Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
11/04/2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
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)
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
15/05/2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
Royal Society of Biology
Remote mostly, occasional visits to London office
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
05/10/2022
Contractor
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
23/12/2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. When applying for one of our positions, you're agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. General Description: We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve non-trivial business problems in Fortune 500 companies. This person will mostly work with a mix of structured and unstructured data, using scientific methods and state-of-the-art techniques and tools to help our customers achieve their business objectives. Responsibilities: Understand complex business problems and translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving machine learning. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including simulations and offline/online experimentation (via A/B tests). Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models to help test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and implement them into running software for Proof-of-Concepts and projects. Ability to explore big data without a specific problem defined, in order to come up with the right questions and provide interesting findings. Ability to provide visibility of the progress of tasks to the team by means of small deliverables. Proficient in computer languages like Python or R, and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search). Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses. Think critically and act in a detail-oriented fashion while keeping the 'big picture' in mind. Ability to provide creative and innovative approaches to problem solving. Ability to work independently and within a collaborative team environment. Desired Qualifications: Masters or PhD in Machine Learning / Data Mining / Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
10/05/2025
Full time
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. When applying for one of our positions, you're agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. General Description: We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve non-trivial business problems in Fortune 500 companies. This person will mostly work with a mix of structured and unstructured data, using scientific methods and state-of-the-art techniques and tools to help our customers achieve their business objectives. Responsibilities: Understand complex business problems and translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving machine learning. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including simulations and offline/online experimentation (via A/B tests). Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models to help test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and implement them into running software for Proof-of-Concepts and projects. Ability to explore big data without a specific problem defined, in order to come up with the right questions and provide interesting findings. Ability to provide visibility of the progress of tasks to the team by means of small deliverables. Proficient in computer languages like Python or R, and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search). Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses. Think critically and act in a detail-oriented fashion while keeping the 'big picture' in mind. Ability to provide creative and innovative approaches to problem solving. Ability to work independently and within a collaborative team environment. Desired Qualifications: Masters or PhD in Machine Learning / Data Mining / Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Clarity Backend Engineer (Java) About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Product Search Engine and Product Catalog processing components of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in Java; familiarity with Spring Framework, Spring Boot, Test-Driven Development, JUnit, Maven is a strong plus. Experience with NoSQL databases (e.g., MongoDB, DynamoDB) and in-memory Data Stores (e.g., Redis). Experience with Vector DBs (e.g., Qdrant, FAISS, Pinecone) is a strong plus. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!
10/05/2025
Full time
Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Clarity Backend Engineer (Java) About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Product Search Engine and Product Catalog processing components of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in Java; familiarity with Spring Framework, Spring Boot, Test-Driven Development, JUnit, Maven is a strong plus. Experience with NoSQL databases (e.g., MongoDB, DynamoDB) and in-memory Data Stores (e.g., Redis). Experience with Vector DBs (e.g., Qdrant, FAISS, Pinecone) is a strong plus. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
10/05/2025
Full time
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
10/05/2025
Full time
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Conversation Engine component of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in TypeScript, Node.js, and Python. Experience with NoSQL databases (e.g. MongoDB, DynamoDB) and in-memory Data Stores (e.g. Redis). Familiarity with asynchronous programming and event-driven architecture. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences!
10/05/2025
Full time
Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Conversation Engine component of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in TypeScript, Node.js, and Python. Experience with NoSQL databases (e.g. MongoDB, DynamoDB) and in-memory Data Stores (e.g. Redis). Familiarity with asynchronous programming and event-driven architecture. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences!
Discover Financial Services, Inc.
Farnborough, Hampshire
With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: What You'll Do Responsible for oversight on design and implementation of products assigned to their team. This means they can take user stories and new features from idea to production unattended. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management. How You'll Do It Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality. Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in technical skillset through mentorship. Has oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them. Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions. Achieves team commitments through collaboration with other engineers, architects, product owners and data scientists. Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data. Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform. Qualifications You'll Need The Basics Bachelors Degree in Computer Science, Engineering, Informatics, Information Security, Information Technology or related field Experience in Information Technology, (Software) Engineering or related Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale. Physical and Cognitive Requirements The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws: Primarily remain in a stationary position. No required movement about the work environment to complete the major responsibilities of the job. Primarily performed indoors in an office setting. Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator. Ability to communicate verbally and in written form. Bonus Points If You Have Experience as part of an Agile engineering or development team Experience of mentoring teams in testing best practices Strong experience of testing within the full software development lifecycle (Unit, functional, performance & security) Experience testing and implementing API service architecture with Spring Boot Experience with CI/CD pipelines with Jenkins or similar External applicants will be required to perform a technical interview. Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United Kingdom on a full-time basis. Application Deadline: The application window for this position is anticipated to close on Apr-02-2025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation. Positions marked as remote eligible are limited to remote locations within the country in which the position is based. Applicants must be 18 or older at the time of hire.
