Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
At Kallikor, we build rich, world-scale synthetic environments by harnessing the latest AI, gaming, and open-source technologies. We empower entire businesses to continually optimise, plan and better prepare for the future by providing a digital representation of their environments that can be visualised, analysed, explored and experimented upon using digital twins and enterprise metaverses. You will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We're motivated by the fulfilment of solving hard problems to achieve something profound and transformative. Our legacy is steeped in cutting-edge technology and strategic insight developed for the entertainment, gaming, defence sectors and beyond. Read more at kallikor.ai . As CTO, you will lead a multidisciplinary technical team and oversee the development of our AI and digital twin platform. You will ensure our technology's scalability, efficiency, and continuous innovation. This role will require you to align technical efforts with business objectives, support fundraising, and help position the company for long-term success. Your Opportunity: Technical Leadership Lead the design, development, and deployment of Kallikor's AI-driven digital twin platform, ensuring scalability, efficiency, and innovation. Oversee architecture, design, and implementation, balancing short-term deliverables with long-term goals. Guide and support a collaborative technical team, fostering a culture of innovation and continuous learning. Work closely with data scientists, AI experts, and key stakeholders to optimise and enhance product offerings. Stay informed on industry trends and emerging technologies to ensure Kallikor maintains a competitive edge. Fundraising & Strategic Direction Collaborate with the CEO and leadership team to define a technology vision and strategy that supports business growth and aligns with investor expectations. Provide technical expertise during fundraising efforts, demonstrating our solutions' scalability and competitive advantage. Lead technical due diligence processes and articulate the value of our technology to investors and strategic partners. Product Development Partner with the product management team to ensure technology development meets market demands and creates business value. Contribute to strategic decisions around product development, partnerships, and market positioning. Ensure alignment between technology initiatives and business objectives, driving revenue growth and customer satisfaction. Operational Excellence Implement best practices for software development, data management, cloud infrastructure, and security protocols. Establish and monitor key performance indicators (KPIs) for the technical team, consistently meeting product timelines and quality standards. Scale the technology infrastructure to support business growth and an expanding customer base. Why You're Made for This: Experience in a senior technical leadership role (e.g., VP of Engineering, CTO, or similar), focusing on AI, simulation, or digital twin technologies. Experience in fundraising, particularly with venture capital, and leading technical discussions during due diligence processes. Expertise in cloud-based SaaS architecture, AI/ML technologies, and advanced simulation software, with the ability to bridge real-world data and predictive modelling. Experience deploying complex mathematical models, simulations, and algorithms to address real-world challenges. Familiarity with supply chain, logistics, or manufacturing industries is a plus, but we welcome candidates from diverse industry backgrounds. Hands-on experience with relevant programming languages (e.g., Python, R, Java) and managing large-scale product rollouts with modern CI/CD tooling. A background in enterprise software development and an understanding of the challenges faced by industries like supply chain, logistics, or manufacturing. Advanced degrees or equivalent practical experience in computer science, engineering, or related technical fields. Leadership and Strategy Ability to align technology strategy with business objectives and scale a high-growth company. Expertise in managing the full lifecycle of complex software products, particularly AI and simulation-driven platforms. Ability to identify and implement emerging technologies that drive product and market leadership. Alignment Passionate about using technology to solve industry challenges and contribute to societal transformation, which is in line with Kallikor's vision. A supportive leader who is a mentor and can motivate teams towards shared goals and fosters a culture of innovation, learning, and collaboration. What We Offer: A dynamic, high-growth environment at the forefront of AI and digital twin technology. The opportunity to shape a company's future that is transforming an entire industry. A collaborative team that values innovation, teamwork, and a shared vision for positive change. Remote work with flexible travel as needed for business and team collaboration. Competitive salary, equity, and performance-based bonuses. While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply. About Us Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success. We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status. If you require any reasonable adjustments as part of your application process or would like to confidentially discuss the matter, then please do let us know in the Additional Information section of your application.
10/02/2025
Full time
At Kallikor, we build rich, world-scale synthetic environments by harnessing the latest AI, gaming, and open-source technologies. We empower entire businesses to continually optimise, plan and better prepare for the future by providing a digital representation of their environments that can be visualised, analysed, explored and experimented upon using digital twins and enterprise metaverses. You will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We're motivated by the fulfilment of solving hard problems to achieve something profound and transformative. Our legacy is steeped in cutting-edge technology and strategic insight developed for the entertainment, gaming, defence sectors and beyond. Read more at kallikor.ai . As CTO, you will lead a multidisciplinary technical team and oversee the development of our AI and digital twin platform. You will ensure our technology's scalability, efficiency, and continuous innovation. This role will require you to align technical efforts with business objectives, support fundraising, and help position the company for long-term success. Your Opportunity: Technical Leadership Lead the design, development, and deployment of Kallikor's AI-driven digital twin platform, ensuring scalability, efficiency, and innovation. Oversee architecture, design, and implementation, balancing short-term deliverables with long-term goals. Guide and support a collaborative technical team, fostering a culture of innovation and continuous learning. Work closely with data scientists, AI experts, and key stakeholders to optimise and enhance product offerings. Stay informed on industry trends and emerging technologies to ensure Kallikor maintains a competitive edge. Fundraising & Strategic Direction Collaborate with the CEO and leadership team to define a technology vision and strategy that supports business growth and aligns with investor expectations. Provide technical expertise during fundraising efforts, demonstrating our solutions' scalability and competitive advantage. Lead technical due diligence processes and articulate the value of our technology to investors and strategic partners. Product Development Partner with the product management team to ensure technology development meets market demands and creates business value. Contribute to strategic decisions around product development, partnerships, and market positioning. Ensure alignment between technology initiatives and business objectives, driving revenue growth and customer satisfaction. Operational Excellence Implement best practices for software development, data management, cloud infrastructure, and security protocols. Establish and monitor key performance indicators (KPIs) for the technical team, consistently meeting product timelines and quality standards. Scale the technology infrastructure to support business growth and an expanding customer base. Why You're Made for This: Experience in a senior technical leadership role (e.g., VP of Engineering, CTO, or similar), focusing on AI, simulation, or digital twin technologies. Experience in fundraising, particularly with venture capital, and leading technical discussions during due diligence processes. Expertise in cloud-based SaaS architecture, AI/ML technologies, and advanced simulation software, with the ability to bridge real-world data and predictive modelling. Experience deploying complex mathematical models, simulations, and algorithms to address real-world challenges. Familiarity with supply chain, logistics, or manufacturing industries is a plus, but we welcome candidates from diverse industry backgrounds. Hands-on experience with relevant programming languages (e.g., Python, R, Java) and managing large-scale product rollouts with modern CI/CD tooling. A background in enterprise software development and an understanding of the challenges faced by industries like supply chain, logistics, or manufacturing. Advanced degrees or equivalent practical experience in computer science, engineering, or related technical fields. Leadership and Strategy Ability to align technology strategy with business objectives and scale a high-growth company. Expertise in managing the full lifecycle of complex software products, particularly AI and simulation-driven platforms. Ability to identify and implement emerging technologies that drive product and market leadership. Alignment Passionate about using technology to solve industry challenges and contribute to societal transformation, which is in line with Kallikor's vision. A supportive leader who is a mentor and can motivate teams towards shared goals and fosters a culture of innovation, learning, and collaboration. What We Offer: A dynamic, high-growth environment at the forefront of AI and digital twin technology. The opportunity to shape a company's future that is transforming an entire industry. A collaborative team that values innovation, teamwork, and a shared vision for positive change. Remote work with flexible travel as needed for business and team collaboration. Competitive salary, equity, and performance-based bonuses. While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply. About Us Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success. We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status. If you require any reasonable adjustments as part of your application process or would like to confidentially discuss the matter, then please do let us know in the Additional Information section of your application.
A Senior Data Scientist is required for an established online fashion brand, who has seen strong growth in revenues and new markets in last 2 years. Whtat's great about this Senior Data Scientist role ? You get the opportunity to join an established data science team developing some of the most advanced products in the industry The company is rich in untapped customer data offering huge opportunities to create value You will work closely with world class engineers to develop a new data warehouse Budget and bandwidth available to develop new products and services utilise the best commercial software Working directly with the CMO & Chief Data Scientist, and also the founder of the business (an MIT grad!) You will need to be a top class Statistician Python, SQL, R You will likely have done a very numerate degree or master. You may even have a Quantitative PhD You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them Experience of working in a Pricing capability would be advantageous The Senior Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field. The Senior Data Scientist will join an established brand that is growing rapidly. Click on the link to apply now for the Senior Data Scientist role.
10/02/2025
Full time
A Senior Data Scientist is required for an established online fashion brand, who has seen strong growth in revenues and new markets in last 2 years. Whtat's great about this Senior Data Scientist role ? You get the opportunity to join an established data science team developing some of the most advanced products in the industry The company is rich in untapped customer data offering huge opportunities to create value You will work closely with world class engineers to develop a new data warehouse Budget and bandwidth available to develop new products and services utilise the best commercial software Working directly with the CMO & Chief Data Scientist, and also the founder of the business (an MIT grad!) You will need to be a top class Statistician Python, SQL, R You will likely have done a very numerate degree or master. You may even have a Quantitative PhD You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them Experience of working in a Pricing capability would be advantageous The Senior Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field. The Senior Data Scientist will join an established brand that is growing rapidly. Click on the link to apply now for the Senior Data Scientist role.
