senior software engineer

ai engineer

data engineer

machine learning engineer

software engineer

automation software engineer

Software Engineer, AI Native Development

nPlan

<div>
 <strong>
  <strong>
   Ready to reshape one of the world&rsquo;s largest industries?
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  nPlan has built a unique AI platform that helps some of the largest construction companies understand, manage, and reduce the risk in some of the world&rsquo;s largest impactful construction projects. Join our Product Engineering team to design, implement, and ship high-impact AI solutions that help the world build better.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   The role: Backend Engineer
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  The backend team owns the systems that powers our platform. You will design, implement and build new capabilities that are performant, dependable and extensible. These capabilities range from basic CRUD and APIs to cutting-edge Agentic AI systems powered by a wide range of frontier AI models.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   What you&rsquo;ll do
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  Spin your skills on the backend:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build and deploy new backend capabilities: our customers are always asking for more, and especially more sophisticated AI systems. Help us stay on the cutting edge.
  </li>
  <li>
   Lead technical delivery: propose designs, evaluate trade-offs, drive changes from design to deployment. Don&rsquo;t be afraid to point out where we can and should be better.
  </li>
  <li>
   Improve operations: observability, incident response, performance, scaling, automation. We hate finding and dealing with bugs. You should too.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Our stack
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  We hire people who are generally language and stack-agnostic. We just ask that you are highly motivated to learn
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages: Python, Go, Typescript
  </li>
  <li>
   APIs: GQL, gRPC, REST
  </li>
  <li>
   Databases: Postgresql, Vector DBs, BigQuery, blob storage
  </li>
  <li>
   Async: Vertex AI, GCP pub/sub
  </li>
  <li>
   Deployment: GCP, Kubernetes, ArgoCD, Github Actions
  </li>
  <li>
   Operations: Prometheus, Grafana, Sentry
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What we&rsquo;re looking for
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Startup mentality: we are changing the world, and what is required can be ambiguous yet we need to deliver fast and reliably.
  </li>
  <li>
   Experience of production systems: at least 3 years of experience building scalable production systems. Experience using Kubernetes in a cloud environment.
  </li>
  <li>
   Solid system design fundamentals: you know how to design a reliable, testable and scalable system from scratch.
  </li>
  <li>
   Strong SQL: data models, indexing, production-level migrations, performance scaling.
  </li>
  <li>
   A testing mindset: we always strive to be better at this so would be particularly keen who brings this to the team.
  </li>
  <li>
   Practical security awareness: you understand attack surfaces, common vulnerabilities. Ideal if you have experience of SOC or ISO accredited companies.
  </li>
  <li>
   Using the latest technologies to iterate fast: using coding agents and similar technologies to get stuff done fast.
  </li>
  <li>
   Strong code review habits: This skill is an important quality gate for pushing to production and is becoming even more so with the rise of coding agents.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You might be our person if you&hellip;
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Build reliable backend systems: You&rsquo;ve designed, shipped, and operated production services and APIs that real users depend on.
  </li>
  <li>
   Think in distributed systems: You&rsquo;re comfortable with queues, retries, idempotency, consistency trade-offs, and failure modes.
  </li>
  <li>
   Care about operability: You set a high bar for observability (logs/metrics/traces), on-call readiness, incident response, and performance tuning.
  </li>
  <li>
   Model and work with data: You write strong SQL and understand indexing, migrations, data modelling, and referential integrity.
  </li>
  <li>
   Code with confidence: You build clean, well-tested services (unit/integration tests) and can work effectively in a modern backend stack (e.g., Python, Go, Typescript).
  </li>
  <li>
   Thrive in autonomy: You enjoy taking ambiguous problems, clarifying requirements, and driving work to a shippable solution.
  </li>
  <li>
   Remember to mention &ldquo;crane&rdquo; in your application &mdash; we&rsquo;re looking for people who pay attention to details.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What working at nPlan will be like
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  We are still a relatively small team, so there is plenty of opportunity for a high degree of ownership and growth over different areas of the product, and you will be directly exposed to all areas of the business.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Remote working, with minimal requirements to come to the Shoreditch office 1-2 times per month, and attend quarterly company get-togethers
  </li>
  <li>
   Your voice will always be heard. What you do or say counts, not who you are or where you're from. We are a cross-disciplinary team, and come from all backgrounds and cultures.
  </li>
  <li>
   We have three core values that underlie everything we do:
  </li>
  <ul>
   <li>
    Learn from Everything
   </li>
   <li>
    Be Radically Truthful
   </li>
   <li>
    Aim High, Run Fast.
   </li>
   <li>
    These enable us to create a collaborative, inclusive environment where we can move effectively and efficiently to implement the best solutions.
   </li>
  </ul>
  <li>
   Fantastic benefits package for Health &amp; Wellbeing, Learning &amp; Development, family leave, and more.
  </li>
  <li>
   Having time to yourself and a private life is important. We offer a very flexible work environment and a generous holiday policy.
  </li>
 </ul>
 <strong>
  We are working hard to create a workplace that is inclusive to everyone, no matter their background, or where they are in life. We believe that only a truly diverse place can create great products that serve a wide audience and improve the world.
  <br/>
  <br/>
 </strong>
 <strong>
  We believe in equality of opportunities and that's why we make sure that these ideas are reflected in our values, and that we really apply these in all aspects of our company culture.
  <br/>
  <br/>
 </strong>
 <strong>
  If you have a need for any adjustments during our interview process, let us know and we will do our best to accommodate them.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Hiring process
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Intro call (Recruiter) (15min)
  </li>
  <li>
   Skill Set interview (Engineering Manager) (15-30min)
  </li>
  <li>
   Practical exercise (Engineering Manager &amp; Backend Engineer) (60 min)
  </li>
  <li>
   Values Alignment call (60min)
  </li>
  <li>
   On-site (half a day, can be remote)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Apply
  <br/>
  <br/>
 </strong>
 <strong>
  If this sounds like you, we&rsquo;d love to hear from you!
 </strong>
</div>