10/05/2025
Full time
With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: What You'll Do Responsible for oversight on design and implementation of products assigned to their team. This means they can take user stories and new features from idea to production unattended. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management. How You'll Do It Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality. Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in technical skillset through mentorship. Has oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them. Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions. Achieves team commitments through collaboration with other engineers, architects, product owners and data scientists. Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data. Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform. Qualifications You'll Need The Basics Bachelors Degree in Computer Science, Engineering, Informatics, Information Security, Information Technology or related field Experience in Information Technology, (Software) Engineering or related Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale. Physical and Cognitive Requirements The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws: Primarily remain in a stationary position. No required movement about the work environment to complete the major responsibilities of the job. Primarily performed indoors in an office setting. Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator. Ability to communicate verbally and in written form. Bonus Points If You Have Experience as part of an Agile engineering or development team Experience of mentoring teams in testing best practices Strong experience of testing within the full software development lifecycle (Unit, functional, performance & security) Experience testing and implementing API service architecture with Spring Boot Experience with CI/CD pipelines with Jenkins or similar External applicants will be required to perform a technical interview. Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United Kingdom on a full-time basis. Application Deadline: The application window for this position is anticipated to close on Apr-02-2025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation. Positions marked as remote eligible are limited to remote locations within the country in which the position is based. Applicants must be 18 or older at the time of hire.
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: We're seeking an innovative and experienced technologist to join our Global Specialist Solutions Engineering team-a group dedicated to solving complex, real-time data challenges and optimizing Data Lake, Data Warehouse, and Data Analytics architectures. As a trusted technical advisor, you will collaborate closely with product management and engineering, serving as a key advocate for Confluent's platform. This role demands expertise in Kafka, distributed systems, and pre-sales engineering, while engaging with cross-functional teams to drive product success and customer outcomes. Ideal candidates may have backgrounds in Technical Account Management, Sales Engineering, or Professional Services. What You Will Do: Enable Customers with Real-Time Architectures Understand customer challenges with traditional Data Warehouses, Data Lakes, and Batch Analytics workflows, and guide them toward real-time, distributed architectures using Kafka, Flink, Kafka Streams, and modern ETL/ELT frameworks. Help customers optimize their data platforms by focusing on early-stage data enrichment, filtering, and processing for better performance and cost efficiency. Provide Technical Expertise Assist customers and sales teams in designing, deploying, and optimizing real-time data streaming platforms, integrating Kafka with distributed processing, and ensuring alignment with business goals. Architect solutions to unify operational and analytical workloads, enabling a data mesh or streaming-first architecture. Partner with sales, product management, marketing, and engineering to translate customer feedback into continuous improvements for Confluent's platform. Work cross-functionally to refine product messaging and technical positioning, ensuring clarity and alignment with customer needs. Drive Thought Leadership Lead technical workshops, webinars, and sessions to showcase the advanced capabilities of Kafka, Kafka Connect, Flink, and other data streaming tools. Advocate for best practices in real-time architectures through case studies, training sessions, and field engagement with both technical and business stakeholders. What You Will Bring: Core Skills & Expertise Proven experience architecting and implementing enterprise-scale, real-time data streaming solutions with Kafka and related ecosystems. Deep knowledge of Data Warehouses, Data Lakes, Lakehouses, and Distributed Systems, including CDC Connectors, ETL tools, and RDBMS platforms. Expertise in distributed data processing, data governance, and real-time analytics. Hands-on programming experience with Python, Java, or similar, especially for building streaming and ETL pipelines. Customer & Business Impact A demonstrated ability to become a trusted advisor to Chief Data Officers, Data Engineers, Data Scientists, Data Analysts, and Architects, driving customer success and platform adoption. Strong pre-sales engineering skills, including technical presentations, proof-of-concept development, and hands-on solution design. Proven ability to work across cross-functional teams, including product management, engineering, and marketing, to drive shared outcomes. A passion for learning and adapting to emerging technologies, particularly within the Kafka ecosystem. What Gives You an Edge: Extensive experience with modern data architectures, including Data Warehouses, Lakehouses, data formats (e.g., Avro, Parquet), and cloud-native platforms (AWS, GCP, Azure). Expertise in integrating Kafka-based solutions with cloud services and enterprise data ecosystems. Demonstrated success designing and implementing distributed streaming systems for large-scale enterprises, including Fortune 1000 companies. Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $136,700 - 160,650, a competitive equity package and is also eligible for additional commission and/or bonus pay. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE. Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
