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At Rokk3r we support entrepreneurs and companies that want to leverage exponential technologies to transform their businesses or develop entirely new ventures. Rokk3r partners leverage our global idea to exit ecosystem to understand the exponential context, identify and validate new opportunities, and create entirely new businesses.
As a Technology Lead at Rokk3r you will be working on our Coubild team in partnership with entrepreneurs, and existing organizations to help architect, validate and build technology for early-stage startups.
Responsibilities * Ability to architect modern and innovative solutions using cutting edge technology. * Research and suggest updates to process and technology regularly to stay relevant. * Team alignment on overarching Cobuild strategy, which should align with Company Building, Taking Learnings from Company building. * Alignment with Management on Company Vision, and participation in the execution of the tangible goals that have been given to the Cobuild unit. * Optimization of the startup launch process (e.g. from nothing to product) * Optimization of the iteration process (e.g. changes need to be updated) * Optimization of the measurement process (e.g. KPIs have been defined, and need to be measured, and also need to roll up into some company reporting mechanism). * Constant mentorship and leadership of the Engineering Team. * Provide an environment that supports communication, collaboration, and alignment to the bigger vision of the company. * Implementation of Performance Tracking Processes on Teams * Implementation of Automation Processes for Company Builds, and Company Reporting Structures to Management * Participation and Thought Leadership in Steering Committees * Thought Leadership (e.g. Blogs, Education) * Optimization of the Product Build Lifecycle
Skills * Critical Thinking * Product Management Methodologies (SCRUM, Agile) * Relevant Infrastructure Experience (e.g. GCE and AWS) * Microservice Architecture Experience * Authentication Standards and Best Practices * Development Standards and Best Practices * Continuous Integration and Deployment * Client Service Architecture Experience (Mobile, Web via Angular2, ReactJS, ReactNative, etc...) * Application Development Experience (Several Product Builds under belt, from first line of code to growth phases)
Languages * Golang, NodeJS, Python, C++ , Java, Swift, etc...
Experience * Experience with Leading a Multi-Faceted Team (e.g. Engineering, Design, Architecture, Growth, Product) * Startup Team Experience * Investor Communications and Thought Leadership * Experience with TDD * Experience with Analytics Infrastructures (e.g. Product Architecture Experience of different system types (e.g. Machine Learning infrastructure, Big Data infrastructure, IoT infrastructure, etc…) * Infrastructure Security Best Practices * Application Security Best Practices * Data Storage Security Best Practices
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What is Emitwise?
Emitwise is a fast-growing startup, whose vision is to accelerate the transition to global carbon neutrality. We build software that uses machine learning to help companies monitor and manage their carbon footprint. We're a seed stage company backed by top-tier Silicon Valley investors. Headquartered in London, Emitwise is at the heart of the net-zero carbon revolution.
Why does Emitwise exist?
Climate change is the defining issue of our time and we have reached a defining moment. While the threat to our planet is dire, the opportunity is also historic. But we need to move quickly. Our team is determined to create a world where every organisation, big or small, is able and willing to play their role in the fight against climate change.
Who we are
We're a team of entrepreneurs, engineers, designers, and carbon accountants that share a deep passion for sustainability and our crafts. We recognise the urgency of the climate crisis and, as such, value execution. We strive for innovation and therefore actively pursue diversity of thought. We cherish feedback and default to transparency. Ultimately, we're a team disenchanted with business as usual and looking to make real impact.
About the job
Reporting to the CTO, you will be a core member of the engineering team, helping us build the next generation of our product. You will be working on different challenges every day, ranging from back-end development to deployment of infrastructure. You will take a special delight in front end work and will help lead the team on their redesign of our carbon data visualisations.
Financial compensation
Salary range: £60-80,000
Equity range: 0.05-0.25%
We want to hear from you
If this sounds like a team you'd like to be a part of, a mission you'd like to join, and a role you'd thrive in, please don’t hold back from applying! Whatever skills you bring to the table or background you’re coming from, we welcome you to start a conversation with us. We need your unique perspective for our continued innovation and success.
Apply to find out more about Emitwise and the role. The time to act is now!
Right to work
We are currently only accepting applications from candidates who have the right to work in the UK.
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Cortex is an open-source platform for building, deploying, and managing machine learning applications in production. We believe that machine learning should be a core competency of every engineering organization. Our goal is to help engineering teams build better machine learning systems, faster.