We are looking for a Senior Data Engineer to join our Knowledge Representation Team! Reporting to the team's Engineering Manager, you will evolve BenchSci's Knowledge Graph, integrate public life science data into our biological ontology, iterate on data models in various data stores including graph DB, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you'll collaborate with a world-class team, experience growth and mentorship, and apply data engineering solutions to shape the future of scientific discovery. You Will: Scale data pipelines to allow our data to go from research to platform quickly and reliably Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci's Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results Seek out leadership opportunities and act as a Technical DRI (directly responsible individual) on multiple projects/epics Design testable, scalable solutions to complex problems using the latest frameworks and tools Use your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environment Write and review engineering design proposals in accordance with BenchSci's engineer best practices Contribute to your team's processes including sprint planning, task estimation, and code review Work both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problems Be given an unmatched opportunity for growth, and to learn from a team of outstanding engineers Liaise closely with stakeholders from other functions including product and science Feel challenged and engaged as you're exposed to new opportunities to require you to push yourself You Have: Degree in Software Engineering, Computer Science, or a similar area 5+ years of experience working as a professional data engineer in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services A strong background in data modeling, data structures, and large-scale data manipulation/transformations A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g., machine learning) Outstanding verbal and written communication skills Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams Experience executing as part of high-performance engineering teams using industry-standard software delivery practices Proficient with agile processes (sprint planning, estimation, retros, standups, etc.) Ideally, you have worked in the scientific/biological domain with scientists on your team A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
10/02/2025
Full time
We are looking for a Senior Data Engineer to join our Knowledge Representation Team! Reporting to the team's Engineering Manager, you will evolve BenchSci's Knowledge Graph, integrate public life science data into our biological ontology, iterate on data models in various data stores including graph DB, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you'll collaborate with a world-class team, experience growth and mentorship, and apply data engineering solutions to shape the future of scientific discovery. You Will: Scale data pipelines to allow our data to go from research to platform quickly and reliably Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci's Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results Seek out leadership opportunities and act as a Technical DRI (directly responsible individual) on multiple projects/epics Design testable, scalable solutions to complex problems using the latest frameworks and tools Use your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environment Write and review engineering design proposals in accordance with BenchSci's engineer best practices Contribute to your team's processes including sprint planning, task estimation, and code review Work both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problems Be given an unmatched opportunity for growth, and to learn from a team of outstanding engineers Liaise closely with stakeholders from other functions including product and science Feel challenged and engaged as you're exposed to new opportunities to require you to push yourself You Have: Degree in Software Engineering, Computer Science, or a similar area 5+ years of experience working as a professional data engineer in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services A strong background in data modeling, data structures, and large-scale data manipulation/transformations A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g., machine learning) Outstanding verbal and written communication skills Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams Experience executing as part of high-performance engineering teams using industry-standard software delivery practices Proficient with agile processes (sprint planning, estimation, retros, standups, etc.) Ideally, you have worked in the scientific/biological domain with scientists on your team A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
We are expanding the AI capabilities of our company and are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations. If you have a passion for leveraging generative models and are excited about implementing cutting-edge AI solutions, we'd love to have you join our team! You'll collaborate with experienced developers, data scientists, and product managers to shape the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation. Key Responsibilities Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations. Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms). Implement and fine-tune large language models (LLMs) for domain-specific data analysis tasks. Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System. Stay current with the latest AI research and apply novel techniques to solve complex problems. Requirements MSc or PhD in Data Science, AI, ML, or Computer Science. 5+ years of experience in applied AI, with a focus on natural language processing and data analysis. Experience with generative models, large language models (LLMs), and entity resolution. Experience with LangChain or similar frameworks for building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders. Preferred Qualifications Experience with graph databases and knowledge graphs. Familiarity with business intelligence tools and data warehousing concepts. Background in semantic parsing or natural language-to-SQL translation. Next Steps Interested in the vacancy? We encourage a diverse workforce and welcome applications from all communities.
10/02/2025
Full time
We are expanding the AI capabilities of our company and are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations. If you have a passion for leveraging generative models and are excited about implementing cutting-edge AI solutions, we'd love to have you join our team! You'll collaborate with experienced developers, data scientists, and product managers to shape the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation. Key Responsibilities Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations. Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms). Implement and fine-tune large language models (LLMs) for domain-specific data analysis tasks. Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System. Stay current with the latest AI research and apply novel techniques to solve complex problems. Requirements MSc or PhD in Data Science, AI, ML, or Computer Science. 5+ years of experience in applied AI, with a focus on natural language processing and data analysis. Experience with generative models, large language models (LLMs), and entity resolution. Experience with LangChain or similar frameworks for building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders. Preferred Qualifications Experience with graph databases and knowledge graphs. Familiarity with business intelligence tools and data warehousing concepts. Background in semantic parsing or natural language-to-SQL translation. Next Steps Interested in the vacancy? We encourage a diverse workforce and welcome applications from all communities.
At AlphaSights, we search through more than 500 million professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organisations. Our mission is to provide access to dispersed, hidden, and underutilised knowledge. We've made terrific progress working in this new space, but we've only just scratched the surface on how we can apply technology to this problem. We believe that expertise can be transformative, and this view extends to the people we bring into our engineering organisation. You'll be a key member of one of our multidisciplinary innovation pods, leveraging your unique experience and expertise to make creative contributions to both our product and technical platform. What will I be doing? As a Data Engineer you will: Design, develop, deploy and support data infrastructure, pipelines and architectures. Take ownership of reporting APIs, ensuring they are designed, developed, and maintained to provide accurate and timely insights for stakeholders. Take ownership of the DataOps. Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high-performance solutions and assure data quality and availability. Have a high degree of autonomy and ownership on projects, while the wider team is being built, towards working within a highly collaborative and supportive team of Data Engineers, Data Scientists and Software and Platform Engineers. Work directly with stakeholders and teams to fully understand the business problems and translate it to a data-driven solution. Work across the company to not only ingest and unlock value in data, but also help guide the data generation process itself. We are a data-centric team. Grow our team by bringing your unique expertise to one of our global technical guilds, and mentoring engineers in your pod. Benefit from AlphaSights' platform, giving you access to world-class experts to help inform your technical solution. What skills do I need? 5+ years of hands-on data engineering development. You can demonstrate the significant impact that your work has had. Expert in Python and SQL. Experience with SQL/NoSQL databases. Experienced with AWS data services. Proficiency in DataOps methodologies and tools with experience in implementing CI/CD pipelines and managing containerized applications. Proficiency in workflow orchestration tools such as Apache Airflow. Experience designing, building and maintaining Data Warehouses. Experience working in a collaborative environment with other functional experts (e.g. other engineering teams, product, design, data science, domain experts). Knowledge of ETL frameworks and best practices. Bonus: Knowledge of Big Data processing/analytical frameworks (i.e. Spark, Trino and Hive). Bonus: Knowledge of messaging queue systems and data streaming tools and frameworks. Bonus: Experience with Terraform. Self-motivated, able to self-improve, learn new and complex technologies. A laser focus on delivering value to your users. Benefits & other nice things Time to learn, and flex your creative muscles in an unconstrained environment. Generous learning budget to spend as you want (e.g. books, conferences, courses). Remote, in-office and hybrid working options available. Please speak to the team to learn more about our vision for the future of work at AlphaSights. Regular team events. Best in class Health Insurance. Social responsibility Knowledge for Good. iMentor. AlphaSights is an equal opportunity employer.
