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)
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.
Job Description Join a dynamic product team that continually strives to innovate, develop, and deliver exceptional technology initiatives. As a Product Manager within the Fusion team, you will serve as a crucial point of contact for both clients and internal teams, comprehending their business necessities and technical prerequisites. Your role will involve ensuring a smooth client experience by striking a balance between support, service, and relationship management. Adaptability, innovation, and a dedication to continuous learning are essential in this role to facilitate Fusion's growth. Job responsibilities Provide exceptional support and guidance to clients through various channels (in-person, video conference, email, phone) ensuring they are fully equipped to utilize Fusion capabilities Act as a subject matter expert on Fusion, keeping abreast of latest product developments while providing insights and sharing best practice to clients and internal teams Design and implement efficient processes, including the creation of runbooks, to streamline client interactions and identify opportunities for process automation Develop and nurture strong relationships with clients and internal teams to gain a deep understanding of their business objectives and success criteria Partner with Fusion stakeholders during the implementation process of Fusion solutions, ensuring timely delivery and alignment with client expectations Collaborate with internal teams to identify key stakeholders, set project goals, and ensure accountability throughout the implementation lifecycle Understand the data/technology landscape across Financial Institutions and data management trends and challenges. Required qualifications, capabilities, and skills 5 + year Formal training or certification on data science or software engineering concepts and 5 + years of applied experience Proficiency in Python, SQL and familiarity with other database technologies Proven track record of successfully managing client relationships and delivering solutions in a SaaS, Data, or Technology environment Exceptional communication and interpersonal skills, with a strong emphasis on client satisfaction and relationship building Proven ability to work collaboratively within cross-functional teams and independently when necessary Strong problem-solving skills, with the ability to identify issues and determine when escalation is required Experience in providing training and support to clients, enhancing their understanding and utilization of cloud-based data management platforms Comprehensive understanding of enterprise solutions, including cloud technologies, data management, and APIs Bachelor's degree in Business, Data Science, Information Technology, or a related field Preferred qualifications, capabilities, and skills Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools and techniques, to enhance client solutions and drive innovation. Understanding of financial market data and fund services, including familiarity with major data vendors, to effectively address client needs and deliver tailored solutions using comprehensive data sources and analytics specific to the financial and fund services sectors Proven ability to integrate industry-specific insights into client solutions, enhancing the value and relevance of the Fusion platform for financial and fund services clients Strong analytical skills to interpret complex data sets and provide actionable insights that align with client objectives in the financial industry About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
14/05/2025
Full time
Job Description Join a dynamic product team that continually strives to innovate, develop, and deliver exceptional technology initiatives. As a Product Manager within the Fusion team, you will serve as a crucial point of contact for both clients and internal teams, comprehending their business necessities and technical prerequisites. Your role will involve ensuring a smooth client experience by striking a balance between support, service, and relationship management. Adaptability, innovation, and a dedication to continuous learning are essential in this role to facilitate Fusion's growth. Job responsibilities Provide exceptional support and guidance to clients through various channels (in-person, video conference, email, phone) ensuring they are fully equipped to utilize Fusion capabilities Act as a subject matter expert on Fusion, keeping abreast of latest product developments while providing insights and sharing best practice to clients and internal teams Design and implement efficient processes, including the creation of runbooks, to streamline client interactions and identify opportunities for process automation Develop and nurture strong relationships with clients and internal teams to gain a deep understanding of their business objectives and success criteria Partner with Fusion stakeholders during the implementation process of Fusion solutions, ensuring timely delivery and alignment with client expectations Collaborate with internal teams to identify key stakeholders, set project goals, and ensure accountability throughout the implementation lifecycle Understand the data/technology landscape across Financial Institutions and data management trends and challenges. Required qualifications, capabilities, and skills 5 + year Formal training or certification on data science or software engineering concepts and 5 + years of applied experience Proficiency in Python, SQL and familiarity with other database technologies Proven track record of successfully managing client relationships and delivering solutions in a SaaS, Data, or Technology environment Exceptional communication and interpersonal skills, with a strong emphasis on client satisfaction and relationship building Proven ability to work collaboratively within cross-functional teams and independently when necessary Strong problem-solving skills, with the ability to identify issues and determine when escalation is required Experience in providing training and support to clients, enhancing their understanding and utilization of cloud-based data management platforms Comprehensive understanding of enterprise solutions, including cloud technologies, data management, and APIs Bachelor's degree in Business, Data Science, Information Technology, or a related field Preferred qualifications, capabilities, and skills Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools and techniques, to enhance client solutions and drive innovation. Understanding of financial market data and fund services, including familiarity with major data vendors, to effectively address client needs and deliver tailored solutions using comprehensive data sources and analytics specific to the financial and fund services sectors Proven ability to integrate industry-specific insights into client solutions, enhancing the value and relevance of the Fusion platform for financial and fund services clients Strong analytical skills to interpret complex data sets and provide actionable insights that align with client objectives in the financial industry About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
Job Description The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent UI/UX engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers and data scientists in building and maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production. Responsibilities Collaborate with data scientists and machine learning engineers to deliver user-centric AI products to production. Design and develop user interfaces using modern web technologies, ensuring seamless integration with backend systems. Create wireframes, storyboards, user flows, and process flows to effectively communicate interaction and design ideas. Build and maintain frontend interfaces leveraging frameworks like React or Vue.js. Rapidly prototype and iterate on UI designs to shorten development cycles for our AI/ML products. Ensure the scalability and responsiveness of UI components across various devices and platforms. Work closely with stakeholders to gather requirements and feedback, refining designs to meet user needs. Improve and maintain our automated CI/CD pipeline for frontend deployments. Enhance deployment velocity by streamlining the process for deploying UI components into production. Requirements Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience in UI/UX design and development, with a strong portfolio showcasing previous work. Proficiency in web development frameworks such as React, Vue.js, or similar. Strong skills in design tools like Figma, Sketch, or Adobe XD. Work-related experience in frontend engineering role. Passion for creating exceptional user experiences with attention to detail. Excellent problem-solving and debugging skills. Strong interpersonal skills; able to work independently and collaboratively in a team. Experience with containerization and infrastructure as code: Docker/Kubernetes/Terraform. Desirable Commitment to development best practices and code reviews. Enthusiasm for continuous learning and sharing best practices. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
14/05/2025
Full time