We are a VC-backed startup founded by infrastructure engineers with backgrounds from Google, Illumio, and the Berkeley ASPIRE Lab. We are looking for thoughtful and ambitious engineers to join our founding team.
Responsibilities:
Qualifications:
Seldon is looking for a Software Engineer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. We also contribute to open source projects under the Kubeflow umbrella including KFServing.
About the role Design and build scalable machine learning solutions on top of the open source and enterprise Seldon products. Working on bring the Explainable AI and ML Monitoring available in the Alibi projects into the enterprise products for general use.
Essential skills A degree or higher level academic background in a scientific or engineering subject. Familiarity with linux based development. At least 2 years of experience in industry or academia showing completed projects.
Core skills (The role will be focused on these skills so we would expect existing experience or a demonstrable desire to learn these) Experience with GoLang and Python Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Bonus skills (Any of these will be of great interest to us) A broad understanding of data science and machine learning. Understanding of explainable AI or machine learning monitoring in production Familiarity with Kubeflow, MLFlow or Sagemaker Familiarity with python tools for data science
About our tech stack Some of our high profile technical projects: We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem We built and maintain the black box model explainability tool Alibi We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving We run the largest Tensorflow meetup in London And much more 🚀
Some of the technologies we use in our day-to-day: Go is our primary language for all-things backend infrastructure including our Kubernetes Operator, and our new GoLang Microservice Orchestrator) Python is our primary language for machine learning, and powers our most popular Seldon Core Microservices wrapper, as well as our Explainability Toolbox Alibi We leverage the Elastic Stack to provide full data provenance on inputs and outputs for thousands of models in production clusters Metrics from our models collected using Prometheus, with custom Grafana integrations for visualisation and monitoring Our primary service mesh backend leverages the Envoy Proxy, fully integrated with Istio, but also with an option for Ambassador We leverage gRPC protobufs to standardise our schemas and reach unprecedented processing speeds through complex inference graphs We use React.js for our all our enterprise user products and interfaces Kubernetes and Docker to schedule and run all of our core cloud native technology stack
Benefits Share options to align you with the long-term success of the company. Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth. Access to discounted lunches, gyms, shopping and cinema tickets. Healthcare benefits. Cycle To Work Scheme.
Logistics Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we won’t make you write code on one. Our recruitment process has an average length of 3 weeks.
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How would you steam live audio traffic across multiple services into a machine learning model? What is the memory consumption of a service streaming data with maximum network utilization? How would you handle images send to a GraphQL endpoint?
At Corti, we have proven a life saving technology that augments emergency medical dispatchers with machine learning. We envision a near future where all emergency dispatchers around the globe are augmented by our intelligence. We are proud to say that the engineers at Corti are saving lives. A life saving engineer is dedicated, seeks for real purpose and is proud to the extent of obsession. We don't need the ninjas and wizards, we need people who own every aspect of their work at any time.
To get there, we need to solve problems that go way beyond picking the right text editor. The engineering team at Corti owns the entire stack, from live audio capture, real time traffic processing and classification using machine learning models to the hardware on the dispatcher desk, the servers in the basement and the right cloud strategy.
We pick our team members carefully so we can maintain our culture of excellence. We look for complementing skills and characters and care less about your degree, certifications and experience. You can't hide behind your screen as we are a team that believes in collaboration across all the departments at Corti.
You can solve problems and you can proof it to us. You are better at estimating memory usage than remembering the exact implementation of quicksort. A new problem stimulates your creativity rather than your hippocampus. Working cross domain is a bonus for you and you are eager to widen your horizon.
While we have a core set of tools, programming languages and concepts we work with, we will definitely going to ask you to learn something new. Never worked with machine learning? This will change. Writing a parser for a network protocol? It will happen. Transitioning a customer to the cloud? The sky isn't the limit for us.
We are looking for someone experienced in Golang to support our backend team. You would be mostly working on the REST and GraphQL API and the integration with the models from the machine learning team.
Lead Engineer - Go, Python, AWS
Are you an enthusiastic, experienced engineer with excellent experience in Go or Python, looking for the opportunity to work in a small and growing start-up?
MachineMax is actively hiring a Lead Engineer to join them - a team of around 20 people, they are creating a world first machine analytics service that will deliver, analyse and visualise data to improve machine efficiencies through the use of IoT technologies, Machine Learning methods, and cutting-edge techniques.
