ai engineer

senior software engineer

software engineer

platform engineer

senior data engineer

senior reliability engineer

Loop Recruitment

<div>
 <p>
  <strong>
   Site Reliability Engineer/ Platform Engineer
  </strong>
 </p>
 <p>
  💰 Up to &pound;120,000
 </p>
 <p>
  📍 London (Hybrid)
 </p>
 <p>
  🚀 High Growth Technology Business
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're working with a highly regarded engineering-led organisation looking to hire two Platform Engineers to join a growing infrastructure team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to join at a pivotal point. The team is investing heavily in its platform capabilities and is looking for engineers who enjoy building scalable systems, automating everything possible, and creating the foundations that enable product teams to move quickly and safely.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role will suit someone who enjoys solving complex infrastructure challenges, thrives in technically ambitious environments, and wants to have a genuine impact on the direction of a platform function.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing
  </strong>
 </p>
 <ul>
  <li>
   Designing, building, and scaling cloud infrastructure
  </li>
  <li>
   Automating operational processes and eliminating manual toil
  </li>
  <li>
   Developing and maintaining Infrastructure as Code
  </li>
  <li>
   Improving platform reliability, observability, and resilience
  </li>
  <li>
   Building and supporting Kubernetes-based environments
  </li>
  <li>
   Developing CI/CD tooling and deployment workflows
  </li>
  <li>
   Partnering with engineering teams to improve developer experience
  </li>
  <li>
   Influencing technical decisions and platform strategy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Environment
  </strong>
 </p>
 <ul>
  <li>
   AWS
  </li>
  <li>
   Linux
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   Terraform
  </li>
  <li>
   CI/CD
  </li>
  <li>
   Infrastructure as Code
  </li>
  <li>
   Automation Tooling
  </li>
  <li>
   Distributed Systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <ul>
  <li>
   Strong experience within Platform Engineering, SRE, DevOps, Cloud Engineering, or Infrastructure Engineering
  </li>
  <li>
   Experience building and scaling infrastructure from the ground up
  </li>
  <li>
   Deep Linux and cloud expertise
  </li>
  <li>
   Strong automation mindset
  </li>
  <li>
   Experience operating distributed systems at scale
  </li>
  <li>
   Comfortable working autonomously and owning projects end-to-end
  </li>
  <li>
   Pragmatic problem solver with excellent technical judgement
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Apply?
  </strong>
 </p>
 <ul>
  <li>
   Join a highly technical engineering culture
  </li>
  <li>
   Significant autonomy and ownership
  </li>
  <li>
   Opportunity to influence the future direction of the platform team
  </li>
  <li>
   Work alongside experienced engineers who care deeply about quality
  </li>
  <li>
   Solve genuinely interesting infrastructure and scaling challenges
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're someone who enjoys building platforms that empower engineers and create long-term business impact, I'd love to speak with you.
 </p>
</div>


Site Reliability Engineer

Youtube

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; London, UK</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li><div><div><div>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</div></div></div></li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.</li>
<li>Experience leading technical strategy and influencing engineering direction across multiple teams.</li>
<li>Experience leading cross-organizational technical programs or initiatives at scale.</li>
<li>Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.</li>
<li>Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services&mdash;both our internally critical and our externally-visible systems&mdash;have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE&rsquo;s will keep an ever-watchful eye on our systems capacity and performance.</p><div>
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you&rsquo;ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.</div><div></div><div><br>
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.<br>
<br>
<b>To learn more:</b> check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.</div>
<p>
In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.</li>
<li>Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.</li>
<li>Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.</li>
<li>Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.</li>
<li>Determine how our systems relate to each other and use a breadth of tools and approaches &mdash; including emerging AI capabilities &mdash; to solve a broad spectrum of problems.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Site Reliability Engineer, AViD, YouTube Ads

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>

Site Reliability Engineer (Covert Capability)

