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ai operations engineer

<div><div><div>Job ID: R0057440</div>
</div><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><div><div>We don&rsquo;t just believe in better. We make it happen.
Better content. Better products. And better careers. 
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 
 
Role/Team overview
We are seeking an AI Operations Engineer to join our Group AI Engineering team and play a key role in keeping our autonomous AI systems running reliably across Sky. You&rsquo;ll work with cutting-edge AI technologies, from large language models to multi-agent architectures, ensuring the agentic solutions already in production stay secure, performant, observable, and cost-effective.
This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale. Where the build teams take solutions from prototype to launch, you&rsquo;ll own what happens next: maintaining live agentic systems, acting as the frontline support and point of contact for the stakeholders who depend on them, and continuously improving the reliability, security, and efficiency of the platform in production.
What you&rsquo;ll do
<ul><li>Keep existing agentic and multiagent AI solutions reliable, secure, and performant in production as usage and requirements evolve.
</li></ul><ul><li>Act as the point of contact for AI system issues, triaging, diagnosing, and resolving incidents while keeping stakeholders informed throughout.
</li></ul><ul><li>Own monitoring, observability, and quality across the AI estate, going beyond uptime to track health signals specific to agents, such as output quality, model and prompt regressions, and guardrail or tool call failures.
</li></ul><ul><li>Drive FinOps for AI workloads by tracking, attributing, and optimising the cost of LLM usage, compute, and cloud infrastructure to keep solutions efficient at scale.
</li></ul><ul><li>Manage and improve the underlying infrastructure across a stack including Python, AWS, Postgres, and Cloud Foundry and/or Kubernetes, applying sound operational and DevOps practices.
</li></ul><ul><li>Identify and remediate security vulnerabilities across the AI estate, patching dependencies and resolving scan findings so systems stay compliant with Sky's security standards and agentic AI governance.
</li></ul><ul><li>Support and maintain low code automation built in Copilot Studio and Power Automate, ensuring these flows stay reliable, governed, and integrated cleanly with the wider AI platform.
</li></ul><ul><li>As this is a production operations role, on-call cover may be required in the future to keep critical AI systems running reliably outside core hours.
</li></ul>Essential criteria:
<ul><li>Solid software engineering experience in Python, with a good understanding of Agile delivery in large scale enterprise environments.
</li></ul><ul><li>Experience supporting or operating production systems, ideally AI driven or data intensive, with strong monitoring, observability, and distributed systems diagnosis skills.
</li></ul><ul><li>Practical experience with cloud (particularly AWS), relational databases such as Postgres, and familiarity with container orchestration or PaaS such as Kubernetes and Cloud Foundry.
</li></ul><ul><li>Direct experience with low code automation in Copilot Studio and Power Automate, including configuring, troubleshooting, and supporting flows and their integrations.
</li></ul><ul><li>Strong communication and stakeholder management skills, comfortable being the calm point of contact during incidents and translating technical issues for business audiences.
</li></ul><ul><li>Practical experience keeping systems secure, managing dependencies, remediating vulnerabilities, and working to enterprise security standards.
</li></ul>Desirable skills and experience:
<ul><li>Exposure to LLM or agentic AI systems, FinOps cost management, or AI governance and responsible AI controls. 
</li></ul>Benefits and perks
There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here&rsquo;s a taster:
<ul><li>Free Sky TV or NOW package, including Sky Sports and Sky Cinema
</li></ul><ul><li>Pension package with up to 9% employer contribution
</li></ul><ul><li>Private healthcare with mental health support
</li></ul><ul><li>Aviva Digital GP and dental insurance
</li></ul><ul><li>Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect
</li></ul><ul><li>Sharesave and Tech schemes
</li></ul><ul><li>A range of Sky VIP rewards and experiences 
</li></ul>How you&rsquo;ll work
We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. The role is available in our Osterley or Livingston office.
Your office base
Osterley
 Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there&rsquo;s plenty of space to see your big ideas come to life. Here you&rsquo;ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. 
Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there&rsquo;s free onsite parking available for cars, motorbikes and bicycles.
Livingston Watermark
Sky Watermark is our central site for Livingston, sitting between Glasgow and Edinburgh. With vibrant office spaces, chill-out areas, and an onsite canteen, it&rsquo;s a great place to work and connect. 
The nearest train station is Livingston North. A Sky shuttle bus runs between the station and campus every 20 minutes throughout the day. Plus, there&rsquo;s onsite parking available for cars, motorbikes and bicycles.
Who we are
We&rsquo;re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you&rsquo;ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. 
We&rsquo;re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. 
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. 
To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. 
To find out more about working with us, search #LifeAtSky on social media.</div></div></div>

