London, UK | TESSIAN | Sequoia-backed machine learning for Human Layer Security | On-Site | Full Time | Visa sponsorship possible | www.tessian.com
Our mission is to keep the world's most sensitive data and systems private and secure, so we're building the world's first Human Layer Security (HLS) platform. We’re a team of mathematicians, data scientists & engineers building breakthrough machine learning and natural language technology to analyse, understand & protect enterprise email networks. We've recently raised a $42m in Series B funding, led by Sequoia. We're hiring for Engineers, Product Managers & Data Scientists at all levels, and our open roles are here: https://jobs.lever.co/tessian
We're looking for Data Scientists & Engineers of all stripes, plus QA & Platform. www.tessian.com/careers
We're looking for a Platform/DevOps Team Lead to join us on our predominantly cloud centric infrastructure. You should be experienced with (and excited by!) ideas like infrastructure as code and "cattle not pets", and be prepared to design, develop and support the various offerings of our system. Because of the sensitive nature of our work flexibility is a must. We deploy to AWS today, but may want to extend to other cloud offerings in the future.
We are looking for an experienced Security Engineer to come in and help take our security processes to the next level. You'll have great coding skills & a breadth of experience, as well as wanting to get your hands dirty and dig in to the workings of our systems.
London, UK | TESSIAN | Sequoia-backed machine learning for Human Layer Security | On-Site | Full Time | Visa sponsorship possible | www.tessian.com
Our mission is to keep the world's most sensitive data and systems private and secure, so we're building the world's first Human Layer Security (HLS) platform. We’re a team of mathematicians, data scientists & engineers building breakthrough machine learning and natural language technology to analyse, understand & protect enterprise email networks. We've recently raised a $42m in Series B funding, led by Sequoia.
We're hiring for Engineers, Product Managers & Data Scientists at all levels, and our open roles are here: https://jobs.lever.co/tessian
We're particularly looking for experienced frontend engineers.
We believe that our product, whilst highly technical, should deliver a best-in-class user experience where complexity is hidden. As a Senior Frontend Engineer, you will play an integral part in rebuilding our portal from the ground up to help us achieve this. You'll be experienced in Javascript and know a good framework. We use React, but Angular of Vue experience is great if you're happy to make a move to React on the job.
TESSIAN | Machine-intelligent filters to secure enterprise communications | London, UK | On-Site | Full Time | Visa sponsorship possible | www.tessian.com
Our mission is to keep the world’s most sensitive data private and secure - to do this we're looking for backend engineers to help build out both our backend platform and machine learning models to support our next stage of growth following our $13m Series A this year.
We're hiring for Python Backend Engineers (all levels) and Applied Data Scientists with 2+ years of production experience.
Tessian couldn't exist without our machine learning models; it’s at the heart of what we do, and it’s what our clients rely on day-to-day. We're looking for data scientists who are excited about the opportunities and challenges that come with researching, building and deploying real-time production models.
We build high volume, low latency data processing for some of the world’s largest organisations. The backend systems power the whole company and our teams have touch points with all of our engineering teams. From deploying data science models in production to integrating with our front end, you'll be involved in projects that span all aspects of the business.
Cirium - London (UK) | Machine Learning Engineer | Full-time onsite [Remote during COVID]
We are a small data science start-up using contextual data (news, festivals, trade fairs, ...) to infer travel behaviour. Cirium, one of the main global data provider in the airline industry, recently aquired us so that we can develop ML products for them.
We are looking for a ML engineer or a data scientist with some engineering experience. Our codebase is in python, we use the standard data libraries (pandas, Sklearn, ...), as well as spacy and a bit of nltk for NLP tasks. Historically we have been doing quite a lot of scraping, and now we also have access to a considerable amount of data through Cirium (and its many friends). The new joiner will be expected to write production code and ideally contribute to architecture choices. So, she/he should be keen to understand and contribute also to the engineering aspect of building data products.
If interested feel free to send me an e-mail including some details of who you are and what you are looking for. You can reach me at `matteo dot pallini hat cirium dot com`
Stealth UK RecruitTech-AI Startup | Data scientist / AI Developer | REMOTE in EU/UK preferred | Part Time (initially)
Skilled AI Engineer sought with knowledge of relevant (Python, PyTorch, LLMs) technologies and a few years (between 1 to 5 years) of relevant experience. Combining technical expertise with an entrepreneurial mindset, the candidate will bring a unique blend of proficiency in AI frameworks, an ability to work independently, and a keen business sense to any project.
