ai engineer

platform engineer

ai software engineer

analytics engineer

infrastructure engineer

ai infrastructure architecture analyst

Sharegain

<div>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?
 </p>
 <p>
  Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It&rsquo;s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.
 </p>
 <p>
  Every Sharegainer has their own backstory, but we all share an ambition to do things differently &ndash; bigger, better, and greater. Together we&rsquo;re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
 </p>
 <p>
  <strong>
   About The Role
  </strong>
 </p>
 <p>
  We are looking for an experienced AI Engineer to join our R&amp;D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development &ndash; from technologies and security to scalability and reliability.
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   End-to-end ownership of AI &amp; agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows. Own the full model quality lifecycle from experimentation through to production monitoring and improvement.
  </li>
  <li>
   Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
  </li>
  <li>
   Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.
  </li>
  <li>
   Translate business needs into concrete system architecture and implement it end-to-end across the stack
  </li>
 </ul>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   6+ years of software development experience
  </li>
  <li>
   Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications. Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.
  </li>
  <li>
   Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code
  </li>
  <li>
   Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance
  </li>
  <li>
   Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing
  </li>
  <li>
   Experience with at least one major cloud provider (AWS, Azure, or GCP)
  </li>
  <li>
   Experience with Kubernetes and Docker containers
  </li>
  <li>
   Experience designing and building microservices architecture
  </li>
  <li>
   A team player with a positive attitude and a problem-solver mindset
  </li>
 </ul>
</div>