10/02/2025
Full time
At AlphaSights, we search through more than 500 million professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organisations. Our mission is to provide access to dispersed, hidden, and underutilised knowledge. We've made terrific progress working in this new space, but we've only just scratched the surface on how we can apply technology to this problem. We believe that expertise can be transformative, and this view extends to the people we bring into our engineering organisation. You'll be a key member of one of our multidisciplinary innovation pods, leveraging your unique experience and expertise to make creative contributions to both our product and technical platform. What will I be doing? As a Data Engineer you will: Design, develop, deploy and support data infrastructure, pipelines and architectures. Take ownership of reporting APIs, ensuring they are designed, developed, and maintained to provide accurate and timely insights for stakeholders. Take ownership of the DataOps. Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high-performance solutions and assure data quality and availability. Have a high degree of autonomy and ownership on projects, while the wider team is being built, towards working within a highly collaborative and supportive team of Data Engineers, Data Scientists and Software and Platform Engineers. Work directly with stakeholders and teams to fully understand the business problems and translate it to a data-driven solution. Work across the company to not only ingest and unlock value in data, but also help guide the data generation process itself. We are a data-centric team. Grow our team by bringing your unique expertise to one of our global technical guilds, and mentoring engineers in your pod. Benefit from AlphaSights' platform, giving you access to world-class experts to help inform your technical solution. What skills do I need? 5+ years of hands-on data engineering development. You can demonstrate the significant impact that your work has had. Expert in Python and SQL. Experience with SQL/NoSQL databases. Experienced with AWS data services. Proficiency in DataOps methodologies and tools with experience in implementing CI/CD pipelines and managing containerized applications. Proficiency in workflow orchestration tools such as Apache Airflow. Experience designing, building and maintaining Data Warehouses. Experience working in a collaborative environment with other functional experts (e.g. other engineering teams, product, design, data science, domain experts). Knowledge of ETL frameworks and best practices. Bonus: Knowledge of Big Data processing/analytical frameworks (i.e. Spark, Trino and Hive). Bonus: Knowledge of messaging queue systems and data streaming tools and frameworks. Bonus: Experience with Terraform. Self-motivated, able to self-improve, learn new and complex technologies. A laser focus on delivering value to your users. Benefits & other nice things Time to learn, and flex your creative muscles in an unconstrained environment. Generous learning budget to spend as you want (e.g. books, conferences, courses). Remote, in-office and hybrid working options available. Please speak to the team to learn more about our vision for the future of work at AlphaSights. Regular team events. Best in class Health Insurance. Social responsibility Knowledge for Good. iMentor. AlphaSights is an equal opportunity employer.
About us Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources in minutes. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our Blog - Causaly . We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. What we are looking for We are looking for a Senior Fullstack Engineer to work on our API and business services. You will be responsible for designing and building scalable, reliable, and maintainable web applications. You will collaborate with our product and research teams to build and ship new features, contributing to all aspects of the development lifecycle, from requirements gathering to deployment and monitoring. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics related technical field, or equivalent practical experience 4+ years work experience with back-end applications Solid understanding of Javascript Familiarity with Node.js Experience with TypeScript Good knowledge of web architecture (URIs, HTTP, Caching, etc) Proficiency in Git version control Familiarity with UNIX terminal Excellent knowledge of English language (verbal and written) Solid understanding of relational databases Preferred Qualifications Experience working with Knowledge Graphs and graph databases, such as Neo4J Experience working with Full-Text search databases, such as ElasticSearch Good understanding of GraphQL Experience working with Docker Experience working with a functional programming language Experience working with AWS or Google Cloud Technology Stack Node.js Typescript Git ElasticSearch Neo4J RxJS React Webpack Benefits Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual training/development budget through Learnerbly Individual wellbeing budget through Juno 25 days holiday plus public holidays and 1 day birthday leave per year Hybrid working (home + office) Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product Diversity and Inclusion Be yourself at Causaly Difference is valued. Everyone belongs. Diversity. Equity. Inclusion. They are more than words at Causaly. It's how we work together. It's how we build teams. It's how we grow leaders. It's what we nurture and celebrate. It's what helps us innovate. It's what helps us connect with the customers and communities we serve. We are on a mission to accelerate scientific breakthroughs for ALL humankind and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
10/02/2025
Full time
About us Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources in minutes. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our Blog - Causaly . We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. What we are looking for We are looking for a Senior Fullstack Engineer to work on our API and business services. You will be responsible for designing and building scalable, reliable, and maintainable web applications. You will collaborate with our product and research teams to build and ship new features, contributing to all aspects of the development lifecycle, from requirements gathering to deployment and monitoring. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics related technical field, or equivalent practical experience 4+ years work experience with back-end applications Solid understanding of Javascript Familiarity with Node.js Experience with TypeScript Good knowledge of web architecture (URIs, HTTP, Caching, etc) Proficiency in Git version control Familiarity with UNIX terminal Excellent knowledge of English language (verbal and written) Solid understanding of relational databases Preferred Qualifications Experience working with Knowledge Graphs and graph databases, such as Neo4J Experience working with Full-Text search databases, such as ElasticSearch Good understanding of GraphQL Experience working with Docker Experience working with a functional programming language Experience working with AWS or Google Cloud Technology Stack Node.js Typescript Git ElasticSearch Neo4J RxJS React Webpack Benefits Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual training/development budget through Learnerbly Individual wellbeing budget through Juno 25 days holiday plus public holidays and 1 day birthday leave per year Hybrid working (home + office) Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product Diversity and Inclusion Be yourself at Causaly Difference is valued. Everyone belongs. Diversity. Equity. Inclusion. They are more than words at Causaly. It's how we work together. It's how we build teams. It's how we grow leaders. It's what we nurture and celebrate. It's what helps us innovate. It's what helps us connect with the customers and communities we serve. We are on a mission to accelerate scientific breakthroughs for ALL humankind and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We're here to change that. As former computer scientists, physicists, and quants, we've experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet-where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable, and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right. Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company. End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design, and architectural decisions, all the way to deployment, monitoring, and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements. Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade-offs are involved in building reliable, performant software at speed. Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent. Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem-solving and thinking from first principles. You're ready to pick up new skills and build quickly. Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go. Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and leveling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate and eager to learn. What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services for enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
10/02/2025
Full time
About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We're here to change that. As former computer scientists, physicists, and quants, we've experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet-where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable, and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right. Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company. End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design, and architectural decisions, all the way to deployment, monitoring, and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements. Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade-offs are involved in building reliable, performant software at speed. Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent. Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem-solving and thinking from first principles. You're ready to pick up new skills and build quickly. Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go. Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and leveling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate and eager to learn. What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services for enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Nansen is a blockchain analytics platform that enriches on-chain data with millions of wallet labels. Crypto investors use Nansen to discover opportunities, perform due diligence, and defend their portfolios with our real-time dashboards and alerts. The successful candidate will preferably be located in the EMEA or APAC timezone. The Opportunity: Nansen is leveling up its strategic capabilities in Artificial Intelligence (AI) and Machine Learning (ML). We are actively seeking a highly skilled and motivated Senior AI/ML Engineer to join our team. In this role, you will develop and monitor AI models to analyze vast amounts of blockchain data, identifying patterns and insights that drive decision-making for crypto investors. Your contributions will be key to advancing Nansen's mission of surfacing the signal and creating winners in the future of finance. As a Senior AI/ML Engineer at Nansen, you will play a crucial part in enhancing our platform's capabilities, enabling us to offer a cutting-edge product to our users. Your expertise will not only influence the direction of our technology but also solidify Nansen's position as a leader in blockchain analytics. Key Responsibilities: Lead the design, implementation, and use of AI/ML models to process and analyze blockchain data, ensuring high performance and scalability. Collaborate with product managers and engineers to integrate AI/ML models into Nansen's platform, enhancing its analytical capabilities and improving user experience. Stay abreast of the latest developments in AI/ML and blockchain technologies, applying innovative approaches to solve complex challenges. Mentor junior engineers and promote best practices in AI/ML development across the team. Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs. Requirements: Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful AI/ML projects. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs) An ability to work full-stack with data; some data engineering experience is a big plus Strong analytical skills and the ability to work with large, complex data sets. Excellent communication skills, with the ability to collaborate effectively in a remote work environment across multiple time zones. A passion for blockchain, crypto, and Web3 technologies. What We Offer: Competitive salary and generous equity. Remote work environment with a flexible schedule. A team that values data and AI; our founders are data engineers and data scientists The opportunity to work from our Tech Hubs (flight & accommodation paid for) in Singapore, London, Bangkok, & Lisbon. A company culture that values transparency, speed, courage, and curiosity. Opportunities for personal and professional growth as the company scales. Exposure to a global network of industry experts, partners, and influencers.
10/02/2025
Full time
Nansen is a blockchain analytics platform that enriches on-chain data with millions of wallet labels. Crypto investors use Nansen to discover opportunities, perform due diligence, and defend their portfolios with our real-time dashboards and alerts. The successful candidate will preferably be located in the EMEA or APAC timezone. The Opportunity: Nansen is leveling up its strategic capabilities in Artificial Intelligence (AI) and Machine Learning (ML). We are actively seeking a highly skilled and motivated Senior AI/ML Engineer to join our team. In this role, you will develop and monitor AI models to analyze vast amounts of blockchain data, identifying patterns and insights that drive decision-making for crypto investors. Your contributions will be key to advancing Nansen's mission of surfacing the signal and creating winners in the future of finance. As a Senior AI/ML Engineer at Nansen, you will play a crucial part in enhancing our platform's capabilities, enabling us to offer a cutting-edge product to our users. Your expertise will not only influence the direction of our technology but also solidify Nansen's position as a leader in blockchain analytics. Key Responsibilities: Lead the design, implementation, and use of AI/ML models to process and analyze blockchain data, ensuring high performance and scalability. Collaborate with product managers and engineers to integrate AI/ML models into Nansen's platform, enhancing its analytical capabilities and improving user experience. Stay abreast of the latest developments in AI/ML and blockchain technologies, applying innovative approaches to solve complex challenges. Mentor junior engineers and promote best practices in AI/ML development across the team. Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs. Requirements: Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful AI/ML projects. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs) An ability to work full-stack with data; some data engineering experience is a big plus Strong analytical skills and the ability to work with large, complex data sets. Excellent communication skills, with the ability to collaborate effectively in a remote work environment across multiple time zones. A passion for blockchain, crypto, and Web3 technologies. What We Offer: Competitive salary and generous equity. Remote work environment with a flexible schedule. A team that values data and AI; our founders are data engineers and data scientists The opportunity to work from our Tech Hubs (flight & accommodation paid for) in Singapore, London, Bangkok, & Lisbon. A company culture that values transparency, speed, courage, and curiosity. Opportunities for personal and professional growth as the company scales. Exposure to a global network of industry experts, partners, and influencers.