This is an opportunity to be part of, work with and also learn from a seasoned team on cutting-edge innovation within a funded Artificial Intelligence start-up based in London (currently in stealth mode) that has recently been awarded grant support from the UK Government through Innovate UK, part of UK Research and Innovation (UKRI), and a role that has strong potential for growth and development in a growing business. The team comprises four senior individuals each with 15-20 year experiences in AI/technology, strategy/finance and product management.
This contract role will commence as soon as possible and have a minimum duration until 30 November 2023 and will be part-time or full-time (to be mutually agreed) and may also be suitable for those considering a short assignment or internship placement. There will be potential opportunity to extend the contract beyond this or consider employment depending on business need and candidate performance. The role is primarily a remote working role, and applications from candidates within the UK or Netherlands, and rest of Europe are preferred although other outstanding candidates from elsewhere in the world may also be considered.
We are looking for someone that has:
A start-up mentality: Approaches challenges with an entrepreneurial spirit, embracing the fast-paced nature of innovation. Iterates quickly through solutions and delivers results with speed and efficiency. Adapts swiftly to changing project requirements and proactively sets the direction to meet his/her objectives.
Technical proficiency: Possesses good understanding of Python, along with relevant frameworks like PyTorch. Able to work with various AI applications, including word embeddings (and similar) and data science models. Experience working with the OpenAI GPT API's is preferred. Well-versed in the full stack of AI development, from acquiring and wrangling data to implementing and fine-tuning sophisticated models.
Business acumen: What sets this profile apart is the ability to complement technical skills with a strong business acumen and common sense. Recognises the importance of aligning AI solutions with practical business goals. Able to translate business requirements relatively independently to his/her own work. Can act as a sparring partner for the team.
Independence: thrives in an autonomous work environment. Makes informed decisions and executes tasks effectively. Possesses the self-discipline and self-motivation necessary to excel without constant supervision, ensuring that projects progress smoothly and efficiently. We offer the ability to work mostly remote.
We encourage you to send your CV and apply even if you don't meet all of the requirements above and have talent and passion for AI technologies. If you think you might be a fit, feel free to reach out for a discussion with a current CV and we can look at the opportunity together. Email is in my profile - thanks for reading!
We are https://elemendar.com/, a fast-growing AI startup in the cyber security space, founded in 2017 at the UK's NCSC Cyber Accelerator. Our current product turns cyber threat reports into machine-readable intelligence, making it faster, cheaper and easier for companies and governments to protect themselves from attacks. We want to build on this and become a leader in the Cyber Threat Intelligence (CTI) market.
We’re looking for a permanent senior Machine Learning Engineer with experience working with graph neural networks (GNNs) to join our growing team and work closely with the CTO to develop and apply techniques to the structured graph of Cyber Threat Intelligence (CTI) produced by our existing products. The role will involve developing and deploying novel graph machine learning algorithms for tasks such as link prediction, node classification, clustering, and subgraph identification on our growing graph of CTI data.
The team has more than doubled this year and we plan to double again next year. We have a mixture of full- and part-time team members, including UK employees as well as contractors (UK & international). We value diversity and welcome candidates from non-traditional backgrounds and under-represented groups in tech. Come and join us!
Aiden.ai | Software Engineer or Machine Learning Engineer | London, UK | https://aiden.ai | ONSITE
Aiden is the first AI-powered virtual colleague for marketers.
We are a small team of ex-Apple, Facebook, Palantir and our investors/advisors include some of the best researchers/engineers in AI.
At Aiden.ai we are solving difficult problems in data analysis, anomaly detection, Natural Language Understanding, prediction, and data normalization. We are looking for rockstar engineers to join our small team to help design and build the core technologies at Aiden.
Calipsa is building a Deep Learning platform for video monitoring and analysis.
We are a small team of 10 (9 different nationalities!) and comprised of academics from Cambridge, Imperial and UCL.
We are looking for JS engineers with the "get it done" mindset to add to our growing team.
Culture
Fast paced - we like people who take ownership and have the get-it-done mindset
No bureaucracy - you pick your working hours, unlimited holidays, etc.