Job Description The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent UI/UX engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers and data scientists in building and maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production. Responsibilities Collaborate with data scientists and machine learning engineers to deliver user-centric AI products to production. Design and develop user interfaces using modern web technologies, ensuring seamless integration with backend systems. Create wireframes, storyboards, user flows, and process flows to effectively communicate interaction and design ideas. Build and maintain frontend interfaces leveraging frameworks like React or Vue.js. Rapidly prototype and iterate on UI designs to shorten development cycles for our AI/ML products. Ensure the scalability and responsiveness of UI components across various devices and platforms. Work closely with stakeholders to gather requirements and feedback, refining designs to meet user needs. Improve and maintain our automated CI/CD pipeline for frontend deployments. Enhance deployment velocity by streamlining the process for deploying UI components into production. Requirements Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience in UI/UX design and development, with a strong portfolio showcasing previous work. Proficiency in web development frameworks such as React, Vue.js, or similar. Strong skills in design tools like Figma, Sketch, or Adobe XD. Work-related experience in frontend engineering role. Passion for creating exceptional user experiences with attention to detail. Excellent problem-solving and debugging skills. Strong interpersonal skills; able to work independently and collaboratively in a team. Experience with containerization and infrastructure as code: Docker/Kubernetes/Terraform. Desirable Commitment to development best practices and code reviews. Enthusiasm for continuous learning and sharing best practices. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Job Description Are you ready to push the boundaries of what's possible in technology? At JPMorgan Chase, we offer you the opportunity to grow your career and make a significant impact. Join our dynamic team and be part of a culture that values diversity, equity, and inclusion. As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Banking (CIB) Markets Research Technology team, you will play a pivotal role in the design and delivery of top-tier technology products. Your work will involve challenging projects in cloud-native data, backend engineering, and AI/ML engineering, aiding in the industrialization of AI/ML models at a production scale. This hands-on engineering role will utilize your expertise to promote critical technology solutions across various business functions. Job Responsibilities: Execute software solutions, design, development, and technical troubleshooting. Create secure and high-quality production code and maintain algorithms. Produce architecture and design artifacts for complex applications. Build engineering stacks for Data and AIML products, including data engineering, backend engineering, Cloud infra, DevOps, and MLOps. Design and implement data engineering solutions using modern big data technologies. Contribute to software engineering communities of practice and explore new technologies. Foster a team culture of diversity, equity, inclusion, and respect. Embrace a passion for learning, problem-solving, and creative thinking. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Hands-on experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Experience in developing, debugging, and maintaining code in a corporate environment. Knowledge of the Software Development Life Cycle. Proven track record in system design, architecting, and developing microservices and distributed systems. Experience with Cloud services, Infrastructure as Code, and containerized application development. Practical experience developing production-scale cloud-native data engineering solutions. Familiarity with Cloud Data engineering services and MLOps. Ability to convey design choices and communicate effectively with stakeholders. Preferred Qualifications, Capabilities, and Skills: Experience with data and ML engineering in commercial settings. Experience working on recommendation systems or other AI/ML systems. Practical experience with Kubernetes, EKS, Docker, MLOps, and Spark. Prior experience collaborating with data scientists. Required or Additional Information: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
14/05/2025
Full time
Job Description Are you ready to push the boundaries of what's possible in technology? At JPMorgan Chase, we offer you the opportunity to grow your career and make a significant impact. Join our dynamic team and be part of a culture that values diversity, equity, and inclusion. As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Banking (CIB) Markets Research Technology team, you will play a pivotal role in the design and delivery of top-tier technology products. Your work will involve challenging projects in cloud-native data, backend engineering, and AI/ML engineering, aiding in the industrialization of AI/ML models at a production scale. This hands-on engineering role will utilize your expertise to promote critical technology solutions across various business functions. Job Responsibilities: Execute software solutions, design, development, and technical troubleshooting. Create secure and high-quality production code and maintain algorithms. Produce architecture and design artifacts for complex applications. Build engineering stacks for Data and AIML products, including data engineering, backend engineering, Cloud infra, DevOps, and MLOps. Design and implement data engineering solutions using modern big data technologies. Contribute to software engineering communities of practice and explore new technologies. Foster a team culture of diversity, equity, inclusion, and respect. Embrace a passion for learning, problem-solving, and creative thinking. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Hands-on experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Experience in developing, debugging, and maintaining code in a corporate environment. Knowledge of the Software Development Life Cycle. Proven track record in system design, architecting, and developing microservices and distributed systems. Experience with Cloud services, Infrastructure as Code, and containerized application development. Practical experience developing production-scale cloud-native data engineering solutions. Familiarity with Cloud Data engineering services and MLOps. Ability to convey design choices and communicate effectively with stakeholders. Preferred Qualifications, Capabilities, and Skills: Experience with data and ML engineering in commercial settings. Experience working on recommendation systems or other AI/ML systems. Practical experience with Kubernetes, EKS, Docker, MLOps, and Spark. Prior experience collaborating with data scientists. Required or Additional Information: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Job Description Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security, as well as the Azure ecosystem. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems. Utilize operational skills to provide impactful recommendations for product, process, or policy improvements. Collaborate with the Product team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience with at least one programming language (Python/Java/Rust) Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
14/05/2025
Full time
Job Description Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security, as well as the Azure ecosystem. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems. Utilize operational skills to provide impactful recommendations for product, process, or policy improvements. Collaborate with the Product team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience with at least one programming language (Python/Java/Rust) Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
What you'll be doing Future are seeking an experienced AI Automation Specialist This role is pivotal in designing, building, and deploying applied AI and automation solutions focused on enhancing Future's Search Engine Optimization (SEO) and AI-driven Optimisation (AIO - e.g., AI for content performance, audience insights) capabilities. You will collaborate with SEO specialists, Data Scientists, Editorial teams, Product Managers, and other stakeholders to identify opportunities. You'll automate tasks such as technical SEO checks, keyword clustering, meta optimisation, content briefing, and predictive performance analysis using prompt engineering, fine-tuning, and modern AI infrastructure like vector databases and agents. Reporting to the Director of Engineer of Ai, you will lead delivery of AI-driven automation projects-from concept to deployment-ensuring scalable systems with CI/CD and automated testing for SEO and content accuracy. This includes identifying and automating inefficient SEO and content workflows using tools such as Temporal.io, n8n.io, or custom programming in Python, Go, or Typescript. You'll work with SEO, Data Science, Editorial, and Engineering teams to integrate AI solutions that meet real-world needs. You'll also be an internal advocate and expert for AI in SEO, staying ahead of industry trends, sharing best practices, and supporting knowledge transfer through clear documentation and team engagement. Experience that will put you ahead of the curve Experience in a technical role such as Automation, Software, or Applied AI/ML Engineering. Experience designing and implementing automation for content, data, or SEO using tools like Temporal, n8n, or custom scripts. Proficient in at least one high-level programming language such as Python, Go, or JavaScript/TypeScript. Practical experience applying LLMs, NLP, and embeddings to real-world problems in content, SEO, or data workflows. Experience with SEO principles and curiosity about how AI impacts search engine behaviour (AIO). Familiar with modern software engineering practices including Git, CI/CD, and automated testing. Clear communicator able to explain AI concepts and collaborate across all teams. Quick to adapt to new technologies, search trends, and AI developments. What's in it for you The expected range for this role is £40,000 - £60,000 This is a Remote-based role Plus more great perks, which include; Uncapped leave, because we trust you to manage your workload and time When we hit our targets, enjoy a share of our profits with a bonus Refer a friend and get rewarded when they join Future Wellbeing support with access to our Colleague Assistant Programmes Opportunity to purchase shares in Future, with our Share Incentive Plan Internal job family level Technology 3 Who are we We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces. We've got ambitious plans that further build on our growth momentum and unlock new opportunities - and we're looking for driven people who want to be a part of it! Our Future, Our Responsibility - Inclusion and Diversity at Future We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive. When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table - it's about making sure the table has room for everyone. Because a diverse team isn't just good for business. It's the Future. Find out more about Our Future, Our Responsibility on our website. Please let us know if you need any reasonable adjustments made so we can give you the best experience!