Software Engineer (AI)

Ventula Consulting

<div>
 <p>
  <strong>
   AI / ML Engineer - AI Startup - London - &pound;80k - &pound;120k
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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
 </p>
 <p>
  <br/>
 </p>
 <p>
  To be suitable for this role you will require the below:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Requirements
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is a permanent role, based in London, with 3-4 days a week in the company's office
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role offers a salary between &pound;80,000 - &pound;120,000
 </p>
</div>


AI / ML Engineer

NewDay

<p></p><div><p>As a Platform Engineer at NewDay , you'll create the tooling, automation, and cloud platforms that make software delivery seamless across Azure and AWS. Rather than building customer-facing applications, you'll be building the developer experience creating scalable platforms, simplifying deployments, and enabling hundreds of engineers to deliver software faster, safer, and more efficiently. If you're a software engineer who enjoys solving engineering challenges through automation, cloud technologies, and modern platform engineering, we'd love to hear from you.
</p><p></p><p><b>How you'll contribute
</b></p><ul><li><p>Build and evolve the internal developer platform, creating tools and services that enable engineering teams to develop, test, deploy, and operate applications with ease.
</p></li><li><p>Develop deployment tooling and automation using modern software engineering practices, helping simplify and accelerate software delivery across Azure and AWS.
</p></li><li><p>Identify opportunities to remove friction, improve self-service capabilities, and enable developers to move faster.
</p></li><li><p>Design and implement cloud-native solutions using containers, Infrastructure as Code, and CI/CD pipelines to improve platform scalability, resilience, and security.
</p></li><li><p>Collaborate closely with Platform Engineering, SRE, and development teams to introduce new technologies, establish engineering standards, and continuously improve our platform capabilities.
</p></li></ul><p></p><p><b>We're looking for these essential skills
</b></p><ul><li><p>Hands-on experience with Microsoft Azure and/or AWS, including core cloud services such as compute, storage, networking, databases, identity, and PaaS offerings (e.g. Azure App Services, Azure Functions, AWS Lambda, and equivalents).
</p></li><li><p>software engineering background with TypeScript/Node.js (or .NET/C#), with experience building internal platforms, deployment tooling, and automation that improves the developer experience.
</p></li><li><p>Proven experience implementing Infrastructure as Code and automated CI/CD pipelines using tools such as Terraform or ARM templates, GitHub Actions, TeamCity, Octopus Deploy, or equivalent technologies.
</p></li><li><p>Experience with containerisation and cloud-native technologies, including Docker and Kubernetes, with an understanding of scalable, resilient, and highly available platform architectures across Azure and/or AWS.
</p></li><li><p>Strong knowledge of DevOps and platform engineering practices, including Agile delivery, GitHub and Jira, networking, authentication and authorisation, digital certificates, cloud security, and supporting engineering teams through effective platform tooling.
</p></li></ul><p></p><p><b>It's a plus if you also have these skills
</b></p><ul><li><p>Experience building and operating Kubernetes platforms in production environments.
</p></li><li><p>Knowledge of Infrastructure as Code using Terraform, ARM, or Bicep to provision and manage cloud infrastructure.
</p></li><li><p>Experience creating and maintaining CI/CD pipelines using tools such as GitHub Actions, Octopus Deploy, or similar technologies.
</p></li><li><p>Familiarity with monitoring and observability tools such as Azure Application Insights, Log Analytics, or Grafana.
</p></li><li><p>Experience promoting DevOps best practices, contributing to open-source tooling, or helping engineering teams adopt modern platform engineering approaches.
</p></li></ul><p></p><p>At NewDay, we value all types of diversity. We&rsquo;re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don&rsquo;t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.
</p><p></p><p>Tell us if you need accommodations: We&rsquo;ll put reasonable adjustments in place to support you.
</p><p></p><p>We work with Textio to make our job design and hiring inclusive.
</p><p></p>Permanent</div>

