machine learning engineer

ai engineer

senior software engineer

data engineer

platform engineer

algorithm design engineer

<div>
 
 
 Who are we?👋
 
 
 
 Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs.
 
 
 
 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.
 
 
 
 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.
 
 
 
 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.
 
 
 
 
 Where you come in?
 
 
 
 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.
 
 
 
 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.
 
 
 
 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.
 
 
 
 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.
 
 
 
 
 What you will be doing: 🖋️
 
 
 <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
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <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

Tata Consultancy Services

<div>
 
 
 
 If you need support in completing the application or if you require a different format of this document, please get in touch with
 
 
 
 at UKI.recruitment@tcs.com
 
 
 
 or call
 
 
 
 TCS London Office number 02031552100 / +44 204 520 2575
 
 
 
 with the subject line: &ldquo;Application Support Request&rdquo;.
 
 
 
 
 
 
 
 
 
 
 
 Job Title:
 
 GenAI Adoption &ndash; Platform Engineer
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 London
 
 
 
 Hours:
 
 40 hours per week &ndash; Full time
 
 
 
 
 
 
 
 
 
 Ready to apply your
 
 data engineering expertise to build reliable and scalable pipelines for enterprise platforms?
 
 
 
 We have an exciting opportunity for you &mdash;
 
 GenAI Adoption &ndash; Platform Engineer!
 
 
 
 
 
 
 
 Careers at TCS: It means more
 
 
 
 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.
 
 <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>
 
 
 
 
 
 
 
 
 The Role
 
 
 
 As a
 
 GenAI Adoption &ndash; Platform Engineer
 
 , 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.
 
 
 
 
 
 
 
 
 
 Your responsibilities:
 
 
 <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>
 
 
 
 
 
 
 
 
 Your Profile
 
 
 
 Essential skills/knowledge/experience:
 
 <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>
 
 
 
 
 
 
 
 
 Desirable skills/knowledge/experience:
 
 
 <ul>
 <li>
 Broader exposure to multi-cloud environments across AWS, Azure, and GCP.
 </li>
 </ul>
 
 
 
 
 
 Rewards &amp; Benefits
 
 
 
 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.
 
 
 We offer health &amp; wellness initiatives and sports events; we are the proud sponsor of the London Marathon.
 
 
 
 Diversity, Inclusion and Wellbeing
 
 
 
 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.
 
 
 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.
 
 
 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
 
 UKI.recruitment@tcs.com
 
 if you would like to opt in.
 
 
 If you are an applicant who needs any adjustments to the application process or interview, please contact us
 
 at UKI.recruitment@tcs.com
 
 with the subject line: &ldquo;Adjustment Request&rdquo; or call
 
 TCS London Office 02031552100 / +44 204 520 2575
 
 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
 
 
 
 
 
 
 Next Steps:
 
 
 
 
 
 
 
 Application Process
 
 
 <ol>
 <li>
 
 Online application:
 
 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>
 
 Skill-Based discussion:
 
 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>
 
 Managerial discussion:
 
 This discussion will focus on behavioural aspects and person-organisation fit.
 </li>
 <li>
 
 HR Discussion
 
 : 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>
 
 
 
 
 
 Beware of Fraudulent offers
 
 
 
 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
 
 UKI.recruitment@tcs.com
 
 to report any fraudulent activity.
 
 
 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.
 
 
 
 Join us and do more of what matters. Apply online now.
 
 
 
 
 
</div>

Gen AI - Platform Engineer

Copperleaf Technologies Inc.

<div><div><div><div><h2 class="jobSectionHeader">Company Description</h2></div><div>
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.
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.
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.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment 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.
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
About the Role
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.
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.
What You&rsquo;ll Do<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><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div>
What We&rsquo;re Looking For<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>
Nice to Have<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><div><div><h2 class="jobSectionHeader">
Additional Information</h2></div><div>
What We&rsquo;re Offering<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> 
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
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</div></div></div> 

<div><div>
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</div></div></div>

Forward Deployed AI Engineer: IFS Loops

Playtech

<div>
 
 
 About Playtech
 
 
 
 
 
 
 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.
 
 
 
 
 
 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
 
 
 
 
 
 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.
 
 
 
 
 
 
 Ready to level up your career?
 
 
 
 
 
 
 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.
 
 
 
 
 
 This is not about theory - it&rsquo;s about building AI that works in the real world!
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Your Influential Mission: You Will&hellip;
 
 
 
 
 
 <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>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Components for Success: You&hellip;
 
 
 
 
 
 <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>
 
 
 
 
 
 You&rsquo;ll Get Extra Points for&hellip;
 
 
 
 
 
 <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>
 
 
 
 
 
 Thrive in a culture that values&hellip;
 
 
 
 
 
 <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>
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 CENTRAL AI TEAM
 
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
</div>

AI Solution Engineer

PLAYTECH

<div>Company Description 
About Playtech
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.
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
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.
Ready to level up your career?
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. 
This is not about theory - it&rsquo;s about building AI that works in the real world! 
Job Description 
Your Influential Mission: You Will&hellip;<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> 

Qualifications 
Components for Success: You&hellip;<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>
You&rsquo;ll Get Extra Points for&hellip;<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>
Thrive in a culture that values&hellip;<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>
Neat benefits &amp; bonus package. 
<li>
</li></ul> 
 