14/05/2025
Full time
What you'll be doing Future are seeking an experienced AI Automation Specialist This role is pivotal in designing, building, and deploying applied AI and automation solutions focused on enhancing Future's Search Engine Optimization (SEO) and AI-driven Optimisation (AIO - e.g., AI for content performance, audience insights) capabilities. You will collaborate with SEO specialists, Data Scientists, Editorial teams, Product Managers, and other stakeholders to identify opportunities. You'll automate tasks such as technical SEO checks, keyword clustering, meta optimisation, content briefing, and predictive performance analysis using prompt engineering, fine-tuning, and modern AI infrastructure like vector databases and agents. Reporting to the Director of Engineer of Ai, you will lead delivery of AI-driven automation projects-from concept to deployment-ensuring scalable systems with CI/CD and automated testing for SEO and content accuracy. This includes identifying and automating inefficient SEO and content workflows using tools such as Temporal.io, n8n.io, or custom programming in Python, Go, or Typescript. You'll work with SEO, Data Science, Editorial, and Engineering teams to integrate AI solutions that meet real-world needs. You'll also be an internal advocate and expert for AI in SEO, staying ahead of industry trends, sharing best practices, and supporting knowledge transfer through clear documentation and team engagement. Experience that will put you ahead of the curve Experience in a technical role such as Automation, Software, or Applied AI/ML Engineering. Experience designing and implementing automation for content, data, or SEO using tools like Temporal, n8n, or custom scripts. Proficient in at least one high-level programming language such as Python, Go, or JavaScript/TypeScript. Practical experience applying LLMs, NLP, and embeddings to real-world problems in content, SEO, or data workflows. Experience with SEO principles and curiosity about how AI impacts search engine behaviour (AIO). Familiar with modern software engineering practices including Git, CI/CD, and automated testing. Clear communicator able to explain AI concepts and collaborate across all teams. Quick to adapt to new technologies, search trends, and AI developments. What's in it for you The expected range for this role is £40,000 - £60,000 This is a Remote-based role Plus more great perks, which include; Uncapped leave, because we trust you to manage your workload and time When we hit our targets, enjoy a share of our profits with a bonus Refer a friend and get rewarded when they join Future Wellbeing support with access to our Colleague Assistant Programmes Opportunity to purchase shares in Future, with our Share Incentive Plan Internal job family level Technology 3 Who are we We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces. We've got ambitious plans that further build on our growth momentum and unlock new opportunities - and we're looking for driven people who want to be a part of it! Our Future, Our Responsibility - Inclusion and Diversity at Future We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive. When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table - it's about making sure the table has room for everyone. Because a diverse team isn't just good for business. It's the Future. Find out more about Our Future, Our Responsibility on our website. Please let us know if you need any reasonable adjustments made so we can give you the best experience!
Job Description The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent data engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers and data scientists in building and maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production. Responsibilities Collaborate with data scientists and research/machine learning engineers to deliver products to production. Build and maintain scalable infrastructure as code in the cloud (private & public). Manage infrastructure for model training/serving and governance. Manage data infrastructure supporting the inference pipelines. Contribute significantly to architecture and software management discussions & tasks Rapid prototyping & shorten development cycles for our software and AI/ML products: Build infrastructure for our AI/ML data pipelines & workstreams from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization. Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors. Increase our deployment velocity, including the process for deploying models and data pipelines into production. Requirements Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field. Experience in containerization - Docker/Kubernetes. Experience in AWS cloud and services (S3, Lambda, Aurora, ECS, EKS, SageMaker, Bedrock, Athena, Secrets Manager, Certificate Manager etc.) Proven DevOps/MLOps experience provisioning and maintaining infrastructure leveraging some of the following: Terraform, Ansible, AWS CDK, CloudFormation. Experience with CI/CD pipelines ex. Jenkins/Spinnaker. Experience with monitoring tools such as Prometheus, Grafana, Splunk and Datadog. Proven programming/scripting skills with some of the modern programming languages like Python. Solid software design, problem solving and debugging skills. Strong interpersonal skills; able to work independently as well as in a team. Desirable You have a strong commitment to development best practices and code reviews. You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn. Experience with data labelling, validation, provenance and versioning. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
14/05/2025
Full time
Job Description The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent data engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers and data scientists in building and maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production. Responsibilities Collaborate with data scientists and research/machine learning engineers to deliver products to production. Build and maintain scalable infrastructure as code in the cloud (private & public). Manage infrastructure for model training/serving and governance. Manage data infrastructure supporting the inference pipelines. Contribute significantly to architecture and software management discussions & tasks Rapid prototyping & shorten development cycles for our software and AI/ML products: Build infrastructure for our AI/ML data pipelines & workstreams from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization. Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors. Increase our deployment velocity, including the process for deploying models and data pipelines into production. Requirements Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field. Experience in containerization - Docker/Kubernetes. Experience in AWS cloud and services (S3, Lambda, Aurora, ECS, EKS, SageMaker, Bedrock, Athena, Secrets Manager, Certificate Manager etc.) Proven DevOps/MLOps experience provisioning and maintaining infrastructure leveraging some of the following: Terraform, Ansible, AWS CDK, CloudFormation. Experience with CI/CD pipelines ex. Jenkins/Spinnaker. Experience with monitoring tools such as Prometheus, Grafana, Splunk and Datadog. Proven programming/scripting skills with some of the modern programming languages like Python. Solid software design, problem solving and debugging skills. Strong interpersonal skills; able to work independently as well as in a team. Desirable You have a strong commitment to development best practices and code reviews. You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn. Experience with data labelling, validation, provenance and versioning. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Our Company: QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way! Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role Our Technology team is growing! We're looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone. In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis. Key Responsibilities: Design, develop, and maintain scalable real-time data pipelines and infrastructure. Integrate various data sources and ensure seamless real-time data flow across the organisation. Build efficient, fault-tolerant, and highly available data ingestion processes. Monitor and improve data pipeline performance and scalability for low-latency and high-throughput. Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives. About You: Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English skills. Last but not least, you'll have no ego! What You'll Get: Competitive Basic Salary Quarterly Bonuses Hybrid working Private Health Care (Bupa) Market Leading Training Programme Recognition & Reward Scheme Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki) Regular Happy Hour / Team Lunches Free Coffee, Drinks & Snacks What's the next step? Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at QiH and want to join a team where you can make an impact, please apply or contact us at .
14/05/2025
Full time
Our Company: QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way! Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role Our Technology team is growing! We're looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone. In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis. Key Responsibilities: Design, develop, and maintain scalable real-time data pipelines and infrastructure. Integrate various data sources and ensure seamless real-time data flow across the organisation. Build efficient, fault-tolerant, and highly available data ingestion processes. Monitor and improve data pipeline performance and scalability for low-latency and high-throughput. Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives. About You: Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English skills. Last but not least, you'll have no ego! What You'll Get: Competitive Basic Salary Quarterly Bonuses Hybrid working Private Health Care (Bupa) Market Leading Training Programme Recognition & Reward Scheme Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki) Regular Happy Hour / Team Lunches Free Coffee, Drinks & Snacks What's the next step? Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at QiH and want to join a team where you can make an impact, please apply or contact us at .
Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we're looking for a AI Engineer to join our growing team. ABOUT THE ROLE You'll play a crucial role in designing, prototyping and evaluating innovative data science solutions, powered by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you'll surface the latest AI and NLP innovations, connecting the dots with Curve's use cases to propose novel solutions to our most challenging problems. You'll work on a mix of small proof of concepts and larger projects, both of which push the boundaries of what we can do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS. You'll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you'll work to shape the future of our fast-growing London start-up, driving and enhancing our data science capabilities and best practices as we continue to grow, playing a key part in maintaining our Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients. WHAT YOU'LL BE DOING Develop innovative data science models and prototypes in Python, from scratch Proactively research, experiment with, and share the latest trends in data science, AI and NLP Translate unstructured business problems into clear requirements Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyond Proactively and continuously identify and propose ways to improve the impact of our data solutions Explore new and novel ways to understand and enrich digital consumer data sources Work closely with an amazing cross-functional Curve team from specialists in data science & engineering to strategy, insights and analytics experts WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Experience designing, developing, evaluating and optimising data science models and NLP solutions 3+ years' experience with Python, with strong code design skills, and preferably OOP experience Passionate about AI and NLP, with demonstrable experience researching, experimenting with and communicating the benefits of new data science technologies and methods Some experience with defining hypotheses and running effective data science experiments SQL and some data warehousing knowledge NICE TO HAVES OR EXCITED TO LEARN: Experience analysing data in a marketing or other consumer-centric context Experience developing data solutions in cloud environments such as Azure, AWS or GCP Experience utilising social listening tools and/or search/web analytics tools Get to know Curve's journey and meet some of the minds fuelling our passion
14/05/2025
Full time
Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we're looking for a AI Engineer to join our growing team. ABOUT THE ROLE You'll play a crucial role in designing, prototyping and evaluating innovative data science solutions, powered by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you'll surface the latest AI and NLP innovations, connecting the dots with Curve's use cases to propose novel solutions to our most challenging problems. You'll work on a mix of small proof of concepts and larger projects, both of which push the boundaries of what we can do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS. You'll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you'll work to shape the future of our fast-growing London start-up, driving and enhancing our data science capabilities and best practices as we continue to grow, playing a key part in maintaining our Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients. WHAT YOU'LL BE DOING Develop innovative data science models and prototypes in Python, from scratch Proactively research, experiment with, and share the latest trends in data science, AI and NLP Translate unstructured business problems into clear requirements Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews, clickstream data and beyond Proactively and continuously identify and propose ways to improve the impact of our data solutions Explore new and novel ways to understand and enrich digital consumer data sources Work closely with an amazing cross-functional Curve team from specialists in data science & engineering to strategy, insights and analytics experts WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Experience designing, developing, evaluating and optimising data science models and NLP solutions 3+ years' experience with Python, with strong code design skills, and preferably OOP experience Passionate about AI and NLP, with demonstrable experience researching, experimenting with and communicating the benefits of new data science technologies and methods Some experience with defining hypotheses and running effective data science experiments SQL and some data warehousing knowledge NICE TO HAVES OR EXCITED TO LEARN: Experience analysing data in a marketing or other consumer-centric context Experience developing data solutions in cloud environments such as Azure, AWS or GCP Experience utilising social listening tools and/or search/web analytics tools Get to know Curve's journey and meet some of the minds fuelling our passion
Compliance Engineering - Full Stack Software Engineer - Vice President - Birmingham location_on Birmingham, West Midlands, England, United Kingdom YOUR IMPACT Are you passionate about developing mission-critical, high quality software solutions, using cutting-edge technology, in a dynamic environment? OUR IMPACT We are Compliance Engineering, a global team of more than 400 engineers and scientists who work on the most complex, mission-critical problems. We: build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. have access to the latest technology and to massive amounts of structured and unstructured data. leverage modern frameworks to build responsive and intuitive front end and Big Data applications. The firm is making a significant investment to uplift and rebuild the Compliance application portfolio in 2025 and as part of that initiative we are setting up a new Compliance Engineering team in Birmingham. You have a unique opportunity to be part of this new, exciting team and play a crucial role in not just building this team but also help forge its vision. To achieve this, Compliance Engineering is looking to fill several full stack developer roles across different teams. HOW YOU WILL FULFILL YOUR POTENTIAL As a member of our team, you will: partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions, learn from experts, be able to innovate and incubate new ideas, have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UX, be involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products. QUALIFICATIONS A successful candidate will possess the following attributes: A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study. 5+ years of experience in Java development. 5+ years of experience in automated testing and SDLC concepts. An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail. Strong communication and documentation skills - both verbally and in writing to effectively interact with multiple people and global teams. Excellent judgment, analytical thinking, and problem-solving skills. Strong team player & experience working with global teams. Self-motivated individual that possesses excellent time management and organizational skills. ABOUT GOLDMAN SACHS Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Disability Statement . Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
14/05/2025
Full time
Compliance Engineering - Full Stack Software Engineer - Vice President - Birmingham location_on Birmingham, West Midlands, England, United Kingdom YOUR IMPACT Are you passionate about developing mission-critical, high quality software solutions, using cutting-edge technology, in a dynamic environment? OUR IMPACT We are Compliance Engineering, a global team of more than 400 engineers and scientists who work on the most complex, mission-critical problems. We: build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. have access to the latest technology and to massive amounts of structured and unstructured data. leverage modern frameworks to build responsive and intuitive front end and Big Data applications. The firm is making a significant investment to uplift and rebuild the Compliance application portfolio in 2025 and as part of that initiative we are setting up a new Compliance Engineering team in Birmingham. You have a unique opportunity to be part of this new, exciting team and play a crucial role in not just building this team but also help forge its vision. To achieve this, Compliance Engineering is looking to fill several full stack developer roles across different teams. HOW YOU WILL FULFILL YOUR POTENTIAL As a member of our team, you will: partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions, learn from experts, be able to innovate and incubate new ideas, have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UX, be involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products. QUALIFICATIONS A successful candidate will possess the following attributes: A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study. 5+ years of experience in Java development. 5+ years of experience in automated testing and SDLC concepts. An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail. Strong communication and documentation skills - both verbally and in writing to effectively interact with multiple people and global teams. Excellent judgment, analytical thinking, and problem-solving skills. Strong team player & experience working with global teams. Self-motivated individual that possesses excellent time management and organizational skills. ABOUT GOLDMAN SACHS Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Disability Statement . Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We are looking for a highly skilled, strategic and tenacious EMEA ISV Leader with strong vision and unparalleled execution. You will design, develop and execute the GTM strategy and programs with ISVs. You have driven scale and produced multiplier effects. You will define priorities, drive high activity, work closely with the leadership team and roll up your sleeves to execute. Your program will drive competitive advantage to our ISV partners, accelerate Databricks' growth and unlock business impact to joint customers. The impact you will have GTM Strategy & Execution : Develop and execute EMEA GTM strategy implementing innovative strategies that expand our market presence. Sales Programs: Launch sales plays and programs within Databricks, ISVs and our shared ecosystem with an industry-first lens. Launch programs sales plays, partner power plays (with Cloud, SIs and other ISVs). Demand Generation: Work with Sales Dev, Demand Gen, and Marketing to launch outbound and inbound campaigns to spread awareness and support pipeline creation for the joint solutions. Operational Excellence: Create and drive operational rigor for cadence, reporting, KPIs, escalation process, stakeholder updates and QBRs. Market Research: Conduct market research including customer discussions and aggregated customer feedback to identify trends, customer needs, and competitive landscape to inform solution development and partner strategy. Provide data-driven insights on ISV consumption trends and represent 'the voice of the partner'. Sales Enablement: Collaborate with enablement, sales and solution engineering teams to drive ISV-related sales motions, including training, messaging, and co-selling efforts. Deal Support: Anticipate (and proactively solve) channel conflict, support deal creation through close, drive account field engagement with BU leaders and strategic priority accounts. One-Team: Develop an environment for winning and success to further nurture a 'one team' collaborative culture. Examples of responsibilities Set a winning Strategy: Understand and align the right ISVs to EMEA Sales Leader priorities, company priorities and critical industry imperatives. Drive Partner Success: Work with ISV Partner C-suite, Alliance and Sales teams to build and execute on GTM plans in region. Facilitate Regional QBRs with important partners. Build for Scale: Work with Sales Programs to embed ISV Partners into core motions and priorities. Activate and Enable the field: Create and deliver enablement through EMEA on how best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partner and Databricks to unlock new use cases and progress said pipeline. Represent the business: Have the depth to handle discussions on data collaboration, technology partners and built ons with customers and partners. Make our ISV Program a competitive differentiator: Build mindshare with top ISVs by engaging top Data and AI Leadership, Industry Leadership and C-suite. Build a program that is just as much a competitive differentiator for partners as our product. Triangulate and drive ecosystem success: Drive Partner Power Play, aligning the right ISVs to the right SIs. Define repeatable use cases and work with industry team and partners to build Brickbuilder Solutions. Measure, Iterate and Improve: Identify cross functional gaps and work to bring teams together to solve them. Identify gaps in our ecosystem portfolio and assist to recruit the appropriate partners. Drives efficiencies and productivity across their region, guiding on accurate activity tracking from a depth of experience. Collaborate Cross Functionally: Interlock and build effective relationship with Sales teams, Business Development, Product, Engineering, Pre-sales, Post-sales, Marketing, Partners and other partners in the ecosystem. What we look for Experience Extensive experience selling Software, SaaS, Cloud Sales. 8+ years experience in securing and supporting ISV partners at scale with track record of success in planning and executing ISV co-sell programs. Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer). Degree in business, economics, engineering, finance, science or math preferable. Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing). Skills Outstanding communication skills (verbal, written and presentation) for both technical and executive audiences. Technically knowledgeable in the open source software, big data, IoT, and/or cloud computing space. Ability to translate technical concepts into business value, interacting with both business executives and technical audiences (data scientists and engineers). In-depth understanding of alliance/partner organisations, key stakeholder management, joint value proposition development and delivering field enablement programs. Possess aptitude to learn quickly and establish credibility. Proactive, entrepreneurial spirit and tenacious team player. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
14/05/2025
Full time
We are looking for a highly skilled, strategic and tenacious EMEA ISV Leader with strong vision and unparalleled execution. You will design, develop and execute the GTM strategy and programs with ISVs. You have driven scale and produced multiplier effects. You will define priorities, drive high activity, work closely with the leadership team and roll up your sleeves to execute. Your program will drive competitive advantage to our ISV partners, accelerate Databricks' growth and unlock business impact to joint customers. The impact you will have GTM Strategy & Execution : Develop and execute EMEA GTM strategy implementing innovative strategies that expand our market presence. Sales Programs: Launch sales plays and programs within Databricks, ISVs and our shared ecosystem with an industry-first lens. Launch programs sales plays, partner power plays (with Cloud, SIs and other ISVs). Demand Generation: Work with Sales Dev, Demand Gen, and Marketing to launch outbound and inbound campaigns to spread awareness and support pipeline creation for the joint solutions. Operational Excellence: Create and drive operational rigor for cadence, reporting, KPIs, escalation process, stakeholder updates and QBRs. Market Research: Conduct market research including customer discussions and aggregated customer feedback to identify trends, customer needs, and competitive landscape to inform solution development and partner strategy. Provide data-driven insights on ISV consumption trends and represent 'the voice of the partner'. Sales Enablement: Collaborate with enablement, sales and solution engineering teams to drive ISV-related sales motions, including training, messaging, and co-selling efforts. Deal Support: Anticipate (and proactively solve) channel conflict, support deal creation through close, drive account field engagement with BU leaders and strategic priority accounts. One-Team: Develop an environment for winning and success to further nurture a 'one team' collaborative culture. Examples of responsibilities Set a winning Strategy: Understand and align the right ISVs to EMEA Sales Leader priorities, company priorities and critical industry imperatives. Drive Partner Success: Work with ISV Partner C-suite, Alliance and Sales teams to build and execute on GTM plans in region. Facilitate Regional QBRs with important partners. Build for Scale: Work with Sales Programs to embed ISV Partners into core motions and priorities. Activate and Enable the field: Create and deliver enablement through EMEA on how best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partner and Databricks to unlock new use cases and progress said pipeline. Represent the business: Have the depth to handle discussions on data collaboration, technology partners and built ons with customers and partners. Make our ISV Program a competitive differentiator: Build mindshare with top ISVs by engaging top Data and AI Leadership, Industry Leadership and C-suite. Build a program that is just as much a competitive differentiator for partners as our product. Triangulate and drive ecosystem success: Drive Partner Power Play, aligning the right ISVs to the right SIs. Define repeatable use cases and work with industry team and partners to build Brickbuilder Solutions. Measure, Iterate and Improve: Identify cross functional gaps and work to bring teams together to solve them. Identify gaps in our ecosystem portfolio and assist to recruit the appropriate partners. Drives efficiencies and productivity across their region, guiding on accurate activity tracking from a depth of experience. Collaborate Cross Functionally: Interlock and build effective relationship with Sales teams, Business Development, Product, Engineering, Pre-sales, Post-sales, Marketing, Partners and other partners in the ecosystem. What we look for Experience Extensive experience selling Software, SaaS, Cloud Sales. 8+ years experience in securing and supporting ISV partners at scale with track record of success in planning and executing ISV co-sell programs. Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer). Degree in business, economics, engineering, finance, science or math preferable. Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing). Skills Outstanding communication skills (verbal, written and presentation) for both technical and executive audiences. Technically knowledgeable in the open source software, big data, IoT, and/or cloud computing space. Ability to translate technical concepts into business value, interacting with both business executives and technical audiences (data scientists and engineers). In-depth understanding of alliance/partner organisations, key stakeholder management, joint value proposition development and delivering field enablement programs. Possess aptitude to learn quickly and establish credibility. Proactive, entrepreneurial spirit and tenacious team player. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Econometrician / Data Scientist London (Hybrid working 3 office days per week) Salary DOE £40,000-£45,000 Additional Benefits: Gym Membership, Pension and yearly bonus Job Reference: J12950 We're excited to be hiring for a unique opportunity to join a fast-growing, independent marketing effectiveness agency that genuinely puts its people first. This is a chance for someone who wants to be a bigger fish in a smaller sea to step into a role where you can truly make your mark, have real influence, and accelerate your career growth as we continue to scale. With a loyal and diverse client base, and a culture built on support and empowerment, you'll be part of a team where your ideas are heard and your impact is recognised. Roles and Responsibilities This role is well-suited for candidates who have a strong analytical mindset and prefer working behind the scenes with data. Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director). Creating clear and insightful output decks for both internal stakeholders and client presentations. Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS). Experience with model validation, diagnostics, and performance metrics. Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression, lag structures, adstock, saturation, and interaction effects. The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply!