Job Details: Head of Product, Digital Risk Full details of the job. Vacancy Name: Head of Product, Digital Risk Employment Type: Permanent Location: London Role Details: Ki is the biggest global insurance tech company you've never heard of, unless you've been looking to insure a satellite, wind farm or music festival recently. We launched in 2021 on the back of a fundraise that delivered $500m of investment, making us one of the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333-year-old industry was working. Together with partners at Google and UCL we developed Ki, a platform that helps insurance brokers cover risks in a fast and frictionless way. With over $400m of gross written premium in 2021, we have continued to rapidly scale, growing to $834m in 2022. We're continuing to lead the charge on the digitisation of this market and that's where you come in - we need more excellent minds to work with us to realise this goal and create more opportunities. If helping us transform a multi-billion global industry sounds exciting to you, read on. We are looking for an experienced Head of Product, Digital Risk to lead Ki's squads that focus on developing our pioneering algorithmic underwriting capabilities. You will work closely with a cross-functional team, including data scientists and algorithm engineers, to shape our future direction for the technology and capabilities that assess risk and manage our portfolios - both of which are critical to Ki's long-term success. Your focus will be on: Strategic direction and innovation: - Close collaboration with Algorithmic Underwriting leaders to shape and articulate the squads' remit and longer-term strategic direction for our risk decisioning capabilities. - Working with members of Ki's Senior Leadership team to assess the potential of promising new use cases and revenue models and determine what would be required in terms of risk decisioning capabilities, resources and time to fully realise this potential. Product discovery and business impact: - Being an evangelist for the squads working on our future risk decisioning capabilities, ensuring the broader business understands how the squads impact business performance. - Leading the product discovery process, ensuring squads have a deep understanding of impactful problems to solve and can articulate trade-offs. - Ensuring that squads get a balance between providing capabilities that can drive near-term business impact and longer-term strategic initiatives. Product team development: - Work with other product leaders on developing a supportive, high-performance product culture. - Leading, mentoring and coaching product managers, goal setting, providing feedback and facilitating professional development. Our culture: Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you're from, how you think, or who you love, we believe you should be you. You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. Ki Values: Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent. Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together. Be Courageous: Think big, push boundaries. Don't be afraid to fail because that's how we learn. Test, adapt, improve - always strive to be better. If this sounds like a role and a culture that appeals to you, apply now!
10/02/2025
Full time
Job Details: Head of Product, Digital Risk Full details of the job. Vacancy Name: Head of Product, Digital Risk Employment Type: Permanent Location: London Role Details: Ki is the biggest global insurance tech company you've never heard of, unless you've been looking to insure a satellite, wind farm or music festival recently. We launched in 2021 on the back of a fundraise that delivered $500m of investment, making us one of the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333-year-old industry was working. Together with partners at Google and UCL we developed Ki, a platform that helps insurance brokers cover risks in a fast and frictionless way. With over $400m of gross written premium in 2021, we have continued to rapidly scale, growing to $834m in 2022. We're continuing to lead the charge on the digitisation of this market and that's where you come in - we need more excellent minds to work with us to realise this goal and create more opportunities. If helping us transform a multi-billion global industry sounds exciting to you, read on. We are looking for an experienced Head of Product, Digital Risk to lead Ki's squads that focus on developing our pioneering algorithmic underwriting capabilities. You will work closely with a cross-functional team, including data scientists and algorithm engineers, to shape our future direction for the technology and capabilities that assess risk and manage our portfolios - both of which are critical to Ki's long-term success. Your focus will be on: Strategic direction and innovation: - Close collaboration with Algorithmic Underwriting leaders to shape and articulate the squads' remit and longer-term strategic direction for our risk decisioning capabilities. - Working with members of Ki's Senior Leadership team to assess the potential of promising new use cases and revenue models and determine what would be required in terms of risk decisioning capabilities, resources and time to fully realise this potential. Product discovery and business impact: - Being an evangelist for the squads working on our future risk decisioning capabilities, ensuring the broader business understands how the squads impact business performance. - Leading the product discovery process, ensuring squads have a deep understanding of impactful problems to solve and can articulate trade-offs. - Ensuring that squads get a balance between providing capabilities that can drive near-term business impact and longer-term strategic initiatives. Product team development: - Work with other product leaders on developing a supportive, high-performance product culture. - Leading, mentoring and coaching product managers, goal setting, providing feedback and facilitating professional development. Our culture: Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you're from, how you think, or who you love, we believe you should be you. You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. Ki Values: Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent. Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together. Be Courageous: Think big, push boundaries. Don't be afraid to fail because that's how we learn. Test, adapt, improve - always strive to be better. If this sounds like a role and a culture that appeals to you, apply now!
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations). You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects. You will be responsible for: Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking. Advising on the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. You will need To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background. Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition. Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration. Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture. PhD in a relevant field such as Mathematics, Engineering or Computer Science. Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.
10/02/2025
Full time
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations). You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects. You will be responsible for: Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking. Advising on the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. You will need To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background. Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition. Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration. Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture. PhD in a relevant field such as Mathematics, Engineering or Computer Science. Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.
Why loveholidays? At loveholidays, we're on a mission to open the world to everyone, giving our customers' unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers' personal holiday expert - the smart way to get away. About the team: Our Data Science team comprises seven members, including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets, set up large-scale experiments, and implement growth strategies with NO red tape. Quarterly OKR planning ensures that priorities are clearly defined and teams are aligned on objectives. The impact you'll have: Reporting to the Head of Data Science, the Senior Data Scientist will play a pivotal role in propelling loveholidays forward. Positioned within a team of passionate data enthusiasts, you'll be instrumental in shaping our data-driven strategies and outcomes. Your day-to-day: Researching and developing new models and techniques to tackle key business challenges Overseeing the production and maintenance of systems Conducting code reviews and collaborating on various projects across teams Providing mentorship and coaching, facilitating career growth within the team Engaging in project rotation for a fresh perspective and sustained engagement Proposing new initiatives and collaborating in team OKR crafting Participating in morning stand-ups and weekly prioritisation meetings Your skillset: We're on the hunt for a driven individual who employs a scientific approach to data, where the following qualities are paramount: Excellent problem-solving skills: Tackle a wide array of challenges through independent work and collaboration Innovation and curiosity: Work across the business to understand challenges and develop practical solutions Self-starter: Identify issues and opportunities independently, constantly seeking to learn and innovate Team player: Collaborate effectively, accept feedback, and provide mentorship Communication skills: Influence stakeholders and articulate data science concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at 5% Individualised training budget for you to learn on the job and level yourself up Discounted holidays for you, your family and friends 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum Ability to buy and sell annual leave Cycle to work scheme, season ticket loan and eye care vouchers At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. The interview journey: TA screening - 30 mins 1st stage with Hiring Manager - 45 mins Take-home exercise presentation - 1 hour Final stage with key stakeholder/s including a task to present, in office - 1 hour
10/02/2025
Full time
Why loveholidays? At loveholidays, we're on a mission to open the world to everyone, giving our customers' unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers' personal holiday expert - the smart way to get away. About the team: Our Data Science team comprises seven members, including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets, set up large-scale experiments, and implement growth strategies with NO red tape. Quarterly OKR planning ensures that priorities are clearly defined and teams are aligned on objectives. The impact you'll have: Reporting to the Head of Data Science, the Senior Data Scientist will play a pivotal role in propelling loveholidays forward. Positioned within a team of passionate data enthusiasts, you'll be instrumental in shaping our data-driven strategies and outcomes. Your day-to-day: Researching and developing new models and techniques to tackle key business challenges Overseeing the production and maintenance of systems Conducting code reviews and collaborating on various projects across teams Providing mentorship and coaching, facilitating career growth within the team Engaging in project rotation for a fresh perspective and sustained engagement Proposing new initiatives and collaborating in team OKR crafting Participating in morning stand-ups and weekly prioritisation meetings Your skillset: We're on the hunt for a driven individual who employs a scientific approach to data, where the following qualities are paramount: Excellent problem-solving skills: Tackle a wide array of challenges through independent work and collaboration Innovation and curiosity: Work across the business to understand challenges and develop practical solutions Self-starter: Identify issues and opportunities independently, constantly seeking to learn and innovate Team player: Collaborate effectively, accept feedback, and provide mentorship Communication skills: Influence stakeholders and articulate data science concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at 5% Individualised training budget for you to learn on the job and level yourself up Discounted holidays for you, your family and friends 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum Ability to buy and sell annual leave Cycle to work scheme, season ticket loan and eye care vouchers At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. The interview journey: TA screening - 30 mins 1st stage with Hiring Manager - 45 mins Take-home exercise presentation - 1 hour Final stage with key stakeholder/s including a task to present, in office - 1 hour
