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data cabling engineer

Route B

IT equipment installation and cabling in a hospitality environment.The job is based in central London.Must be reliable and available to work this week.Job Type: FreelancePay: &pound;150.00 per dayBenefits:<ul><li>Free or subsidised travel</li></ul>Willingness to travel:<ul><li>100% (required)</li></ul>Work Location: In person

Data Cabling Engineer

Burns Sheehan

<div>
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
 
 
 
 
 
 📍 London (Hybrid, 3 days per week)
 
 
 
 
 
 
 
 💵 &pound;80,000 &ndash; &pound;90,000 + 10-20% Bonus
 
 
 
 
 
 
 
 💻 Python, Django, Flask, Pandas, APIs, Airflow, Data Processing
 
 
 
 
 
 
 
 📈 Growing Private Credit technology platform
 
 
 
 
 
 
 
 ⚙️ Backend ownership, platform engineering and data-adjacent challenges
 
 
 
 
 
 
 
 
 
 We're partnered with a specialist technology business operating within the Private Credit and Asset Finance space. Following multiple new client wins and a significant increase in platform demand, they're expanding their engineering team with the hire of a Senior Backend Engineer.
 
 
 
 
 
 This is a genuine ownership role within a small, highly capable engineering team. Engineers are responsible for features and components from design through to delivery, working closely with technical leadership and domain experts to shape the future of the platform.
 
 
 
 
 
 The business has built a sophisticated software platform used to manage and monitor complex financial workflows. As new projects continue to onboard, they're looking for an experienced Python engineer to help scale backend services, APIs and data-processing capabilities across the platform.
 
 
 
 
 
 One of the more interesting aspects of the opportunity is the level of influence available. There is no traditional product management layer, meaning engineers have direct input into technical decisions, ownership of meaningful components and the opportunity to shape how the platform evolves.
 
 
 
 
 
 
 Ideal profile:
 
 
 
 &bull; 5+ years' commercial software engineering experience
 
 
 &bull; Strong Python backend development experience
 
 
 &bull; Commercial experience with Django, Flask or similar frameworks
 
 
 &bull; Experience building APIs and backend services in production environments
 
 
 &bull; Comfortable working with data-processing workflows, ETL pipelines or DataFrame-style tooling
 
 
 
 
 
 
 
 
 
 Senior Backend Engineer &ndash; Fintech - Python
 
 
</div>

Senior Software Engineer

Selby Jennings

<div>
 
 Our client a quantitative and systematic hedge fund looking for a Cloud Engineer. This role sits within a globally distributed quantitative research and engineering organisation where you will design, build, and evolve advanced cloud platforms that power large‑scale modelling, complex data analysis, and high‑throughput experimentation. You will work directly with researchers and engineers to architect bespoke cloud environments, enabling rapid iteration, secure computation, and efficient scaling across a wide range of analytical workloads.
 
 
 
 
 The ideal candidate is a highly skilled cloud engineer with deep architectural experience, a passion for automation, and a strong understanding of modern research‑driven compute environments. You be comfortable owning end‑to‑end technical decisions, and enjoy building infrastructure that directly accelerates scientific and analytical innovation. This is a high‑impact role for someone who thrives in technically demanding, fast‑moving environments.
 
 
 
 
 Responsibilities:
 
 <ul>
 <li>
 Design and deploy tailored AWS architectures that support high‑performance modelling, experimental workloads, and large‑scale compute pipelines.
 </li>
 <li>
 Collaborate closely with research, engineering, and data teams to build flexible, secure, and scalable cloud environments aligned with demanding analytical requirements.
 </li>
 <li>
 Ensure exceptional reliability, availability, and performance across compute, storage, orchestration, and monitoring layers.
 </li>
 <li>
 Automate cloud provisioning, configuration, and observability using modern IaC and DevOps practices to accelerate development cycles.
 </li>
 <li>
 Continuously refine and optimise cloud systems for scalability, cost‑efficiency, operational simplicity, and long‑term platform evolution.
 </li>
 </ul>
 
 
 
 Requirements:
 
 <ul>
 <li>
 Previous experience in cloud engineering or architecture experience with strong hands‑on expertise in AWS environments.
 </li>
 <li>
 Deep understanding of core AWS services including container orchestration, compute, storage, networking, monitoring, and identity/security services.
 </li>
 <li>
 Proven ability to design secure, resilient, and highly available cloud platforms for data‑intensive or compute‑heavy environments.
 </li>
 <li>
 Strong familiarity with DevOps and IaC tooling (e.g., Terraform), containerisation, Kubernetes, and modern cloud‑native patterns.
 </li>
 <li>
 Excellent troubleshooting, communication, and cross‑team collaboration skills, with the ability to operate confidently in fast‑paced technical environments.
 </li>
 </ul>
</div>

Cloud Engineer AWS

ONNEC Group

<div>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.
We are recruiting for an experienced Focal Network Engineer to join our team in providing technical engineering duties on our projects and support contracts. The Focal Network Engineer will have a hybrid role in supporting managed service customers and undertaking project work.
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.
Required Knowledge / Experience:
<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>
Additional duties:
<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>
Desirable
<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>
If you feel you have the required skills and experience, click apply now to be considered as our Focal Network Engineer &ndash; we&rsquo;d love to hear from you!</div>

Focal Network Engineer

Signify Technology

<div>
 
 Job Title:
 
 Platform Engineer
 
 
 
 Location
 
 : London (Hybrid)
 
 
 
 Employment Type
 
 : Full-time
 
 
 
 About The Role
 
 
 
 My client are seeking an experienced platform engineer to join their team in London. This role is ideal for someone who thrives at the intersection of infrastructure, security, and software engineering. You&rsquo;ll be instrumental in designing, building, and maintaining our platform infrastructure, with a focus on secure, scalable, and reliable systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead infrastructure projects from start to finish, delivering secure, scalable, and high-performance systems
 </li>
 <li>
 Design, build, and maintain cloud and on-premises infrastructure with security and reliability in mind
 </li>
 <li>
 Write high-quality internal tools and automation scripts using Python
 </li>
 <li>
 Collaborate with engineering and security teams to ensure compliance, observability, and incident readiness
 </li>
 <li>
 Contribute to infrastructure as code and CI/CD pipeline improvements
 </li>
 <li>
 Monitor system health and performance, proposing and implementing enhancements
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in platform, infrastructure, or DevOps engineering roles
 </li>
 <li>
 Proven track record of leading infrastructure or security projects end to end
 </li>
 <li>
 Strong knowledge coding in Python and comfortable using it
 </li>
 <li>
 Strong background in infrastructure architecture and operations
 </li>
 <li>
 Deep understanding of security best practices across cloud and on-prem environments
 </li>
 <li>
 Proficiency in Python, with experience building tools or automation scripts
 </li>
 <li>
 Familiarity with AWS and its tools
 </li>
 <li>
 Excellent communication skills and a collaborative mindset
 
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 Experience with AI/ML infrastructure or supporting data science workflows
 
 
 Exposure to MLOps tooling or machine learning model deployment
</div>

Platform Engineer

Digital Waffle

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

Artificial Intelligence Engineer

Houseful

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

AI Engineer (Contract)

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