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We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. When applying for one of our positions, you're agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. General Description: We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve non-trivial business problems in Fortune 500 companies. This person will mostly work with a mix of structured and unstructured data, using scientific methods and state-of-the-art techniques and tools to help our customers achieve their business objectives. Responsibilities: Understand complex business problems and translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving machine learning. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including simulations and offline/online experimentation (via A/B tests). Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models to help test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and implement them into running software for Proof-of-Concepts and projects. Ability to explore big data without a specific problem defined, in order to come up with the right questions and provide interesting findings. Ability to provide visibility of the progress of tasks to the team by means of small deliverables. Proficient in computer languages like Python or R, and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search). Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses. Think critically and act in a detail-oriented fashion while keeping the 'big picture' in mind. Ability to provide creative and innovative approaches to problem solving. Ability to work independently and within a collaborative team environment. Desired Qualifications: Masters or PhD in Machine Learning / Data Mining / Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it's one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That's why we created Ravio. We help many of the world's most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. We're passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins. Ravio is growing fast, which means you can too. We've established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you're in the right place. The role We're looking for a Senior Data Engineer to drive the ongoing development of our data platform. Be a senior technical contributor in our data engineering team, building and maintaining Ravio's data pipelines and infrastructure - the core of our business. Shape and implement the data roadmap, improving pipeline structure, robustness, testing, and continuous development as well as helping oversee the team's cloud infrastructure. Ensure data quality, governance, and security best practices are followed. Partner with fellow engineers, product managers and the broader team to make quick, collaborative decisions that drive business outcomes while maintaining technical excellence. Foster team culture in the Data team, making it a positive, ambitious, accountable and fun environment where people enjoy doing their best work. What we're looking for 6+ years experience in data engineering Expertise in at least one high level language such as Python, Julia, R, Matlab or Go Familiarity working with terraform, cloud logs, SQL databases Experience working with production systems, CI/CD Comfortable working in a fast-paced, startup environment with a bias for action Excellent listener and communicator Regardless of experience you, Naturally speak the language of engineers and data scientists, and are also very comfortable talking with people of other disciplines across the business including product, customer success, operations and founders. Have strong social and emotional intelligence, empathy, and an ability to put yourself in the shoes of others Take satisfaction in smooth execution of challenging problems and seeing a talented team operating at a high velocity Our Tech Stack; Data Engineering Python GCP (Cloud Functions, Workflows, CloudSQL, Cloud Storage, BigQuery, ) DBT Data Science Python (polars, scikit-learn, ) CI/CD GitHub Actions Terraform Data Engineering at Ravio in 2025 This is a key data engineering role at a company where data is at the very heart of our mission and product. We have technical co-founders who know first hand the importance of creating space and focus for engineering teams to do their best work. You'll be responsible for playing a critical part in our challenge to scale our existing pipelines to thousands of new customers, while continuing to build new pipelines and infrastructure to support new product areas. We're at an exciting stage that involves 0-to-1 engineering in some areas, and engineering for scale in others. To pull this off you'll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues. Why Join Ravio? Opportunity to be a critical team member in a high-growth startup. Blend of IC work and leadership, giving you both hands-on impact and career growth. Remote-friendly, flexible work culture with a high degree of ownership. Work on meaningful problems that help people get paid fairly and competitively in their careers. Compensation & Benefits £75,000 - £105,000 / Ravio Band: P4 Company ownership (everyone gets a meaningful equity stake in Ravio) 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays) Up to 6% pension matching scheme £60 a month wellness allowance (Invest in your physical wellbeing, on us) Private healthcare cover (on a medical history disregarded basis) with AXA Personal worldwide travel insurance - just in case Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability) 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave.