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. Learn more at: C3 AI As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform. You will work directly with researchers, data scientists, software engineers, and subject matter experts in the definition of new generative AI capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. Qualified candidates will have an in-depth knowledge of the most common Large Language Models (LLMs) and Retrieval Methods, know how to train and fine-tune LLMs, and design and implement LLM-powered agents and tools at scale. Responsibilities: Design and deploy Generative AI solutions, such as information retrieval and coding assistance, for industrial customers. Collaborate with Generative AI subject matter experts from C3 AI, its customer teams, and academia to identify, design, and implement innovative and differentiated solutions using cutting-edge research on LLMs and Generative AI. Drive the adoption and scalability of Generative AI offerings within C3 AI products. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Proficiency in Python and object-oriented programming. Strong experience working with machine learning and natural language processing techniques and tools. Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters. Strong experience with retrieval methods e.g. using embeddings. Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks. Experience with training and fine-tuning deep learning models, especially LLMs, and how to tune hyperparameters to ensure task generalization. Ability to drive a project and work both independently and within a cross-functional team. Smart, motivated, can-do attitude, innovative and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience. Preferred Qualifications: Experience with embedding model training and retrieval method evaluation approaches. Experience with LLM architectures, adapters, Mixture of Experts (MoEs) pretraining and fine-tuning techniques. Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. Experience with reinforcement learning approaches in the context of fine-tuning LLM outputs. Experience with time series analysis and multivariate time series modeling. C3 AI provides excellent benefits and a competitive compensation package. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
10/02/2025
Full time
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. Learn more at: C3 AI As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform. You will work directly with researchers, data scientists, software engineers, and subject matter experts in the definition of new generative AI capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. Qualified candidates will have an in-depth knowledge of the most common Large Language Models (LLMs) and Retrieval Methods, know how to train and fine-tune LLMs, and design and implement LLM-powered agents and tools at scale. Responsibilities: Design and deploy Generative AI solutions, such as information retrieval and coding assistance, for industrial customers. Collaborate with Generative AI subject matter experts from C3 AI, its customer teams, and academia to identify, design, and implement innovative and differentiated solutions using cutting-edge research on LLMs and Generative AI. Drive the adoption and scalability of Generative AI offerings within C3 AI products. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Proficiency in Python and object-oriented programming. Strong experience working with machine learning and natural language processing techniques and tools. Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters. Strong experience with retrieval methods e.g. using embeddings. Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks. Experience with training and fine-tuning deep learning models, especially LLMs, and how to tune hyperparameters to ensure task generalization. Ability to drive a project and work both independently and within a cross-functional team. Smart, motivated, can-do attitude, innovative and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience. Preferred Qualifications: Experience with embedding model training and retrieval method evaluation approaches. Experience with LLM architectures, adapters, Mixture of Experts (MoEs) pretraining and fine-tuning techniques. Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. Experience with reinforcement learning approaches in the context of fine-tuning LLM outputs. Experience with time series analysis and multivariate time series modeling. C3 AI provides excellent benefits and a competitive compensation package. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Senior Data Scientist - Recommendation Systems London x3 days in office Xcede are delighted to be partnering with a very exciting Fintech scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch! Responsibilities Help to build the Recommender System that powers the company's core platform. Help to define the company's Product strategy through creating impactful tools for customers/members. Work on A/B Testing & Experimentation. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Excellent Machine Learning and statistical knowledge & skills. Experience of working and deploying at scale. General RecSys experience is beneficial. Some Fintech or Credit Risk experience is beneficial. If this role interests you and you would like to find out more, please apply here or contact us via (feel free to include a CV for review).
10/02/2025
Full time
Senior Data Scientist - Recommendation Systems London x3 days in office Xcede are delighted to be partnering with a very exciting Fintech scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch! Responsibilities Help to build the Recommender System that powers the company's core platform. Help to define the company's Product strategy through creating impactful tools for customers/members. Work on A/B Testing & Experimentation. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Excellent Machine Learning and statistical knowledge & skills. Experience of working and deploying at scale. General RecSys experience is beneficial. Some Fintech or Credit Risk experience is beneficial. If this role interests you and you would like to find out more, please apply here or contact us via (feel free to include a CV for review).
We are hiring a Senior Data Manager for our growing data team. It's a role with an inspiring set of data challenges, for what will eventually be a comprehensive view of the health of 5 million people in the UK, including directly gathered information, genetics, NHS records, and other linked data. As a Senior Data Manager, you will work collaboratively with data scientists, engineers, and software architects to manage the secure flow of data sets that contain the most detailed picture of human health. In your role, you will ensure that Our Future Health's participants' data is kept safe whilst maximizing its usefulness to researchers. This consists of managing data-related processes and the Airlock, the mechanism that researchers use to import or release material (data, statistical results, software, and tools) to and from our Trusted Research Environment. Running our Airlock in a secure and efficient manner is key to protecting the privacy of participants and helps us achieve our mission by enabling research findings to be disseminated quickly. The Airlock is relatively new, and the Senior Data Manager will be responsible for maturing and scaling the service through automating or contracting out particular steps and proactively keeping up to date with technical advances in this sector. Throughout, your role will ensure the best outcomes for researchers and participants alike, bringing analytical expertise, experience in governance and data security, and great communication skills to manage and support all elements of our Airlock service to the highest standards. As our work develops, there will be other processes that need creating. You will use your expertise and experience in data stewardship and governance to contribute to the wider work of the team; for example, by helping to establish and operationalize efficient, accurate, and resilient transfers of sensitive health data and enabling the use of health data across the world by providing the right information to researchers. This is a varied and hands-on role. Due to the innovative nature of our work, you will often encounter situations that the organization hasn't dealt with before, and you'll be part of the team that thinks through how we design our systems and processes in a way that protects the privacy of our participants, results in high-quality data, and is scalable. You'll be working in multi-disciplinary teams to ensure that approaches are implementable while meeting the requirements of our governance, data protection, and information security teams. While you'll often be solving problems for the first time, it's important for this role to write down the systems and processes you're creating, so that they can be made clear to everyone and can be followed. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing In this role, you will work in a team of data managers who support each other and collaborate to achieve a range of objectives across data management. Supported by this team, your key responsibilities will include but not be limited to: Airlock Management: Establish and run an effective and timely Airlock service to facilitate import and release of statistical outputs and other materials in line with our disclosure control approach. Provide leadership on scaling and maturing the Airlock service, keeping up to date with technological developments and the use of similar services across other organisations and sectors. Support researchers to use the Airlock service efficiently by assessing their requests, providing feedback, and advising on strategies to reduce disclosure risks. Establish, train, and manage an expert group to support decisions on novel or difficult requests. Work with relevant subject matter experts or champions across Our Future Health and the relevant Boards to help advise on issues related to the Airlock service. Data Management: Manage some processes relating to the data lifecycle within a squad: working with data suppliers to schedule and monitor the timely supply of data in line with data sharing agreements and service level agreements, tracking and improving the quality of data, and overseeing the destruction of data when required. Be a first port of call for questions from research groups about data provenance, definition, quality, and documentation. Facilitate the development of policies, processes, and technical solutions to meet internal requirements relating to technology, data protection, data governance, and information security, as well as external requirements from data suppliers, working with a variety of stakeholders. Work with squads to identify, report, and investigate data quality issues, following agreed data quality incident processes where appropriate. Contribute to relevant governance processes and structures within Our Future Health, including risk, assumption, issue, and dependency management. We don't expect you to have experience of each point and we welcome a wide range of applicants, but working in a similar data-focused position and being comfortable automating processes would be essential. Analytical skills and intuition, and in-depth practical understanding of statistical concepts. Experience working with a range of health and care data sets, such as administrative data, electronic medical records, genetics, or questionnaires. Experience working closely with researchers in health, biomedical, or clinical sciences. Ability to evaluate the research outputs from a privacy or disclosure risk perspective. Working knowledge of Python, sufficient to be able to interrogate the data to produce meaningful descriptive statistics. Understanding and working knowledge of information governance and data security approaches appropriate for sensitive health data, ideally with experience of working within an ISO 27001 accredited environment. Awareness of ethical and legal issues (and professional debates) relating to genetics/genomics, the handling and storage of human tissue, and access to personal and health data. Ability to concisely summarize and explain complex scenarios in easy-to-understand terms. Resilience and motivation to problem solve and have significant positive impact on complex or uncertain issues. Ability to prioritize effectively and manage competing business demands and stakeholder expectations. Well-developed interpersonal skills and ability to communicate effectively with subject matter experts and people at all organisational levels. Salary and Benefits: Salary banding £70,000 - 80,000. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together. Applications for this role will close on Monday 24th of February.
