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Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.
At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.
If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together
Job Title: Senior AI Consultant
Employment Type: Permanent Role
Company: New Era Technology
Work Location: Onsite – Client Location, Abu Dhabi, United Arab Emirates
New Era Technology is looking for an accomplished Senior AI Consultant to work onsite at our client location in Abu Dhabi. This is a strategic consulting role focused on advising organizations on the adoption, design, and implementation of Artificial Intelligence (AI) and Generative AI solutions.
The ideal candidate will bridge business strategy with advanced AI technologies, helping clients identify high-value use cases, define AI transformation roadmaps, and drive enterprise-wide adoption with strong governance, security, and compliance standards.
Arabic Speaking Preferred
The Senior AI Consultant will work closely with C-level executives, business leaders, government stakeholders, IT teams, and delivery teams to convert business objectives into scalable, ethical, and secure AI solutions. This role requires a blend of strategic advisory expertise, technical understanding, stakeholder engagement, and leadership capabilities.
New Era Technology, LLC., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”).
View our Privacy Policy here https://www.neweratech.com/us/privacy-policy/
We never ask candidates to pay any fees at any point in our hiring process. If you are ever asked to provide payment for training, certification, equipment, or any other purpose, it is not from our company. Only communications from our official company channels should be trusted. Please note our official email domain is @neweratech.com. If you suspect fraudulent activity, please contact us immediately at privacy@neweratech.com .
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Apply to New Era TechnologyWinton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.
We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
We are seeking a highly motivated quantitative researcher to join our Investment Management & Research group, focussing on MENA Equities. You will play a key role in researching, developing and operating our equities strategies in the region, partnering with portfolio managers, researchers, and technology to build and optimise the full strategy lifecycle – from research and back testing to live trading and risk management.
You will spend an initial period of approximately 6 months working in our London office before relocating to our office in Abu Dhabi.
Your responsibilities will include:
What we are looking for:
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Ready to apply?
Apply to Winton
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
An Ideal Candidate Should Have
What we offer
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
Planet’s Professional Services team helps our Defense and Intelligence (D&I) customers adopt the Planet Platform and rapidly realize return on investment in Planet data and analytics. The Professional Services Global D&I team is looking for a Solutions Architect responsible for the implementation, integration, and analysis of new software and data products that extend the Planet Platform and deliver new capabilities to our strategic D&I customers. In this role, you will be embedded with our customer to train users on Planet products, translate requirements, design workflows, and communicate with Planet’s product team on mission critical capabilities. Your work will be highly visible, directly impacting customers' ability to quickly access Planet's unprecedented datasets, as well as streamline the internal processes for adding new customers to our platform. Ideal candidates will be excited about Planet’s mission.
This is a full-time, in-office position based in one of our strategic customer locations 5 days a week, in Abu Dhabi, UAE. This position is contingent upon award.
Impact You’ll Own:
What You Bring:
What Makes You Stand Out:
Application Deadline: February 20th, 2026 at 11:59PM PST
Benefits While Working at Planet:
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.
Ready to apply?
Apply to Planet
About the role
We are seeking an experienced Machine Learning Lead to helm our Machine Learning team.
In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).
Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.
2. MLOps& Data Infrastructure:
3. Cross-Functional Implementation & Leadership:
4. Technical Strategy & Stakeholder Management:
Qualifications
Ready to apply?
Apply to AIFT
We are partnering with a venture-backed, early-stage technology company building a programmable loyalty and rewards operating system for global consumer brands. The platform enables brands to launch white-label fan engagement and monetisation experiences—including predictions, quests, digital drops, auctions, and ticketing—without gambling mechanics.
At its core, the platform combines consumer-grade applications with a tokenised exchange and settlement layer, enabling branded tokens to be issued, traded, and distributed at scale. Initial verticals are in global sports and entertainment, with expansion planned into additional IP-driven markets.
The company is now seeking a Founding CTO to lead the architecture and build-out of its protocol, exchange infrastructure, and engineering organisation from day one.
As Founding CTO, you will be responsible for designing, building, and scaling the full technical stack, with a particular focus on the exchange and protocol layer. You will oversee smart contract development, liquidity and market mechanics, wallet infrastructure, and the integration between on-chain systems and high-scale consumer products.
This is a hands-on leadership role suited to a senior Web3 technologist who has shipped production protocols and wants full ownership of technical strategy in a greenfield environment.
Ready to apply?
Apply to Hyphen Connect Limited
We are supporting a venture-backed, early-stage technology company building a white-label consumer engagement and rewards platform for global brands. The platform enables large-scale fan and customer experiences (e.g. predictions, quests, digital rewards, ticketing and commerce) while incorporating tokenised settlement and rewards infrastructure.
This role represents a true greenfield build. The Founding CTO will define the overall system architecture, technical standards, and engineering culture from day one, while delivering a production-grade platform designed to scale to millions of users.
As Founding CTO, you will take end-to-end ownership of the technology organisation, from initial architecture and hands-on development through to team build-out and long-term technical strategy.
You will work closely with founders and commercial stakeholders, translating product vision into scalable systems and ensuring the platform can support multiple partners, brands, and regions.
Ready to apply?
Apply to Hyphen Connect Limited
As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.
The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.
If you possess all or most of the following, we would love to explore what is available for you with our team:
At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:
Ready to apply?
Apply to Vatic Labs
Vatic Labs is a quantitative trading firm in New York and Abu Dhabi. Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.
As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.
We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.
If you possess the following, we would love to explore what is available for you with our team:
Ready to apply?
Apply to Vatic Labs
As a Quantitative Researcher at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel machine learning and artificial intelligence methods to discover and capitalize on trading opportunities. The problems are challenging; we hire top talent, empower them with tools and mentorship, and foster a highly collaborative, open environment. Our researchers are recognized leaders whose work is widely cited in top-tier, peer-reviewed journals.
What You’ll Do
· Formulate and test hypotheses on vast, multi-modal market datasets.
· Build and evaluate ML/AI models (e.g., classification, clustering, regression) to identify alpha.
· Design robust research pipelines and backtests; iterate from idea → signal → portfolio contribution.
· Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications
· PhD or Master’s (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
· Relevant industry experience, or experience as a Postdoc/Faculty in a scientific lab.
· Proven ability to analyze large datasets with rigorous ML/AI approaches.
· Demonstrated ability to generate impactful research (academic or professional).
· Deep knowledge of time-series analysis.
· Advanced proficiency in a numerical language; Python (NumPy/SciPy stack) preferred.
· Exposure to C++ or a related compiled language.
· Interest in financial markets.Nice to Have
· Experience with portfolio construction, risk modeling, and transaction cost analysis.
· Familiarity with distributed computing frameworks and research workflow tooling.
· Publications or open-source contributions in ML/stats or related areas.What We Value
· First-principles thinking, high ownership, and a bias for rigorous experimentation.
· Clear communication and collaboration across research and engineering.
· Curiosity, humility, and continuous learning.
At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:
Ready to apply?
Apply to Vatic Labs
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