Grayce is looking for ambitious and analytical graduates to join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data-driven decision-making, business intelligence, and technology solutions. You will receive specialist training, mentorship, and development opportunities through Grayce's Accelerated Development Programme, helping you build a strong foundation for a successful career in data analytics. If you are eager to apply your analytical skills and contribute to transformational projects, this role offers a fantastic opportunity to develop technical expertise, problem-solving abilities, and industry experience. About Grayce For over a decade, Grayce has been transforming the way businesses approach change and transformation. Established in 2012, Grayce provides a cost-effective, long-term solution to help organisations grow through its Development and Delivery Model. The company has successfully launched the careers of thousands of Analysts, shaping the next generation of digital leaders and innovators. Grayce collaborates with global organisations across industries, equipping them with change management, technology, and data capabilities. By hiring, training, and deploying early-career professionals, Grayce delivers high-performing talent ready to drive transformation. With extensive experience in talent development and deployment, Grayce offers a scalable, low-risk solution that enables businesses to build long-term capabilities. Through its Accelerated Development Programme, the company has supported over 2,000 projects across more than 100 organisations, ensuring sustainable growth and innovation. Position: Graduate Data Analyst Job Type: Full Time Location: London About the Role Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Responsibilities Understanding the types of roles available to a Graduate Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing. Required Documents CV/Resume Application Process Join Grayce today and take the first step toward becoming a future leader in data analytics. APPLY NOW

Data Analyst: Marketing & Data Storytelling at Constructor Constructor, a leading tech company based in London, is looking for a talented Data Analyst to specialize in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. Position: Data Analyst Salary: £45,000 to £68,000 a year Job Type: Full Time Location: Remote (London, UK) About the Role At Constructor, we believe in the power of data to tell compelling stories. Our Marketing Data Storytelling program transforms complex retail data into meaningful insights that resonate with the public, industry professionals, and media. Through aggregated data analysis, we uncover trends, benchmarks, and unique insights about Ecommerce search and product discovery, providing valuable information to the broader retail and technology communities. As a Data Analyst in this team, you will collaborate with marketers, data scientists, and engineers to derive actionable insights from large datasets and translate them into engaging reports, blog posts, and thought leadership pieces that showcase the impact of Constructor's technology in the ecommerce space. Responsibilities Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery. Work with the content team to develop compelling data-driven narratives to support Constructor's marketing initiatives, including blog posts, white papers, and industry reports. Work closely with the marketing and content teams to translate analytical findings into accessible and visually appealing data visualizations and insights. Identify patterns in search and discovery behaviors across industries to help inform retailers and industry professionals. Develop and maintain dashboards and reports that highlight industry benchmarks and Constructor's impact. Partner with internal data science and engineering teams to ensure the accuracy and integrity of the data used for storytelling initiatives. Requirements You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are proactive and thrive in a fast-paced, remote-first environment.

Data Engineer - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: £40,000-£65,000 + Equity Our client, one of the UK's fastest-growing and most exciting tech start-ups, is looking for a talented Data Engineer to help shape the future of its data strategy. Named one of LinkedIn's Top 10 UK Start-ups and now operating Nation-wide, this is a unique opportunity to join a high-growth business that's already making a meaningful impact and has lots more to come! The Role: As a Data Engineer, you'll design, build and maintain scalable data pipelines and architecture that support analytics feeding directly into customer-facing mobile and web applications, as well as internal tools used to drive strategic decisions. Key Responsibilities: Build and maintain scalable data pipelines to support both internal dashboards and customer-facing products Design and implement efficient data architecture for optimal storage, retrieval, and processing Develop ETL processes to ingest, transform, and load data from various sources, particularly APIs Collaborate with data scientists and software engineers to align data strategies with app development Work with internal stakeholders to shape and meet business data needs Maintain documentation, monitor pipeline performance, and resolve issues as they arise About You: Strong problem-solving skills, demonstrated through academic or professional experience In-depth understanding of data architecture, data-modelling, and best practices in data engineering Proficient in Python and SQL; experience with data processing frameworks such as Airflow, TensorFlow, or Spark is advantageous Willingness to gain working knowledge of backend development (e.g., Python with Django) for pipeline integration Familiarity with data versioning, quality management, and CI/CD pipelines Experience with cloud platforms (e.g., AWS or Azure) and data tools such as Terraform or SageMaker is a plus Ideally, some hands-on experience building and maintaining data pipelines in a production environment What's on Offer: Competitive salary: £40,000-£65,000, dependent on skills and experience Private medical insurance Equity in a well-funded, high-growth start-up Office gym membership Dog-friendly office located in the heart of Camden A supportive, social, and dynamic team culture This is an exceptional opportunity for a data engineer who wants to make an impact at scale, grow in a supportive environment, and be part of an ambitious team at the forefront of UK tech innovation. If you're ready for your next challenge, we'd love to hear from you.

Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organisations around the world use data. In this role, you'll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to Palantir Gotham, Palantir Apollo, or Palantir Foundry: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. Palantir's Product Development organisation is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll also have the opportunity to learn about other business areas. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping, to execution and shipping, all while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SWE principles include: Ownership: We see projects through from beginning to end in spite of obstacles we may encounter. Collaboration: We work internally with people from a variety of backgrounds - such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems. Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn't matter what languages you know when you join us; what matters is that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you're a former university Teaching Assistant, switched to computer science recently, or are a hackathon enthusiast - you'll build your skills to apply the best technology to solve a given problem. Right now, we use: A variety of languages, including Java and Go for backend and Typescript for frontend Open-source technologies like Cassandra, Spark, Elasticsearch, React, and Redux Industry-standard build tooling, including Gradle, Webpack, and GitHub What We Value Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members. Willingness to learn and make decisions independently, and the ability to ask questions effectively. What We Require Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. To apply, please submit the following: An updated resume / CV - please do so in PDF format Thoughtful responses to our application questions Offer Deadline In an effort to build more transparency into our recruitment process, we'd like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.

Data Scientist - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: £65,000-£110,000 + Equity Our client is one of the UK's fastest-growing tech start-ups, recently recognised as one of LinkedIn's Top 10 UK Start-ups and already active nationwide. They're seeking a talented Data Scientist to play a pivotal role in scaling the company's AI capabilities and delivering data-driven impact at speed. The Role: As a Data Scientist, you will apply advanced analytics, AI, and problem-solving skills to interpret partner data, uncover trends, and build intelligent solutions that enhance operational efficiency within a booming UK Market. Key Responsibilities: Develop AI models to predict and optimise labour deployment based on demand patterns Build systems to monitor and improve service quality across partner operations Analyse data from high-profile hospitality partners to identify opportunities for value creation Design visualisations and dashboards for both internal and external stakeholders Maintain and scale analytics infrastructure for broader impact Collaborate across technical and non-technical teams to design and implement solutions What We're Looking For: 2+ years' experience building production-grade AI/ML models Strong Python skills and familiarity with leading AI/ML libraries Solid understanding of supervised and unsupervised learning techniques Experience in demand prediction, optimisation, or computer vision is advantageous Comfortable working with cloud platforms (preferably AWS) and services like SageMaker or Lambda Strong mathematical and statistical foundations, with a sharp eye for patterns and insights Willingness to build basic backend development skills (Python/Django or Go) to support deployment What's on Offer: Competitive salary: £65,000-£110,000 (depending on experience and skills) Private medical insurance Unlimited holiday allowance Office gym membership Equity in a well-funded, high-growth startup Friendly, social team culture based in the heart of Camden Dog-friendly office This is a rare opportunity to join a mission-led business that's reshaping a vital sector, with real traction, strong backing, and an ambitious roadmap. If you're ready to put your data science skills to work in a dynamic, real-world setting - this is the role for you. Apply now to be part of something transformational.