14/05/2025
Full time
Econometrician / Data Scientist London (Hybrid working 3 office days per week) Salary DOE £40,000-£45,000 Additional Benefits: Gym Membership, Pension and yearly bonus Job Reference: J12950 We're excited to be hiring for a unique opportunity to join a fast-growing, independent marketing effectiveness agency that genuinely puts its people first. This is a chance for someone who wants to be a bigger fish in a smaller sea to step into a role where you can truly make your mark, have real influence, and accelerate your career growth as we continue to scale. With a loyal and diverse client base, and a culture built on support and empowerment, you'll be part of a team where your ideas are heard and your impact is recognised. Roles and Responsibilities This role is well-suited for candidates who have a strong analytical mindset and prefer working behind the scenes with data. Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director). Creating clear and insightful output decks for both internal stakeholders and client presentations. Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS). Experience with model validation, diagnostics, and performance metrics. Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression, lag structures, adstock, saturation, and interaction effects. The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply!
Machine Learning Engineer, AWS Generative AI Innovation Center DESCRIPTION The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers to research, design, and develop generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on the AWS platform. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative AI into your existing applications and workflows. BASIC QUALIFICATIONS Bachelor's degree in computer science or equivalent. Experience in professional, non-internship software development. Experience coding in Python, R, Matlab, Java, or other modern programming languages. Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training, and productionizing ML models. Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems. PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
14/05/2025
Full time
Machine Learning Engineer, AWS Generative AI Innovation Center DESCRIPTION The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers to research, design, and develop generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on the AWS platform. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative AI into your existing applications and workflows. BASIC QUALIFICATIONS Bachelor's degree in computer science or equivalent. Experience in professional, non-internship software development. Experience coding in Python, R, Matlab, Java, or other modern programming languages. Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training, and productionizing ML models. Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems. PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Company Overview The SPTS division of KLA designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Job Description/Preferred Qualifications The Cybersecurity team at KLA is dedicated to safeguarding our critical assets and ensuring the security of our operations. As a member of the Digital Information Risk team, we are seeking a qualified AI Security Engineer to develop robust AI security review processes and risk assessments in line with responsible AI practices. Come join our team in this exciting role! This position will be responsible for identifying and mitigating AI-specific risks and vulnerabilities and proactively communicating potential AI-specific threats as a part of the broader KLA AI Security program. The ideal candidate will be able to demonstrate a breadth of knowledge across cybersecurity, threat intelligence, and artificial intelligence. Responsibilities: Conduct in-depth technical assessments of AI systems to identify security risks. Develop threat models for AI systems to anticipate and account for potential impacts due to misuse, abuse, or other adversarial attacks. Document all findings and develop mitigation strategies for identified risks, and coordinate with business partners to deploy countermeasures to reduce risk to systems and applications. Partner with the cyber threat intelligence team to research and remain current on threats and vulnerabilities to proactively find opportunities to amend our AI security strategy. Leverage research, industry trends, and internal data points to understand how AI systems could be abused and misused. Partner with monitoring teams to develop detections based on potential adversarial behaviours targeting LLMs. Be a champion of responsible AI practices, and reinforce responsibility at KLA through co-championing AI awareness campaigns. Ensure leadership is aware of key risks, potential threats, and if there are anticipated changes to ongoing projects. Support the growing cybersecurity team through mentoring junior analysts. Requirements: Bachelor's Degree in Computer Science, Cybersecurity or related field is required. Demonstrated ability in cybersecurity with a focus on artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, Hugging Face, TensorFlow, etc.). Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business. Minimum Qualifications: Doctorate (Academic) Degree, Master's Level Degree and related work experience; Bachelor's Level Degree and related work experience.
14/05/2025
Full time
Company Overview The SPTS division of KLA designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry leading etch and deposition process technologies on a range of single wafer handling platforms. End-market applications include micro-electromechanical systems (MEMS), advanced packaging, LED, high speed RF device IC's and power semiconductors. SPTS is part of KLA Corporation which develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Job Description/Preferred Qualifications The Cybersecurity team at KLA is dedicated to safeguarding our critical assets and ensuring the security of our operations. As a member of the Digital Information Risk team, we are seeking a qualified AI Security Engineer to develop robust AI security review processes and risk assessments in line with responsible AI practices. Come join our team in this exciting role! This position will be responsible for identifying and mitigating AI-specific risks and vulnerabilities and proactively communicating potential AI-specific threats as a part of the broader KLA AI Security program. The ideal candidate will be able to demonstrate a breadth of knowledge across cybersecurity, threat intelligence, and artificial intelligence. Responsibilities: Conduct in-depth technical assessments of AI systems to identify security risks. Develop threat models for AI systems to anticipate and account for potential impacts due to misuse, abuse, or other adversarial attacks. Document all findings and develop mitigation strategies for identified risks, and coordinate with business partners to deploy countermeasures to reduce risk to systems and applications. Partner with the cyber threat intelligence team to research and remain current on threats and vulnerabilities to proactively find opportunities to amend our AI security strategy. Leverage research, industry trends, and internal data points to understand how AI systems could be abused and misused. Partner with monitoring teams to develop detections based on potential adversarial behaviours targeting LLMs. Be a champion of responsible AI practices, and reinforce responsibility at KLA through co-championing AI awareness campaigns. Ensure leadership is aware of key risks, potential threats, and if there are anticipated changes to ongoing projects. Support the growing cybersecurity team through mentoring junior analysts. Requirements: Bachelor's Degree in Computer Science, Cybersecurity or related field is required. Demonstrated ability in cybersecurity with a focus on artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, Hugging Face, TensorFlow, etc.). Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business. Minimum Qualifications: Doctorate (Academic) Degree, Master's Level Degree and related work experience; Bachelor's Level Degree and related work experience.