10/02/2025
Full time
We are hiring a Senior Data Manager for our growing data team. It's a role with an inspiring set of data challenges, for what will eventually be a comprehensive view of the health of 5 million people in the UK, including directly gathered information, genetics, NHS records, and other linked data. As a Senior Data Manager, you will work collaboratively with data scientists, engineers, and software architects to manage the secure flow of data sets that contain the most detailed picture of human health. In your role, you will ensure that Our Future Health's participants' data is kept safe whilst maximizing its usefulness to researchers. This consists of managing data-related processes and the Airlock, the mechanism that researchers use to import or release material (data, statistical results, software, and tools) to and from our Trusted Research Environment. Running our Airlock in a secure and efficient manner is key to protecting the privacy of participants and helps us achieve our mission by enabling research findings to be disseminated quickly. The Airlock is relatively new, and the Senior Data Manager will be responsible for maturing and scaling the service through automating or contracting out particular steps and proactively keeping up to date with technical advances in this sector. Throughout, your role will ensure the best outcomes for researchers and participants alike, bringing analytical expertise, experience in governance and data security, and great communication skills to manage and support all elements of our Airlock service to the highest standards. As our work develops, there will be other processes that need creating. You will use your expertise and experience in data stewardship and governance to contribute to the wider work of the team; for example, by helping to establish and operationalize efficient, accurate, and resilient transfers of sensitive health data and enabling the use of health data across the world by providing the right information to researchers. This is a varied and hands-on role. Due to the innovative nature of our work, you will often encounter situations that the organization hasn't dealt with before, and you'll be part of the team that thinks through how we design our systems and processes in a way that protects the privacy of our participants, results in high-quality data, and is scalable. You'll be working in multi-disciplinary teams to ensure that approaches are implementable while meeting the requirements of our governance, data protection, and information security teams. While you'll often be solving problems for the first time, it's important for this role to write down the systems and processes you're creating, so that they can be made clear to everyone and can be followed. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing In this role, you will work in a team of data managers who support each other and collaborate to achieve a range of objectives across data management. Supported by this team, your key responsibilities will include but not be limited to: Airlock Management: Establish and run an effective and timely Airlock service to facilitate import and release of statistical outputs and other materials in line with our disclosure control approach. Provide leadership on scaling and maturing the Airlock service, keeping up to date with technological developments and the use of similar services across other organisations and sectors. Support researchers to use the Airlock service efficiently by assessing their requests, providing feedback, and advising on strategies to reduce disclosure risks. Establish, train, and manage an expert group to support decisions on novel or difficult requests. Work with relevant subject matter experts or champions across Our Future Health and the relevant Boards to help advise on issues related to the Airlock service. Data Management: Manage some processes relating to the data lifecycle within a squad: working with data suppliers to schedule and monitor the timely supply of data in line with data sharing agreements and service level agreements, tracking and improving the quality of data, and overseeing the destruction of data when required. Be a first port of call for questions from research groups about data provenance, definition, quality, and documentation. Facilitate the development of policies, processes, and technical solutions to meet internal requirements relating to technology, data protection, data governance, and information security, as well as external requirements from data suppliers, working with a variety of stakeholders. Work with squads to identify, report, and investigate data quality issues, following agreed data quality incident processes where appropriate. Contribute to relevant governance processes and structures within Our Future Health, including risk, assumption, issue, and dependency management. We don't expect you to have experience of each point and we welcome a wide range of applicants, but working in a similar data-focused position and being comfortable automating processes would be essential. Analytical skills and intuition, and in-depth practical understanding of statistical concepts. Experience working with a range of health and care data sets, such as administrative data, electronic medical records, genetics, or questionnaires. Experience working closely with researchers in health, biomedical, or clinical sciences. Ability to evaluate the research outputs from a privacy or disclosure risk perspective. Working knowledge of Python, sufficient to be able to interrogate the data to produce meaningful descriptive statistics. Understanding and working knowledge of information governance and data security approaches appropriate for sensitive health data, ideally with experience of working within an ISO 27001 accredited environment. Awareness of ethical and legal issues (and professional debates) relating to genetics/genomics, the handling and storage of human tissue, and access to personal and health data. Ability to concisely summarize and explain complex scenarios in easy-to-understand terms. Resilience and motivation to problem solve and have significant positive impact on complex or uncertain issues. Ability to prioritize effectively and manage competing business demands and stakeholder expectations. Well-developed interpersonal skills and ability to communicate effectively with subject matter experts and people at all organisational levels. Salary and Benefits: Salary banding £70,000 - 80,000. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together. Applications for this role will close on Monday 24th of February.
We are hiring a Senior Data Manager for our growing data team. It's a role with an inspiring set of data challenges, for what will eventually be a comprehensive view of the health of 5 million people in the UK, including directly gathered information, genetics, NHS records, and other linked data. As a Senior Data Manager, you will work collaboratively with data scientists, engineers, and software architects to manage the secure flow of data sets that contain the most detailed picture of human health. In your role, you will ensure that Our Future Health's participants' data is kept safe whilst maximising its usefulness to researchers. This consists of managing data-related processes and the Airlock, the mechanism that researchers use to import or release material (data, statistical results, software, and tools) to and from our Trusted Research Environment. Running our Airlock in a secure and efficient manner is key to protecting the privacy of participants and helps us achieve our mission by enabling research findings to be disseminated quickly. The Airlock is relatively new, and the Senior Data Manager will be responsible for maturing and scaling the service through automating or contracting out particular steps, and proactively keeping up to date with technical advances in this sector. Throughout, your role will ensure the best outcomes for researchers and participants alike, bringing analytical expertise, experience in governance and data security, and great communication skills to manage and support all elements of our Airlock service to the highest standards. As our work develops there will be other processes that need creating. You will use your expertise and experience in data stewardship and governance to contribute to the wider work of the team; for example, by helping to establish and operationalise efficient, accurate and resilient transfers of sensitive health data and enabling the use of health data across the world by providing the right information to researchers. This is a varied and hands-on role. Due to the innovative nature of our work, you will often encounter situations that the organisation hasn't dealt with before, and you'll be part of the team that thinks through how we design our systems and processes in a way that protects the privacy of our participants, results in high quality data, and is scalable. You'll be working in multi-disciplinary teams to ensure that approaches are implementable while meeting the requirements of our governance, data protection, and information security teams. While you'll often be solving problems for the first time, it's important for this role to write down the systems and processes you're creating, so that they can be made clear to everyone and can be followed. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing In this role, you will work in a team of data managers who support each other and collaborate to achieve a range of objectives across data management. Supported by this team, your key responsibilities will include but not be limited to: Airlock Management: Establish and run an effective and timely Airlock service to facilitate import and release of statistical outputs and other materials in line with our disclosure control approach. Provide leadership on scaling and maturing the Airlock service, keeping up to date with technological developments and the use of similar services across other organisations and sectors. Support researchers to use the Airlock service efficiently by assessing their requests, providing feedback and advising on strategies to reduce disclosure risks. Establish, train, and manage an expert group to support decisions on novel or difficult requests. Work with relevant subject matter experts or champions across Our Future Health and the relevant Boards to help advise on issues related to the Airlock service. Data Management: Manage some processes relating to the data lifecycle within a squad: working with data suppliers to schedule and monitor the timely supply of data in line with data sharing agreements and service level agreements, tracking and improving the quality of data, and overseeing the destruction of data when required. Be a first port of call for questions from research groups about data provenance, definition, quality, and documentation. Facilitate the development of policies, processes and technical solutions to meet internal requirements relating to technology, data protection, data governance and information security, as well as external requirements from data suppliers, working with a variety of stakeholders. Work with squads to identify, report and investigate data quality issues, following agreed data quality incident processes where appropriate. Contribute to relevant governance processes and structures within Our Future Health, including risk, assumption, issue and dependency management. We don't expect you to have experience of each point and we welcome a wide range of applicants, but working in a similar data-focused position and being comfortable automating processes would be essential. Minimum Requirements: Analytical skills and intuition, and in-depth practical understanding of statistical concepts. Experience working with a range of health and care data sets, such as administrative data, electronic medical records, genetics, or questionnaires. Experience working closely with researchers in health, biomedical or clinical sciences. Ability to evaluate the research outputs from a privacy or disclosure risk perspective. Working knowledge of Python, sufficient to be able to interrogate the data to produce meaningful descriptive statistics. Understanding and working knowledge of information governance and data security approaches appropriate for sensitive health data, ideally with experience of working within an ISO 27001 accredited environment. Awareness of ethical and legal issues (and professional debates) relating to genetics/genomics, the handling and storage of human tissue, and access to personal and health data. Ability to concisely summarise and explain complex scenarios in easy-to-understand terms. Resilience and motivation to problem solve and have significant positive impact on complex or uncertain issues. Ability to prioritise effectively and manage competing business demand and stakeholder expectations. Well-developed interpersonal skills and ability to communicate effectively with subject matter experts and people at all organisational levels. Benefits: Salary banding £70,000 - 80,000. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together. Applications for this role will close on Monday 24th of February.