Innovative - always challenge the status quo
Collaboration and knowledge sharing - code reviews / regular talks
Fun! We have regular team lunches/dinners/activities and always good lunchtime chat
Technologies
Programming languages: Javascript, Python
ML platform: Tensorflow
Cloud platforms: AWS, GCP
Containers: Docker, Kubernetes
Version control: git
Please send resume / github to rashid.khan@calipsa.io for details.
Mimica.ai | London, UK | Data Scientist, Computer Vision Engineer | ONSITE | VISA | Full-time
We are building AI that learns to automate repetitive manual computer tasks. We're a team of data scientists, neuroscientists, physicists, mathematicians, and computer scientists. Our clients include Dell, Citi, Deloitte, and Uber.
1. Quickly understanding processes that hundreds of people execute each day is a hair-on-fire problem in big companies
2. Today we generate process maps and analytics. Next year we will begin work to automatically take over these processes - i.e. at the click of a button, workers will be able to hand off the most repetitive parts of their work to our software, which will seamlessly take over
Our roadmap is littered with meaty data science problems, and the success of our company depends on solving them. If this is what you're looking for, we'd love to hear from you! Send us an email at tuhin [at] [our domain].
ATLAS ML | London, UK | Full Stack Developer | Remote | FULL-TIME
Our mission is to systemise the world's deep learning knowledge.
We are building a discovery platform and tooling for deep learning that links ideas with implementations, and allows everyone to access and apply the state of the art in AI. We are a team of researchers and engineers from the University of Cambridge, and our founders include an early core developer at Wikipedia and an open source machine learning developer.
We are looking for a full stack developer to help us develop our popular and growing platform. Our tech is built on Python (Django) and React. Additionally we have a number of other roles - including product and advocacy roles.
Company: Enlitic http://www.enlitic.com/
Location: San Francisco
REMOTE is fine if you're happy to visit regularly :)
If you have world-class machine learning, math, programming, stats, or physics skills, and want to use them to positively impact a billion people, please read this. We believe that what we're working on is the biggest financial and social impact opportunity in the world today.
Enlitic uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible. Founded by Kaggle's past president and chief scientist (that's me!), its mission is to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of what form they are in - such as medical images, doctors' notes, and structured lab tests. To realize this vision, we are building on state-of-the-art deep learning algorithms and partnering with top research hospitals and medical device manufacturers. We've raised $5m funding and have a small team of 10 applied machine learning experts.
No medical or life sciences background is necessary. We are looking for people that have an in depth understanding of linear algebra, convex optimization, algorithm design, and software engineering, to join us us data scientists and engineers. Python, C++, and CUDA experience is helpful - but the proven ability to learn quickly is more important. We're also looking for MD/PhDs with physics or comp sci backgrounds to help us brings the worlds of medicine and machine learning together.
Have a look at our team to see whether you think you might be a good fit http://www.enlitic.com/team.html . We're interested in building a diverse team, so if you don't fit the standard Bay Area "ninja rock star programmer" mold - great!
Calipsa | Machine Learning Engineer | London | ONSITE
Calipsa is a VC backed startup in London that is building a platform to automate video based inspection tasks that require people to watch camera feeds (e.g. traffic surveillance, quality assurance in factories etc.)
We are hiring for
1. Machine Learning Engineers - Experience with CNNs, RNNs and the likes
2. Devops - Experience building distributed data processing pipelines (bonus for points for ML on video/ image content)
Anon AI | Data Scientist (machine learning, data classification) | London, UK | REMOTE, https://anon.ai
We're using AI to automate data anonymisation. We're looking for a data scientist to improve our automatic classification system.
We're a UCL AI spin out. You'll be collaborating with specialist AI and privacy researchers and an experienced generalist development team.
We basically ingest arbitrary data (usually structured -- think sql dump files), normalise it, classify it and then anonymise it. One of our core challenges is to develop our classifier into an expert system that learns whilst preserving privacy in the training data.
We envisage that you've got a relevant degree and some professional experience working with data pipelines and machine learning based data classification. An interest in privacy and anonymisation would be great.
We're based in London. We just raised a seed round from four leading early stage VC funds. You'll be employee #3.
This is a remote role (we're a remote-first development team), although you will need to spend some face time in London every so often.