AI Software Engineer

Appvia

<div>Principal Cloud Network Architect - Active UK Government Security Clearance Required<p>
Location: UK - Hybrid / customer-site requirements TBC</p><p>
Contract: Permanent, Full-time</p><p>
Package: &pound;85,000 - &pound;95,000 + 10% Bonus + 10% Shares + Benefits</p>
About Appvia<p>
Appvia is a specialist cloud, platform, and solutions engineering consultancy, helping organisations modernise infrastructure, improve reliability, and adopt cloud-native practices that enable long-term, sustainable delivery.</p><p>
Our engineering capability spans AWS, Azure, platform engineering, networking, software, data, AI, delivery, and managed services.</p><p>
We work across complex, high-impact environments in both the public and private sector, delivering solutions where security, resilience, scalability, and operational excellence are critical.</p>
About the Role<p>
We&rsquo;re hiring a Principal Cloud Networking Architect to join Appvia on a new secure public sector engagement, providing technical leadership across complex cloud, hybrid, and enterprise networking environments.</p><p>
This is an architecture-led role for someone who can own technical direction, translate complex requirements into practical network solutions, and provide assurance across design and delivery.</p><p>
You&rsquo;ll work across AWS cloud networking, hybrid connectivity, secure landing zones, network architecture, and technical governance, acting as a trusted technical authority for Appvia and our customer.</p><p>
While the initial engagement has a strong networking and live-service focus, you&rsquo;ll also sit within Appvia&rsquo;s wider cloud and platform engineering capability, with opportunities to influence architecture and engineering standards across future programmes.</p><p>
Interview Process - 3 Stage</p><ul><li>
Discovery conversation with Talent Acquisition</li><li>
Technical &amp; Architecture Interview with Engineering Team</li><li>
Final Interview with Leadership</li></ul>
Important<p>
You must hold active UK Security Clearance (SC).</p><p>
NPPV3 clearance is highly desirable.</p><b><br>
Requirements</b><br>
<br>
About You<p>
You are a senior cloud and network architect with the technical depth to operate across both enterprise networking and modern cloud environments.</p><p>
You will bring:</p><ul><li>
Strong experience owning cloud and network architecture across complex enterprise environments</li><li>
Deep AWS networking knowledge across secure, scalable, and highly available architectures</li><li>
Experience designing hybrid cloud connectivity and multi-account network environments</li><li>
Strong understanding of enterprise routing, network segmentation, security, and resilience</li><li>
Experience designing cloud landing zones and their associated networking architecture</li><li>
Strong understanding of network and cloud security principles</li><li>
Experience producing and reviewing architecture documentation and technical designs</li><li>
Confidence operating within Technical Design Authority or architectural governance processes</li><li>
Ability to evaluate designs against security, operational, and regulatory requirements</li><li>
Strong stakeholder management and the ability to communicate complex technical decisions clearly</li><li>
Experience working in regulated, enterprise, or public sector environments</li><li>
Active UK SC clearance</li></ul>
Responsibilities<ul><li>
Own cloud and network architecture across complex customer environments</li><li>
Define technical direction for secure, scalable, and resilient networking solutions</li><li>
Design AWS network architectures across multiple accounts, workloads, and environments</li><li>
Shape hybrid connectivity between cloud and on-premises infrastructure</li><li>
Define networking patterns for cloud landing zones and platform environments</li><li>
Provide architectural leadership across routing, connectivity, segmentation, security, and resilience</li><li>
Produce and review high-level and detailed technical designs</li><li>
Provide technical assurance and governance across network and cloud changes</li><li>
Assess architectural decisions against security, operational, and regulatory requirements</li><li>
Identify technical risks, dependencies, and opportunities for improvement</li><li>
Work closely with network engineers, platform engineers, security teams, service management, and customer architects</li><li>
Act as a trusted technical advisor to senior customer stakeholders</li><li>
Support and mentor engineers while raising architecture and engineering standards</li></ul>
Technical Skills<p>
Core technologies / experience:</p><ul><li>
AWS cloud networking</li><li>
VPC architecture</li><li>
Transit Gateway</li><li>
Direct Connect</li><li>
Route 53</li><li>
Hybrid cloud connectivity</li><li>
Multi-account AWS networking</li><li>
Enterprise routing and network architecture</li><li>
Network segmentation and security</li><li>
Secure cloud landing zones</li><li>
High availability and disaster recovery</li><li>
Architecture governance and assurance</li><li>
Technical Design Authority experience</li></ul><p><b>
Nice to have:</b></p><ul><li>
AWS Certified Advanced Networking - Specialty</li><li>
AWS Solutions Architect - Professional</li><li>
Wider AWS professional or specialty certifications</li><li>
Multi-cloud networking experience</li><li>
Cloud security architecture</li><li>
Enterprise and application integration architecture</li><li>
Infrastructure-as-code and network automation exposure</li><li>
CCNP / CCIE or equivalent networking certifications</li><li>
NPPV3 clearance</li></ul><br>
<b>
Benefits</b><p><b><br>
Why join Appvia?</b></p><p>
We are a self-funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud.</p><p>
We are on a mission to enable organisations to make cloud-based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry.</p><p>
With us our customers, like the UK&rsquo;s Home Office &amp; Bank of England, are harnessing cloud-native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products.</p><p></p><p><b>
What&rsquo;s on offer?</b></p><ul><li>️ <b>Work-life balance</b></li></ul><ul>
<li>Flexible working with core hours of 10-4pm because we know life happens outside of work</li>
<li>Hybrid working - only one compulsory office day per month
</li><li>25 days&rsquo; holiday a year, plus bank holidays</li>
<li>An additional day off for your birthday</li>
<li>Enhanced maternity and paternity to full pay</li>
<li>Workplace Nursery Benefit to help working parents
 </li></ul><p></p><p><b>For your well-being</b></p><ul>
<li>Full Private Healthcare cover for you with partners and children covered 50%</li>
<li>Death in Service</li>
<li>Cycle to Work scheme
</li><li>Electric Car Scheme</li>
<li>Pension plus a salary sacrifice option for even greater savings</li>
<li>Employee Assistance Programme</li>
<li>Free hygiene products available in the London office</li>
 </ul><p></p><p><b>Mental health support</b></p><ul>
<li>Free therapy through AXA</li>
<li>Access to the Headspace App</li>
<li>Trained Mental Health First Aiders</li>
</ul><p></p><p><b>Other fun perks</b></p><ul>
<li>Learning budget of &pound;1,000 a year</li>
<li>Your own MacBook Pro while you work at Appvia</li>
<li>Dog friendly office</li>
<li>Wear what makes you comfortable</li>
<li>Free snacks in the office</li>
<li>Regular team socials, board game nights, industry meetups and more!</li>
<li>Pool table &amp; ping pong table</li>
</ul><p></p><p>But don&rsquo;t just take our word for it, you can check out what our Appvians say about us on Glassdoor and by following us on LinkedIn, Twitter and TikTok.</p><p>
We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status.</p><p><b>
Note:</b> While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.</p></div>

