Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
11/04/2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
15/05/2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
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.
Software Engineer Exciting opportunity for an experienced Software Engineer to join an innovative stealth start-up in Saffron Walden who are tackling some of the world s most pressing challenges. Joining a company founded by experts in their field, who have already realised success with other start-ups, this offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech. Location: Saffron Walden, UK fully on-site due to the nature of the role Salary: £50,000 £60,000 per annum Requirements for Software Engineer Solid commercial experience within a Software Engineering position Proficient in Python 1st class honours or high 2.1 degree from a top university in Computer Science, Maths, Physics, Electronics or similar. Minimum of AAA at A Level or equivalent UCAS points Must be proficient in Object-Oriented programming with a natural ability to pick up new programming languages Strong problem-solving ability, with a proactive nature in asking questions to expand your knowledge Any exposure to working with embedded or hardware development would be beneficial Any experience with mobile app development on iOS or Android would also be helpful Ideally, you will be in a position to qualify for SC Clearance due to the nature of some customers Responsibilities for Software Engineer Work on multiple software development projects from prototype phase through to full products Work alongside team members to design and develop software solutions addressing the company s unique challenges. Develop techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Working on a cutting-edge stack in a highly innovative environment Great remuneration Applications: If you would like to enquire about this unique Software Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job-board, full contact details are readily available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia entering industry. Even if the above role isn t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
17/03/2025
Full time
Software Engineer Exciting opportunity for an experienced Software Engineer to join an innovative stealth start-up in Saffron Walden who are tackling some of the world s most pressing challenges. Joining a company founded by experts in their field, who have already realised success with other start-ups, this offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech. Location: Saffron Walden, UK fully on-site due to the nature of the role Salary: £50,000 £60,000 per annum Requirements for Software Engineer Solid commercial experience within a Software Engineering position Proficient in Python 1st class honours or high 2.1 degree from a top university in Computer Science, Maths, Physics, Electronics or similar. Minimum of AAA at A Level or equivalent UCAS points Must be proficient in Object-Oriented programming with a natural ability to pick up new programming languages Strong problem-solving ability, with a proactive nature in asking questions to expand your knowledge Any exposure to working with embedded or hardware development would be beneficial Any experience with mobile app development on iOS or Android would also be helpful Ideally, you will be in a position to qualify for SC Clearance due to the nature of some customers Responsibilities for Software Engineer Work on multiple software development projects from prototype phase through to full products Work alongside team members to design and develop software solutions addressing the company s unique challenges. Develop techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Working on a cutting-edge stack in a highly innovative environment Great remuneration Applications: If you would like to enquire about this unique Software Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job-board, full contact details are readily available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia entering industry. Even if the above role isn t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About your role : We're looking for a Software Architect to lead the design and implementation of high-level software architectures, collaborating with cross-functional teams-including machine learning and data scientists and external product teams-to deliver innovative solutions aligned with business objectives. This role exists to ensure the development of scalable, efficient, and integrated software systems while leading the team to uphold best practices and achieve project goals. We're seeking an experienced and adaptable Software Architect with strong leadership abilities and expertise in collaborative, cloud-based software development, ideally in a corporate research environment. The team is currently primarily in Antwerp, Belgium but we are building a Windsor, Berkshire-centred team to match. This is a hybrid working position, based in Windsor, Berkshire (2 days on-site). It will be useful to be able to travel between the locations. Key responsibilities will include: Solution Architecture and Design Design and oversee high-level software architectures aligned with business objectives. Apply data engineering principles to design efficient data pipelines and storage. Integrate solutions seamlessly with machine learning models and data science workflows. Technical Leadership and Collaboration Collaborate closely with researcher engineers, data scientists, software and DevOps engineers, to ensure the quality of solutions. Promote best practices within the team, including rigorous testing, code review, continuous integration/continuous deployment (CI/CD) techniques, and well-maintained documentation. Introduce innovative solutions using emerging technologies. Team Leadership and Development Lead and mentor a team of developers, fostering excellence. Enhance team skills in coding practices and technical competencies. Conduct performance evaluations and support career growth. Here's what we're looking for: Professional experience A bachelor's degree in computer science, Software Engineering, or a related field is required; a master's degree or relevant certifications (such as AWS Certified Solutions Architect) are highly desirable. Professional experience in software development, including significant experience in software architecture and team leadership. Proven ability to design high-level software architectures aligned with business goals. Technical knowledge Understanding of data architecture concepts and best practices to support our machine learning and data science activities. Experience in architecting and managing scalable cloud-native solutions particularly on AWS. Advanced knowledge of Python programming and relevant frameworks. Bonus: Working knowledge of other languages, especially JVM-based, Go, or Rust. Bonus: Familiarity with some of our other key applications, e.g. web or mobile front-end design, data persistency, IoT devices. Leadership and Software Management Experience with testing, code review practices, code deployment, and infrastructure management. Proven ability to lead and mentor development teams effectively. Experience conducting performance evaluations and supporting career growth. Skilled in fostering a collaborative and high-performance team environment. Communication and Collaboration Excellent verbal and written communication skills. Ability to collaborate closely with cross-functional teams and stakeholders. Skilled in conveying complex technical concepts to non-technical audiences.
