Thought Machine is solving one of the biggest problems in banking. Since launching in 2014, our mission has been to liberate banks from outdated, legacy technology which stifles their ability to innovate. Thought Machine’s core product Vault is a cloud native, core banking engine built to run any type of bank - from established Tier 1 banks all the way to new challenger banks.
To move closer to achieving our mission, we are looking for highly talented individuals to join the fast growing team. With a founding team drawn from Google, we have a deep culture of engineering excellence and we believe it is this which delivers a solution compelling enough to engender a seismic shift in the banking industry.
Thought Machine was recognised on LinkedIn’s Top Startups List (2019) and named in Fintech 50 (2019). We pride ourselves on having an excellent internal culture, where we take cultural fit as important as technical fit when we make new hires. At Thought Machine, we strive hard to create a fast-paced, supportive and fun working environment to enable the team to produce the best technical work in the industry.
Back End Engineering is a key role within Thought Machine as Back End Engineers lead the development of Thought Machine’s Vault product. We pride ourselves in excellence in this role, adopting the best practices in continuous deployment monorepo style development.
While development at Thought Machine is fast paced, you will be expected to develop code to a high standard and production ready state.
DUTIES
Essential:
Desirable:
Thought Machine is committed to making a measurable positive impact on people's everyday lives. We are an equal opportunity employer and value diversity at our company. We actively hire for cultural growth. We welcome people of all ages, backgrounds and value people who take a journey unique to them. We provide everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't precisely match the job description.
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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.
What do we do and why?
For over 120 million people who're deaf or hard-of-hearing, daily communication is a huge struggle. Inspired by co-founder Jari’s parents being deaf, SpeakSee is developing a multi-microphone system which transcribes speech to text on a web application in different colors for each person. This way the deaf person can read what's being said!
Presently available speech recognition solutions don’t work well for group conversations. At SpeakSee, we are revolutionizing the transcription industry and, with our microphone technology and machine learning algorithms, solve this problem by making speech recognition useful in all environments independent of the number of participants in the conversation.
Are you motivated to have an actual positive social impact with your expertise, changing the lives for the better of potentially millions of people?
Are you attracted by the realism of our team to solve a very urgent need for a niche group before aiming at fully changing the wider transcription market with our technology?
Do you get excited by the thought of working with a results-oriented, hands-on, and visionary team to get SpeakSee in the hands of thousands of people this and next year? We would love to hear from you!
Your work:
You will mostly be working on developing our back-end. There is plenty of room for development in other areas as well.
Your Profile
We make decisions quickly.
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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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Back is a young software company from Berlin with the mission to enable companies to focus on what they do best. We’re building a collaboration and automation platform to untangle repetitive questions and workflows around the workplace.
You will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.
This position is based in our growing HQ in Berlin.
Radical honesty
Radical transparency
Radical open-mindedness
Radical pragmatism
Customer-first
Camaraderie
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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.
We are seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will have extensive experience in full-stack Go development and a strong understanding of Kubernetes and AWS deployment. This role requires someone who can build scalable backend systems and ensure seamless integration with our machine learning algorithms.\u000A\u000AAbout Prospecter: At Prospecter Ventures, our mission is to transform technology and its usage in the modern era through the creation of cutting-edge technology offered through our SaaS product. We work across the globe and remain at the forefront of technologic development. Through this, we are on an extraordinary scaling pathway, becoming one of the leaders in our industry. Our core values are the backbone of our business and guide our day-to-day operations, we are: results-oriented, future oriented and strive towards making the world a more unified place through the use of technology. Furthermore, making our technology accessible and affordable to users around the globe, is important to us.\u000AProspector is a pioneering company focused on developing an advanced machine learning content management system (CMS). Our tech stack includes Golang, gRPC, and protocol buffers for backend services, and TypeScript with Vue.js for frontend applications. We aim to revolutionize how content is managed and delivered using cutting-edge technology and innovative solutions.\u000A\u000AKey Responsibilities:\u000A● Develop, maintain, and enhance backend services using Golang, gRPC, and protocol buffers.\u000A● Design and implement scalable microservices architecture.\u000A● Deploy and manage applications on Kubernetes and AWS.\u000A● Collaborate with frontend engineers to integrate user-facing elements with server-side logic.\u000A● Support the Machine Learning team for model deployments and infrastructure topology.\u000A● Optimize applications for maximum speed and scalability.\u000A● Implement security and data protection measures.\u000A● Write clean, maintainable, and testable code.\u000A● Participate in code reviews and provide constructive feedback.\u000A\u000ARequirements:\u000A● Bachelor’s or Master’s degree in Computer Science or a related field.\u000A● 5+ years of experience in backend development using Golang.\u000A● Proficiency with gRPC and protocol buffers.\u000A● Strong experience with Kubernetes for container orchestration.\u000A● Expertise in deploying and managing applications on AWS.\u000A● Familiarity with CI/CD pipelines and DevOps practices.\u000A● Solid understanding of microservices architecture.\u000A● Excellent problem-solving skills and attention to detail.\u000A● Strong communication skills and the ability to work effectively in a remote team .\u000A● Based in Germany environment.\u000A\u000APreferred Qualifications:\u000A● Knowledge of machine learning concepts and tools.\u000A● Familiarity with database technologies (SQL and NoSQL).\u000A\u000ABenefits:\u000A● Competitive salary\u000A● Flexible working hours and remote work opportunities.\u000A● Professional development opportunities.\u000A\u000ADoes the above description spark your interest? Or do you feel like you could be a great fit for us, but don’t fit the profile 100%? Feel free to reach out to us, we are happy to jump on a call with you to discuss potential career opportunities.\u000AWe strongly believe, that skills can be acquired, as long as the drive and passion by a team member is given!\u000AWe are an inclusive team and are happy to hear from all potential candidates regardless of their identified gender, sexual orientation or disabilities.
