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artificial intelligence engineer Jobs in London

artificial intelligence engineer

it infrastructure engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>3 years of experience building machine learning solutions and working with technical customers.</li>
<li>Experience designing cloud enterprise solutions and supporting customer projects to completion.</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience working with recommendation engines, data pipelines, or distributed machine learning.</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).</li>
<li>Understanding of the auxiliary practical concerns in production machine learning systems.</li>
<li>Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.</p><br>
<p>
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products.<br>
<br>
In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.</p><p><br>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.</li>
<li>Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.</li>
<li>Create and deliver best practice recommendations, tutorials, blog articles, and sample code.</li>
<li>Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.</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>

AI Infrastructure Engineer

Foundation Partners Group

<div><p><b>Lead DevOps Engineer</b> Central London (Hybrid, 2&ndash;3 days/week) | Up to &pound;150,000 | Just out of seed</p><p>
Own secure, multi-tenant infrastructure end-to-end, from GitOps to compliance controls, in a hands-on, fast-paced role shaping one of the most ambitious applications of AI today.</p><p><b>
The opportunity</b></p><p>
This is a rare shot to join right at the inflection point. Our client just closed their seed round and is now scaling fast: a team of just 15 building an AI operating system for a demanding, security-conscious industry. A unified intelligence layer that connects evidence, reasoning, and action across a complex, high-stakes lifecycle where getting it right matters enormously.</p><p>
The founding team includes operators who spent years deploying production AI inside some of the world's most demanding enterprise environments. They know what it takes to make ambitious technology hold up under real pressure, and they're now applying that standard to a domain that's ripe for transformation. This is early enough that what you build becomes the foundation everything else stands on, and senior enough that you'll be working alongside people who've done this at the highest level before.</p><p>
The systems being built run inside security-conscious, compliance-bound enterprises, where the infrastructure underneath has to be as trustworthy as the intelligence layered on top of it.</p><p>
The company now needs a Lead DevOps Engineer to own that infrastructure end to end. At a team of 15, this isn't a role where you sit in a queue of tickets. You'll be the single, clear owner of how the company deploys, operates, secures, and scales, across its own platform and across isolated customer environments where the bar for trust is absolute. It's a huge amount of responsibility and autonomy, which is exactly the appeal.</p><p><b>
What you'll own</b></p><ul><li><p>
The GitOps deployment backbone on Argo CD, so a small team can ship continuously and safely across many clusters</p></li><li><p>
Kubernetes on AWS (EKS) across the fleet of production environments</p></li><li><p>
Infrastructure-as-code in Terraform/OpenTofu and Terragrunt, the source of truth for everything the company runs</p></li><li><p>
Multi-tenant, per-customer isolation: standing up a fully isolated, compliant environment for each customer, with its own cluster and data plane, and deploying to it with confidence. This is the hardest and most important part of the job.</p></li><li><p>
Security and compliance posture: secrets management, access controls, infrastructure hardening, and the audit-grade controls customers will hold you to</p></li><li><p>
Observability: telemetry, metrics, logging, tracing, dashboards, and alerting that keep a complex distributed system legible</p></li><li><p>
Reliability, incident response, and the operational runbooks that protect customer trust</p></li><li><p>
CI/CD and release automation that keep the shipping cadence high</p></li><li><p>
Developer experience: making it fast and painless for engineers to deploy and debug</p></li></ul><p><b>
Who we're looking for</b></p><p>
The ideal candidate will have come from a FAANG, Anthropic, OpenAI, Palantir type organisation, or from an exceptional AI startup, where they have personally owned and built the DevOps function while remaining hands on. This isn't someone who managed a team that did the work. It's someone who did the work themselves at a high standard, and knows what world class infrastructure looks like because they've built it before.</p><ul><li><p>
At least 4 years in DevOps, platform engineering, SRE, or infrastructure</p></li><li><p>
You've owned production systems rather than only contributing to them, including multi-tenant or customer-specific environments, and you understand the complexity that comes with them</p></li><li><p>
Deep fluency with Kubernetes, a major cloud (AWS preferred), GitOps, and infrastructure-as-code, plus the judgment to know when not to add another layer</p></li><li><p>
You come from somewhere that held a high bar, and you expect engineering excellence from yourself and the systems around you</p></li><li><p>
You're hands-on and have no interest in a purely architectural role. You explain complex tradeoffs simply and don't over-engineer.</p></li><li><p>
You treat speed, security, cost, and reliability as constraints that all apply at once, and you've struck that balance before</p></li><li><p>
Bonus: you've operated under formal security or compliance regimes (SOC2, HIPAA, or similar) and know how to make controls a strength rather than a tax</p></li></ul><p><b>
Why this role</b></p><ul><li><p><b>
Ground floor of something huge</b>: 15 people, large seed funding, and a mandate to build the infrastructure backbone from the ground up</p></li><li><p><b>
Real ownership</b>: you're not one of many DevOps hires. You're the DevOps hire</p></li><li><p><b>
Central London</b>, hybrid 2&ndash;3 days a week: flexibility without losing the energy of an in-person team</p></li><li><p><b>
Up to &pound;150,000</b>, reflecting the seniority and trust this role carries</p></li></ul><p>
This is a high-intensity, high-stakes role. The team moves quickly and gives direct feedback, the responsibility you carry will likely outrun your title, and you'll go wherever the work needs you most, which sometimes means unglamorous tasks that matter more than anything else that week. The people who thrive here find that kind of ownership and growth exciting, and they weren't looking for a nine-to-five.</p></div>