10/02/2025
Full time
We are hiring a Senior Data Manager for our growing data team. It's a role with an inspiring set of data challenges, for what will eventually be a comprehensive view of the health of 5 million people in the UK, including directly gathered information, genetics, NHS records, and other linked data. As a Senior Data Manager, you will work collaboratively with data scientists, engineers, and software architects to manage the secure flow of data sets that contain the most detailed picture of human health. In your role, you will ensure that Our Future Health's participants' data is kept safe whilst maximising its usefulness to researchers. This consists of managing data-related processes and the Airlock, the mechanism that researchers use to import or release material (data, statistical results, software, and tools) to and from our Trusted Research Environment. Running our Airlock in a secure and efficient manner is key to protecting the privacy of participants and helps us achieve our mission by enabling research findings to be disseminated quickly. The Airlock is relatively new, and the Senior Data Manager will be responsible for maturing and scaling the service through automating or contracting out particular steps, and proactively keeping up to date with technical advances in this sector. Throughout, your role will ensure the best outcomes for researchers and participants alike, bringing analytical expertise, experience in governance and data security, and great communication skills to manage and support all elements of our Airlock service to the highest standards. As our work develops there will be other processes that need creating. You will use your expertise and experience in data stewardship and governance to contribute to the wider work of the team; for example, by helping to establish and operationalise efficient, accurate and resilient transfers of sensitive health data and enabling the use of health data across the world by providing the right information to researchers. This is a varied and hands-on role. Due to the innovative nature of our work, you will often encounter situations that the organisation hasn't dealt with before, and you'll be part of the team that thinks through how we design our systems and processes in a way that protects the privacy of our participants, results in high quality data, and is scalable. You'll be working in multi-disciplinary teams to ensure that approaches are implementable while meeting the requirements of our governance, data protection, and information security teams. While you'll often be solving problems for the first time, it's important for this role to write down the systems and processes you're creating, so that they can be made clear to everyone and can be followed. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing In this role, you will work in a team of data managers who support each other and collaborate to achieve a range of objectives across data management. Supported by this team, your key responsibilities will include but not be limited to: Airlock Management: Establish and run an effective and timely Airlock service to facilitate import and release of statistical outputs and other materials in line with our disclosure control approach. Provide leadership on scaling and maturing the Airlock service, keeping up to date with technological developments and the use of similar services across other organisations and sectors. Support researchers to use the Airlock service efficiently by assessing their requests, providing feedback and advising on strategies to reduce disclosure risks. Establish, train, and manage an expert group to support decisions on novel or difficult requests. Work with relevant subject matter experts or champions across Our Future Health and the relevant Boards to help advise on issues related to the Airlock service. Data Management: Manage some processes relating to the data lifecycle within a squad: working with data suppliers to schedule and monitor the timely supply of data in line with data sharing agreements and service level agreements, tracking and improving the quality of data, and overseeing the destruction of data when required. Be a first port of call for questions from research groups about data provenance, definition, quality, and documentation. Facilitate the development of policies, processes and technical solutions to meet internal requirements relating to technology, data protection, data governance and information security, as well as external requirements from data suppliers, working with a variety of stakeholders. Work with squads to identify, report and investigate data quality issues, following agreed data quality incident processes where appropriate. Contribute to relevant governance processes and structures within Our Future Health, including risk, assumption, issue and dependency management. We don't expect you to have experience of each point and we welcome a wide range of applicants, but working in a similar data-focused position and being comfortable automating processes would be essential. Minimum Requirements: Analytical skills and intuition, and in-depth practical understanding of statistical concepts. Experience working with a range of health and care data sets, such as administrative data, electronic medical records, genetics, or questionnaires. Experience working closely with researchers in health, biomedical or clinical sciences. Ability to evaluate the research outputs from a privacy or disclosure risk perspective. Working knowledge of Python, sufficient to be able to interrogate the data to produce meaningful descriptive statistics. Understanding and working knowledge of information governance and data security approaches appropriate for sensitive health data, ideally with experience of working within an ISO 27001 accredited environment. Awareness of ethical and legal issues (and professional debates) relating to genetics/genomics, the handling and storage of human tissue, and access to personal and health data. Ability to concisely summarise and explain complex scenarios in easy-to-understand terms. Resilience and motivation to problem solve and have significant positive impact on complex or uncertain issues. Ability to prioritise effectively and manage competing business demand and stakeholder expectations. Well-developed interpersonal skills and ability to communicate effectively with subject matter experts and people at all organisational levels. Benefits: Salary banding £70,000 - 80,000. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together. Applications for this role will close on Monday 24th of February.
What is Sylvera anyway? Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action. Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has employees worldwide with offices in London, New York, Belgrade and Singapore. We've raised over $96million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date. What will I be doing? As a Senior Fullstack Engineer, you will play a key role by automating and enhancing the evaluation of climate project quality across diverse project types. Collaborating closely with internal stakeholders, you'll identify workflow bottlenecks, propose scalable solutions, and develop REST APIs to support our frontend applications. Your contributions will ensure our tools are efficient, flexible, and equipped to handle a growing portfolio of climate projects. Technical Proficiency: Quickly onboard and work effectively with our current stack: Node.js, AWS, Snowflake, PostgreSQL, and React. Partner with the rest of the team to deliver complete and integrated user solutions. Build and maintain platform capabilities, including APIs and front-end components, for seamless integration with internal and external tools. Problem-Solving: Design architectures and frameworks aligned with business goals to support rapid growth. Identify and address inefficiencies in development processes, ensuring reliability and scalability. Collaboration: Engage with internal stakeholders to understand business needs and translate them into technical solutions. Work across teams to improve workflows, standardize testing, versioning, and metadata management processes. We're looking for someone who: Has full-stack engineering experience, including data platforms and building RESTful APIs. Can quickly adapt to unfamiliar tech stacks, including low-code systems. Consistently delivers high-quality, end-to-end solutions. Has expertise in designing and scaling production-grade systems. Is experienced in collaborating with stakeholders to develop well-tested solutions. Has strong communication skills to adapt well to our highly collaborative environment. Cares deeply about the climate and ecosystems of the earth. Is a self-starter who thrives in constantly evolving environments, ideally with startup experience. We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Tech Stack We're tech agnostic when hiring, so you don't need experience with this stack to apply. If you're not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support that). Node.js Typescript Python REST API standards AWS as our cloud service provider Serverless technologies (Lambda, SQS, SNS, SES) PostgreSQL Snowflake Docker Circle.ci Sentry DataDog Benefits Equity in a rapidly growing startup Private Health Insurance and Life Assurance Unlimited annual leave Enhanced parental leave Access to Mental Health support via Spill Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo/equivalent allowance once a month Location We work flexibly but encourage people to come in regularly to our great office in Old St. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We keep our focus on the long-term, even if that means short-term challenges. Do what's right - even when it's hard: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long-run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
10/02/2025
Full time
What is Sylvera anyway? Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action. Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has employees worldwide with offices in London, New York, Belgrade and Singapore. We've raised over $96million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date. What will I be doing? As a Senior Fullstack Engineer, you will play a key role by automating and enhancing the evaluation of climate project quality across diverse project types. Collaborating closely with internal stakeholders, you'll identify workflow bottlenecks, propose scalable solutions, and develop REST APIs to support our frontend applications. Your contributions will ensure our tools are efficient, flexible, and equipped to handle a growing portfolio of climate projects. Technical Proficiency: Quickly onboard and work effectively with our current stack: Node.js, AWS, Snowflake, PostgreSQL, and React. Partner with the rest of the team to deliver complete and integrated user solutions. Build and maintain platform capabilities, including APIs and front-end components, for seamless integration with internal and external tools. Problem-Solving: Design architectures and frameworks aligned with business goals to support rapid growth. Identify and address inefficiencies in development processes, ensuring reliability and scalability. Collaboration: Engage with internal stakeholders to understand business needs and translate them into technical solutions. Work across teams to improve workflows, standardize testing, versioning, and metadata management processes. We're looking for someone who: Has full-stack engineering experience, including data platforms and building RESTful APIs. Can quickly adapt to unfamiliar tech stacks, including low-code systems. Consistently delivers high-quality, end-to-end solutions. Has expertise in designing and scaling production-grade systems. Is experienced in collaborating with stakeholders to develop well-tested solutions. Has strong communication skills to adapt well to our highly collaborative environment. Cares deeply about the climate and ecosystems of the earth. Is a self-starter who thrives in constantly evolving environments, ideally with startup experience. We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Tech Stack We're tech agnostic when hiring, so you don't need experience with this stack to apply. If you're not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support that). Node.js Typescript Python REST API standards AWS as our cloud service provider Serverless technologies (Lambda, SQS, SNS, SES) PostgreSQL Snowflake Docker Circle.ci Sentry DataDog Benefits Equity in a rapidly growing startup Private Health Insurance and Life Assurance Unlimited annual leave Enhanced parental leave Access to Mental Health support via Spill Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo/equivalent allowance once a month Location We work flexibly but encourage people to come in regularly to our great office in Old St. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We keep our focus on the long-term, even if that means short-term challenges. Do what's right - even when it's hard: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long-run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Data Scientist, Generative AI Innovation Center DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
10/02/2025
Full time
Senior Data Scientist, Generative AI Innovation Center DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an ML Data Scientist, you will: Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Relevant experience in building large scale machine learning or deep learning models. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. Hands-on experience of building ML solutions on AWS. High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
We're looking for a Senior Full-Stack Engineer to help evolve our existing web SDKs and compliance platform. Customer engineering teams love our SDKs as they're easy to integrate and provide their end-users with a simple and seamless verification experience. Our business users love our platform's simplicity in the complex world of global compliance and identity. This is a full-time Senior Full-Stack engineering hire on the team. We need someone analytical and technical who enjoys a challenge. We're a small team and are looking for someone with a great attitude and curiosity who is eager to take ownership of core initiatives and grow with us. If you're interested in shaping one of the most ambitious companies in our space, join us! You will: Develop and Evolve Web SDKs: Enhance and maintain the company's web SDKs to ensure they are easy to integrate and high-performing and deliver seamless verification experiences for end-users. Design, build, and maintain shared components for ComplyCube's SDKs Work with product managers, user researchers, designers, data scientists, and other engineers to empathize with external users and build solutions to address their needs Optimize consumer flows to create a seamless user experience that delights both businesses and consumers. Lead Technical Initiatives: Take ownership of core technical initiatives, driving the architecture, design, and execution of key features across both frontend and backend systems. Optimize User and Developer Experience: Improve the user-facing platform and the developer experience by creating intuitive, reliable, well-documented SDKs and APIs. You may be fit for this role if you: 4+ years of coding and design experience in Node JS, React, and MongoDB. Able to write unit tests and achieve good test coverage across the various components. Strong knowledge of version control. Has a passion for building delightful user experiences with a "product first" mindset. Experience in Agile methodologies and tools. Ready to get started? Create an account or get in touch.