17/03/2025
Full time
About your role : We're looking for a Software Architect to lead the design and implementation of high-level software architectures, collaborating with cross-functional teams-including machine learning and data scientists and external product teams-to deliver innovative solutions aligned with business objectives. This role exists to ensure the development of scalable, efficient, and integrated software systems while leading the team to uphold best practices and achieve project goals. We're seeking an experienced and adaptable Software Architect with strong leadership abilities and expertise in collaborative, cloud-based software development, ideally in a corporate research environment. The team is currently primarily in Antwerp, Belgium but we are building a Windsor, Berkshire-centred team to match. This is a hybrid working position, based in Windsor, Berkshire (2 days on-site). It will be useful to be able to travel between the locations. Key responsibilities will include: Solution Architecture and Design Design and oversee high-level software architectures aligned with business objectives. Apply data engineering principles to design efficient data pipelines and storage. Integrate solutions seamlessly with machine learning models and data science workflows. Technical Leadership and Collaboration Collaborate closely with researcher engineers, data scientists, software and DevOps engineers, to ensure the quality of solutions. Promote best practices within the team, including rigorous testing, code review, continuous integration/continuous deployment (CI/CD) techniques, and well-maintained documentation. Introduce innovative solutions using emerging technologies. Team Leadership and Development Lead and mentor a team of developers, fostering excellence. Enhance team skills in coding practices and technical competencies. Conduct performance evaluations and support career growth. Here's what we're looking for: Professional experience A bachelor's degree in computer science, Software Engineering, or a related field is required; a master's degree or relevant certifications (such as AWS Certified Solutions Architect) are highly desirable. Professional experience in software development, including significant experience in software architecture and team leadership. Proven ability to design high-level software architectures aligned with business goals. Technical knowledge Understanding of data architecture concepts and best practices to support our machine learning and data science activities. Experience in architecting and managing scalable cloud-native solutions particularly on AWS. Advanced knowledge of Python programming and relevant frameworks. Bonus: Working knowledge of other languages, especially JVM-based, Go, or Rust. Bonus: Familiarity with some of our other key applications, e.g. web or mobile front-end design, data persistency, IoT devices. Leadership and Software Management Experience with testing, code review practices, code deployment, and infrastructure management. Proven ability to lead and mentor development teams effectively. Experience conducting performance evaluations and supporting career growth. Skilled in fostering a collaborative and high-performance team environment. Communication and Collaboration Excellent verbal and written communication skills. Ability to collaborate closely with cross-functional teams and stakeholders. Skilled in conveying complex technical concepts to non-technical audiences.
