senior support engineer

Janus Henderson Investors

<p></p><div><p>Why work for us?</p><br>
<p></p>
<p>
A career at Janus Henderson is more than a job, it&rsquo;s about investing in a brighter future together.</p>
<p>
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.</p><br>
<p></p>
<p>
Our Values are key to driving our success, and are at the heart of everything we do:</p><br>
<p></p>
<p>
Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust</p><br>
<p></p>
<p>
If our mission, values, and purpose align with your own, we would love to hear from you!</p><br>
<p></p>
<p>
Your opportunity</p><br>
<p></p>
<p>
The Senior Cloud Engineer &ndash; Cloud COE is a hands-on engineering role responsible for building, automating and operating Azure cloud platforms. Reporting to Tech Lead &ndash; Cloud COE, this role focuses on Terraform-led infrastructure, Azure platform engineering, AKS, AVS, Azure Arc and BAU operations.</p><br>
<p></p>
<p>
Core responsibilities</p><br>
<p></p>
<p><b>
Cloud Engineering &amp; Platform Delivery</b></p>
<ul>
<li>Build, configure, and manage Azure infrastructure services including compute, storage, networking, backup, and platform services</li>
<li>Support deployment of enterprise landing zones, shared services, and workload environments</li>
<li>Implement cloud solutions aligned with architecture patterns and enterprise standards</li>
<li>Work closely with Tech Lead and Architecture teams to deliver strategic cloud initiatives</li></ul><br>
<p></p>
<p><b>
Infrastructure-as-Code (Terraform Focus)</b></p>
<ul>
<li>Develop and maintain Terraform modules and reusable infrastructure components</li>
<li>Deliver infrastructure provisioning via CI/CD pipelines (GitHub / Azure DevOps)</li>
<li>Ensure infrastructure deployments are consistent, version-controlled, and policy-compliant</li>
<li>Manage drift detection, environment consistency, and release governance</li></ul><br>
<p></p>
<p><b>
Azure Core Platform Skills</b></p>
<ul>
<li>Hands-on engineering across:
</li><li><ul><li>Subscriptions, Management Groups, RBAC, Policy</li>
<li>Virtual Machines, Storage, Backup, DR</li>
<li>Azure Monitor, Log Analytics</li>
<li>Private Endpoints and secure service exposure</li>
</ul></li><li>Implement secure-by-design configurations aligned to enterprise cloud controls</li></ul><br>
<p></p>
<p><b>
Azure Kubernetes Service (AKS)</b></p>
<ul>
<li>Deploy, configure, and support AKS clusters</li>
<li>Manage cluster scaling, patching, upgrades, and networking integration</li>
<li>Support container platform operations including monitoring and reliability</li>
<li>Collaborate with application teams for containerised workload deployments</li></ul><br>
<p></p>
<p><b>
Azure VMware Solution (AVS)</b></p>
<ul>
<li>Support AVS environments including connectivity, operations, and monitoring</li>
<li>Assist with workload migrations and integration with Azure-native services</li>
<li>Work with infrastructure teams to ensure stable hybrid VMware-cloud operations</li></ul><br>
<p></p>
<p><b>
Azure Arc &amp; Hybrid Cloud</b></p>
<ul>
<li>Implement and manage Azure Arc-enabled servers and services</li>
<li>Apply governance, policy, and monitoring across hybrid estates</li>
<li>Support consistency of operations across on-prem, AVS, and Azure-native environments</li></ul><br>
<p></p>
<p><b>
Cloud Networking &amp; Connectivity</b></p>
<ul>
<li>Configure and manage:
</li><li><ul><li>VNets, NSGs, UDRs</li>
<li>VPN Gateway, ExpressRoute</li>
<li>Private Endpoints and DNS</li>
</ul></li><li>Troubleshoot hybrid connectivity and latency issues</li>
<li>Support secure network design and segmentation</li></ul><br>
<p></p>
<p><b>
Identity, Access &amp; Security</b></p>
<ul>
<li>Support Microsoft Entra ID (Azure AD) configurations and integrations</li>
<li>Implement RBAC, SSO, and least privilege access models</li>
<li>Assist with security controls, compliance policies, and remediation activities</li></ul><br>
<p></p>
<p><b>
Monitoring, BAU &amp; Incident Management</b></p>
<ul>
<li>Support business-as-usual (BAU) cloud operations across environments</li>
<li>Monitor cloud services using Azure Monitor, Log Analytics, and alerting tools</li>
<li>Investigate incidents, perform root cause analysis, and implement fixes</li>