AI Operations Engineer (Python)

Conduct

<div>TL;DR: You'll make Conduct the most productive company per headcount by embedding AI into every workflow that matters - across GTM, finance, ops, and engineering. You understand what our developers are building, you can build alongside them, and you have the strategic instinct to know where automation creates the most leverage.<h2 class="jobSectionHeader">
Why Conduct
</h2>We believe the world's largest companies should move at the speed of their ideas, not the speed of the decade-old systems they run on. Today they don't.
Every process change, every new product line runs into SAP systems layered with decades of custom code and complexity no human mind can fully comprehend. New requirements take months to ship, system migrations cost $100M+ and years of pain.
We're building the AI operating system that absorbs this complexity and gives enterprises back their speed and ambition. Major enterprises already trust us with their most critical systems, we've closed game-changing SI partnerships, just raised a $60M Series A, and demand is outpacing what we can service.
We're a small, talent-dense team doing our life's work out of London and NYC. Extreme ownership, high velocity, low-ego collaboration. What you build here shapes the company and how the world's largest companies operate. We sponsor visas and are convinced diverse teams build better products, so we especially encourage underrepresented groups in tech to reach out.<h2 class="jobSectionHeader">
What you'll own
</h2>The mandate is simple: make every team at Conduct dramatically more productive through AI. You'll identify the highest-leverage opportunities across the company, build and deploy the automations, and own adoption end-to-end. You'll work as closely with our engineering team as you will with sales and ops - understanding what we're building technically, contributing to developer productivity workflows, and building internal tooling that makes our engineers faster.
In practice:<ul><li>
Partner directly with functional leads across GTM, product, finance, and ops to identify and prioritise the highest-impact automation opportunities</li><li>
Build and deploy AI agents, automations, and internal tooling, using both code-first approaches and modern low-code platforms depending on what's right for the job</li><li>
Work closely with the engineering team to understand what we're building technically, contribute to developer productivity workflows, and build automations that make engineers faster</li><li>
Build and maintain internal knowledge systems that compound in value over time</li></ul><h2 class="jobSectionHeader">
Who we hire
</h2>We're looking for someone who sits at the intersection of technical depth and operational instinct. You've built real things, not just mapped processes or written strategy docs. You understand how software gets built, you're comfortable working alongside engineers, and you bring enough commercial awareness to know which problems are actually worth solving.
In practice that tends to look like:<ul><li>
2+ years in a technical operations, solutions engineering, internal tools, or technical product role. You've been close to engineering teams and you know how to work with them, not just around them.</li><li>
Genuinely technical. You're comfortable with code-first approaches and can prototype real workflows, not just wire together low-code tools. You understand what our developers are building and can contribute meaningfully to engineering productivity.</li><li>
Hands-on with modern AI tooling. You've built real workflows using tools like Claude Code, Cursor, n8n, Clay, Gumloop, or similar and you have strong opinions about when to use what.</li><li>
A sharp process thinker. You spot inefficiency fast, know how to prioritise ruthlessly, and design solutions that actually get adopted.</li><li>
High ownership, low ego. You're as comfortable doing the hands-on build as you are presenting a business case to leadership. No task is beneath you if it moves things forward.</li></ul></div>

AI Operations 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)

Ventula Consulting

<div>
 
 
 AI / ML Engineer - AI Startup - London - &pound;80k - &pound;120k
 
 
 
 
 
 
 A newly established Voice AI startup with multi-million funding, is looking to hire an AI / ML Engineer to focus on their ML pipelines which process very high-volume events at scale.
 