Are you looking for a place, where the positiveness of a can-do attitude & the unbelievable team spirit are key values of your surrounding environment? We validate and implement new technologies and create tailored solutions for our customers. We commit to a culture of innovation and embracing emerging technologies. We are brave in standing up for the best solution and being honest with our client or colleagues. We value teamwork and collaboration, and we believe that collective efforts of us are essential for achieving our and the client goals. Join our team and let's create the future together! Responsibilities Taking Responsibility: You will design and develop innovative AI projects that solve complex problems. Holistic Support: You will oversee the entire lifecycle of AI applications-from evaluation and conception to development, deployment, and production operation. Software Development: You will follow standard software development practices (version control, testing, DevOps), program conversational user interfaces, provide APIs for integration, and connect with other APIs. Use Case Evaluation: You will identify and assess new AI use cases and integrate them into existing business processes. Teamwork: You will collaborate closely with data scientists, data engineers, and software developers to develop and scale AI solutions. Optimisation: You will evaluate and optimize existing AI models in terms of performance, scalability, accuracy, and security. Many Opportunities: You will have the chance to expand your expertise and apply your knowledge to various areas in projects. For example, if you're interested in infrastructure, you can contribute to optimising cloud or on-premises infrastructure for AI workloads to ensure cost efficiency. Your Profile You have a solid background in software development and practical experience in generative AI, machine learning, or data-driven projects. You are proficient in programming languages such as Python, Java, TypeScript, and Go, and have experience with REST APIs and databases. You understand generative AI methodologies such as RAG, fine-tuning, agents, reasoning workflows, and more. You plan architecture and software with foresight to ensure automation, stability, and maintainability. Knowledge of cloud technologies (Azure or AWS), data science, Kubernetes, or front-end development is an advantage. You are highly technically inclined, enjoy independently diving into new technologies and tasks, and are eager to share your knowledge with colleagues. You are a team player with strong communication skills. Why PRODYNA Location in the city center Private health Insurance Health support and wellbeing Business travels Team events Employee education Fruits in the office Employee referral program Work permit is needed for this job opening! Further details can be provided in a personal meeting with you.

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You'll Do The Senior Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Senior Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Senior Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. Who You'll Work With Provide pre-sales support at an executive level to the Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software. Provide strategic pre-sales consulting to executives and senior managers in our target market. Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. What Makes You a Qualified Candidate Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL. What You'll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate a commitment to continuous professional development. A belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market. An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. A degree level qualification (preferably Masters or PhD) in Statistics, Data Science, the physical or biological sciences or a related discipline.

About Entourage We're building the infrastructure layer that will power the next generation of AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar to how open source software compounds value through collaborative improvement. As AI systems progress towards greater autonomy, the ability to learn from a larger pool of episodic experiences becomes crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value. About Moonsong Labs Project "Entourage" is incubated by Moonsong Labs, a cutting-edge Web3 and AI venture studio driving next-wave developer and end-user adoption. Moonsong Labs creates software infrastructure and protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape. Projects include: Kluster.ai - Decentralised optimisation platform for open-source models Moonbeam - EVM-compatible L1 blockchain optimised for cross-chain use cases Tanssi - Decentralised AppChain infrastructure secured via Restaking Your role as CTO and co-founder: Defining and refining technical vision, end-to-end architectures spanning AI, services, infrastructure, and data architectures, roadmaps, and key decisions on technology stacks, integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development. Collaborating closely with the CEO, COO, Product, Biz Dev, and stakeholders to shape the platform's evolution. Supporting initial customer acquisition and investor conversations by articulating our unique technical approach and market vision. Helping build a vibrant developer community around dynamic action discovery and agent collaboration. Evangelising our vision and technology at conferences/events and establishing thought leadership in the agent infrastructure space. Required Skills and Experience: Previous experience as a Founder, CTO, VP of Engineering, or AI Scientist in AI infrastructure, with proven leadership managing multidisciplinary teams and delivering complex software platforms and AI-native products. Deep expertise in Generative AI, Deep Learning, Reinforcement Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch. Active interest and experience in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story's Agent TCP/IP, Near's AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms. Strategic thinking about platform adoption, scalable developer ecosystems, and familiarity with Blockchain, Web3, and tokenomics (beneficial but not required). Postgraduate degree in a STEM field (Master's required; PhD strongly preferred). Ready to Shape the Future? Join Us Today! Equal Opportunity is the law, and at Moonsong Labs, we are ardently committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.