Platform Engineer

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Requisition ID #</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD99665<p></p><div><div><p><b>
Position Overview</b></p><p><b>
Senior QA Automation Engineer &ndash; AI Applications</b><b> UK</b></p></div><p></p><div><p><br>
We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.</p></div><p></p><div><p><b><br>
Responsibilities</b></p></div><div><ul><li><p>
Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features</p></li></ul></div><div><ul><li><p>
Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage</p></li></ul></div><div><ul><li><p>
Create and maintain test harnesses for AI services, applications, and APIs</p></li></ul></div><div><ul><li><p>
Perform API testing for AI services and backend systems</p></li></ul></div><div><ul><li><p>
Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features</p></li></ul></div><div><ul><li><p>
Test AI/ML applications and machine learning models from a product and user perspective</p></li></ul></div><div><ul><li><p>
Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior</p></li></ul></div><div><ul><li><p>
Define structured rubrics that translate qualitative findings into measurable evaluation gates</p></li></ul></div><div><ul><li><p>
Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing</p></li></ul></div><div><ul><li><p>
Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications</p></li></ul></div><div><ul><li><p>
Contribute to multi-team projects and codebases, ensuring code quality and consistency</p></li></ul></div><div><ul><li><p>
Participate in code reviews and provide constructive feedback to peers</p></li></ul></div><div><ul><li><p>
Document and present findings and ideas across the company</p></li></ul></div><p></p><div><p><b><br>
Minimum Qualifications</b></p></div></div><div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience</p></li></ul></div><div><ul><li><p>
5+ years of professional experience in software quality assurance, test automation, or software engineering</p></li></ul></div><div><ul><li><p>
Strong programming skills in Python, with experience in test automation</p></li></ul></div><div><ul><li><p>
Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality</p></li></ul></div><div><ul><li><p>
Experience with CI/CD tools and processes</p></li></ul></div><div><ul><li><p>
Familiarity with popular CAD environments and tooling</p></li></ul></div><div><ul><li><p>
Proficient in automation and UAT test suites/frameworks</p></li><li><p>
Experience designing QA frameworks or platforms used by multiple teams</p></li></ul></div><div><ul><li><p>
Excellent problem-solving skills and attention to detail</p></li></ul></div><div><ul><li><p>
Strong communication and collaboration skills</p></li></ul></div><div><ul><li><p>
Understanding of software architecture and design patterns</p></li></ul></div><div><ul><li><p>
Ability to work in an Agile development environment</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience testing AI/ML applications or validating machine learning models</p></li></ul></div><div><ul><li><p>
Experience with data validation tooling (e.g., Great Expectations) or labeling workflows</p></li></ul></div><div><ul><li><p>
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)</p></li></ul></div><div><ul><li><p>
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)</p></li></ul></div><div><ul><li><p>
Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)</p></li></ul></div><div><ul><li><p>
Knowledge of ML evaluation methods, metrics, and benchmarking</p></li></ul></div><div><ul><li><p>
Passion for learning new technologies and improving existing systems</p></li></ul></div></div><div><div><ul><li><p>
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)</p></li></ul></div><div><ul><li><p>
Experience testing AI/ML services in production environments</p></li></ul></div><div><ul><li><p>
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights &amp; Biases)</p></li></ul></div><p></p><div><p><b>
The Ideal Candidate</b></p></div><div><ul><li><p>
You demonstrate initiative to provide solutions and to learn and develop new technologies</p></li></ul></div><div><ul><li><p>
Comfortable building QA systems from scratch and writing maintainable automation</p></li></ul></div><div><ul><li><p>
You enjoy learning and collaborating across global locations</p></li></ul></div><div><ul><li><p>
You are comfortable working in newly forming ambiguous areas</p></li></ul></div><div><ul><li><p>
You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others</p></li></ul></div><div><ul><li><p>
You effectively leverage AI-powered tools to improve testing workflows and engineering productivity</p></li></ul></div><div><ul><li><p>
You can communicate well with others</p></li></ul></div><p></p><div><p><br>
 #LI-JK3</p></div></div><p></p><p><b><br>
Learn More</b></p><p></p><p><b>
About Autodesk</b></p><p>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</p><p></p><p>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</p><p></p><p>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</p><p></p><p><b>
Salary transparency</b></p>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<p><b><br>
Belonging</b><br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging</p><p></p><p><b>
Are you an existing contractor or consultant with Autodesk?
</b></p><p>Please search for open jobs and apply internally (not on this external site).</p></div>