10/05/2025
Full time
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: We're seeking an innovative and experienced technologist to join our Global Specialist Solutions Engineering team-a group dedicated to solving complex, real-time data challenges and optimizing Data Lake, Data Warehouse, and Data Analytics architectures. As a trusted technical advisor, you will collaborate closely with product management and engineering, serving as a key advocate for Confluent's platform. This role demands expertise in Kafka, distributed systems, and pre-sales engineering, while engaging with cross-functional teams to drive product success and customer outcomes. Ideal candidates may have backgrounds in Technical Account Management, Sales Engineering, or Professional Services. What You Will Do: Enable Customers with Real-Time Architectures Understand customer challenges with traditional Data Warehouses, Data Lakes, and Batch Analytics workflows, and guide them toward real-time, distributed architectures using Kafka, Flink, Kafka Streams, and modern ETL/ELT frameworks. Help customers optimize their data platforms by focusing on early-stage data enrichment, filtering, and processing for better performance and cost efficiency. Provide Technical Expertise Assist customers and sales teams in designing, deploying, and optimizing real-time data streaming platforms, integrating Kafka with distributed processing, and ensuring alignment with business goals. Architect solutions to unify operational and analytical workloads, enabling a data mesh or streaming-first architecture. Partner with sales, product management, marketing, and engineering to translate customer feedback into continuous improvements for Confluent's platform. Work cross-functionally to refine product messaging and technical positioning, ensuring clarity and alignment with customer needs. Drive Thought Leadership Lead technical workshops, webinars, and sessions to showcase the advanced capabilities of Kafka, Kafka Connect, Flink, and other data streaming tools. Advocate for best practices in real-time architectures through case studies, training sessions, and field engagement with both technical and business stakeholders. What You Will Bring: Core Skills & Expertise Proven experience architecting and implementing enterprise-scale, real-time data streaming solutions with Kafka and related ecosystems. Deep knowledge of Data Warehouses, Data Lakes, Lakehouses, and Distributed Systems, including CDC Connectors, ETL tools, and RDBMS platforms. Expertise in distributed data processing, data governance, and real-time analytics. Hands-on programming experience with Python, Java, or similar, especially for building streaming and ETL pipelines. Customer & Business Impact A demonstrated ability to become a trusted advisor to Chief Data Officers, Data Engineers, Data Scientists, Data Analysts, and Architects, driving customer success and platform adoption. Strong pre-sales engineering skills, including technical presentations, proof-of-concept development, and hands-on solution design. Proven ability to work across cross-functional teams, including product management, engineering, and marketing, to drive shared outcomes. A passion for learning and adapting to emerging technologies, particularly within the Kafka ecosystem. What Gives You an Edge: Extensive experience with modern data architectures, including Data Warehouses, Lakehouses, data formats (e.g., Avro, Parquet), and cloud-native platforms (AWS, GCP, Azure). Expertise in integrating Kafka-based solutions with cloud services and enterprise data ecosystems. Demonstrated success designing and implementing distributed streaming systems for large-scale enterprises, including Fortune 1000 companies. Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $136,700 - 160,650, a competitive equity package and is also eligible for additional commission and/or bonus pay. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE. Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
Overview Element has an opportunity for an IT Support Engineer - Level 2 to become part of our growing IT Operations Team. This role will primarily focus on providing 2nd Line support and IT Project resource to our Americas colleagues and business. We are looking for an experienced and confident individual who will be responsible for supporting, maintaining, and upgrading existing systems. Someone who is technically strong in Windows, Office, Office 365, Networking and Windows Server technologies and can assist with BAU Support, new implementations, migrations, and project work. This position is onsite 5 days a week. Responsibilities 2nd line IT support - Windows OS, Skype, Microsoft Office, DCRM Administration of Microsoft AD, ADAXES Mobile Phone configuration and support using MDM (Mobile Iron / Intune) Participation in incident, problem and change management adhering to ITIL best practices using ServiceNow General PC / Server administration and maintenance including fault diagnostics and performance improvements New implementations, migrations, and upgrades Regional escalation point of contact for IT teams with smart-hands infrastructure support Skills / Qualifications Computer related Degree, Microsoft Certification, or equivalent work experience Minimum of 3 years experience with server/desktop support Significant server / desktop support experience Excellent customer service skills and ability to work on own initiative Understands the importance of documentation and on-time delivery Sound backup and system security practices Experience leading rollouts, migrations, and system upgrades Very teamwork oriented Must be a US citizen to work with ITAR controlled areas and data National travel required up to approximately 25% Required experience with the following: Windows Server 2008, 2012 and 2016, including DNS, DHCP & WINS Microsoft Active Directory Microsoft Windows 10, 7 and XP MS Teams, Ring Central Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws.