This is a true opportunity to shape and build both a product and an engineering culture. Far from your typical start-up, MachineMax has been incubated with BCG Digital Ventures, a fortune 50 corporate partner, and a venture capital firm managed by a Facebook founder.
As a Lead Back End Engineer you'd be joining a tight-knit, collaborative team in a role that is a mixture of hands on coding, mentorship of less experienced developers, and contribution of software development expertise to the rest of the venture team.
Responsibilities: Develop a range of APIs to serve multiple internal consumers, from customer facing apps to machine learning pipelines Design and deliver high quality, well-tested code in Go/Python Communicate with other teams and individuals to plan, coordinate and collaborate Pitch in where needed as a valued member of an autonomous, cross-functional team Share technical solutions and product ideas Champion testability, security, and scalability
Requirements: Excellent development experience building scalable backend services in Go or Python Excellent architecture and design skills Experience working with distributed systems Analytical skills, with a love for problem solving and troubleshooting Confidence in deploying production applications using AWS, Google Cloud or similar Enthusiasm for CI/CD and the benefits you've seen when using this in previous projects A strong understanding of databases and when to use relational and non-relational A strong understanding of the fundamentals - data structures, algorithms, OO design and system architecture Unix/Linux experience Communication skills, happy to collaborate and talk with the rest of the team Solid understanding of Agile development methods
Bonus, shares, free gym, pension, subsidised canteen, and nice people!
Mixture of F2F interviews and coding tests.
⎘ Copy Link ↗ Visit LinkRavelin is pioneering the use of machine learning in the prevention of e-commerce fraud and has been very successful in the four years we have been in operation. Companies all over the world are accepting more transactions with fewer chargebacks thanks to our machine learning-based approach to fraud prevention.
THE ROLE
Ravelin is looking for a Software Engineer to own the development of a high volume fraud technology platform within a small tech team. You will be encouraged to have opinions about the strategic direction of the company and products, as well as owning the development team from the front.
In the day-to-day work, you’ll be working closely with our skilled engineers to build internal processes that are so reliable they melt into the background and run software at scale under real-world conditions.
Ravelin also encourages learning and development of new and existing skills (machine learning, neural networks, python, Golang, cloud automation etc).
RESPONSIBILITIES
Preferable:
We are looking for a track record of:
Preferred experience with, but not required:
Delivering secure and well-tested solutions that scale:
Strive to take ownership of a project from ideation to delivery and maintenance. Your experience provides a framework for you to work independently on several initiatives which will provide significant and measurable value to our customers. Seek opportunities to develop horizontal technologies that benefit multiple teams. Build and automation tools to increase the quality of all teams at Ferrum.
Communicate and document everything. At Ferrum, we are a distributed team. A culture of sharing and documentation allows everyone to work together. We are looking for a practitioner of clear documentation that is well-maintained. You adapt your communication style to suit different audiences and follow up on feedback to ensure positive outcomes.
Are a team player. Ferrum is a high-growth, venture-backed, fast-paced startup. This means that while the team members we’re hiring will fully own their functions, we expect them to understand adjacent roles and responsibilities in order to support and sometimes contribute.
Are an out-of-the-box thinker. In a fast-paced startup environment, much of our success hinges on our ability to think differently from competitors, counter-position, outmaneuver, iterate rapidly, and present compelling messaging that differentiates us from the pack.
Think healthcare can be better and want to have an impact in the industry. Ferrum’s team is first and foremost, mission-driven. Our mission is to help hospital systems use AI to improve patient care, and the work that we do impacts patient lives every day.
About the Role
At Techcyte, we are building machine learning algorithms for microscopy testing using the latest in deep learning. To support these applications, we use AWS in a dynamically scaling environment while maintaining the availability and quality requirements of medical grade software.
We use the following technologies (and more!):
The goal of our DevOps team is to create a self-service system for everyone to get their job done. This means designing intuitive and well-documented infrastructure as code that allows others to get their jobs done efficiently, securely, and correctly instead of doing it all for them. At Techcyte, we believe the primary developers are the best suited to dissect production problems, and the DevOps team provides top-notch tools and methods to help them do that. As such, our DevOps members are still developers and will participate in product development, but they should be evangelists for thinking about code in the context of where and how it runs.
Candidates must meet the following requirements:
Candidates will be asked to code in the interview process.
