algorithm design engineer

<div>
 <p>
  <strong>
   Who are we?👋
  </strong>
 </p>
 <p>
  Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs.
  <br/>
 </p>
 <p>
  Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
  <br/>
 </p>
 <p>
  Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
  <br/>
 </p>
 <p>
  Ki's teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
  <br/>
 </p>
 <p>
  <strong>
   Where you come in?
  </strong>
 </p>
 <p>
  We're looking for algorithm engineers to join our Algorithm Engineering team. You will work at the intersection of underwriting and algorithm development, developing machine learning enabled products that operate across over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance.
  <br/>
 </p>
 <p>
  You will help us better evaluate every single risk on its own merits, and on how it helps us build a profitable and stable portfolio, all in the space of under a minute. From large scale geospatial analysis to manage our exposure to natural catastrophes to research and development on low data volume machine learning approaches for classes of business with very few claims (like Terrorism insurance!). We operate at the point where the two very different worlds of technology and specialty insurance meet, and you will be part of both.
  <br/>
 </p>
 <p>
  We're a multi-disciplined team and pride ourselves on being commercially focused, bringing together deep expertise in specialty insurance and scalable machine learning product development. Our squads focus on delivering high-impact features and we favour a highly iterative, analytical approach. We invest time in research and development, internally and with academic institutions.
  <br/>
 </p>
 <p>
  We focus on the commercial outcomes that our algorithm achieves and we like (who doesn't?) well tested and maintainable code. Our algorithm is built in Python and our infrastructure is entirely cloud native and we maintain our infrastructure as code.
  <br/>
 </p>
 <p>
  <strong>
   What you will be doing: 🖋️
  </strong>
 </p>
 <ul>
  <li>
   Design, develop and maintain new features for Ki's underwriting algorithm for risk assessment and portfolio management
  </li>
  <li>
   Improve the robustness of the Ki algorithm by digitising the governance and control of our underwriting, actuarial and software processes, reducing our time to live
  </li>
  <li>
   Ensure the Ki algorithm is always online and available to generate line sizes
  </li>
  <li>
   Design and implement enabling services that makes the Ki algorithm more efficient, flexible and scalable
  </li>
  <li>
   Exercise software engineering best practice to ensure our algorithm product is built in line with Ki's broader engineering standards
  </li>
  <li>
   Support the integration of the Ki algorithm into the other core components of the broader platform
  </li>
  <li>
   Guide junior members to help them improve their engineering skills and understanding of the insurance market
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understanding of Machine Learning approaches and algorithms
  </li>
  <li>
   Understanding of the control and management of data products and machine learning algorithms
  </li>
  <li>
   Experience with python programming and various software design patterns
  </li>
  <li>
   Direct experience with at least one cloud provider required
  </li>
  <li>
   Experience working in regulated industry, especially financial services and insurance would be a plus
  </li>
  <li>
   Commercially minded, knowledge of the insurance market would be ideal or an aptitude/interest to learn more about the industry and how it operates
  </li>
  <li>
   Experience using project management and workflow tools (e.g. Jira)
  </li>
  <li>
   Experience with CI/CD tools such as GitHub Actions, Circle CI, Jenkins
  </li>
 </ul>
</div>