<div>
 This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
 <br/>
 <br/>
 <em>
  If you're interested sign up to Dex to apply.
  <br/>
  <br/>
 </em>
 Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
 <br/>
 <br/>
 <strong>
  The role
  <br/>
  <br/>
 </strong>
 This company is building a privacy-first perception engine, turning existing cameras and sensors into real-time operational intelligence without facial recognition or hardware swaps. They're tackling a petabyte-scale data infrastructure challenge: ingesting and processing real-time feeds from thousands of customer sites. This isn't a typical SaaS reliability surface; think financial market data aggregation, but for the physical world.
 <br/>
 <br/>
 You'll be the founding engineer for a new Resilience function, owning the availability, performance, and scalability of this unique platform. This is a greenfield opportunity to apply a software engineering mindset to operations, designing systems from scratch. It's not about running a ticket queue; it's about building the infrastructure that makes petabyte-scale real-time data reliable.
 <br/>
 <br/>
 <strong>
  The work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and operate a centralized, petabyte-scale data ingestion pipeline, solving novel reliability challenges akin to financial market data.
  </li>
  <li>
   Architect and implement production Kubernetes clusters and GitOps workflows from scratch, ensuring high availability and scalability.
  </li>
  <li>
   Automate manual operations work across deployment, monitoring, and incident response, embedding a software engineering approach into infrastructure.
  </li>
  <li>
   Define and manage SLOs/SLIs for critical systems, leading root cause analyses that result in tangible preventative changes.
  </li>
  <li>
   Establish and champion documentation standards (runbooks, post-mortems, system docs) as a core engineering deliverable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You've built at least one production Kubernetes cluster from scratch, not just operated an existing one.
  </li>
  <li>
   You're fluent with GitOps workflows in production and have strong opinions on their optimal setup and operation.
  </li>
  <li>
   You write code to automate operations work across deployment, monitoring, and incident response.
  </li>
  <li>
   You've defined and managed SLOs/SLIs for production systems and led RCAs that resulted in preventative changes.
  </li>
  <li>
   You are eligible to work in the UK and ideally based in London.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why apply through Dex
  <br/>
  <br/>
 </strong>
 This is a rare, high-impact role that won't be widely advertised. Apply through Dex to get properly briefed on the company and role, skip the cold application process, and get matched to other similar, unlisted opportunities. We help you cut through the noise and find the roles that truly fit.
 <br/>
 <br/>
 If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/3dc041c8-3c13-4de2-b049-f756ab2bfdb0
 <br/>
 <br/>
 <em>
  As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
  <br/>
  <br/>
 </em>
 We review applications on a rolling basis, so early applicants are encouraged.
</div>


Site Reliability Engineer (up to £130k)

Axon

<div><div><h4 class="jobSectionHeader"><b>Join Axon and be a Force for Good.</b></h4>
<p>
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.<br>
<br>
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.</p></div><h3 class="jobSectionHeader"><b>
Your Impact</b></h3>
<h4 class="jobSectionHeader"><b>As an SRE contributor in Axon's Real Time Operations organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter. You are also obsessed about achieving the high quality and reliability our customers demand. You will work closely not only with your peers, but also the RTO engineering teams, allowing your technical deliverables to reach the entire engineering organization, enabling product teams to continuously deliver features on the vanguard of innovation and helping scale our products to thousands of agencies around the world.<br>
</b><br>
<br>
</h4><h3 class="jobSectionHeader"><b>What You'll Do</b></h3>
<h4 class="jobSectionHeader"><b>Location: London UK</b></h4>
<ul><li>Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, and securely.</li>
<li>Exemplify cloud-native site reliability best practices.</li>
<li>Write code that is performant, maintainable, clear, and concise.</li>
<li>Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems.</li>
<li>Influence and educate the engineering organization to adopt new and improved architectural patterns.</li>
<li>Provide robust documentation for use by engineers to promote self-service.</li>
<li>Take calculated risks, champion new ideas, and cultivate your craft.</li>
</ul>
<h3 class="jobSectionHeader"><b>What You Bring
</b></h3><ul><li>3+ years of applicable experience</li>
<li>Experience managing cloud platforms such as Azure, AWS, or similar.</li>
<li>Experience operating in Kubernetes platforms like AKS, EKS, or similar.</li>
<li>Experience using managed languages such as Python, Go, C#, Java, or similar.</li>
<li>Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.</li>
<li>Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.</li>
<li>Experience designing tooling to simplify the operational management of SaaS/PaaS systems.</li>
<li>Familiarity with building flexible and testable Infrastructure as Code modules.</li>
<li>Empathy to support the needs of software engineers.</li>
</ul>
<h3 class="jobSectionHeader"><b>Benefits That Benefit You</b></h3>
<ul><li>Competitive base salary and equity</li>
<li>Comprehensive pension plan with matching contribution</li>
<li>Private health insurance &amp; cash plans</li>
<li>30 days paid holiday + UK public holidays</li>
<li>Enhanced maternity/paternity leave</li>
<li>GymPass subscription</li>
<li>Life assurance &amp; income protection</li>
<li>Career growth support and wellness resources</li>
</ul><h4 class="jobSectionHeader"><b>Axon's mission is to protect life.</b><b> We build technology for public safety and justice, including body cameras, sensors, and evidence platforms that power the future of real-time response. Join us and help shape the future of safety.</b><br>
<br>
<b><i>Benefits listed herein may vary depending on the nature of your employment and the location where you work.</i></b></h4><div><p><br>
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.</p>
<p>
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p>
<p><b>
Important Notes</b></p>
<p><i>
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.</i></p>
<p><i>
Some roles may also require legal eligibility to work in a firearms environment.</i></p>
<p><i>
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at </i><b><i>axongreenhousesupport@axon.com</i></b><i> or via our </i><i>Axon Privacy Web Form</i><i>. For more information, please see the Your California Privacy Rights section of our </i><i>Applicant and Candidate Privacy Notice.</i></p>
<p><i>
Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.</i></p>
<p><i>
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent &mdash; regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances &mdash; and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email </i><i>recruitingops@axon.com.</i><i> Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.</i></p>
<p>
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not <b>@axon.com</b>, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.</p></div></div><p></p>