 
 
 
 
 Our client is looking for an individual with significant experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML products
 
 
 
 
 
 To be suitable for this role you will require the below:
 
 
 
 
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Excellent experience as a, ML, or AI Engineer, with evidence of shipping production systems
 </li>
 <li>
 Strong Python skills and experience with FastAPI
 </li>
 <li>
 Experience working modern MLOps tools, ideally Kubeflow
 </li>
 <li>
 Strong experience working closely with LLMs (including fine-tuning, RAG, prompt engineering)
 </li>
 <li>
 Strong problem-solving skills and ability to communicate technical trade-offs clearly
 </li>
 <li>
 Collaborative mindset with experience working across technical and non-technical teams
 </li>
 </ul>
 
 
 
 
 
 
 
 This position is a permanent role, based in London, with 3-4 days a week in the company's office
 
 
 
 
 
 The role offers a salary between &pound;80,000 - &pound;120,000
 
</div>

AI / ML Engineer

THRivve by intelletec

<div>
 
 
 Expert AI Engineer &ndash; GenAI | Series B Fintech | London (Hybrid)
 
 
 
 
 
 
 We&rsquo;re hiring an Expert AI Engineer to help build a next-generation GenAI product used by top-tier banks, hedge funds, and asset managers. This is a high-impact role on a brand-new AI product&mdash;turning massive financial datasets into real-time, explainable insights using LLMs.
 
 
 You&rsquo;ll own architecture, ship production-grade AI systems, and work directly on a product already gaining serious traction with enterprise clients.
 
 
 
 
 
 
 Key points:
 
 
 <ul>
 <li>
 Build and scale LLM-powered features across large, complex datasets
 </li>
 <li>
 Design retrieval + reasoning systems for structured &amp; unstructured data
 </li>
 <li>
 Own end-to-end delivery of production AI applications
 </li>
 <li>
 Work closely with product + domain experts in a fast-moving team
 </li>
 </ul>
 
 
 
 
 
 What they want:
 
 
 <ul>
 <li>
 ~10+ years engineering experience
 </li>
 <li>
 Strong hands-on GenAI / LLM experience in production
 </li>
 <li>
 Solid backend skills (Python or similar)
 </li>
 <li>
 Proven ownership of complex systems
 </li>
 </ul>
 
 
 
 
 
 Package:
 
 
 <ul>
 <li>
 Up to &pound;130k base + equity
 </li>
 <li>
 London (Victoria) &ndash; Hybrid
 </li>
 </ul>
 
 
 
 
 High ownership, real-world impact, and a chance to shape how AI is used in global finance&mdash;drop me a message if you&rsquo;re interested.
 
</div>

Artificial Intelligence Engineer

Station

<div>
 
 
 Python Engineer
 
 
 
 
 
 
 
 (AI / LLM Focus)
 
 
 
 
 
 
 London (Hybrid) | 🚀 Fintech Scale-Up
 
 
 
 
 
 We&rsquo;re partnering with a fast-growing fintech company in London that&rsquo;s redefining how financial data is leveraged through cutting-edge AI. They&rsquo;re now looking for a Python Engineer with strong experience in AI and Large Language Models (LLMs) to help build intelligent, scalable products used by thousands of customers.
 
 
 
 
 
 This is a high-impact role where you&rsquo;ll work closely with product, data, and engineering teams to bring AI-driven features into production.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Designing and building scalable backend systems using Python
 </li>
 <li>
 Developing and integrating LLM-powered features into core products
 </li>
 <li>
 Working with modern AI frameworks (e.g. OpenAI, LangChain, Hugging Face)
 </li>
 <li>
 Collaborating with data scientists to productionise models
 </li>
 <li>
 Improving system performance, reliability, and scalability
 </li>
 <li>
 Contributing to architectural decisions in a growing engineering team
 </li>
 </ul>
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 <ul>
 <li>
 Strong experience with Python in a production environment
 </li>
 <li>
 Hands-on experience with LLMs or applied AI (prompt engineering, fine-tuning, RAG, etc.)
 </li>
 <li>
 Experience building APIs and backend services
 </li>
 <li>
 Solid understanding of cloud platforms
 </li>
 <li>
 Ability to work in a fast-paced, product-driven environment
 </li>
 </ul>
 
 
 
 
 
 Why join?
 
 
 <ul>
 <li>
 Work on genuinely impactful AI products in fintech
 </li>
 <li>
 Strong engineering culture with a focus on innovation
 </li>
 <li>
 Backed by top-tier investors
 </li>
 <li>
 Competitive salary + meaningful equity
 </li>
 <li>
 Flexible hybrid working in London
 </li>
 </ul>
 
 
</div>

Python Developer

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

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