<li>Maintain platform stability, uptime, and service performance</li></ul><br>
<p></p>
<p><b>
Collaboration &amp; Engineering Excellence</b></p>
<ul>
<li>Work closely with:
</li><li><ul><li>Cloud COE team</li>
<li>Platform Engineering</li>
<li>Security and Architecture teams to contribute to internal Tech Architecture Board</li>
</ul></li><li>Contribute to reusable templates, standards, and best practices</li>
<li>Drive automation-first mindset and continuous improvement</li></ul><br>
<p></p>
<p>
What to expect when you join our firm</p><br>
<p></p>
<ul>
<li>Hybrid working and reasonable accommodations</li>
<li>Generous holiday policies</li>
<li>Excellent health and wellbeing benefits</li>
<li>Paid volunteer time</li>
<li>Professional development and certifications</li>
<li>Parental leave benefits</li>
<li>Access to Headspace</li>
<li>Employee events and networking opportunities</li>
<li>Subsidised lunch allowance</li></ul><br>
<p></p>
<p>
Must have skills</p><br>
<p></p>
<ul>
<li>5+ years of hands-on cloud engineering experience with Microsoft Azure</li>
<li>Strong Terraform (IaC) experience &ndash; module design, pipelines, governance</li>
<li>Deep knowledge of core Azure services (compute, storage, networking, identity)</li>
<li>Hands-on experience with:
</li><li><ul><li>Azure Kubernetes Service (AKS)</li>
<li>Azure networking (VNet, DNS, Private Endpoints, ExpressRoute/VPN)</li>
<li>Microsoft Entra ID / RBAC</li>
</ul></li><li>Experience supporting BAU operations, incident management, and troubleshooting</li>
<li>Strong scripting skills (PowerShell, Bash, or Python)</li>
<li>Experience with CI/CD pipelines (GitHub / Azure DevOps)</li>
<li>Understanding of cloud security and governance best practices</li>
<li>Experience working in enterprise-scale environments</li></ul><br>
<p></p>
<p>
Nice to have skills</p><br>
<p></p>
<ul>
<li>Experience with Azure VMware Solution (AVS)</li>
<li>Experience with Azure Arc (hybrid governance and management)</li>
<li>Exposure to FinOps / cost optimization practices</li>
<li>Certifications:
</li><li><ul><li>AZ-104 (Azure Administrator)</li>
<li>AZ-305 (Azure Architect)</li>
<li>AZ-700 (Networking)</li>
</ul></li><li>Terraform certification</li>
<li>Experience in financial services or regulated environments</li></ul><br>
<p></p>
<p>
Supervisory responsibilities</p><br>
<p></p>
<ul>
<li>No direct line management (individual contributor role with high technical ownership)</li></ul><br>
<p></p>
<p>
Potential for growth</p><br>
<p></p>
<ul>
<li>Progression to Tech Lead / Staff Engineer</li>
<li>Exposure to enterprise architecture and strategic cloud programmes</li>
<li>Opportunity to lead platform engineering initiatives</li>
<li>Cross-functional collaboration across global teams</li></ul><br>
<p></p>
<p>
Potential for growth</p><br>
<p></p>
<ul>
<li>Mentoring</li>
<li>Leadership development programs</li>
<li>Regular training</li>
<li>Career development services</li>
<li>Continuing education courses</li>
<li>Cross-functional collaboration</li></ul><br>
<p></p>
<p>
You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role.</p>
<p>
At Janus Henderson Investors, we&rsquo;re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don&rsquo;t worry if you don&rsquo;t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can&rsquo;t accommodate every flexible working request, we&rsquo;re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.</p><p></p><p><b><br>
Annual Bonus Opportunity:</b> Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.</p><br>
<p></p>
<p><b>
Benefits: </b>Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here.</p><br>
<p></p>
<p><b>
Janus Henderson Investors is an equal opportunity employer</b>. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.</p><br>
<p></p>
<p>
Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee&rsquo;s job functions (as determined by Janus Henderson at its sole discretion).</p><br>
<p></p>
<p>
You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants&rsquo; past political contributions or activity may impact applicants&rsquo; eligibility for this position.</p><br>
<p></p>
<p>
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.</p></div>