ZNG Cover

<p><b>About ZNG Cover</b></p><p>ZNG Cover is the leading embedded insurer for the luxury goods industry. ZNG revolutionises the world of insurance by providing specialist, invite-only insurance.</p><p>We are a fast-growing company with a driven, motivated team that is excited about what we&rsquo;re doing. We want to hire people who will share in our excitement at building this business.</p><p>The successful candidate will be working within a tight team, with opportunities for personal and professional development, and most importantly they will create opportunities for themselves. ZNG is growing and we want people who will grow with us.</p><p><b>About the Role</b></p><p>We are currently seeking a <i><b>Senior DevOps Engineer</b></i> to join the development team. You will be primarily responsible for managing cloud infrastructure, DevOps processes, and CI/CD pipelines.</p><p>As a <i><b>Senior DevOps Engineer</b></i> you will be tasked with the following:</p><ul><li>Designing, implementing, and maintaining AWS infrastructure, including core services such as App Runner, ECS, CloudFormation, Lambda, ECR, and IAM</li><li>Leading the implementation of new infrastructure for new territories</li><li>Managing CI/CD pipelines with Bitbucket and GitHub to deploy containerised applications</li><li>Improving platform reliability, scalability, and monitoring</li><li>Contributing to infrastructure-as-code best practices</li><li>Supporting application security and cloud governance</li><li>Helping shape technical architecture decisions</li><li>Collaborating closely with product, design, and engineering teams</li></ul><p>We are looking for someone that has:</p><ul><li>Experience as a DevOps Engineer</li><li>Demonstrable skills creating and maintaining AWS infrastructure, CI/CD pipelines, and Docker</li><li>An Associate or Professional-level AWS certification</li><li>Excellent English verbal and written communication skills</li></ul><p>Pay: &pound;55,000.00-&pound;70,000.00 per year</p><p>Benefits:</p><ul><li>Casual dress</li><li>Company pension</li><li>Cycle to work scheme</li><li>Employee discount</li><li>Free or subsidised travel</li><li>Sabbatical</li></ul><p>Work Location: Hybrid remote in London N1 6ED</p>