Principal Cloud Network Architect - Active UK Government Security Clearance

Fresha

<div><h4 class="jobSectionHeader"><b>Location: Old Street, London &mdash; Onsite (4 days / week)</b></h4><div><p><b><br>
Fresha: Shaping the Future of Beauty &amp; Wellness</b></p></div><p></p><div><p>
Join Fresha, the leading marketplace platform transforming the beauty and wellness industry globally. With over 120,000 businesses and 450,000 stylists trusting our platform, we've powered over 1 billion appointments worldwide. Fresha empowers businesses with an all-in-one platform for bookings, point-of-sale, marketing, and more, while connecting consumers to local services.</p></div><p></p><div><p>
At Fresha, we believe AI is a force multiplier for feature delivery, not just a coding assistant. We provide every engineer with top-tier tooling (Claude, GitHub Copilot, Cursor) to strip away technical toil&mdash;so you can focus your energy on shipping high-impact product features. We value engineers who know how to leverage these tools to drive momentum within our 6-week cycles, accelerating the journey from concept to code while maintaining the deep technical judgment to verify, secure, and own the final user experience.<br>
<br>
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work in the office four days per week, with the flexibility to work remotely on Wednesdays. <b>London office:</b> The Bower, 207-211, Old St, Tower, London EC1V 9NR</p></div><p></p><div><p><b>
Role Overview</b></p></div><p></p><div><p>
Given our exciting and progressive growth plans, we are looking for an exceptional <b>Senior Backend Engineer</b> to join our global business.</p></div><p></p><div><p>
Reporting directly to the <b>Team Lead</b>, and working collaboratively in a<b> </b><b>cross-functional product team within a tribe</b>, you will be <b>accountable for designing and developing applications and coordinating with the rest of the team working on different layers of the infrastructure Fresha</b>.</p></div><p></p><div><p>
This is a great opportunity for someone looking to work in a<b> fast-paced </b>and <b>changing environment</b>, who <b>likes to work autonomously</b>, <b>enjoys a challenge</b> and <b>wants to make an impact</b>!</p></div><p></p><div><p>
To foster a collaborative environment that thrives on face-to-face interaction and teamwork, you will need to travel for one week each quarter to our team events (in London/Warsaw/Prishtina).</p></div><div><div><p><b><br>
What you will be doing</b></p><div><div><div><p>
Collaborate closely with Product, Design, Frontend, Infrastructure, and Mobile engineers to take features from discovery to rollout and beyond.</p></div><div><p>
Be responsible for features from discovery to observability: technical design, implementation, testing, and rollout.</p></div><div><p>
Design, build, and maintain efficient, scalable, and reliable Ruby/Elixir code.</p></div><div><p>
Work with a polyglot stack (Ruby, Elixir, GraphQL, TypeScript, gRPC) and modern messaging systems (Kafka).</p></div><div><p>
Operate within a Kubernetes-driven environment as we continue moving to a microservice architecture.</p></div><div><p>
Embrace Domain-Driven Design to build high-quality, impactful products from inception to delivery.</p></div></div></div></div></div><p></p><div><div><p><b>
What we are looking for</b></p><div><div><div><ul><li><p><b>
AI-Augmented Workflow:</b><b> </b>You have deep experience building and interacting with AI agents, using them to amplify your output to 5x that of manual coding. You can integrate agents into our workflow while strictly adhering to our architecture and security standards, taking full accountability for ensuring all generated code meets the quality expectations of a Senior Engineer.</p></li><li><p>
Experience building and maintaining globally distributed systems.</p></li><li><p>
Knowledge of event-driven architectures (Kafka).</p></li><li><p>
5+ years of experience in product engineering, developer tools, or infrastructure at scale.</p></li><li><p>
A pragmatic generalist who thrives on learning new frameworks and tackling complex challenges.</p></li><li><p>
Familiarity with languages such as Elixir, Ruby, or TypeScript is a plus.</p></li></ul></div></div></div></div></div><p></p><div><div><p><b>
Why Join Fresha?</b></p><div><div><div><ul><li><p><b>
Real Impact:</b> Directly influence our product and architecture in a rapidly growing global business.</p></li><li><p><b>
Cutting-Edge Tech:</b> Work with modern technologies and contribute to a significant migration to microservices.</p></li><li><p><b>
Dynamic Culture:</b> Be part of a team that encourages autonomy and innovation.</p></li></ul><p></p><div><p><b>
Don't meet every requirement? We value passion and potential. Apply today and let's grow together!</b></p></div></div></div></div></div></div><p></p><div><div><p><b>
Interview Process</b></p><div><div><div><ul><li><p><b>
Screen Stage</b><b> </b>- Video-call with a member from the Talent Team (45-60min)</p></li><li><p><b>
1st Stage</b> - Technical video/In-person interview with the team (90min)</p></li><li><p><b>
2nd Stage</b> - Technical Video/In-person interview with Team (up to 2 hours)</p></li><li><p><b>
Final Stage -</b><b> </b>Video interview with Head of Engineering / VP of Engineering (60min)</p></li></ul><p></p><div><p><i>
We aim to finalise the entire interview process and deliver feedback within 4 weeks.</i></p></div><p></p><div><p>
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe</p></div></div></div></div></div></div><p></p><div><div><p><b>
Inclusive workforce</b></p><p>
At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.</p></div><p></p><div><p>
We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.</p></div><p></p><div><p>
We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p></div><p></p><div><p>
If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.</p></div></div><div><div><p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us</p></div></div></div>