Algorithm Engineer

<div><div>Netherlands Data Science Eindhoven Hybrid
</div><p>Build cutting‑edge inference algorithms at the intersection of physics &amp; AI. Model uncertainty, design Bayesian methods, and enable real‑time reasoning in complex high‑tech systems.</p><p></p><div><div><br>
<div></div>
</div></div><div><div><div>About The Member Company
<p>We are a global high-tech consultancy company with a team of entrepreneurial engineers, scientists, and digital experts from around the world. Together we form a fast-growing and proud community. We offer consultancy services to high-profile clients globally in diverse service areas, such as:</p>
<ul><li>Technology &amp; Engineering</li>
<li>Energy &amp; Renewables</li>
<li>Life sciences &amp; Pharma</li>
<li>Digital &amp; IT</li>
</ul></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>About this vacancy</b></h2>
<p>As an Inference Algorithm Engineer, you develop the algorithms and mathematical frameworks that enable high‑tech systems to extract structure, estimate states and reason under uncertainty in high‑dimensional environments. You work where applied physics, probabilistic modelling, numerical optimisation and machine learning intersect.</p><p></p><p><br>
Your responsibilities:
</p><ul><li>Develop physics‑informed inference algorithms grounded in probability theory, system dynamics and measurement physics.</li><li>
Build mathematical models describing complex physical systems, including noise processes, interactions and uncertainty mechanisms.</li><li>
Design Bayesian estimation pipelines such as Kalman filtering variants, particle filters, variational inference or MCMC methods.</li><li>
Prototype, validate and benchmark algorithms through simulation and experimental setups.</li><li>
Translate theoretical models into efficient, scalable and real‑time capable implementations.</li><li>
Collaborate with sensing specialists, physicists, embedded software engineers, control experts and system architects to integrate inference algorithms end‑to‑end.</li><li>
Perform sensitivity studies, robustness analysis and uncertainty propagation assessments across physical models.</li><li>
Explore new physics‑informed inference methodologies and identify opportunities for performance breakthroughs.</li><li>
Present clear, well‑founded algorithmic decisions and guide multidisciplinary teams in selecting the right inference approach.</li></ul>
</div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>What we expect from you</b></h2>
<p>As an Inference Algorithm Engineer, you develop the algorithms and mathematical frameworks that enable high‑tech systems to extract structure, estimate states and reason under uncertainty in high‑dimensional environments. You work where applied physics, probabilistic modelling, numerical optimisation and machine learning intersect.</p><p></p><p><br>
Your responsibilities:
</p><ul><li>Develop physics‑informed inference algorithms grounded in probability theory, system dynamics and measurement physics.</li><li>
Build mathematical models describing complex physical systems, including noise processes, interactions and uncertainty mechanisms.</li><li>
Design Bayesian estimation pipelines such as Kalman filtering variants, particle filters, variational inference or MCMC methods.</li><li>
Prototype, validate and benchmark algorithms through simulation and experimental setups.</li><li>
Translate theoretical models into efficient, scalable and real‑time capable implementations.</li><li>
Collaborate with sensing specialists, physicists, embedded software engineers, control experts and system architects to integrate inference algorithms end‑to‑end.</li><li>
Perform sensitivity studies, robustness analysis and uncertainty propagation assessments across physical models.</li><li>
Explore new physics‑informed inference methodologies and identify opportunities for performance breakthroughs.</li><li>
Present clear, well‑founded algorithmic decisions and guide multidisciplinary teams in selecting the right inference approach.</li></ul>
</div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>What you can expect from us</b></h2>
<p>TMC is an international high-tech consultancy company that brings expertise to their clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster changing technological world. At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career. As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.</p>
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>The 5 basic principles of employeneurship</b></h2>
<p>As pioneers in employeneurship, we have redefined the traditional work model. We offer our employeneurs the opportunity to combine the security of a permanent contract with their passion for entrepreneurship.</p>
</div><div><div><div><div><p>A long-term working relationship
</p></div><div><div><p>Enjoy the security of a long-term contract and a stable source of income while getting the opportunity to work at diverse projects.</p>
</div></div></div><div><div><p>Individual profit sharing
</p></div><div><div><p>Full transparency. That&rsquo;s it. For each of your projects, you know your hourly rate, your costs, and your individual performance-based profit sharing, all in order to stimulate your inner entrepreneur.</p>
</div></div></div><div><div><p>Business cells
</p></div><div><div><p>Our employeneurs are grouped in business cells based on their technical expertise. They are small, focused and function as high-grade knowledge networks. And as buzzing communities of close colleagues.</p>
</div></div></div><div><div><p>YOUniversity
</p></div><div><div><p>Every employeneur drives their own career. Together, we make a plan for personal and professional growth. Receive personal coaching and an extensive training budget to keep developing yourself and deliver outperformance at our clients.</p>
</div></div></div><div><div><p>The Entrepreneurial Lab
</p></div><div><div><p>Work on your technical ambitions within our Entrepreneurial Lab (TEL). Here, you are given the space to explore ideas, experiment, and develop them into tangible solutions. In multidisciplinary teams, you collaborate with colleagues from different fields, bringing in new perspectives and accelerating innovation. The lab not only provides access to knowledge and resources, but also encourages ownership. This allows you to develop not only your technical expertise, but also your entrepreneurial skills, enabling you to actively contribute to solutions that truly make a difference.</p></div></div></div></div></div></div></div></div>