If this sounds interesting, drop me an email on thruflo@anon.ai explaining why along with your CV and / or profile links.
Sift Science is bringing machine learning to the masses. Our initial product is a hosted model to detect fraud online. Fraud is a huge, difficult problem because the bad guys are getting more and more sophisticated: just in the last month, they've hit our customers with money laundering schemes, used botnets to script mass creation of dummy accounts, set up fake Twilio numbers to fool SMS verification, and more. We're helping our customers fight back, and have huge plans beyond fraud.
We're a 5-person team of ex-Google and ex-Zillow engineers, and we're looking to hire engineers with expertise in machine learning, data mining, visualization, and large-scale distributed systems. Our stack includes Hadoop, Rails, d3.js, MongoDB, etc.
If that sounds exciting, send us a resume at jobs@siftscience.com.
Software Engineer / Data Scientist | London, UK | ONSITE | https://www.aiden.ai/
Help us define the future of work with our AI powered Data Analyst. Aiden is democratizing data science, giving non-technical user acquisition analysts the tools to manipulate data science algorithms. We're a small and young company that's growing both our product and our team quickly. Typescript + Python.
Head of AI / Data @ Atrium here. Just want to second Justin's comment. Its insanely exciting what we're doing and if you're into NLP and ML, I'd love to talk to you. Come to https://www.atrium.co/careers/ and we'll get back to you.
Generally Intelligent is an AI research company. Our mission is to build human-like general intelligence and make it safely accessible in order to foster a more abundant, unconstrained, and equitable society. We take a first-principles approach, starting from simple self-supervised architectures and evolving them to tackle human developmental milestones of increasing complexity.
If you’re remote, see the Machine Learning Engineer role: https://jobs.lever.co/generallyintelligent/9411e2ec-502a-403f-a39a-0d44c676b6af
If you want to be onsite in SF, see the Machine Learning Research Engineer role: https://jobs.lever.co/generallyintelligent/c2f4a435-1eef-489a-9972-fba95e4a0296
Our YC jobs page is here: https://www.ycombinator.com/companies/generally-intelligent
Layer 6 (layer6.ai), Machine Learning Engineer, Toronto
We're looking for two data scientists with deep learning experience to join our team. You will have either a PhD or Masters degree from a relevant field or significant industry experience in recommender systems, NLP and deep learning.
Positions: Front End, Data Science / Machine Learning, Full Stack, Ops
If you have world-class machine learning, math, programming, stats, or physics skills, and want to use them to positively impact a billion people, please read this. We believe that what we're working on is the biggest financial and social impact opportunity in the world today. Enlitic uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible. Founded by Kaggle's past president and chief scientist, its mission is to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of what form they are in - such as medical images, doctors' notes, and structured lab tests. To realize this vision, we are building on state-of-the-art deep learning algorithms and partnering with top research hospitals and medical device manufacturers. We've raised $5m funding and have a small team of 14 applied machine learning researchers and commercialization experts.
If you're interested in playing with cool hardware and data, we're a great place to come. We use a cluster of hundreds of Tesla K80 GPUs, and have many millions of medical images - some single images are over 10GB in size. Many are 3d, which makes for some really interesting engineering challenges.
We use a wide range of tools and languages, including Python (Theano, Pandas/Numpy/etc, Flask), Meteor, CoffeeScript, and C++ (Caffe). We have regular journal club talks (mainly recent deep learning papers), and a good mix of research and applied work. Our day to day work covers a lot of cancer detection and treatment planning, as well as a wide range of other high impact medical issues - the consistent underlying theme is using a data-driven approach to improving patient outcomes. There are particularly big opportunities (both financial and social impact) in the developing world. We're working with many of the top academics in the medical diagnostics field, and are partnering with some of the top hospitals around the country and around the world. We are looking for people that have an in depth understanding of linear algebra, convex optimization, algorithm design, and software engineering, to join us as data scientists, full stack and frontend engineers, and dev ops engineers. No medical or life sciences background is necessary. Python, C++, and CUDA experience is helpful - but the proven ability to learn quickly is more important. We're also looking for MD/PhDs with physics or comp sci backgrounds to help us brings the worlds of medicine and machine learning together.