The role We are looking for a Data Engineer to join the Data Science & Engineering team in London. Working at WGSN Together, we create tomorrow A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow. WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. Role overview As a Data Engineer, you will be responsible for managing and improving the company's data ingestion, transformation, and analytical needs, directly supporting Data Science and Analytics functions. This role is essential in building and scaling new and existing data streams to support WGSN's growing set of data products and services. Despite a core set of responsibilities, this role requires an element of creativity and curiosity in developing new approaches to solve problems. The team You'll be joining a dynamic and diverse team of engineers and scientists within the wider decision science function. We thrive on collaboration, continuous learning, and building intelligent solutions that drive meaningful business impact. Whether it's testing new machine learning models or designing robust data pipelines, our team values creativity, technical excellence, and a shared passion for turning data into insight. Key accountabilities ETL Development Develop and implement robust Extract, Transform, Load (ETL) processes to ensure the seamless flow of data from source systems to data repositories. Optimise and streamline data pipelines for maximum performance and reliability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and be creative in designing appropriate solutions. Database Management Manage and administer databases, ensuring data integrity, security, and availability. Perform database tuning and optimisation for improved query performance. Data Quality and Governance Implement data alerting, testing, and quality checks, ensuring adherence to governance policies. Collaboration and Communication Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data needs and deliver effective solutions. Clearly communicate technical concepts to non-technical stakeholders. New tools and technologies Stay abreast of emerging technologies and trends in data engineering and data science. Proactively evaluate and productionise new developments in AI that can enhance the data science and engineering workflow. This list is not exhaustive and there may be other activities you are required to deliver. Skills, experience & qualifications required Degree in Computer Science, Engineering, Mathematics, or equivalent experience. 3-5 years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker). Understanding of data governance, security best practices, and compliance frameworks such as GDPR or HIPAA. Familiarity with project management tools and Agile ways of working (e.g. Jira, Asana). Can craft KPIs to measure the impact of data-driven projects and initiatives. What we offer Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including: - 25 days of holiday per year - with an option to buy/ sell up to 5 days. - Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness. - Employee assistance programme, season ticket loans and cycle to work scheme. - Volunteering opportunities and charitable giving options. - Great learning and development opportunities. More about WGSN WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at the right time for tomorrow's consumer. Our values We Are Everywhere The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere. We Are Future Focused We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow. We Are Rigorous We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do. Our culture An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with. Inclusive workforce We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030. Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people. We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been-and will continue to be-actively encouraged here, but we do not offer full remote working. We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you. A Note for Recruiters Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together. Since we focus on these established partnerships, we're unable to respond to unsolicited contacts or CVs from outside our PSL. But don't worry! If we decide to explore new partnerships, we'll be sure to reach out.
14/05/2025
Full time
The role We are looking for a Data Engineer to join the Data Science & Engineering team in London. Working at WGSN Together, we create tomorrow A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow. WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. Role overview As a Data Engineer, you will be responsible for managing and improving the company's data ingestion, transformation, and analytical needs, directly supporting Data Science and Analytics functions. This role is essential in building and scaling new and existing data streams to support WGSN's growing set of data products and services. Despite a core set of responsibilities, this role requires an element of creativity and curiosity in developing new approaches to solve problems. The team You'll be joining a dynamic and diverse team of engineers and scientists within the wider decision science function. We thrive on collaboration, continuous learning, and building intelligent solutions that drive meaningful business impact. Whether it's testing new machine learning models or designing robust data pipelines, our team values creativity, technical excellence, and a shared passion for turning data into insight. Key accountabilities ETL Development Develop and implement robust Extract, Transform, Load (ETL) processes to ensure the seamless flow of data from source systems to data repositories. Optimise and streamline data pipelines for maximum performance and reliability. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and be creative in designing appropriate solutions. Database Management Manage and administer databases, ensuring data integrity, security, and availability. Perform database tuning and optimisation for improved query performance. Data Quality and Governance Implement data alerting, testing, and quality checks, ensuring adherence to governance policies. Collaboration and Communication Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data needs and deliver effective solutions. Clearly communicate technical concepts to non-technical stakeholders. New tools and technologies Stay abreast of emerging technologies and trends in data engineering and data science. Proactively evaluate and productionise new developments in AI that can enhance the data science and engineering workflow. This list is not exhaustive and there may be other activities you are required to deliver. Skills, experience & qualifications required Degree in Computer Science, Engineering, Mathematics, or equivalent experience. 3-5 years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker). Understanding of data governance, security best practices, and compliance frameworks such as GDPR or HIPAA. Familiarity with project management tools and Agile ways of working (e.g. Jira, Asana). Can craft KPIs to measure the impact of data-driven projects and initiatives. What we offer Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including: - 25 days of holiday per year - with an option to buy/ sell up to 5 days. - Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness. - Employee assistance programme, season ticket loans and cycle to work scheme. - Volunteering opportunities and charitable giving options. - Great learning and development opportunities. More about WGSN WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at the right time for tomorrow's consumer. Our values We Are Everywhere The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere. We Are Future Focused We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow. We Are Rigorous We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do. Our culture An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with. Inclusive workforce We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030. Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people. We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been-and will continue to be-actively encouraged here, but we do not offer full remote working. We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you. A Note for Recruiters Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together. Since we focus on these established partnerships, we're unable to respond to unsolicited contacts or CVs from outside our PSL. But don't worry! If we decide to explore new partnerships, we'll be sure to reach out.
RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist/Statistician role: RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK s most interesting media measurement projects like Barb, RAJAR, CFlight and TouchPoints. Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. Benefits you will receive as their Data Scientist/Statistician: Pension scheme 25 days holiday per annum (rising to 30 days) Private medical insurance Season ticket loan Group life and permanent health insurance. Key responsibilities as their Data Scientist/Statistician will include: Providing statistical expertise across RSMB s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints. Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight. Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints. Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. What they are looking for in their Data Scientist/Statistician: The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technic Personal Attributes? Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role. If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click apply now They d love to hear from you!
13/05/2025
Full time
RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist/Statistician role: RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK s most interesting media measurement projects like Barb, RAJAR, CFlight and TouchPoints. Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. Benefits you will receive as their Data Scientist/Statistician: Pension scheme 25 days holiday per annum (rising to 30 days) Private medical insurance Season ticket loan Group life and permanent health insurance. Key responsibilities as their Data Scientist/Statistician will include: Providing statistical expertise across RSMB s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints. Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight. Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints. Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. What they are looking for in their Data Scientist/Statistician: The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technic Personal Attributes? Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role. If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click apply now They d love to hear from you!