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SOFTWARE DEVELOPMENT ENGINEER (GOLANG)
Location:Cambridge, UK Contact: careers@speechmatics.com
“Speechmatics is on the bleeding edge of speech recognition, and as a Software Engineer, I get to build the infrastructure to deliver this at scale using state-of-the-art technology. As well as that, I work with a wonderful team and there’s a very welcoming and supportive culture in the company. If you’re currently looking for a new opportunity, and are interested in a position in one of the best Machine Learning companies in the UK, look no further.”
Michel Hollands, Software Development Engineer at Speechmatics
Background
Speech technology is one of the most popular discussion items at the moment, yet speech interaction is limited to “Alexa, turn on the light”, or “Siri, where is the nearest coffee shop?” We are taking speech technology to the next level using our expertise in machine learning and speech-to-text technology to enable our customers to use conversational speech recognition. Our solutions power subtitling on TV, content discovery for videos, compliance solutions in banks, improve efficiency of meetings, and many other use-cases. Our mission is to improve human communication with a global speech engine, that works and put speech back at the heart of communication.
At Speechmatics you’ll be working with some of the smartest minds in the industry, working on cutting-edge projects and deploying the latest machine learning techniques to disrupt the market, providing customers with the best speech technology available, all whilst immersed in a progressive and great company culture. You can enjoy benefits including, share options, healthcare, life assurance, Bike Doctor, massages, regular BBQs, Brew Dogs in the fridge, no red tape, a top end laptop and much more. We’re building a company that truly strives to be world-leading and we’re looking for people who wholeheartedly believe they can be additive to our culture, bring new ideas to the table and get stuff done. If that’s you, carry on reading.
The Opportunity
The Speechmatics Engineering team develops and maintains speech-oriented products and services that will be used by businesses worldwide and is responsible for the complete product development cycle for these products. In this role, you’ll help to support fundamental language processing research as well as helping to build our public cloud-based SaaS service and products that will be deployed by our users in their data centres and cloud instances.
You’ll solve and overcome challenges to deliver a rapidly growing product portfolio. In addition to helping deliver features you will help drive the system architecture as well as contribute towards defining and improving the best practices we employ to develop new features and products. Initially, your primary coding language will be Python, however, you’ll be tasked with helping the team adopt Go as our primary coding language when compiled code is preferred.
Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast-paced environment, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within and across teams.
No prior experience of speech recognition is necessary. Speechmatics has a team of speech recognition engineers who will collaborate on all speech recognition related projects and teach you any specialised knowledge required. This will include opportunities to participate in internal training courses aimed at teaching machine learning theory and practice. If you are a talented, detail-oriented engineer with a solid software development foundation and a commitment to deliver the best possible technology solutions, then we want to hear from you!
Key Responsibilities
Requirements
Essential
Desirable
Salary
Competitive salary (dependent on experience), flexible working and some awesome benefits & perks.
Interested?
Get in touch! Send your CV and covering letter to careers@speechmatics.com.
More about Speechmatics’ culture
Live for the wow | Build authentic relationships | Be the adventure
Innovation is what we do. We build, we iterate, we develop the next thing that delivers that wow moment. We see value in building long-term, authentic relationships that last and are based on trust and honesty. With our customers, our colleagues, our leaders, our suppliers or within our local community. Our journey should be fun and exciting. We will celebrate our successes and learn from our mistakes together along the way. We embrace learning and change to grow naturally and organically as a company and individuals. We trust, we’re honest, kind and respectful.
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