Inference Algorithm Engineer

Tata Consultancy Services

<div>
 <br/>
 <p>
  <em>
   If you need support in completing the application or if you require a different format of this document, please get in touch with
  </em>
  <strong>
   <em>
    at UKI.recruitment@tcs.com
   </em>
  </strong>
  <em>
   or call
  </em>
  <strong>
   <em>
    TCS London Office number 02031552100 / +44 204 520 2575
   </em>
  </strong>
  <em>
   with the subject line: &ldquo;Application Support Request&rdquo;.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Job Title:
  </strong>
  GenAI Adoption &ndash; Platform Engineer
 </p>
 <p>
  <strong>
   Job Type:
  </strong>
  Permanent
 </p>
 <p>
  <strong>
   Location:
  </strong>
  London
 </p>
 <p>
  <strong>
   Hours:
  </strong>
  40 hours per week &ndash; Full time
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Ready to apply your
  <strong>
   data engineering expertise to build reliable and scalable pipelines for enterprise platforms?
  </strong>
 </p>
 <p>
  We have an exciting opportunity for you &mdash;
  <strong>
   GenAI Adoption &ndash; Platform Engineer!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Careers at TCS: It means more
  </strong>
 </p>
 <p>
  TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
 </p>
 <ul>
  <li>
   Gain access to continuous learning opportunities in emerging AI technologies.
  </li>
  <li>
   Be part of a collaborative engineering team delivering cutting-edge solutions.
  </li>
  <li>
   Support major organisations as they transform their data and AI capabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  As a
  <strong>
   GenAI Adoption &ndash; Platform Engineer
  </strong>
  , you will be responsible for enabling enterprise adoption of Generative AI by designing and building scalable, cloud-native platforms for AI workloads. You will focus on reliability, automation, and multi-tenant architectures, while integrating advanced AI capabilities into enterprise systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and deploy AI-powered applications using large language models and generative AI technologies.
  </li>
  <li>
   Develop and integrate solutions such as chatbots, copilots, and content generation platforms.
  </li>
  <li>
   Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.
  </li>
  <li>
   Perform prompt engineering, optimisation, and evaluation of model outputs.
  </li>
  <li>
   Integrate AI APIs into enterprise applications and workflows.
  </li>
  <li>
   Deploy and manage AI applications across cloud platforms such as AWS, Azure, or GCP.
  </li>
  <li>
   Ensure platform scalability, reliability, and performance across multiple environments.
  </li>
  <li>
   Collaborate with engineering and business teams to deliver AI-driven solutions aligned with organisational needs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Profile
  </strong>
 </p>
 <p>
  Essential skills/knowledge/experience:
 </p>
 <ul>
  <li>
   Strong programming skills in Python (Karat assessment clearance required).
  </li>
  <li>
   Experience in Generative AI application development using frameworks such as LangChain or LangGraph.
  </li>
  <li>
   Hands-on experience building and deploying RAG-based solutions.
  </li>
  <li>
   Experience working with cloud platforms such as AWS, Azure, or GCP.
  </li>
  <li>
   Strong understanding of cloud-native architecture and distributed systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable skills/knowledge/experience:
  </strong>
 </p>
 <ul>
  <li>
   Broader exposure to multi-cloud environments across AWS, Azure, and GCP.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Rewards &amp; Benefits
  </strong>
 </p>
 <p>
  TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
 </p>
 <p>
  We offer health &amp; wellness initiatives and sports events; we are the proud sponsor of the London Marathon.
 </p>
 <p>
  <strong>
   Diversity, Inclusion and Wellbeing
  </strong>
 </p>
 <p>
  Tata Consultancy Services UK&amp;I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.
 </p>
 <p>
  We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.
 </p>
 <p>
  As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at
  <strong>
   UKI.recruitment@tcs.com
  </strong>
  if you would like to opt in.
 </p>
 <p>
  If you are an applicant who needs any adjustments to the application process or interview, please contact us
  <strong>
   at UKI.recruitment@tcs.com
  </strong>
  with the subject line: &ldquo;Adjustment Request&rdquo; or call
  <strong>
   TCS London Office 02031552100 / +44 204 520 2575
  </strong>
  to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Next Steps:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Application Process
  </strong>
 </p>
 <ol>
  <li>
   <strong>
    Online application:
   </strong>
   You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com
  </li>
  <li>
   <strong>
    Skill-Based discussion:
   </strong>
   This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter.
  </li>
  <li>
   <strong>
    Managerial discussion:
   </strong>
   This discussion will focus on behavioural aspects and person-organisation fit.
  </li>
  <li>
   <strong>
    HR Discussion
   </strong>
   : This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Beware of Fraudulent offers
  </strong>
 </p>
 <p>
  This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to
  <strong>
   UKI.recruitment@tcs.com
  </strong>
  to report any fraudulent activity.
 </p>
 <p>
  Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
 </p>
 <p>
  <strong>
   Join us and do more of what matters. Apply online now.
  </strong>
 </p>
 <p>
  <br/>
 </p>
</div>