10/05/2025
Full time
Overview Element has an opportunity for an IT Support Engineer - Level 2 to become part of our growing IT Operations Team. This role will primarily focus on providing 2nd Line support and IT Project resource to our Americas colleagues and business. We are looking for an experienced and confident individual who will be responsible for supporting, maintaining, and upgrading existing systems. Someone who is technically strong in Windows, Office, Office 365, Networking and Windows Server technologies and can assist with BAU Support, new implementations, migrations, and project work. This position is onsite 5 days a week. Responsibilities 2nd line IT support - Windows OS, Skype, Microsoft Office, DCRM Administration of Microsoft AD, ADAXES Mobile Phone configuration and support using MDM (Mobile Iron / Intune) Participation in incident, problem and change management adhering to ITIL best practices using ServiceNow General PC / Server administration and maintenance including fault diagnostics and performance improvements New implementations, migrations, and upgrades Regional escalation point of contact for IT teams with smart-hands infrastructure support Skills / Qualifications Computer related Degree, Microsoft Certification, or equivalent work experience Minimum of 3 years experience with server/desktop support Significant server / desktop support experience Excellent customer service skills and ability to work on own initiative Understands the importance of documentation and on-time delivery Sound backup and system security practices Experience leading rollouts, migrations, and system upgrades Very teamwork oriented Must be a US citizen to work with ITAR controlled areas and data National travel required up to approximately 25% Required experience with the following: Windows Server 2008, 2012 and 2016, including DNS, DHCP & WINS Microsoft Active Directory Microsoft Windows 10, 7 and XP MS Teams, Ring Central Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws.
Grayce is looking for ambitious and analytical graduates to join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data-driven decision-making, business intelligence, and technology solutions. You will receive specialist training, mentorship, and development opportunities through Grayce's Accelerated Development Programme, helping you build a strong foundation for a successful career in data analytics. If you are eager to apply your analytical skills and contribute to transformational projects, this role offers a fantastic opportunity to develop technical expertise, problem-solving abilities, and industry experience. About Grayce For over a decade, Grayce has been transforming the way businesses approach change and transformation. Established in 2012, Grayce provides a cost-effective, long-term solution to help organisations grow through its Development and Delivery Model. The company has successfully launched the careers of thousands of Analysts, shaping the next generation of digital leaders and innovators. Grayce collaborates with global organisations across industries, equipping them with change management, technology, and data capabilities. By hiring, training, and deploying early-career professionals, Grayce delivers high-performing talent ready to drive transformation. With extensive experience in talent development and deployment, Grayce offers a scalable, low-risk solution that enables businesses to build long-term capabilities. Through its Accelerated Development Programme, the company has supported over 2,000 projects across more than 100 organisations, ensuring sustainable growth and innovation. Position: Graduate Data Analyst Job Type: Full Time Location: London About the Role Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Responsibilities Understanding the types of roles available to a Graduate Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing. Required Documents CV/Resume Application Process Join Grayce today and take the first step toward becoming a future leader in data analytics. APPLY NOW
10/05/2025
Full time
Grayce is looking for ambitious and analytical graduates to join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data-driven decision-making, business intelligence, and technology solutions. You will receive specialist training, mentorship, and development opportunities through Grayce's Accelerated Development Programme, helping you build a strong foundation for a successful career in data analytics. If you are eager to apply your analytical skills and contribute to transformational projects, this role offers a fantastic opportunity to develop technical expertise, problem-solving abilities, and industry experience. About Grayce For over a decade, Grayce has been transforming the way businesses approach change and transformation. Established in 2012, Grayce provides a cost-effective, long-term solution to help organisations grow through its Development and Delivery Model. The company has successfully launched the careers of thousands of Analysts, shaping the next generation of digital leaders