Lead DevOps Engineer (AI Early Stage Startup)

Client Server

<div>
 <p>
  <strong>
   <u>
    Software Engineer / Developer (Python SQL) London to &pound;150k+
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you a data savvy Software Engineer with strong Python coding skills?
 </p>
 <p>
  <br/>
 </p>
 <p>
  You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your role:
  </strong>
 </p>
 <ul>
  <li>
   Design and build data platform components using Python
  </li>
  <li>
   Develop and optimise ETL pipelines, Data Lakes/ Lakehouses and distributed systems
  </li>
  <li>
   Improve infrastructure, observability and CI/CD practices
  </li>
  <li>
   Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
  </li>
  <li>
   Support platform operations, ensuring reliability and performance
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location / WFH:
  </strong>
 </p>
 <p>
  You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you:
  </strong>
 </p>
 <ul>
  <li>
   You have strong backend development experience with Python
  </li>
  <li>
   You have experience of working with financial or market data
  </li>
  <li>
   You have experience of designing and operating data-intensive and distributed systems
  </li>
  <li>
   You have a strong knowledge of databases (Relational, NoSQL and Columnar)
  </li>
  <li>
   You're keen to take ownership and work across the full development lifecycle
  </li>
  <li>
   You're collaborative and pragmatic with strong stakeholder management skills
  </li>
  <li>
   You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What's in it for you:
  </strong>
 </p>
 <p>
  As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
 </p>
 <ul>
  <li>
   Salary to &pound;150k
  </li>
  <li>
   Bonus
  </li>
  <li>
   Pension
  </li>
  <li>
   Self development and career progression opportunities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply now
  </strong>
  to find out more about this Software Engineer / Developer (Python SQL) opportunity.
 </p>
</div>