Senior Backend Engineer (London)

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.<br>
</li>
<li>5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.<br>
</li>
<li>Experience with Python, SQL, and statistical modeling.</li>
<li>Experience working with generative AI agents.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.<br>
</li>
<li>Experience in software development and source control methodologies.</li>
<li>Experience working with cloud computing or distributed computing environments.</li>
<li>Demonstrated ability to build investigative tools and data pipelines for infrastructure integration.</li>
<li>Proven track record of influencing engineering priorities and roadmaps.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
The Reliability Analytics Team is on a mission to improve decisions and systems in Platform Reliability Engineering (PRE) through data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers.<p>
In this role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on Google Cloud Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues.</p>
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure.</li>
<li>Apply data science to improve Google Cloud Platform reliability in partnership with the Platform Reliability Engineering (PRE) organization, focusing on change supervision and rollouts.</li>
<li>Collaborate closely with engineering and product teams to build and improve reliability tools according to engineering priorities.</li>
<li>Gain deep knowledge of relevant engineering infrastructure and data assets to influence engineering roadmaps and priorities.</li>
<li>Contribute to team-wide learning forums and broader data science initiatives.</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 Data Scientist, Research, Reliability Analytics

<div><h4 class="jobSectionHeader"><b>The AI-powered OS for beauty, wellness and self-care</b></h4><p><b><br>
About Fresha</b><br>
<br>
Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.<br>
<br>
Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.<br>
<br>
The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.</p><div><p>
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.</p></div><p></p><div><p>
Fresha&rsquo;s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.</p></div><p></p><div><p>
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.</p></div><p></p><div><p><b>
Role overview</b></p></div><p></p><div><p>
Fresha is entering its next phase of global scale, and the Platform team plays a vital role in making that growth fast, safe, and sustainable.</p></div><p></p><div><p>
As a Senior Platform Engineer, you will take end-to-end ownership of how our platform and services are built, deployed, and operated. Your focus is clear: remove friction for engineers, reduce operational risk, and ensure the platform scales alongside the business.</p></div><p></p><div><p>
Your mission is to ensure engineers always have the right tools, patterns, and infrastructure so they can deliver faster, safer, and with confidence.</p></div><p></p><div><p>
We care deeply about customer impact, even when the work is internal &mdash; platform improvements ultimately exist to help Fresha deliver better experiences to customers.</p></div><p></p><div><p>
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from <b>our dog-friendly office</b> 4 days per week, with the option to work from home on Wednesday. London office address: The Bower, The Tower, 207 Old St, London EC1V 9NR</p></div><div><div><h3 class="jobSectionHeader"><b>
Our Tech Stack:</b></h3><div><div><ul><li><p>
Docker</p></li><li><p>
AWS EKS</p></li><li><p>
Kafka / AutoMQ for asynchronous messaging</p></li><li><p>
Elixir &amp; Ruby for core services</p></li><li><p>
gRPC for inter-service communication</p></li><li><p>
GraphQL for API ingress</p></li><li><p>
Next.js / TypeScript for frontend</p></li><li><p>
PostgreSQL (RDS) for persistent storage</p></li><li><p>
GitHub Actions (primary CI), with Jenkins &amp; Argo Workflows for legacy pipelines</p></li><li><p>
Redis for key/value storage</p></li><li><p>
Terraform for infrastructure as code</p></li><li><p>
Python and GoLang for our Platform tools</p></li><li><p>
Datadog, Sentry for observability and incident response</p></li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
What you will be doing:</b></h3><div><div><div><p><b>
Platform Architecture &amp; Scale</b></p></div><ul><li><p>
Define and evolve infrastructure architecture to support multi-region deployments</p></li><li><p>
Design systems for resilience, scalability, and operational simplicity</p></li><li><p>
Explore and apply AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making where it creates clear value</p></li></ul><p></p><div><p><b>
Observability &amp; Operations</b></p></div><ul><li><p>
Extend monitoring and observability capabilities across services</p></li><li><p>
Make operational data easy to access, understand, and act on</p></li><li><p>
Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies and approaches</p></li><li><p>
Experiment with AI-assisted detection, triage, or automation to improve signal quality and reduce manual effort</p></li></ul><p></p><div><p><b>
Ownership &amp; Leadership</b></p></div><ul><li><p>
Scope, lead, and deliver platform initiatives autonomously</p></li><li><p>
Drive cross-team projects with clear outcomes and accountability</p></li></ul><p></p><div><p><b>
Enablement &amp; Knowledge Sharing</b></p></div><ul><li><p>
Raise the bar through documentation, runbooks, and internal knowledge sharing</p></li><li><p>
Help teams learn, align, and operate more effectively together</p></li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
We&rsquo;d love to hear from you if you:</b></h3><div><div><ul><li><p>
Have 5+ years of experience building, operating, and troubleshooting production-grade systems, with a strong focus on reliability, observability, and scalability</p></li><li><p>