Gen AI - Platform Engineer

Copperleaf Technologies Inc.

<p></p><div><div><div><div><h2 class="jobSectionHeader"><b>Company Description</b></h2></div><div><p>
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.</p><p>
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but also on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.</p><p>
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.</p><p>
By joining our team, you will have the opportunity to be part of a <b>global, diverse environment;</b> you will be joining a <b>winning team</b> with a <b>commitment to sustainability;</b> and a company where we get things done so that you can <b>make a positive impact</b> on the world.</p><p>
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can <b>#MakeYourMoment</b> so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.</p><p>
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2></div><div><p><b>
About the Role</b></p><p>
As a Forward Deployed AI Engineer, you&rsquo;ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You&rsquo;ll lead the design and deployment of intelligent agents across customer workflows&mdash;owning everything from discovery and prototyping to configuration, testing, and launch.</p><p>
This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer&rsquo;s needs&mdash;ensuring rapid value delivery and laying the foundation for long-term success.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows</li><li>
 Integrate IFS Loops platform with customer systems</li><li>
Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)</li><li>
Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption</li><li>
Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap</li><li>
Document technical decisions and hand off stable deployments to customer engineering or support teams</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p><b>
What We&rsquo;re Looking For</b></p><ul><li>
2&ndash;5 years of experience in a software engineering, solutions engineering, or ML deployment role</li><li>
Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)</li><li>
Familiarity with building LLM applications, RAG systems, or conversational AI workflows</li><li>
Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)</li><li>
Ability to translate business problems into technical solutions&mdash;and deliver them fast</li><li>
Strong interpersonal skills; you&rsquo;re just as comfortable on a whiteboard with a customer as you are in code</li><li>
Bias toward action, ownership, and continuous learning in dynamic environments</li></ul><p><b>
Nice to Have</b></p><ul><li>
Background in SaaS, customer experience, support operations, or manufacturing systems</li><li>
Experience deploying AI in mission-critical environments</li><li>
Prior work with enterprise AI platforms or multi-agent orchestration</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><div><p><b>
What We&rsquo;re Offering</b></p><ul><li>
Salary Range: List $150,000 to $170,000 annually + bonus</li><li>
Flexible paid time off, including sick and holiday</li><li>
 Medical, dental, &amp; vision insurance</li><li>
 401K with Company contribution</li><li>
 Flexible spending accounts</li><li>
 Life insurance and disability benefits</li><li>
 Tuition assistance</li><li>
 Community involvement and volunteering events</li></ul><p></p><p><br>
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs</p><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer</p></div></div></div><br>
<p></p>
<div><div><p>
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply</p></div></div></div>

Forward Deployed AI Engineer: IFS Loops

MASTER-WORKS

<div><p>Our subsidiary (Nabeh) is seeking an <b>AI Solution, Engineer</b> who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.</p><p></p><b>
Key Responsibilities:</b><ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul><p></p><p><b>
Job location: </b>HQ</p></div><p></p>