Have a look at our team to see whether you think you might be a good fit http://www.enlitic.com/team.html . We're interested in building a diverse team, so if you don't fit the standard Bay Area "ninja rock star programmer" mold - great! For more background on the company and technology, see our founder's TED.com talk here http://www.ted.com/talks/jeremy_howard_the_wonderful_and_ter.... . For more information about careers and how to apply, see http://www.enlitic.com/careers.html or https://angel.co/enlitic/. If you're not sure whether you have the right skills or background, just shoot us an email anyway and we can figure that out together...
Positions: Front End, Data Science / Machine Learning, Full Stack, Ops
If you have world-class machine learning, math, programming, stats, or physics skills, and want to use them to positively impact a billion people, please read this. We believe that what we're working on is the biggest financial and social impact opportunity in the world today. Enlitic uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible. Founded by Kaggle's past president and chief scientist, its mission is to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of what form they are in - such as medical images, doctors' notes, and structured lab tests. To realize this vision, we are building on state-of-the-art deep learning algorithms and partnering with top research hospitals and medical device manufacturers. We've raised $5m funding and have a small team of 14 applied machine learning researchers and commercialization experts.
If you're interested in playing with cool hardware and data, we're a great place to come. We use a cluster of hundreds of Tesla K80 GPUs, and have many millions of medical images - some single images are over 10GB in size. Many are 3d, which makes for some really interesting engineering challenges. We use a wide range of tools and languages, including Python (Theano, Pandas/Numpy/etc, Flask), Meteor, CoffeeScript, and C++ (Caffe). We have regular journal club talks (mainly recent deep learning papers), and a good mix of research and applied work. Our day to day work covers a lot of cancer detection and treatment planning, as well as a wide range of other high impact medical issues - the consistent underlying theme is using a data-driven approach to improving patient outcomes. There are particularly big opportunities (both financial and social impact) in the developing world. We're working with many of the top academics in the medical diagnostics field, and are partnering with some of the top hospitals around the country and around the world. We are looking for people that have an in depth understanding of linear algebra, convex optimization, algorithm design, and software engineering, to join us as data scientists, full stack and frontend engineers, and dev ops engineers. No medical or life sciences background is necessary. Python, C++, and CUDA experience is helpful - but the proven ability to learn quickly is more important. We're also looking for MD/PhDs with physics or comp sci backgrounds to help us brings the worlds of medicine and machine learning together.
Have a look at our team to see whether you think you might be a good fit http://www.enlitic.com/team.html . We're interested in building a diverse team, so if you don't fit the standard Bay Area "ninja rock star programmer" mold - great! For more background on the company and technology, see our founder's TED.com talk here http://www.ted.com/talks/jeremy_howard_the_wonderful_and_ter...
For more information about careers and how to apply, see http://www.enlitic.com/careers.html or https://angel.co/enlitic/. If you're not sure whether you have the right skills or background, just shoot us an email anyway and we can figure that out together...
Our mission is to keep the world's most sensitive data and systems private and secure, so we're building the world's first Human Layer Security (HLS) platform. We’re a team of mathematicians, data scientists & engineers building breakthrough machine learning and natural language technology to analyse, understand & protect enterprise email networks. We've recently raised a $42m in Series B funding, led by Sequoia. We're hiring for Engineers, Product Managers & Data Scientists at all levels, and our open roles are here: https://jobs.lever.co/tessian
We're looking for Data Scientists & Engineers of all stripes, plus QA & Platform. www.tessian.com/careers
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Select Roles
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Platform Team Lead - Read more & apply here: https://jobs.lever.co/tessian/ab892f45-8037-4daf-981f-59bb6d...
We're looking for a Platform/DevOps Team Lead to join us on our predominantly cloud centric infrastructure. You should be experienced with (and excited by!) ideas like infrastructure as code and "cattle not pets", and be prepared to design, develop and support the various offerings of our system. Because of the sensitive nature of our work flexibility is a must. We deploy to AWS today, but may want to extend to other cloud offerings in the future.
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Security Engineer - Read more & apply here: https://jobs.lever.co/tessian/194975bf-8a5e-4772-8292-da34dc...
We are looking for an experienced Security Engineer to come in and help take our security processes to the next level. You'll have great coding skills & a breadth of experience, as well as wanting to get your hands dirty and dig in to the workings of our systems.
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