10/02/2025
Full time
We're looking for a Senior Full-Stack Engineer to help evolve our existing web SDKs and compliance platform. Customer engineering teams love our SDKs as they're easy to integrate and provide their end-users with a simple and seamless verification experience. Our business users love our platform's simplicity in the complex world of global compliance and identity. This is a full-time Senior Full-Stack engineering hire on the team. We need someone analytical and technical who enjoys a challenge. We're a small team and are looking for someone with a great attitude and curiosity who is eager to take ownership of core initiatives and grow with us. If you're interested in shaping one of the most ambitious companies in our space, join us! You will: Develop and Evolve Web SDKs: Enhance and maintain the company's web SDKs to ensure they are easy to integrate and high-performing and deliver seamless verification experiences for end-users. Design, build, and maintain shared components for ComplyCube's SDKs Work with product managers, user researchers, designers, data scientists, and other engineers to empathize with external users and build solutions to address their needs Optimize consumer flows to create a seamless user experience that delights both businesses and consumers. Lead Technical Initiatives: Take ownership of core technical initiatives, driving the architecture, design, and execution of key features across both frontend and backend systems. Optimize User and Developer Experience: Improve the user-facing platform and the developer experience by creating intuitive, reliable, well-documented SDKs and APIs. You may be fit for this role if you: 4+ years of coding and design experience in Node JS, React, and MongoDB. Able to write unit tests and achieve good test coverage across the various components. Strong knowledge of version control. Has a passion for building delightful user experiences with a "product first" mindset. Experience in Agile methodologies and tools. Ready to get started? Create an account or get in touch.
The Role Online Casino is one of the core products at Kindred, a market leader in responsible gambling. It is with the aim of offering the best, safest and most relevant experience to our customers that we leverage Machine Learning and AI to personalise our casino experience. For that, we are looking for a Senior Data Scientist to join forces with Machine Learning Engineers, Business Analysts and product teams to deliver state of art solutions. As part of this process, you will be responsible for developing Data Science models, aligning roadmaps, supporting the growth of the Data Science team, and working closely with Machine Learning Engineers to productionise and A/B test solutions across different markets. From recommender systems to advanced search personalisation, there is no shortage of exciting and challenging projects for you to apply your experience. Maintaining and improving current solutions, proposing and delivering new workstreams, engaging with key stakeholders across the business, and fostering a culture of excellence are some of the keys to success in this role. As the team grows, you will also be expected to support and guide junior team members to broaden their skills and efficiency. What You Will Do Take ownership of execution against our Casino Personalisation roadmap by overseeing tech prioritisation and balancing hands-on contributions with strong stakeholder engagement. Take joint accountability with ML Engineering for the lifecycle of ML data products as they transition from research to production. Identify skill gaps and proactively address them, ensuring continuous skill development. Maintain strong relationships and communication at the interfaces of our domain, namely with our business owners and engineering teams. Contribute to building a culture of excellence within the wider Data Science and MLE organisations by aligning tools, best practices, processes, and governance. Raise the profile of the team by actively promoting work and team contributions across the organization. Hands-on delivery experience along with mentoring is desirable. Your Experience Bachelor's or advanced degree in a STEM subject. In-depth understanding and experience of recommender systems. Advanced knowledge of machine learning algorithms, general statistical methodologies and theory. Advanced knowledge of A/B testing and design of experiments. Exemplary Python programming and SQL skills, with experience using Spark for processing large datasets. Familiarity with cloud computing platforms, preferably experience with Amazon Web Services. Understanding of software product development processes and governance, including CI/CD processes, release and change management. Understanding of the machine learning product lifecycle, and how scientists and engineers collaborate in cross-functional product teams. Understanding of ML deployment paradigms including batch, event-driven, and request-response. Knowledge of GitOps processes for testing and deployment, e.g., Jenkins and Terraform, and a broad awareness of software development practices. Passionate about personal development for self and team members. Excellent interpersonal skills, able to explain complex concepts to stakeholders. A problem-solving growth mindset with the ability to quickly pick up new concepts. Good to have knowledge of Generative AI and NLP. Ensure adherence to Governance, Risk & Compliance (GRC) obligations for your role. Identify and raise any non-compliance incidents promptly to your line manager. Challenge processes, policies, and projects that will negatively impact compliance within the Group. Complete all mandatory compliance training assigned to you. Reach out to the Compliance Teams if unsure of any compliance obligations or if requirements are unclear.
10/02/2025
Full time
The Role Online Casino is one of the core products at Kindred, a market leader in responsible gambling. It is with the aim of offering the best, safest and most relevant experience to our customers that we leverage Machine Learning and AI to personalise our casino experience. For that, we are looking for a Senior Data Scientist to join forces with Machine Learning Engineers, Business Analysts and product teams to deliver state of art solutions. As part of this process, you will be responsible for developing Data Science models, aligning roadmaps, supporting the growth of the Data Science team, and working closely with Machine Learning Engineers to productionise and A/B test solutions across different markets. From recommender systems to advanced search personalisation, there is no shortage of exciting and challenging projects for you to apply your experience. Maintaining and improving current solutions, proposing and delivering new workstreams, engaging with key stakeholders across the business, and fostering a culture of excellence are some of the keys to success in this role. As the team grows, you will also be expected to support and guide junior team members to broaden their skills and efficiency. What You Will Do Take ownership of execution against our Casino Personalisation roadmap by overseeing tech prioritisation and balancing hands-on contributions with strong stakeholder engagement. Take joint accountability with ML Engineering for the lifecycle of ML data products as they transition from research to production. Identify skill gaps and proactively address them, ensuring continuous skill development. Maintain strong relationships and communication at the interfaces of our domain, namely with our business owners and engineering teams. Contribute to building a culture of excellence within the wider Data Science and MLE organisations by aligning tools, best practices, processes, and governance. Raise the profile of the team by actively promoting work and team contributions across the organization. Hands-on delivery experience along with mentoring is desirable. Your Experience Bachelor's or advanced degree in a STEM subject. In-depth understanding and experience of recommender systems. Advanced knowledge of machine learning algorithms, general statistical methodologies and theory. Advanced knowledge of A/B testing and design of experiments. Exemplary Python programming and SQL skills, with experience using Spark for processing large datasets. Familiarity with cloud computing platforms, preferably experience with Amazon Web Services. Understanding of software product development processes and governance, including CI/CD processes, release and change management. Understanding of the machine learning product lifecycle, and how scientists and engineers collaborate in cross-functional product teams. Understanding of ML deployment paradigms including batch, event-driven, and request-response. Knowledge of GitOps processes for testing and deployment, e.g., Jenkins and Terraform, and a broad awareness of software development practices. Passionate about personal development for self and team members. Excellent interpersonal skills, able to explain complex concepts to stakeholders. A problem-solving growth mindset with the ability to quickly pick up new concepts. Good to have knowledge of Generative AI and NLP. Ensure adherence to Governance, Risk & Compliance (GRC) obligations for your role. Identify and raise any non-compliance incidents promptly to your line manager. Challenge processes, policies, and projects that will negatively impact compliance within the Group. Complete all mandatory compliance training assigned to you. Reach out to the Compliance Teams if unsure of any compliance obligations or if requirements are unclear.