and innovators. Grayce collaborates with global organisations across industries, equipping them with change management, technology, and data capabilities. By hiring, training, and deploying early-career professionals, Grayce delivers high-performing talent ready to drive transformation. With extensive experience in talent development and deployment, Grayce offers a scalable, low-risk solution that enables businesses to build long-term capabilities. Through its Accelerated Development Programme, the company has supported over 2,000 projects across more than 100 organisations, ensuring sustainable growth and innovation. Position: Graduate Data Analyst Job Type: Full Time Location: London About the Role Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Responsibilities Understanding the types of roles available to a Graduate Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing. Required Documents CV/Resume Application Process Join Grayce today and take the first step toward becoming a future leader in data analytics. APPLY NOW
Data Analyst: Marketing & Data Storytelling at Constructor Constructor, a leading tech company based in London, is looking for a talented Data Analyst to specialize in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. Position: Data Analyst Salary: £45,000 to £68,000 a year Job Type: Full Time Location: Remote (London, UK) About the Role At Constructor, we believe in the power of data to tell compelling stories. Our Marketing Data Storytelling program transforms complex retail data into meaningful insights that resonate with the public, industry professionals, and media. Through aggregated data analysis, we uncover trends, benchmarks, and unique insights about Ecommerce search and product discovery, providing valuable information to the broader retail and technology communities. As a Data Analyst in this team, you will collaborate with marketers, data scientists, and engineers to derive actionable insights from large datasets and translate them into engaging reports, blog posts, and thought leadership pieces that showcase the impact of Constructor's technology in the ecommerce space. Responsibilities Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery. Work with the content team to develop compelling data-driven narratives to support Constructor's marketing initiatives, including blog posts, white papers, and industry reports. Work closely with the marketing and content teams to translate analytical findings into accessible and visually appealing data visualizations and insights. Identify patterns in search and discovery behaviors across industries to help inform retailers and industry professionals. Develop and maintain dashboards and reports that highlight industry benchmarks and Constructor's impact. Partner with internal data science and engineering teams to ensure the accuracy and integrity of the data used for storytelling initiatives. Requirements You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are proactive and thrive in a fast-paced, remote-first environment.
10/05/2025
Full time
Data Analyst: Marketing & Data Storytelling at Constructor Constructor, a leading tech company based in London, is looking for a talented Data Analyst to specialize in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. Position: Data Analyst Salary: £45,000 to £68,000 a year Job Type: Full Time Location: Remote (London, UK) About the Role At Constructor, we believe in the power of data to tell compelling stories. Our Marketing Data Storytelling program transforms complex retail data into meaningful insights that resonate with the public, industry professionals, and media. Through aggregated data analysis, we uncover trends, benchmarks, and unique insights about Ecommerce search and product discovery, providing valuable information to the broader retail and technology communities. As a Data Analyst in this team, you will collaborate with marketers, data scientists, and engineers to derive actionable insights from large datasets and translate them into engaging reports, blog posts, and thought leadership pieces that showcase the impact of Constructor's technology in the ecommerce space. Responsibilities Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery. Work with the content team to develop compelling data-driven narratives to support Constructor's marketing initiatives, including blog posts, white papers, and industry reports. Work closely with the marketing and content teams to translate analytical findings into accessible and visually appealing data visualizations and insights. Identify patterns in search and discovery behaviors across industries to help inform retailers and industry professionals. Develop and maintain dashboards and reports that highlight industry benchmarks and Constructor's impact. Partner with internal data science and engineering teams to ensure the accuracy and integrity of the data used for storytelling initiatives. Requirements You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are proactive and thrive in a fast-paced, remote-first environment.