Additional Information 
CENTRAL AI TEAM
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.
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.</div>

Innatera Nanosystems

<div>About Us:
Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain&rsquo;s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains.
To support our rapid development roadmap, we&rsquo;re looking for a Senior NPU SDK Engineer to help drive the development of our simulation environment by enabling early application development and system validation before hardware is available. As a key member of our SDK team, you&rsquo;ll be responsible for designing and building accurate and high-performance C++ hardware simulators that reflect our neuromorphic architecture. This role is critical to how our software and hardware teams collaborate to test, validate, and iterate on next-gen chip designs.
We will trust you with:<ul><li>
To take care of the full life-cycle of our SDK features in one of the components, including the simulator and compiler, or the API and the infrastructure of our SDK;</li><li>
Set and uphold high standards for code quality, maintainability, testing, and release readiness;</li><li>
Conduct code reviews and improve engineering practices and ensure robust documentation within the expertise domain;</li><li>
Work closely with other team (Digital Design, Firmware, Applications), translate complex algorithm or hardware specifications into efficient, user friendly, and testable software behaviour, and provide technical feedback;</li><li>
Provide support to internal teams and customers to enable them to develop applications quickly using our SDK or help solve any issues;</li><li>
Contribute to improving power consumption performance, latency, and any performance bottlenecks for our efficient edge-AI solution;</li><li>
Keep innovating, bring latest trend of the technology and best practice to keep our product competitive in the market.</li></ul>
What will you need to succeed:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field;</li><li>
Strong Python development skills;</li><li>
Extensive experience with PyTorch and its customization, including knowledge of internal mechanics;</li><li>
Modern C++ development skills (including C++17/20) would be a big plus, or a willingness to expand the knowledge;</li><li>
Proven track record of designing modular, maintainable and testable software architecture;</li><li>
Experience in low-power resource-constrained embedded programming;</li><li>
Familiarity with hardware/software co-design concepts;</li><li>
Great communication skills.</li></ul>
Nice to have:<ul><li>
Exposure to bare-metal firmware development;</li><li>
Solid understanding of computer architecture, particularly ARM or RISC-V-based systems, and basic digital design knowledge is a big plus;</li><li>
Familiarity with ML compilers like MLIR, IREE or PyTorch compiler (Dynamo);</li><li>
Familiarity with the runtime of TinyML or EdgeAI runtimes (TensorFlow Lite Micro, execuTorch);</li><li>
Knowledge of SNN (Spiking Neural Networks).</li></ul>
Whether you&rsquo;re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we&rsquo;d love to hear from you!
If you're ready to shape the future of technology with us, click Apply and share your story.
Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know &ndash; we&rsquo;re happy to support you.</div>

Senior NPU SDK Engineer

StackAdapt

<div>
 
 StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
 
 We're looking to add a&nbsp;
 
 Machine Learning Engineer
 
 to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.&nbsp;
 
 StackAdapt is a remote-first company with teams around the world.
 
 Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany.&nbsp;
 
 This role will remain open until February 27, 2026
 
 . Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.&nbsp;Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuUWhat you'll be doing:
 <ul>
 <li>
 Design modular and scalable real time data pipelines to handle huge datasets
 </li>
 <li>
 Understand and implement custom ML algorithms in a low latency environment
 </li>
 <li>
 Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
 </li>
 </ul>
 What you'll bring to the table:
 <ul>
 <li>
 Have the ability to take an ambiguously defined task, and break it down into actionable steps
 </li>
 <li>
 Have deep understanding of algorithm and software design, concurrency, and data structures
 </li>
 <li>
 Experience in implementing probabilistic or machine learning algorithms
 </li>
 <li>
 Interest in designing scalable distributed systems
 </li>
 <li>
 A high GPA from a well-respected Computer Science program
 </li>
 <li>
 Enjoy working in a friendly, collaborative environment with others
 </li>
 </ul>
 StackAdapter's Enjoy:
 <ul>
 <li>
 Highly competitive salary
 </li>
 <li>
 Retirement/ 401K/ Pension Savings globally
 </li>
 <li>
 Competitive Paid time off packages including birthday's off!
 </li>
 <li>
 Access to a comprehensive mental health care program
 </li>
 <li>
 Health benefits from day one of employment
 </li>
 <li>
 Work from home reimbursements
 </li>
 <li>
 Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
 </li>
 <li>
 Robust training and onboarding program
 </li>
 <li>
 Coverage and support of personal development initiatives (conferences, courses, books etc)
 </li>
 <li>
 Access to StackAdapt programmatic courses and certifications to support continuous learning
 </li>
 <li>
 An awesome parental leave program
 </li>
 <li>
 A friendly, welcoming, and supportive culture
 </li>
 <li>
 Our social and team events!
 </li>
 </ul>
 
 
 Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
 
 
 
 StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you&rsquo;re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
 
 &nbsp;
 
 We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
 
 &nbsp;
 
 About StackAdapt
 
 &nbsp;We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:&nbsp;G2 Top Software for 2026
 
 2026 Best Workplaces&trade; for Young Talent and in Canada by Great Place to Work&reg;
 
 #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising&nbsp;To learn more about our privacy practices, please see our Privacy Policy.&nbsp;
 
 
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