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Currently hiring for 5 jobs
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Software Engineer
Unlikely AI
London
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

The company has raised a large ($20m) seed round reflecting the excitement investors have in the technology, team and potential of the business. We are looking to build a world-class technology team to realise the extraordinary possibilities of what we are doing. We are building an extremely exciting AI platform and associated applications using novel and potentially revolutionary techniques.

We are looking for extremely smart and dedicated software developers of all levels of experience to help solve some very difficult engineering problems.

Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.

Required:
Degree within a related field, Computer Science, Engineering, Physics, Maths or equivalent
Experience within commercial software engineering (or extensive experience if applying for a more senior role)
Exceptional coding ability
Desire to solve really difficult software engineering problems
Ability or desire to learn and code in Java
Understanding of modern best practices for agile software development
Understanding of the architectural techniques needed to build massively-scalable systems

Desirable but not required:
4+ years of experience with Java
Experience of AWS and building scalable systems within it
Experience and ability coding in Python and C++
Understanding of the state-of-the-art in Artificial Intelligence
Understanding of modern machine-learning techniques

Location:
We are based in London. After two years of operating completely remotely during COVID we are now operating a hybrid regime where we have an office near Holborn tube station which is available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using slack and zoom.

Compensation:
Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.

Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Full-time
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Principal Engineer
Unlikely AI
London
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

The company has raised a large ($20m) seed round reflecting the excitement investors have in the technology, team and potential of the business. We are looking to build a world-class technology team to realise the extraordinary possibilities of what we are doing.
We are building an extremely exciting AI platform and associated applications using novel and potentially revolutionary techniques.

We are looking for an extremely smart and dedicated Principal Engineer to drive technical expertise, engineering best practices and solve significantly complex technical problems. You will be responsible for driving clarity, technical innovation and effectively influencing technology direction and decisions. This is an excellent opportunity to have a huge impact on shaping best in class engineering across the company in an individual contributor capacity.

Required:
- Extensive software engineering experience, with exceptional coding ability ideally including experience in high-growth start-ups.
- Ideally 5+ years of experience leading technical projects as an individual contributor, projects with mission critical impact, working cross-team and cross-organisation where required and executing on delivery.
- Demonstrable success in solving complex technical problems.
- Exceptional at providing feedback, and a strong mentor to others, able to educate on expertise.
- Demonstrable success in ensuring the highest quality of architecture and design of systems. 
- Expert knowledge and experience of using architectural techniques to build massively-scalable systems - or systems which can become massively scalable.
- Expertise in best practices for agile software development.
- Ability and desire to learn new technologies quickly and work in a fast paced start-up environment.
- Exceptional verbal and written communication skills.

Location:
We are based in London. After two years of operating completely remotely during COVID we are now operating a hybrid regime where we have a small office near Holborn tube station which is available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using slack and zoom.


Compensation:
Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.

Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We therefore do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.



Full-time
Senior
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Software Engineer (Front End focused)
Unlikely AI
London
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

The company has raised a large ($20m) seed round reflecting the excitement investors have in the technology, team and potential of the business. We are looking to build a world-class technology team to realise the extraordinary possibilities of what we are doing.

This is a key opportunity to join us and make a significant impact on the fortunes of the business and help define the company, culture, product and software engineering practices. As a key member of the team, you will play a vital role in leading the frontend stack. Your main responsibilities will focus on shaping functionality, optimising user experience and overseeing the development process to achieve exceptional results. 

Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.

Required:
Exceptional coding ability Degree within a related field, Computer Science, Engineering, Physics, Maths or equivalent
4+ years of commercial experience in software engineering (Preferably Front End focused) 
Experience and ability coding in Typescript and React
Desire to solve really difficult software engineering problems
Understanding of modern best practices for agile software development
Understanding of the architectural techniques needed to build massively scalable systems 

Desirable but not required: 
Ability or desire to learn and code in Java
Experience with AWS and building scalable systems within it 
Understanding of state-of-the-art in Artificial Intelligence
Understanding of modern machine learning techniques

Compensation:
This will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.

Location:
We are based in London. After two years of operating completely remotely during COVID, we are now operating a hybrid regime where we have an office near Holborn tube station which is available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.

Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Full-time
Mid Level
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Chief Engineering Officer
Unlikely AI
London
Chief Engineering Officer

Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

This is a start-up which can realistically change what is possible for software if we succeed and much of what we need to prove comes under the heading of engineering: scaling and innovating to turn the technology we have developed into magical products that will positively affect the lives of billions of people.
 
The company has recently closed an oversubscribed $20m round and one of our first tasks is building our world-class engineering team to solve those problems and build those products. To do this requires an exceptional engineering leader to build and lead this team and the company to success.

Reporting directly to the CEO, this is the role which can be most influential on our success and will be responsible for much of the headcount and thought leadership with a focus on management and delivery of world class technical talent and technology strategy.

Compensation will be through significant cash compensation and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) where no tax is due in the UK on the issuing, vesting or exercising of options. This scheme allows us to provide substantial exposure to the success of the company without taxes being paid before sale of the shares.
  
Key requirements:
Experience building and managing a world-class engineering team in a fast growing, deeply technical, successful start-up.
Proven credentials delivering thought leadership in an innovative and ambitious software venture
Deep understanding of how to find, inspire, motivate and retain top engineering talent.
Deep understanding of how to manage a world-class engineering team to deliver world-changing products and overcome technical barriers.
Understanding of the state-of-the-art in Artificial Intelligence and modern machine-learning techniques.
Genuine 'think big' mentality - unafraid to shoot for extraordinary outcomes (in a step-by-step fashion)
Tolerance for ambiguity and substantial technical risk.
Deeply knowledgeable about best practice for running world-class engineering teams in an early start-up
Ability to contribute more broadly to our success by being a key member of our management team.
Someone fully on board with and enthusiastic about our culture and principles
 
Desirable requirements:
Strong academic background: graduate of a top university
Familiarity with our technical stack: Java + Spring Boot; Typescript + React; MongoDB + Elasticsearch + Redis; AWS

Location:
We are currently working hybrid with an office in central London (opposite Holborn tube station) transitioning from more than two years when we were fully remote during covid. Things are still evolving but we are heading towards a regime where teams will be required to be present in the office at least one day per week, where the office space is also available for anyone who wants it and with remote/zoom/slack work being done at other times. For this we require the candidate to be or relocate within commuting distance of central London. We will enthusiastically consider candidates from all over the world however and if you do not currently have the right to work in the UK we have visa sponsor status and will assist in obtaining you a visa.
Full-time
Senior
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Data Engineer
Unlikely AI
London
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. By taking a contrarian approach, we believe our technology can solve some of the most pressing problems facing the industry. Based in London, the company was founded by William Tunstall-Pedoe, best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012.

The company has raised a large ($20m) seed round reflecting the excitement investors have in the technology, team and potential of the business. We are looking to build a world-class technology team to realise the extraordinary possibilities of what we are doing.

Please see our Company Principles to understand the core things we value – in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact.

As a Data Engineer at Unlikely AI, you will be working closely with our Applied Science & Engineering team(s), designing ETL jobs & architectures to support their modelling needs and power our platform. We are looking for someone to take ownership of our data pipelines and processes, and champion best practice. You will likely be experienced in working in a cross-functional environment with other Software Engineers, Research Engineers and Applied Scientists.
 

Required:
Degree within a related field, Computer Science, Engineering, Physics, Maths or equivalent
Exceptional coding ability (Python/Java)
Understanding of modern best practices for agile software development, such as CI/CD experience (GitHub actions, CircleCI etc)
Understanding of the architectural techniques needed to build massively scalable data pipelines/meshes
Experience working with orchestration tools: (Apache Airflow, Kubeflow, VertexAI, SageMaker pipelines etc) & Apache Technologies or equivalents (E.g: Kafka, Airflow, Spark, Parquet etc.)
Experience working closely with data science teams & understanding the data needs for state-of-the-art Artificial Intelligence
 
Desirable:
4+ years of experience in data engineering or related field
Data feature enrichment, such as augmenting NLP data with LLMs output Data analysis & visualisation skills
Experience building scalable containerised systems in AWS/GCP/Azure
Experience working with data warehouse tooling (BigQuery, Redshift)
Experience working with Terraform

Location:
We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom.

Compensation:
Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid.

Equal Opportunities:
We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.




Full-time