Data Engineer - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: £40,000-£65,000 + Equity Our client, one of the UK's fastest-growing and most exciting tech start-ups, is looking for a talented Data Engineer to help shape the future of its data strategy. Named one of LinkedIn's Top 10 UK Start-ups and now operating Nation-wide, this is a unique opportunity to join a high-growth business that's already making a meaningful impact and has lots more to come! The Role: As a Data Engineer, you'll design, build and maintain scalable data pipelines and architecture that support analytics feeding directly into customer-facing mobile and web applications, as well as internal tools used to drive strategic decisions. Key Responsibilities: Build and maintain scalable data pipelines to support both internal dashboards and customer-facing products Design and implement efficient data architecture for optimal storage, retrieval, and processing Develop ETL processes to ingest, transform, and load data from various sources, particularly APIs Collaborate with data scientists and software engineers to align data strategies with app development Work with internal stakeholders to shape and meet business data needs Maintain documentation, monitor pipeline performance, and resolve issues as they arise About You: Strong problem-solving skills, demonstrated through academic or professional experience In-depth understanding of data architecture, data-modelling, and best practices in data engineering Proficient in Python and SQL; experience with data processing frameworks such as Airflow, TensorFlow, or Spark is advantageous Willingness to gain working knowledge of backend development (e.g., Python with Django) for pipeline integration Familiarity with data versioning, quality management, and CI/CD pipelines Experience with cloud platforms (e.g., AWS or Azure) and data tools such as Terraform or SageMaker is a plus Ideally, some hands-on experience building and maintaining data pipelines in a production environment What's on Offer: Competitive salary: £40,000-£65,000, dependent on skills and experience Private medical insurance Equity in a well-funded, high-growth start-up Office gym membership Dog-friendly office located in the heart of Camden A supportive, social, and dynamic team culture This is an exceptional opportunity for a data engineer who wants to make an impact at scale, grow in a supportive environment, and be part of an ambitious team at the forefront of UK tech innovation. If you're ready for your next challenge, we'd love to hear from you.
10/05/2025
Full time
Data Engineer - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: £40,000-£65,000 + Equity Our client, one of the UK's fastest-growing and most exciting tech start-ups, is looking for a talented Data Engineer to help shape the future of its data strategy. Named one of LinkedIn's Top 10 UK Start-ups and now operating Nation-wide, this is a unique opportunity to join a high-growth business that's already making a meaningful impact and has lots more to come! The Role: As a Data Engineer, you'll design, build and maintain scalable data pipelines and architecture that support analytics feeding directly into customer-facing mobile and web applications, as well as internal tools used to drive strategic decisions. Key Responsibilities: Build and maintain scalable data pipelines to support both internal dashboards and customer-facing products Design and implement efficient data architecture for optimal storage, retrieval, and processing Develop ETL processes to ingest, transform, and load data from various sources, particularly APIs Collaborate with data scientists and software engineers to align data strategies with app development Work with internal stakeholders to shape and meet business data needs Maintain documentation, monitor pipeline performance, and resolve issues as they arise About You: Strong problem-solving skills, demonstrated through academic or professional experience In-depth understanding of data architecture, data-modelling, and best practices in data engineering Proficient in Python and SQL; experience with data processing frameworks such as Airflow, TensorFlow, or Spark is advantageous Willingness to gain working knowledge of backend development (e.g., Python with Django) for pipeline integration Familiarity with data versioning, quality management, and CI/CD pipelines Experience with cloud platforms (e.g., AWS or Azure) and data tools such as Terraform or SageMaker is a plus Ideally, some hands-on experience building and maintaining data pipelines in a production environment What's on Offer: Competitive salary: £40,000-£65,000, dependent on skills and experience Private medical insurance Equity in a well-funded, high-growth start-up Office gym membership Dog-friendly office located in the heart of Camden A supportive, social, and dynamic team culture This is an exceptional opportunity for a data engineer who wants to make an impact at scale, grow in a supportive environment, and be part of an ambitious team at the forefront of UK tech innovation. If you're ready for your next challenge, we'd love to hear from you.
Ignite Digital Search Limited
Bristol, Gloucestershire
If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to the cloud with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics. Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape. Champion coding best practices, version control, and testing within the data science team. Collaborate with internal teams and external partners, ensuring alignment with business goals. About you. We would love to talk to you if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative AI and experience using LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse. Competitive salary + 10% discretionary bonus. Exceptional pension benefits with a 27% Civil Service pension scheme. A hybrid working model with flexibility. Collaborate with cross-functional teams and external data partners. Excellent career development opportunities with continuous learning and leadership potential. This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you're passionate about data science, cloud transformation, and predictive modelling, we'd love to hear from you! Apply today and be part of our exciting data journey!