Company Overview Circadia Health is a medical device and data technology company that has developed the world's first FDA cleared contactless remote patient monitoring system. Powered by cutting-edge technology and AI, the system allows for the early detection of medical events such as Congestive Heart Failure, COPD Exacerbations, Pneumonia, Sepsis, UTIs, and Falls. We're monitoring over 28,000+ lives daily and growing rapidly. As we scale our team, Circadia is looking for energetic, personable, and solutions-oriented individuals driven by creating the ultimate customer experience. Prior experience in healthcare is a big plus, but not required. Our mission is to enhance patient outcomes and improve healthcare processes by providing cutting-edge solutions to healthcare providers and patients alike. Position Overview As a Machine Learning Engineer, you will design, build, and maintain end-to-end machine learning pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play a key role in building and iterating on the actual products that leverage machine learning to deliver value to patients and healthcare professionals. With a strong focus on scalability and performance, you will help bridge the gap between cutting-edge algorithms and real-world applications in a fast-paced, startup environment - driving our mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for both Circadia's proprietary ML models and off-the-shelf solutions. Optimize model training and inference workflows to handle large-scale, real-time data efficiently. Design robust model monitoring systems to track performance, detect drift, and ensure reliability. Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake. Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. Translate complex machine learning algorithms into user-facing features and services. Work with key stakeholders to ensure alignment between technical implementation and product goals. Define and develop APIs for seamless integration of ML models with product functionalities. Orchestration of Scalable ML Pipelines: Engage with data and ML scientists to plan the architecture for end-to-end machine learning workflows. Implement scalable training and deployment pipelines using tools such as Apache Airflow and Kubernetes. Perform comprehensive testing to ensure reliability and accuracy of deployed models. Develop instrumentation and automated alerts to manage system health and detect issues in real-time. Attributes: Technical acumen: Mastery of computer science fundamentals and understanding of core machine learning concepts. Detail oriented: Responsible for mission-critical healthcare machine learning models. Communications and Trust: Good communication skills with the ability to liaise with both technical and non-technical stakeholders. Organization and Getting Stuff Done: Juggling multiple projects and timelines. Prioritizing. Keen eye for detail in all tasks and projects. Growth Mindset: Your ability to learn from mistakes, reflect on mistakes, and not make mistakes again. Being curious and asking questions and showing resilience in the face of setbacks. Benefits: Join an energetic, diverse team dedicated to working towards the challenge of improving and saving patient lives. Private health insurance with Vitality Health for you and your family, including discounted gym memberships, wellness retreats, fitness devices, and lots more. 28 days paid annual leave during each holiday year (including bank holidays). Fully financed learning and personal development courses to help you grow in your role. Opportunity to attend conferences and acquire certifications, paid for by the company. New laptop of your choice for you to work on either at home or at Circadia's London Bridge office. Flexible / hybrid working to suit your personal circumstances and allow you to be productive wherever you are most comfortable working. Participate in and help plan regular team events, lunches, and dinners.

About Us At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly and the most time-consuming in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one of the fastest growing companies in our space and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join our ML team. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art of computer vision and solve multifaceted algorithmic problems. You will: Experiment with and adapt latest ML technologies to fit into existing tech stack Solve idiosyncratic statistical, geometric, and engineering problems Work closely with a full stack tech team to assist implementation of research solutions into the product Contribute to hiring additional talent to our rapidly growing team The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.