Senior QA Automation Engineer – AI Applications UK

Signify Technology

<div>
 <strong>
  Job Title:
 </strong>
 Platform Engineer
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : London (Hybrid)
 <br/>
 <br/>
 <strong>
  Employment Type
 </strong>
 : Full-time
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 Experience with AI/ML infrastructure or supporting data science workflows
 <br/>
 <br/>
 Exposure to MLOps tooling or machine learning model deployment
</div>


Playtech

<div>
 <p>
  <strong>
   About Playtech
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready to level up your career?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is not about theory - it&rsquo;s about building AI that works in the real world!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Influential Mission: You Will&hellip;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.
  </li>
  <li>
   Create reusable patterns, templates, and best practices for AI adoption across Playtech.
  </li>
  <li>
   Design agentic workflows that automate tasks, use APIs, and support complex processes.
  </li>
  <li>
   Stay current with AI trends and turn insights into demos, workshops, and recommendations.
  </li>
  <li>
   Partner with teams to turn ideas into real solutions and support AI adoption hands-on.
  </li>
  <li>
   Drive efficiency and productivity through AI across multiple business units.
  </li>
  <li>
   Improve solution quality, cost, and performance through better design and optimisation.
  </li>
  <li>
   Identify and mitigate AI risks, ensuring safe and responsible use.
  </li>
  <li>
   Contribute to AI standards, governance, and best practices.
  </li>
  <li>
   Share knowledge, mentor others, and raise the overall AI engineering bar.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Components for Success: You&hellip;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.
  </li>
  <li>
   Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.
  </li>
  <li>
   Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.
  </li>
  <li>
   Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.
  </li>
  <li>
   Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.
  </li>
  <li>
   Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.
  </li>
  <li>
   Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You&rsquo;ll Get Extra Points for&hellip;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)
  </li>
  <li>
   AI evaluation or AI security experience.
  </li>
  <li>
   Agentic development experience (MCP, multi-agent systems).
  </li>
  <li>
   RAG implementation experience.
  </li>
  <li>
   Cloud DevOps or Terraform experience.
  </li>
  <li>
   Prior experience in iGaming, fintech, or another regulated industry.
  </li>
  <li>
   AI governance experience or interest.
  </li>
  <li>
   Coding experience, especially in Python
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Thrive in a culture that values&hellip;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Ownership and accountability where you take responsibility for delivery, operations, and outcomes.
  </li>
  <li>
   Proactive collaboration across the business units and teams globally.
  </li>
  <li>
   Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.
  </li>
  <li>
   Versatile and exciting challenges that keep you going and growing.
  </li>
  <li>
   Hybrid working style &ndash; work in our modern and comfortable office as well as work from home office.
  </li>
  <li>
   Neat benefits &amp; bonus package.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Information
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   CENTRAL AI TEAM
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The team is Playtech&rsquo;s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.
 </p>
</div>


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