10/05/2025
Full time
If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to the cloud with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics. Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape. Champion coding best practices, version control, and testing within the data science team. Collaborate with internal teams and external partners, ensuring alignment with business goals. About you. We would love to talk to you if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative AI and experience using LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse. Competitive salary + 10% discretionary bonus. Exceptional pension benefits with a 27% Civil Service pension scheme. A hybrid working model with flexibility. Collaborate with cross-functional teams and external data partners. Excellent career development opportunities with continuous learning and leadership potential. This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you're passionate about data science, cloud transformation, and predictive modelling, we'd love to hear from you! Apply today and be part of our exciting data journey!
Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status.
10/05/2025
Full time
Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status.
Das erwartet dich Ein Mitglied unserer Unternehmensgruppe wächst und sucht genau DICH! Du bringst Erfahrung im Bereich Datenanalyse, Data Science und Machine Learning mit? Dann bist du an dieser Stelle richtig! Die Pierer Innovation GmbH unterstützt Unternehmen innerhalb der Pierer Mobility Group sowie externen Auftraggebern bei der Gestaltung und Umsetzung ihrer Digitalisierungsstrategie. Der Fokus liegt auf der Konzeption, Entwicklung und Implementierung datengetriebener Use Cases. DIESE AUFGABEN ERWARTEN DICH BEI UNS Du entwickelst eigenständig innovative Konzepte und Lösungen in den Bereichen AI & Data Science. Du nutzt statistische Methoden und Algorithmen zur Lösung komplexer Geschäftsprobleme. Du bist verantwortlich für die Entwicklung und das Training von Machine Learning Modellen. Du profitierst von einer offenen und freien Arbeitsatmosphäre, die es dir ermöglicht, an innovativen Konzepten zu arbeiten. Du arbeitest an zukunftsträchtigen Themen mit externen Forschungspartnern und Universitäten. Das bringst du mit Erfolgreich abgeschlossenes Studium in Data Science, Statistik, Informatik oder anderem MINT-Fach Berufserfahrung und fundierte Kenntnisse im Bereich Data Analytics, Machine Learning und Data Science Erfahrung in der Entwicklung von Prototypen, Datenaufbereitung und Modeltraining (Python, ML Studio, Databricks, ) Erfahrung in der Umsetzung von Projekten im Bereich generative AI und AI Agents (OpenAI, langchain, MS Copilot Extensions) Erfahrung mit Azure Cloud Services von Vorteil Kommunikationsstärke, soziale Kompetenz und hohe Lernbereitschaft Selbständiger und eigenverantwortlicher Arbeitsstil Wir bieten Ein spannendes Aufgabengebiet in einem jungen, dynamischen Team Flexible Arbeitszeiten und die Möglichkeit, bis zu 40% remote zu arbeiten Die Option, flexibel an einem unserer Standorte in Wels, Linz oder Salzburg zu arbeiten Zeitliche und finanzielle Ressourcen, um dich fachlich weiterzubilden Teilnahme an Fachkonferenzen und vieles mehr Kollektivvertrag Wir bieten ein attraktives und leistungsbezogenes Gehalt, das sich an der Qualifikation und der Berufserfahrung orientiert. Dieses kann deutlich über dem Kollektivvertrag liegen (KV-Minimum auf Basis einer Vollzeitbeschäftigung ist lt. IT-KV 15/III(1)-ST1 Regelstufe 43.316,- brutto pro Jahr)
10/05/2025
Full time
Das erwartet dich Ein Mitglied unserer Unternehmensgruppe wächst und sucht genau DICH! Du bringst Erfahrung im Bereich Datenanalyse, Data Science und Machine Learning mit? Dann bist du an dieser Stelle richtig! Die Pierer Innovation GmbH unterstützt Unternehmen innerhalb der Pierer Mobility Group sowie externen Auftraggebern bei der Gestaltung und Umsetzung ihrer Digitalisierungsstrategie. Der Fokus liegt auf der Konzeption, Entwicklung und Implementierung datengetriebener Use Cases. DIESE AUFGABEN ERWARTEN DICH BEI UNS Du entwickelst eigenständig innovative Konzepte und Lösungen in den Bereichen AI & Data Science. Du nutzt statistische Methoden und Algorithmen zur Lösung komplexer Geschäftsprobleme. Du bist verantwortlich für die Entwicklung und das Training von Machine Learning Modellen. Du profitierst von einer offenen und freien Arbeitsatmosphäre, die es dir ermöglicht, an innovativen Konzepten zu arbeiten. Du arbeitest an zukunftsträchtigen Themen mit externen Forschungspartnern und Universitäten. Das bringst du mit Erfolgreich abgeschlossenes Studium in Data Science, Statistik, Informatik oder anderem MINT-Fach Berufserfahrung und fundierte Kenntnisse im Bereich Data Analytics, Machine Learning und Data Science Erfahrung in der Entwicklung von Prototypen, Datenaufbereitung und Modeltraining (Python, ML Studio, Databricks, ) Erfahrung in der Umsetzung von Projekten im Bereich generative AI und AI Agents (OpenAI, langchain, MS Copilot