About the Company
Work from Home
While we do have offices available for use, our workforce spends the majority of their time working from the comfort of their home. Every team member has a daily standup meeting to touch base with their team and a monthly all hands meeting for the whole company to get updates. Additional meetings are created as needed, and the majority are impromptu.
Benefits
We offer competitive salaries, healthcare benefits, paid time off, work from home, a bonus plan, and equity.
Hard Problems
Techcyte develops products using computer vision and deep learning to automate microscopy for laboratory testing for healthcare, veterinary services, and environmental testing. We need to analyze the equivalent of a blu-ray movie worth of images in the cloud in only a few minutes while staying reliable and accurate. Major problems include transferring, processing, and storing terabytes of data, creating queuing systems that balance turnaround times with costs, and building a pipeline around machine learning models that meet the accuracy requirements of human healthcare.
Extremely Talented People
We have a wide range of talent spanning a variety of industries and positions. We have built a culture of fast paced and agile development in the face of a healthcare system that has been rigid. We are building massive scale systems to implement bleeding edge research. Come interview with us and you will see top notch engineering talent that can compete with any organization on the planet.
Improve the World
Our mission is to improve healthcare and laboratory testing throughout the world. We improve the work environment for our users, improve the accuracy of tests, and lower costs and turnaround times for the healthcare system. We push new innovation in technology, workflow, and regulations to make the healthcare system the best it can be. We have already improved accuracy in laboratory testing that have prevented misdiagnoses, and we are striving to do more.
cert-manager is an open source project led by Jetstack that is widely used to provision X.509 certificates to Kubernetes clusters. We are looking to hire a software engineer to join the team behind cert-manager. You will work with the team to develop the next round of features that will expand the ways in which cert-manager can be used to keep a Kubernetes cluster and the applications running on it secure.
We are a distributed team that works in the open. Our Software Engineers tackle complex user problems through designing, analysing and troubleshooting software systems. We have a pragmatic approach and are results focused, whilst always placing a high value on user experience.
Desirable technical experience
Kubernetes or other container orchestration systems
Good understanding of PKI/TLS/SSL
Proficiency in Golang
Experience building distributed systems
Linux systems programming (i.e. shell, Bash scripting, etc)
Good understanding of Linux networking and containers
Git source control
CI / CD (e.g. GitLab, Jenkins, etc)
Other desirable skills
Experience in working in an agile process/environment
Experience contributing to open source projects
A ‘can-do’ attitude and the ability to thrive in a fast-paced environment
Strong ability to focus and work independently, as well as collaboratively in a team
A sense of ownership and customer responsibility
Ability to adapt to circumstance and respond with urgency and pragmatism
Ability and desire to continually learn and remain up-to-date with ecosystem developments
Excellent communication skills and able to successfully articulate technology concepts to both business and technology audiences.
Experience working on distributed teams
Benefits
As well as working with a great team on an exciting project we also offer a number of benefits:
Conference leave entitlement
Flexible working
A laptop of your choice
25 days of holiday (not including UK public holidays)
A generous pensions scheme
Location
We are primarily located in the UK, but this role is open to applicants wanting to work remotely from anywhere in Europe.
About Jetstack
Our mission is to build the best team that will guide and support enterprises and start-ups alike in their adoption of Kubernetes. Our deep understanding and real-world experience in a variety of environments (cloud and on-premises), enables us to accelerate customer projects and provide them with confidence in their operations.
We are a group of open-minded people who care about the service we provide to our customers, the impact we have on the open source community and how we work better together. We have a diverse team who thrives on interesting projects, resolving real life complex issues and giving back to the community. If you’re as interested in learning and developing as we are then please do apply.
Jetstack embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
Jetstack is a Venafi company.
About Venafi
Venafi is the undisputed heavyweight champion in Machine Identity Protection. Why? Because we created the category and are light years ahead of anyone that would consider competing! Gartner has recognized Venafi as number one in our space and as it turns out, one is NOT the loneliest number!
Venafi is the inventor of the technology that secures and protects keys and certificates. Venafi protects machine identity types by orchestrating cryptographic keys and digital certificates for SSL/TLS, IoT, mobile and SSH. Many of the largest organizations in the world use Venafi.
Billions of dollars have been spent protecting usernames and passwords and almost nothing protecting keys and certificates—organizations are just now realizing that protecting keys and certificates is as important as protecting usernames and passwords. The bad guys know this and are using stolen or forged keys and certificates to attack networks and steal data. In fact, Gartner says 50% of network attacks will use certificates.