h3 class="jobSectionHeader"><b>
Security</b></h3><div><div>
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is developed vetting .<br>
<br>
See our vetting charter .</div></div><div><div>
People working with government assets must complete baseline personnel security standard (opens in new window) checks.</div></div></div><div><h3 class="jobSectionHeader"><b>
Nationality requirements</b></h3><div>
Open to UK nationals only.</div></div><div><h3 class="jobSectionHeader"><b>
Working for the Civil Service</b></h3><div><div>
Please note this Post is NOT regulated by the Civil Service Commission.</div></div><div><div>
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.</div></div></div><div><h3 class="jobSectionHeader"><b>
Diversity and Inclusion</b></h3><div>
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .</div></div><div><h2 class="jobSectionHeader"><b>
Apply and further information</b></h2></div><div><div>
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.</div></div><div><h3 class="jobSectionHeader"><b>
Contact point for applicants</b></h3><div><h4 class="jobSectionHeader"><b>
Job contact :
</b></h4><ul><li>Name : careers@recruitmentoffice.org.uk</li><li>
Email : careers@recruitmentoffice.org.uk</li></ul><h4 class="jobSectionHeader"><b>
Recruitment team</b></h4><ul><li>
Email : careers@recruitmentoffice.org.uk</li></ul></div></div><div><h3 class="jobSectionHeader"><b>
Further information</b></h3><div><div>
https://www.mi5.gov.uk/careers</div></div></div></div></div><div></div>

AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

Graphcore

<div><h3 class="jobSectionHeader"><b>About the job</b></h3>
<p>
Validate the ML stack that turns accelerator hardware into trusted AI performance.</p>
<p>
This role sits where modern ML models meet Graphcore's software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.</p>
<p>
Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.</p>
<p>
You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.</p>
<p>
This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.</p>
<h3 class="jobSectionHeader"><b>
The team and culture</b></h3>
<p>
The ML QA team is where Graphcore's ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.</p>
<p>
Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.</p>
<p>
You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>Strong experience in Machine Learning or ML-adjacent software engineering roles.</li><li>A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.</li><li>Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.</li><li>Strong Python skills for automation, experimentation, benchmarking and reporting.</li><li>Experience designing, running and analysing ML benchmarks or model experiments.</li><li>Confident debugging skills in Linux, with curiosity about model behaviour and system performance.</li></ul>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
<p>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.</p>
<p>
We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.</p>
<h3 class="jobSectionHeader"><b>
Join the Team at Graphcore</b></h3>
<p>
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.</p>
<p>
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.</p>
<p>
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.</p>
<p>
If you want to validate the systems behind next generation AI compute, we'd love to hear from you. Apply now to help build what comes next.</p></div>

Senior Engineer (ML Engineer)

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