Software Engineer Python SQL - Market Data

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

Atos

<div><p><b>About Atos Group</b></p><br>
<p></p>
<p>
Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. &euro;7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext Paris.</p><p><br>
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.</p><p><b>
Overview</b></p>
<p>
The role requires a DevOps Cloud engineer with solid Wintel experience to implement cloud platform infrastructure for the MOD/Army geographic data intelligence service known as MCBRIDE.</p><br>
<p></p>
<p><b>
Professional Development:</b><br>
We prioritise career advancement within a collaborative team environment. Whether you are looking to move into leadership or deepen your technical expertise, we provide the support to help you achieve your career goals.</p><br>
<p></p>
<p><b>
Role Objective</b></p>
<p>
The Wintel DevOps Engineer is responsible for implementing the Windows infrastructure components of the MCBRIDE service as well as additional AWS cloud native services (this may extend to Google Cloud Platform in the future). This includes traditional Wintel roles such as Active Directory configuration and DevOps processes and tools including Terraform and Git.</p><br>
<p></p>
<p><b>
Expected Outputs</b></p>
<ul>
<li><b>Terraform IaaC:</b> Create Terraform code to deploy and maintain infrastructure on the MOD&rsquo;s AWS Cloud platform. Experience on Ansible is desirable but not required as training can be provided.</li>
<li><b>Wintel:</b> Configure Windows Server, Active Directory, Group Policy, DNS, Certificate Services and other windows configurations, including PowerShell scripting.</li>
<li><b>GitOps:</b> Work within the git-based framework for managing the infrastructure code base.</li>
<li><b>Close Collaboration:</b> Work closely with a small team of DevOps engineers and architects, creating a culture of inclusive collaboration, resulting in the best solutions for MCBRIDE.</li>
<li><b>Creativity:</b> Able to find solutions when working on a platform with significant security restrictions in place.</li>
<li><b>Curiosity:</b> As the platform evolves to include more services and technologies, the willingness to learn and apply new technologies.</li></ul><br>
<p></p>
<p><b>
Skills we can&rsquo;t do without:</b></p>
<ul>
<li>DevOps - good familiarity with core DevOps processes and tools including CI/CD pipelines, git version control, Terraform.</li>
<li>Wintel &ndash; strong core Wintel skills covering all aspects of Active Directory and Windows Server</li>
<li>Cloud &ndash; given that the OS component of the service is built on AWS, knowledge and experience of AWS is preferrable but any experience on one of the key hyperscalers (AWS, Azure, GCP, Oracle) is suitable</li>
</ul><ul><li>A good understanding of cloud security principles and regulatory standards.</li>
<li>Strong analytical and troubleshooting skills to resolve implementation and operational challenges.</li>
<li>Keeping up to date on best practices in cloud computing.</li></ul><br>
<p></p>
<p><b>
Previous Experience Required</b></p>
<ul>
<li>Few years in IT infrastructure roles.</li>
<li>Proven experience in Wintel tasks.</li>
<li>Proven experience in a DevOps role.</li>
<li>Previous experience of MOD platforms/processes/ways of working would be beneficial but is not required.</li></ul><br>
<p></p>
<p><b>
Nice to have (not mandatory):</b></p>
<ul>
<li>Hands on experience on Ansible</li>
<li>Optional experience with any of containerisation: Kubernetes, Hashicorp vault, Prometheus, Grafana, ELK stack is an advantage.</li></ul><br>
<p></p>
<p><b>
Certifications</b></p>
<p>
It would be beneficial to have any of the following certifications:</p>
<ul>
<li>Hashicorp Terraform Associate.</li>
<li>AWS/Azure/GCP/Oracle Associate.</li>
<li>Microsoft AZ-800/AZ-801, MCSA, MCSE</li></ul><br>
<p></p>
<p>
 <b>Additional Requirements:</b></p>
<ul>
<li>Security clearance, or eligibility and willingness to obtain higher clearance.</li>
<li>Working model: Hybrid/ should be open to work onsite as well</li></ul><br>
<p></p>
<p><b>
Benefits:</b></p>
<ul>
<li>Pension Scheme - contributions matched up to 10%</li>
</ul><ul><li>Private medical cover</li>
</ul><ul><li>Income Protection</li>
</ul><ul><li>Life Assurance</li>
</ul><ul><li>25 days paid leave + National Holidays</li>
</ul><ul><li>Flex benefits program</li></ul><br>
<p></p>
<p>
As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. We are a care leaver friendly employer.</p>
<p><i>
If you require additional support with your application, please contact our Recruiter </i><i>Mihaela Perelighin on LinkedIn</i> <i>or send an email to our dedicated mailbox</i> -<i> </i><i>UK-Recruitment-Support@atos.net</i></p><br>
<p></p>
<p>
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.</p><br>
<p></p>
<p>
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.</p><p></p><p><br>
<b>
Choose your future. Choose Atos.</b></p></div><p></p>