Extensions) Erfahrung mit Azure Cloud Services von Vorteil Kommunikationsstärke, soziale Kompetenz und hohe Lernbereitschaft Selbständiger und eigenverantwortlicher Arbeitsstil Wir bieten Ein spannendes Aufgabengebiet in einem jungen, dynamischen Team Flexible Arbeitszeiten und die Möglichkeit, bis zu 40% remote zu arbeiten Die Option, flexibel an einem unserer Standorte in Wels, Linz oder Salzburg zu arbeiten Zeitliche und finanzielle Ressourcen, um dich fachlich weiterzubilden Teilnahme an Fachkonferenzen und vieles mehr Kollektivvertrag Wir bieten ein attraktives und leistungsbezogenes Gehalt, das sich an der Qualifikation und der Berufserfahrung orientiert. Dieses kann deutlich über dem Kollektivvertrag liegen (KV-Minimum auf Basis einer Vollzeitbeschäftigung ist lt. IT-KV 15/III(1)-ST1 Regelstufe 43.316,- brutto pro Jahr)
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organisations around the world use data. In this role, you'll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to Palantir Gotham, Palantir Apollo, or Palantir Foundry: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. Palantir's Product Development organisation is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll also have the opportunity to learn about other business areas. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping, to execution and shipping, all while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SWE principles include: Ownership: We see projects through from beginning to end in spite of obstacles we may encounter. Collaboration: We work internally with people from a variety of backgrounds - such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems. Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn't matter what languages you know when you join us; what matters is that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you're a former university Teaching Assistant, switched to computer science recently, or are a hackathon enthusiast - you'll build your skills to apply the best technology to solve a given problem. Right now, we use: A variety of languages, including Java and Go for backend and Typescript for frontend Open-source technologies like Cassandra, Spark, Elasticsearch, React, and Redux Industry-standard build tooling, including Gradle, Webpack, and GitHub What We Value Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members. Willingness to learn and make decisions independently, and the ability to ask questions effectively. What We Require Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. To apply, please submit the following: An updated resume / CV - please do so in PDF format Thoughtful responses to our application questions Offer Deadline In an effort to build more transparency into our recruitment process, we'd like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
10/05/2025
Full time
A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Software Engineers at Palantir build software at scale to transform how organisations around the world use data. In this role, you'll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to Palantir Gotham, Palantir Apollo, or Palantir Foundry: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. Palantir's Product Development organisation is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll also have the opportunity to learn about other business areas. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping, to execution and shipping, all while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SWE principles include: Ownership: We see projects through from beginning to end in spite of obstacles we may encounter. Collaboration: We work internally with people from a variety of backgrounds - such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems. Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn't matter what languages you know when you join us; what matters is that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you're a former university Teaching Assistant, switched to computer science recently, or are a hackathon enthusiast - you'll build your skills to apply the best technology to solve a given problem. Right now, we use: A variety of languages, including Java and Go for backend and Typescript for frontend Open-source technologies like Cassandra, Spark, Elasticsearch, React, and Redux Industry-standard build tooling, including Gradle, Webpack, and GitHub What We Value Ability to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members. Willingness to learn and make decisions independently, and the ability to ask questions effectively. What We Require Engineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. To apply, please submit the following: An updated resume / CV - please do so in PDF format Thoughtful responses to our application questions Offer Deadline In an effort to build more transparency into our recruitment process, we'd like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.
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