AI Solution, Engineer

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>
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  <strong>
   Ready to level up your career?
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  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.
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  This is not about theory - it&rsquo;s about building AI that works in the real world!
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  <strong>
   Job Description
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  <strong>
   Your Influential Mission: You Will&hellip;
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   Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.
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   Create reusable patterns, templates, and best practices for AI adoption across Playtech.
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   Design agentic workflows that automate tasks, use APIs, and support complex processes.
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   Stay current with AI trends and turn insights into demos, workshops, and recommendations.
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   Partner with teams to turn ideas into real solutions and support AI adoption hands-on.
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   Drive efficiency and productivity through AI across multiple business units.
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   Improve solution quality, cost, and performance through better design and optimisation.
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   Identify and mitigate AI risks, ensuring safe and responsible use.
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   Contribute to AI standards, governance, and best practices.
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   Share knowledge, mentor others, and raise the overall AI engineering bar.
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   Qualifications
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   Components for Success: You&hellip;
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   Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.
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   Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.
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   Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.
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   Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.
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   Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.
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   Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.
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   Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.
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   You&rsquo;ll Get Extra Points for&hellip;
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  <li>
   Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)
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   AI evaluation or AI security experience.
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   Agentic development experience (MCP, multi-agent systems).
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   RAG implementation experience.
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   Cloud DevOps or Terraform experience.
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   Prior experience in iGaming, fintech, or another regulated industry.
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   AI governance experience or interest.
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   Coding experience, especially in Python
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   Thrive in a culture that values&hellip;
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   Ownership and accountability where you take responsibility for delivery, operations, and outcomes.
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   Proactive collaboration across the business units and teams globally.
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   Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.
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   Versatile and exciting challenges that keep you going and growing.
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   Hybrid working style &ndash; work in our modern and comfortable office as well as work from home office.
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   Neat benefits &amp; bonus package.
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  <strong>
   Additional Information
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  <strong>
   CENTRAL AI TEAM
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  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.
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  <br/>
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  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>


AI Solution Engineer

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div><div></div><div><p><br>
We are looking for a QA Engineer who has strong capabilities in platform product testing, can understand complex backend service call flows, and is interested in AI-driven testing and end-to-end automation.</p>
<p>
This role will be responsible for functional testing of platform products, API testing, end-to-end test design, and exploring the application of AI in test case coverage and automated testing.</p>
<p>
Our product supports personalized experiences at scale, where different users may see different features, UI, and content in the app. Behind this are algorithm- and strategy-driven systems, while the frontend relies on dynamic UI rendering. Therefore, this role requires strong end-to-end testing capability, system-level thinking, and the ability to validate complex cross-functional scenarios.</p>
</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Own functional testing for platform products, including test planning, test design, execution, and quality assurance for releases.</li>
<li>Perform API testing and understand the overall service invocation flow, including upstream/downstream dependencies across long and complex backend chains.</li>
<li>Design and execute end-to-end test scenarios covering frontend, backend, strategy, and algorithm-driven interactions.</li>
<li>Validate personalized user experiences, ensuring correctness and consistency across different user segments, feature exposure, UI variations, and content delivery.</li>
<li>Build and improve test coverage, testing methodologies, and quality assurance processes for complex platform capabilities.</li>
<li>Explore and drive the adoption of AI in testing, including:<br>
<ul><li>AI-assisted test case generation and coverage improvement</li><li>AI-driven end-to-end automation testing</li><li>Intelligent approaches to improve testing efficiency in complex scenarios</li></ul></li>
<li>Work closely with Product, Engineering, Algorithm, and Strategy teams to identify issues, drive root cause analysis, and ensure quality closure.</li>
<li>Continuously improve testing approaches and propose innovative quality solutions for evolving business scenarios.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements
</b></h3><ul><li>Bachelor&rsquo;s degree or above in Computer Science, Software Engineering, Information Technology, or a related field.</li>
<li>Experience in QA / software testing, preferably with platform product testing experience.</li>
<li>Solid understanding of functional testing and API testing methodologies, with the ability to independently design and execute test cases.</li>
<li>Basic understanding of backend infrastructure and service interaction flows; able to understand the full calling process rather than testing isolated APIs only.</li>
<li>Strong end-to-end testing mindset, with the ability to validate scenarios involving frontend/backend interactions, dynamic configuration, strategy execution, and algorithm-driven logic.</li>
<li>Ability to understand the fundamentals of test automation and be familiar with common testing frameworks and automation concepts.</li>
<li>Familiarity with or strong interest in AI-driven testing, including the use of AI for test case coverage, automation, and quality analysis.</li>
<li>Strong analytical thinking, problem-solving skills, and the ability to work effectively across teams in complex environments.</li>
<li>Innovative mindset with a willingness to explore new testing methods, tools, and quality assurance approaches.</li>
</ul><div><b>Why Binance</b></div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div><br>
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div><i>
By submitting a job application, you confirm that you have read and agree to our </i><b><i>Candidate Privacy Notice</i></b><i>.</i></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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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>

QA Engineer (AI), Personalisation

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