DevOps Wintel Engineer

LSEG

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It&rsquo;s how we&rsquo;ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.
 <br/>
 <br/>
 Through a comprehensive suite of trusted financial market infrastructure services &ndash; and our open-access model &ndash; we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.
 <br/>
 <br/>
 LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG&rsquo;s ticker symbol is LSEG.
 <br/>
 <br/>
 <strong>
  OUR PEOPLE
  <br/>
  <br/>
 </strong>
 People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.
 <br/>
 <br/>
 We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.
 <br/>
 <br/>
 We know that real personal growth cannot be achieved by simply climbing a career ladder &ndash; which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.
 <br/>
 <br/>
 As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.
 <br/>
 <br/>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 Lead DevOps Engineer &ndash; Cloud Platform &amp; Site Reliability
 <br/>
 <br/>
 Location: Nottingham or London, UK
 <br/>
 <br/>
 Team: LSEG Risk Intelligence Engineering
 <br/>
 <br/>
 Are you passionate about building scalable, secure, and resilient platforms that power global Risk Intelligence products?
 <br/>
 <br/>
 We&rsquo;re looking for a Lead DevOps Engineer to help drive innovation, mentor the DevOps engineering team and shape the future of our cloud-native infrastructure.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 As a Lead DevOps Engineer, you&rsquo;ll be a hands-on technical leader, guiding the design and implementation of modern DevOps and platform engineering practices:
 <br/>
 <br/>
 <ul>
  <li>
   Automate full-stack infrastructure using Terraform and GitLab
  </li>
  <li>
   Lead the design of CI/CD pipelines with GitLab CI to enable fast, secure, and reliable software delivery
  </li>
  <li>
   Deploy and manage Kubernetes workloads using Amazon EKS and Istio Service Mesh for service discovery, traffic management, and observability
  </li>
  <li>
   Implement monitoring and alerting to ensure high availability, performance, and reliability
  </li>
  <li>
   Collaborate with cross-functional teams to ensure infrastructure aligns with development and business goals
  </li>
  <li>
   Mentor and guide DevOps engineers, fostering a culture of continuous improvement, automation, security and operational excellence
  </li>
  <li>
   Evaluate and implement new technologies to enhance platform capabilities and developer experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrable AWS and Kubernetes (EKS) expertise
  </li>
  <li>
   Hands-on experience with Terraform, GitLab CI and Bash/Python
  </li>
  <li>
   Orchestration and monitoring tools &ndash; Istio, Datadog, Grafana, Prometheus, ELK
  </li>
  <li>
   6+ years in DevOps or Platform Engineering roles experience in a lead role
  </li>
  <li>
   Proven experience building and operating cloud-native platforms
  </li>
  <li>
   Strong communication, problem solving and collaboration skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Development experience in a major language (Java, C++, C# etc.)
  </li>
  <li>
   AWS certifications and financial services background
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Career Stage:
  <br/>
  <br/>
 </strong>
 Senior Associate
 <br/>
 <br/>
 <strong>
  London Stock Exchange Group (LSEG) Information:
  <br/>
  <br/>
 </strong>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 <br/>
 <br/>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 <br/>
 <br/>
 Our purpose is the foundation on which our culture is built. Our values of
 <strong>
  Integrity, Partnership
 </strong>
 ,
 <strong>
  Excellence
 </strong>
 and
 <strong>
  Change
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</div>


Lead DevOps Engineer

ONNEC Group

<div><p>ONNEC is now the UK&rsquo;s largest pure play physical IT infrastructure, network, and connectivity companies, with expertise throughout the data centre, office, and smart building environments.</p>
<p>We are recruiting for an experienced <b>Focal Network Engineer</b> to join our team in providing technical engineering duties on our projects and support contracts. The <b>Focal Network Engineer</b> will have a hybrid role in supporting managed service customers and undertaking project work.</p>
<p><b>Candidates must aspire to achieve a minimum level accreditation of Cisco CCNP Routing &amp; Switching (or other Enterprise vendor) and have demonstrable experience in technical design, configuration and fault finding.</b></p>
<p><b>Required Knowledge / Experience:
</b></p><ul><li>Experience of Enterprise networking deployment across Routing, Switching, Wireless and Security hardware platforms.</li>
<li>Good working understanding of Network Server builds to deliver DHCP/DNS/AD services across both physical and virtual machines.</li>
<li>Appreciation of the Azure global cloud computing platform</li>
<li>VRF/VLAN/IP Configuration</li>
<li>PRTG configuration and monitoring experience</li>
<li>Firewall policies, access lists and rule sets creation and modification.</li>
<li>Capable of converting high level network designs to low level network designs.</li>
<li>Vendor licensing registration/generation.</li>
<li>Maintains personal knowledge of vendor technology developments.</li>
<li>Familiarisation with Cisco suite of networking products including Nexus, Catalyst, Meraki, DNA and Prime</li>
<li>Essential minimum level accreditation of CCNP Routing &amp; Switching.</li>
<li>Clear and concise report writing.</li>
</ul>
<p><b><i>Additional duties:</i></b></p>
<ul><li>On-call standby rota to support 24x7 customers</li>
<li>Evaluation of supported estate for End of Life and End of Service notifications</li>
<li>Monitor and communicate technical bulletins for vendors especially around security.</li>
<li>Support requirements for out of hours customer BAU activities including PPM and Black Building tests.</li>
<li>Halo Service Desk configuration and monitoring</li>
<li>Proactive regular review and update of networking credentials for the support base</li>
</ul>
<p><b><i>Desirable</i></b></p>
<ul><li>Understand third party IP applications/concepts i.e., BMS, Lighting Controls, CCTV etc.</li>
<li>Cisco Software Defined Networking (DNA) configuration and deployment experience</li>
</ul>
<p>If you feel you have the required skills and experience, click <b>apply </b>now to be considered as our <b>Focal Network Engineer </b>&ndash; we&rsquo;d love to hear from you!</p></div>

Focal Network Engineer

Explore 149+ It infrastructure engineer in London this July. Find roles across top companies and apply now to boost your career.