Data Lead Senior Data Engineer/Scientist Judge.me Role: Data Lead Senior Data Engineer/Scientist Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £90-115k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognize that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 42k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity As our Data Lead, you'll lead the development of our Trust Optimisation Platform-a critical initiative to unlock insights from our vast review dataset to help merchants improve their e-commerce trust metrics. This role will build the data foundation that powers our next generation of merchant-facing products, directly supporting our mission to close the Trust Gap in e-commerce. What Makes This Role Special Massive Data Scale : Work with one of the largest e-commerce review datasets in the world Direct Business Impact : Build systems that directly improve merchant success and customer trust Full Ownership : Lead the technical direction of a strategic platform for the company Growth Potential : Shape the future of how e-commerce trust is measured and optimized Your Mission: Do More With Less We solve problems through first principles thinking before adding people. Growth in headcount is our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data Cross-Functional Collaboration : Work with product and design teams to translate data insights into user-facing features and new products. Your Approach: Think in Systems and Platforms Your role will be to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the data architecture with future expansion in mind Transform our product data into a strategic asset that delivers measurable value to merchants Enable data-driven decisions that help merchants improve their trust metrics and customer satisfaction Build the foundation for future product offerings Work with our product team to continuously refine insights based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data) Strong communication skills to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is at an inflection point. As the market leader in Shopify reviews, we've chosen to build our future with Shopify because it's the world's fastest-growing e-commerce platform. We win by leveraging their existing dominance and momentum. You'll join us as we build the next generation of data-driven trust tools. Your work will directly contribute to how e-commerce merchants build trust with their customers globally, while establishing the foundation for our future product innovations. We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
13/05/2025
Full time
Data Lead Senior Data Engineer/Scientist Judge.me Role: Data Lead Senior Data Engineer/Scientist Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £90-115k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognize that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 42k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity As our Data Lead, you'll lead the development of our Trust Optimisation Platform-a critical initiative to unlock insights from our vast review dataset to help merchants improve their e-commerce trust metrics. This role will build the data foundation that powers our next generation of merchant-facing products, directly supporting our mission to close the Trust Gap in e-commerce. What Makes This Role Special Massive Data Scale : Work with one of the largest e-commerce review datasets in the world Direct Business Impact : Build systems that directly improve merchant success and customer trust Full Ownership : Lead the technical direction of a strategic platform for the company Growth Potential : Shape the future of how e-commerce trust is measured and optimized Your Mission: Do More With Less We solve problems through first principles thinking before adding people. Growth in headcount is our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data Cross-Functional Collaboration : Work with product and design teams to translate data insights into user-facing features and new products. Your Approach: Think in Systems and Platforms Your role will be to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the data architecture with future expansion in mind Transform our product data into a strategic asset that delivers measurable value to merchants Enable data-driven decisions that help merchants improve their trust metrics and customer satisfaction Build the foundation for future product offerings Work with our product team to continuously refine insights based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data) Strong communication skills to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is at an inflection point. As the market leader in Shopify reviews, we've chosen to build our future with Shopify because it's the world's fastest-growing e-commerce platform. We win by leveraging their existing dominance and momentum. You'll join us as we build the next generation of data-driven trust tools. Your work will directly contribute to how e-commerce merchants build trust with their customers globally, while establishing the foundation for our future product innovations. We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
How you'll be contributing to Accurx as a Senior Data Scientist As a Senior Data Scientist you'll be working within the product community to identify key product improvements and support the product strategy & the roadmap: you'll be solving real world problems and building a product that is going to impact every single person in the UK! You'll use statistical and machine learning techniques to analyse data and develop models to understand key drivers and you'll lead experimentation design to improve the product experience of our users. You'll lead projects to explore and extract valuable information from our data and work closely with the product teams to advise on data collection improvements. You'll help drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive. Your day to day tasks, should you choose to accept this mission Solve problems adaptively and value rigour and simplicity over complicated solutions Make appropriate trade-offs between speed and accuracy as you'll be working in a fast-moving environment Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and technologies for anonymisation Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting) Support & mature the company data culture so that decisions are supported and/or driven by data We'd really like to hear from you, if Proven expertise in designing, executing, and analysing complex experiments end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. Ability to collaborate with product teams, set success metrics (OKRs), and align insights with business goals. Familiarity with best practices for handling sensitive data, ensuring privacy and anonymity. What we can offer £70,000 - £85,000 salary + the value of £50,750 share options Access to H appl - a flexible benefits provider with a given budget of £600 to spend on perks of your choice. Options include private health insurance, wellness providers and more. We are office first, all accuFolk come to our office in Shoreditch at least 3 days per week, with the option to work remotely 2 days a week. Read more about our policy here . Allocated annual learning & development budget Enhanced parental leave policy Prayer, meditation and breastfeeding room Working abroad policy We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat! And much more . Like the sound of this role and want to know more about the company? Here's more about us We're a fast-growing healthcare technology company which makes it easier for patients and healthcare teams to communicate. Accurx is where conversations happen with and about patients. Our software helps doctors, nurses, pharmacists, administrators and other professionals to seamlessly connect with both patients and each other. Our mission is simple: everything we do is to make patients healthier and healthcare staff happier. Today, Accurx is used in 98% of GP practices nationwide and every day more healthcare professionals are using our software in hospitals, pharmacies, care homes and the community. We're passionate about staying close to our users, which is why everyone at Accurx visits a GP practice at least twice a quarter to understand how a practice runs, the difficulties they face with technologies and how we can help. Head over to our main careers page to find out more about the team and our candidate hub . You can also find out more about us on Medium , LinkedIn and Twitter & Instagram . Our YouTube channel is full of demos of our product, webinars we have held with our users and some clips about life at Accurx. Diversity & Inclusion Accurx is committed to being an inclusive employer.As part of this, we're glad to accommodate candidates who need adjustments throughout the interview process . Pre-employment Screening All successful candidates are asked to complete a Basic DBS check along with other pre-employment checks (referencing & right to work). You can find more on our process here . If you'd like to ask questions before you apply please email .
13/05/2025
Full time
How you'll be contributing to Accurx as a Senior Data Scientist As a Senior Data Scientist you'll be working within the product community to identify key product improvements and support the product strategy & the roadmap: you'll be solving real world problems and building a product that is going to impact every single person in the UK! You'll use statistical and machine learning techniques to analyse data and develop models to understand key drivers and you'll lead experimentation design to improve the product experience of our users. You'll lead projects to explore and extract valuable information from our data and work closely with the product teams to advise on data collection improvements. You'll help drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive. Your day to day tasks, should you choose to accept this mission Solve problems adaptively and value rigour and simplicity over complicated solutions Make appropriate trade-offs between speed and accuracy as you'll be working in a fast-moving environment Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and technologies for anonymisation Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting) Support & mature the company data culture so that decisions are supported and/or driven by data We'd really like to hear from you, if Proven expertise in designing, executing, and analysing complex experiments end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. Ability to collaborate with product teams, set success metrics (OKRs), and align insights with business goals. Familiarity with best practices for handling sensitive data, ensuring privacy and anonymity. What we can offer £70,000 - £85,000 salary + the value of £50,750 share options Access to H appl - a flexible benefits provider with a given budget of £600 to spend on perks of your choice. Options include private health insurance, wellness providers and more. We are office first, all accuFolk come to our office in Shoreditch at least 3 days per week, with the option to work remotely 2 days a week. Read more about our policy here . Allocated annual learning & development budget Enhanced parental leave policy Prayer, meditation and breastfeeding room Working abroad policy We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat! And much more . Like the sound of this role and want to know more about the company? Here's more about us We're a fast-growing healthcare technology company which makes it easier for patients and healthcare teams to communicate. Accurx is where conversations happen with and about patients. Our software helps doctors, nurses, pharmacists, administrators and other professionals to seamlessly connect with both patients and each other. Our mission is simple: everything we do is to make patients healthier and healthcare staff happier. Today, Accurx is used in 98% of GP practices nationwide and every day more healthcare professionals are using our software in hospitals, pharmacies, care homes and the community. We're passionate about staying close to our users, which is why everyone at Accurx visits a GP practice at least twice a quarter to understand how a practice runs, the difficulties they face with technologies and how we can help. Head over to our main careers page to find out more about the team and our candidate hub . You can also find out more about us on Medium , LinkedIn and Twitter & Instagram . Our YouTube channel is full of demos of our product, webinars we have held with our users and some clips about life at Accurx. Diversity & Inclusion Accurx is committed to being an inclusive employer.As part of this, we're glad to accommodate candidates who need adjustments throughout the interview process . Pre-employment Screening All successful candidates are asked to complete a Basic DBS check along with other pre-employment checks (referencing & right to work). You can find more on our process here . If you'd like to ask questions before you apply please email .
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