Bring hands-on experience with AI/ML or LLM-based tools in a platform or operational context (e.g. automation, observability, developer experience, or incident response)</p></li><li><p>
Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systems</p></li><li><p>
Have experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure</p></li><li><p>
Are comfortable working close to the system with solid Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)</p></li><li><p>
Have practical experience designing or improving observability (metrics, logs, traces) using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie</p></li><li><p>
Take ownership of complex technical problems, form clear opinions backed by data, and drive solutions through implementation and collaboration</p></li><li><p>
Work effectively across teams, communicate technical concepts clearly, and apply systems thinking to make platforms easier to use, safer to operate, and simpler to scale</p></li><li><p>
Have experience with Claude code</p></li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Interview Process</b></h3><div><div><ul><li><p><b>
Screen Call</b> - Video call with a member from the Talent Team - 30 minutes</p></li><li><p><b>
1st Stage</b><b> </b>- Technical Video call/In-person interview with Head of Engineering - 60 minutes</p></li><li><p><b>
2nd Stage</b><b> </b>- Technical Video call/In-person interview with Engineers - Up to 2.5 hours (including a 30 minute preparation exercise)</p></li></ul><p></p><div><p><i>
We aim to finalise the entire interview process and deliver feedback within</i><i> </i><b><i>4 weeks.</i></b></p></div><p></p><ul><li><p>
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe</p></li></ul></div></div></div></div><div><div><p><b>
Inclusive workforce</b></p></div><p></p><div><p>
At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.</p></div><p></p><div><p>
We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.</p></div><p></p><div><p>
We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p></div><p></p><div><p>
If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.</p></div></div><div><div><p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div></div>

Senior Platform Engineer (Infrastructure)

Luxoft

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  What if you could spend your time building AI solutions that genuinely transform how professionals make decisions?
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  We're looking for a Senior Python AI Engineer to help build an innovative Agentic AI platform designed to turn vast amounts of sales and research content into meaningful investment insights. The goal is simple: reduce the time spent preparing for client conversations while dramatically improving the quality of information available to decision makers
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  Joining at an early stage of the programme, you'll have the opportunity to influence architecture, engineering standards, and technical direction while working alongside experienced architects, business stakeholders, and AI specialist
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  s.
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  This is much more than a traditional backend development role. You'll be working with some of the most exciting technologies in the market today, combining modern Python engineering with Large Language Models, AI agents, Retrieval-Augmented Generation (RAG), cloud-native services, and intelligent workflow automati
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  on.
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  You'll collaborate closely with business teams and product stakeholders to understand real-world challenges and transform them into elegant, scalable solutions. Your work will directly contribute to features that make AI-powered insights more accurate, accessible, and valuable for end us
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  The environment encourages engineers to think beyond implementation. You'll be trusted to contribute ideas, challenge assumptions, participate in architectural discussions, and help shape how the platform evolves. Whether you're improving retrieval quality, designing robust APIs, integrating LLMs, or refining cloud infrastructure, you'll see the direct impact of your
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  You'll join a collaborative team that values technical excellence, continuous improvement, and knowledge sharing. Engineers are encouraged to contribute to design reviews, improve development practices, identify opportunities for optimisation, and mentor others through strong technical leade
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  rship.
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  We're looking for someone with a strong foundation in Python development, experience delivering production-grade APIs, and a passion for building reliable software in cloud environments. Experience with AI agents, vector databases, RAG architectures, and modern LLM platforms will enable you to make an immediate
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  impact.
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  You'll also have the opportunity to deepen your expertise across advanced AI engineering disciplines, including prompt engineering, AI observability, retrieval strategies, model evaluation, cloud-native architectures, and intelligent workflow orches
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  tration.
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  In return, you'll join a high-profile initiative where innovation is encouraged, technical opinions are valued, and engineers are empowered to solve meaningful business problems using the latest developments in Generative AI. If you're excited about combining strong software engineering principles with next-generation AI capabilities, we'd love to hear
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Python Developer - Agentic AI & Cloud Platforms