Senior Cloud Engineer, Cloud COE

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

HOMETRACK

<div><p>Hybrid working pattern - 2 days per week from London Bridge Office</p><p>
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.</p><p></p><p>
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.</p><p></p><p>
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.</p><p></p><p>
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.</p><p></p><p>
Hometrack is looking for an experienced senior data engineer to help us make this a reality.</p><p>
What we&rsquo;re looking for in a Senior Data Engineer:</p><ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact.</p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

Bloomberg

<div>
 Location
 <br/>
 <br/>
 London
 <br/>
 <br/>
 Business Area
 <br/>
 <br/>
 Engineering and CTO
 <br/>
 <br/>
 Ref #
 <br/>
 <br/>
 10049302
 <br/>
 <br/>
 <strong>
  Description &amp; Requirements
  <br/>
  <br/>
 </strong>
 Bloomberg&rsquo;s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
 <br/>
 <br/>
 Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.
 <br/>
 <br/>
 Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
 <br/>
 <br/>
 We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
 <br/>
 <br/>
 As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
 <br/>
 <br/>
 <strong>
  Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and diagnose multi-tenant AI platform systems
  </li>
  <li>
   Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
  </li>
  <li>
   Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
  </li>
  <li>
   Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
  </li>
  <li>
   Design CI/CD automation frameworks that incorporate regulatory requirements
  </li>
  <li>
   Develop cloud-native deployment patterns for AI systems across environments
  </li>
  <li>
   Troubleshoot and debug user issues
  </li>
  <li>
   Provide operational and user-facing documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are looking for a Senior ML Platform Engineer with:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
  </li>
  <li>
   Experience designing cloud-native, distributed platforms
  </li>
  <li>
   Strong knowledge of Kubernetes, Argo, and container orchestration technologies
  </li>
  <li>
   Previous experience with modern CI/CD tools and GitOps workflows
  </li>
  <li>
   Familiarity with implementing automation for model development lifecycles
  </li>
  <li>
   A proactive mentality and ability to collaborate with peers, stakeholders, and management
  </li>
  <li>
   A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
  </li>
  <li>
   An understanding of Computer Science fundamentals such as data structures and algorithms
   <br/>
   <br/>
  </li>
 </ul>
 We give back to the technology community and you can read more about our outreach at:
 <br/>
 <br/>
 If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
 <br/>
 <br/>
 Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
</div>


Senior ML Platform Engineer - Artificial Intelligence

Few&Far

<div>
 <p>
  🚨
  <strong>
   Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
  </strong>
  🚨
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 </p>
 <p>
  <br/>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;525 per day
  </strong>
 </p>
 <p>
  📍
  <strong>
   London - 1 day per week onsite
  </strong>
 </p>
 <p>
  📄
  <strong>
   Outside IR35
  </strong>
 </p>
 <p>
  ⚡
  <strong>
   1-stage interview process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll be working on:
 </p>
 <p>
  ✅ Modernising data lake &amp; data warehouse architecture
 </p>
 <p>
  ✅ Designing, building and optimising ETL/ELT pipelines
 </p>
 <p>
  ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 </p>
 <p>
  ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 </p>
 <p>
  ✅ Writing high-performance SQL and production-quality Python
 </p>
 <p>
  ✅ Improving platform reliability, monitoring and CI/CD
 </p>
 <p>
  ✅ Collaborating with stakeholders to deliver scalable data solutions
 </p>
 <p>
  ✅ Mentoring junior engineers through code reviews and best practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
 </p>
 <p>
  ☁️ AWS
 </p>
 <p>
  🐍 Python
 </p>
 <p>
  🗄️ SQL
 </p>
 <p>
  🔄 Airflow (AWS)
 </p>
 <p>
  📊 Looker (nice to have)
 </p>
 <p>
  <br/>
 </p>
 <p>
  I'm keen to speak with Data Engineers who have:
 </p>
 <p>
  ✔️ Strong experience building production-grade data pipelines
 </p>
 <p>
  ✔️ Advanced SQL and Python skills
 </p>
 <p>
  ✔️ Experience deploying and supporting ML models in production
 </p>
 <p>
  ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 </p>
</div>


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>

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