Senior DevOps Engineer

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Principal Machine Learning Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 London/York
 <br/>
 <br/>
 <strong>
  Why Hiscox London Market
  <br/>
  <br/>
 </strong>
 Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.
 <br/>
 <br/>
 We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‑first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.
 <br/>
 <br/>
 You&rsquo;ll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‑impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.
 <br/>
 <br/>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Principal Machine Learning Engineer (MLE)
 </strong>
 , you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.
 <br/>
 <br/>
 You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands‑on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.
 <br/>
 <br/>
 A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI‑assisted development tools as part of a broader approach to improving developer experience, system quality, and long‑term sustainability.
 <br/>
 <br/>
 Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Technical Leadership &amp; Ownership (Individual Contributor)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as the technical lead for Machine Learning Engineering and MLOps across London Market.
  </li>
  <li>
   Technically lead the most complex and business‑critical ML systems, from architectural design through to production operation.
  </li>
  <li>
   Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.
  </li>
  <li>
   Lead deep technical decision‑making, balancing scalability, reliability, security, and developer experience.
  </li>
  <li>
   Contribute hands‑on to critical systems, frameworks, and platform components where the complexity or impact demands it.
  </li>
  <li>
   Define best practices and guardrails for the use of AI‑assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.
  </li>
  <li>
   Lead by example in applying AI‑assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ML Platform Strategy &amp; Build‑Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:
  </li>
  <ul>
   <li>
    Reusable and scalable deployment patterns
   </li>
   <li>
    CI/CD for machine learning
   </li>
   <li>
    Full model lifecycle management
   </li>
   <li>
    Monitoring, observability, and alerting
   </li>
   <li>
    Secure and compliant operation
   </li>
  </ul>
  <li>
   Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams.
  </li>
  <li>
   Lead technical spikes and proof‑of‑concepts to evaluate new tools, approaches, and architectural patterns.
  </li>
  <li>
   Influence developer tooling choices so that AI‑assisted coding tools integrate safely with CI/CD, testing, and governance workflows.
  </li>
  <li>
   Ensure the platform enables fast, safe experimentation while supporting robust, long‑lived production systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance, Reliability &amp; Commercial Impact
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure ML systems meet architecture, security, compliance, and operational standards.
  </li>
  <li>
   Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.
  </li>
  <li>
   Champion operational excellence across ML services, including monitoring, alerting, incident management, and post‑incident learning.
  </li>
  <li>
   Ensure clear ownership and lifecycle management for models and ML‑backed services.
  </li>
  <li>
   Promote responsible use of automation and AI‑assisted tooling in safety‑critical or regulated contexts.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Influence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.
  </li>
  <li>
   Collaborate with software engineers, product managers, and business stakeholders to deliver end‑to‑end ML‑driven solutions.
  </li>
  <li>
   Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.
  </li>
  <li>
   Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Mentorship &amp; Capability Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide hands‑on technical mentorship to Machine Learning Engineers and Data Scientists.
  </li>
  <li>
   Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.
  </li>
  <li>
   Coach teams on the effective and critical use of AI‑assisted coding tools, reinforcing the importance of code review discipline, testing, and long‑term maintainability.
  </li>
  <li>
   Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.
  </li>
  <li>
   Help shape long‑term capability by identifying gaps in tooling, skills, and platform maturity.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <strong>
  Experience &amp; Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).
  </li>
  <li>
   Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.
  </li>
  <li>
   Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.
  </li>
  <li>
   Experience operating in complex, cross‑functional environments (insurance or financial services experience is advantageous but not essential).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).
  </li>
  <li>
   Deep experience building, deploying, and operating production ML systems, including:
  </li>
  <ul>
   <li>
    Online and batch model serving
   </li>
   <li>
    Monitoring, alerting, and observability
   </li>
   <li>
    Retraining and lifecycle management
   </li>
  </ul>
  <li>
   Strong understanding of core data science concepts, sufficient to:
  </li>
  <ul>
   <li>
    Review and challenge modelling approaches
   </li>
   <li>
    Ensure models are production‑ready and correctly evaluated
   </li>
  </ul>
  <li>
   Hands‑on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.
  </li>
  <li>
   Expert knowledge of MLOps and CI/CD, including:
  </li>
  <ul>
   <li>
    Git‑based workflows
   </li>
   <li>
    Infrastructure as Code (e.g. Terraform)
   </li>
   <li>
    Automated testing and deployment pipelines
   </li>
  </ul>
  <li>
   Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response.
  </li>
  <li>
   Working knowledge of SQL and integration of ML services into wider data and application ecosystems.
  </li>
  <li>
   Experience using AI‑assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You&rsquo;ll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.
 <br/>
 <br/>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Principal Machine Learning Engineer

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