Orbital

<div><p>Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing.</p><p>
Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products.</p><p>
We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing.</p><p>
Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn.</p><h2 class="jobSectionHeader"><b>
Role Overview
</b></h2><p>Orbital's AI software platform, CurieOS, is used by scientists and engineers to design and build products serving critical industries. Powering this software are our world leading AI models in advanced materials, hardware engineering and simulation.</p><p>
As Forward Deployed Engineering Lead at Orbital you will build and lead the Forward Deployed Engineering function, owning its technical standards, delivery model and team. You are an engineering leader who builds alongside customers, not a delivery leader who manages engineers. You will deliver complex deployments hands-on while hiring and developing the team that scales this capability across Orbital's growing customer base.</p><p>
First and foremost, we want to work with someone with a love of craftsmanship, continual learning and building systems that scale.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><p><b>
Deliver deployments hands-on, across the breadth of industrial R&amp;D</b></p><ul><li><p>
Drive customer adoption so CurieOS becomes how their scientists and engineers work day-to-day</p></li><li><p>
Deliver complex customer deployments hands-on, writing production code, designing architectures, building integrations and debugging issues across CurieOS and customer systems</p></li><li><p>
Own the technical quality of deployments from prototype through production, including reliability, maintainability and operational performance</p></li><li><p>
Design and build systems that connect heterogeneous software, data and physical infrastructure, from simulation campaigns and digital twins to lab instruments, test rigs and CAD/PLM systems</p></li><li><p>
Develop reusable integration patterns that allow CurieOS to operate reliably across complex customer environments</p></li></ul><p><b>
Own delivery end-to-end</b></p><ul><li><p>
Embed with customer teams to understand ambiguous, high-value R&amp;D problems, challenge assumptions and identify where CurieOS can deliver meaningful impact</p></li><li><p>
Translate those problems into a technical approach, milestones and acceptance criteria, making pragmatic architecture and scope trade-offs as you learn</p></li><li><p>
Own the engagement from initial technical discovery through implementation, production deployment and adoption</p></li><li><p>
Set KPIs per engagement (screening throughput, design-cycle reduction, experiments avoided), measure pre/post and report outcomes to executive sponsors</p></li></ul><p><b>
Build and lead the team</b></p><ul><li><p>
Build and lead the Forward Deployed Engineering function, owning its technical standards, engineering practices and delivery model</p></li><li><p>
Hire, develop and manage exceptional Forward Deployed Engineers across diverse scientific and engineering domains</p></li><li><p>
Set the technical bar through code and architecture review, and act as the escalation point for the most difficult technical decisions and production issues</p></li><li><p>
Staff engagements based on technical complexity and individual strengths, while developing engineers into increasingly independent technical leaders</p></li><li><p>
Codify successful approaches into reusable architectures, tooling and playbooks so the team becomes more effective as it scales</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For
</b></h2><ul><li><p>Significant experience in enterprise software technical delivery or forward deployed engineering roles, you have led complex deployments and written production code alongside customers</p></li><li><p>
Experience building a forward deployed engineering or solutions function, hiring the team, setting the standards and defining the delivery model</p></li><li><p>
The ability to move fluidly between strategy conversations with R&amp;D leadership and debugging sessions with engineers</p></li><li><p>
A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users</p></li><li><p>
Strong software engineering fundamentals, you still build, and your technical judgement is respected by the engineers you lead</p></li><li><p>
A genuine interest in building software that enables breakthrough scientific and industrial applications</p></li></ul><p><i>
Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></p></div>

Forward Deployed Engineering Lead

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