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
17/03/2025
Full time
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
17/03/2025
Full time
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
17/03/2025
Full time
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Title: Python Developer - Digital Transformation Team Location: London, City/Hybrid Job Type: Full-time About Us: A leading professional services organisation is seeking a skilled Python Developer to join their Digital Transformation team. As a key player in the development of innovative products, you will contribute to revolutionising the way auditors and accountants work. With a focus on automation, data-driven insights, and analytics, this role offers a unique opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists. About the Role: As a Python Developer, you will be responsible for accelerating the creation of our core product suite, automating repetitive tasks, and enabling accountants to focus on high-value work. This position provides a chance to work on a wide range of technologies, including Front End interfaces, Back End API layers, and analytics/data processing engines. You will lead projects independently, mentor junior developers, and solve complex challenges related to data and presentation in accountancy. Key Responsibilities: * Collaborate with a small team of developers on daily code reviews and merge requests * Develop across the entire product stack, including Front End, Back End, and analytics/data processing engine * Lead projects independently, from requirements gathering through to deployment * Mentor junior developers to support their technical growth * Solve complex challenges related to data and presentation in accountancy Essential Skills & Expertise: * At least 3 years of experience as a full-stack developer, delivering robust production-ready solutions * Proficiency in Python, Django, JavaScript, React, Next.js, and Git * Comfortable working with Python and JavaScript professionally, with experience in Django and React * Ability to build data-intensive applications and manage complex Back End logic, including external API integrations * Experience in creating responsive user interfaces that function across browsers and mobile devices * Capable of working independently and taking ownership of technical projects * Strong analytical skills and problem-solving abilities * Effective time management and prioritisation skills under tight deadlines What We Offer: * Opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists * Chance to work on a wide range of technologies and contribute to the development of innovative products * Professional development through paid courses, on-the-job mentoring, and opportunities to attend relevant meetups and industry events * Collaborative and innovative work environment with a professional yet relaxed culture
17/03/2025
Full time
Job Title: Python Developer - Digital Transformation Team Location: London, City/Hybrid Job Type: Full-time About Us: A leading professional services organisation is seeking a skilled Python Developer to join their Digital Transformation team. As a key player in the development of innovative products, you will contribute to revolutionising the way auditors and accountants work. With a focus on automation, data-driven insights, and analytics, this role offers a unique opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists. About the Role: As a Python Developer, you will be responsible for accelerating the creation of our core product suite, automating repetitive tasks, and enabling accountants to focus on high-value work. This position provides a chance to work on a wide range of technologies, including Front End interfaces, Back End API layers, and analytics/data processing engines. You will lead projects independently, mentor junior developers, and solve complex challenges related to data and presentation in accountancy. Key Responsibilities: * Collaborate with a small team of developers on daily code reviews and merge requests * Develop across the entire product stack, including Front End, Back End, and analytics/data processing engine * Lead projects independently, from requirements gathering through to deployment * Mentor junior developers to support their technical growth * Solve complex challenges related to data and presentation in accountancy Essential Skills & Expertise: * At least 3 years of experience as a full-stack developer, delivering robust production-ready solutions * Proficiency in Python, Django, JavaScript, React, Next.js, and Git * Comfortable working with Python and JavaScript professionally, with experience in Django and React * Ability to build data-intensive applications and manage complex Back End logic, including external API integrations * Experience in creating responsive user interfaces that function across browsers and mobile devices * Capable of working independently and taking ownership of technical projects * Strong analytical skills and problem-solving abilities * Effective time management and prioritisation skills under tight deadlines What We Offer: * Opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists * Chance to work on a wide range of technologies and contribute to the development of innovative products * Professional development through paid courses, on-the-job mentoring, and opportunities to attend relevant meetups and industry events * Collaborative and innovative work environment with a professional yet relaxed culture
Gen AI Specialist Location: Canary Wharf, London (3 days onsite) Contract Type: Contract To Perm (inside IR35 via umbrella) Are you passionate about harnessing the power of Generative AI and machine learning to tackle complex financial challenges? Our client, a leading organisation based in Canary Wharf, is seeking a talented Gen AI Specialist to join their dynamic Technology team. This role offers an exciting opportunity to work at the forefront of technology and innovation. About the Role: As a Gen AI Specialist, you will play a pivotal role in developing and implementing new applications and programmes. Your responsibilities will include data extraction and analysis from both structured and unstructured sources, as well as building predictive and prescriptive models. You will collaborate closely with technology and business partners to address complex problems, with a specific focus on credit risk management. Key Responsibilities: Develop plans and coordinate analytical efforts across teams. Manage deliverables in an agile environment, ensuring clear communication with all model stakeholders. Present analytical findings to diverse audiences, including business, technology management, risk review, and model governance groups. Model and clean data from both internal and external sources. Build and deploy analytical solutions utilising Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) within production systems. Implement features through the ML lifecycle to ensure scalability and reliability. Qualifications: PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 5+ years of industry experience as a data scientist, with a specialisation in ML modelling, ranking, recommendations, or personalization systems. Strong expertise in designing and developing scalable machine learning systems. Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar programming languages. Familiarity with tools and LLMs. Preferred Skills: Experience in GenAI/LLMs projects. Knowledge of distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial services, particularly in banking and risk management. Understanding of capital markets and financial instruments. If you're ready to bring your expertise in Generative AI and machine learning to a leading organisation, we'd love to hear from you! Apply today to join a forward-thinking team that values innovation and creativity in solving complex business problems. How to Apply: Please submit your resume and a brief cover letter outlining your relevant experience and interest in the role. We look forward to exploring the possibility of working together! Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
17/03/2025
Contractor
Gen AI Specialist Location: Canary Wharf, London (3 days onsite) Contract Type: Contract To Perm (inside IR35 via umbrella) Are you passionate about harnessing the power of Generative AI and machine learning to tackle complex financial challenges? Our client, a leading organisation based in Canary Wharf, is seeking a talented Gen AI Specialist to join their dynamic Technology team. This role offers an exciting opportunity to work at the forefront of technology and innovation. About the Role: As a Gen AI Specialist, you will play a pivotal role in developing and implementing new applications and programmes. Your responsibilities will include data extraction and analysis from both structured and unstructured sources, as well as building predictive and prescriptive models. You will collaborate closely with technology and business partners to address complex problems, with a specific focus on credit risk management. Key Responsibilities: Develop plans and coordinate analytical efforts across teams. Manage deliverables in an agile environment, ensuring clear communication with all model stakeholders. Present analytical findings to diverse audiences, including business, technology management, risk review, and model governance groups. Model and clean data from both internal and external sources. Build and deploy analytical solutions utilising Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) within production systems. Implement features through the ML lifecycle to ensure scalability and reliability. Qualifications: PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 5+ years of industry experience as a data scientist, with a specialisation in ML modelling, ranking, recommendations, or personalization systems. Strong expertise in designing and developing scalable machine learning systems. Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar programming languages. Familiarity with tools and LLMs. Preferred Skills: Experience in GenAI/LLMs projects. Knowledge of distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial services, particularly in banking and risk management. Understanding of capital markets and financial instruments. If you're ready to bring your expertise in Generative AI and machine learning to a leading organisation, we'd love to hear from you! Apply today to join a forward-thinking team that values innovation and creativity in solving complex business problems. How to Apply: Please submit your resume and a brief cover letter outlining your relevant experience and interest in the role. We look forward to exploring the possibility of working together! Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Job Title: Python Developer - Digital Transformation Team Location: London, City / Hybrid Job Type: Full-time About Us: A leading professional services organisation is seeking a skilled Python Developer to join their Digital Transformation team. As a key player in the development of innovative products, you will contribute to revolutionising the way auditors and accountants work. With a focus on automation, data-driven insights, and analytics, this role offers a unique opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists. About the Role: As a Python Developer, you will be responsible for accelerating the creation of our core product suite, automating repetitive tasks, and enabling accountants to focus on high-value work. This position provides a chance to work on a wide range of technologies, including frontend interfaces, backend API layers, and analytics/data processing engines. You will lead projects independently, mentor junior developers, and solve complex challenges related to data and presentation in accountancy. Key Responsibilities: Collaborate with a small team of developers on daily code reviews and merge requests Develop across the entire product stack, including frontend, backend, and analytics/data processing engine Lead projects independently, from requirements gathering through to deployment Mentor junior developers to support their technical growth Solve complex challenges related to data and presentation in accountancy Essential Skills & Expertise: At least 3 years of experience as a full-stack developer, delivering robust production-ready solutions Proficiency in Python, Django, JavaScript, React, Next.js, and Git Comfortable working with Python and JavaScript professionally, with experience in Django and React Ability to build data-intensive applications and manage complex backend logic, including external API integrations Experience in creating responsive user interfaces that function across browsers and mobile devices Capable of working independently and taking ownership of technical projects Strong analytical skills and problem-solving abilities Effective time management and prioritisation skills under tight deadlines What We Offer: Opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists Chance to work on a wide range of technologies and contribute to the development of innovative products Professional development through paid courses, on-the-job mentoring, and opportunities to attend relevant meetups and industry events Collaborative and innovative work environment with a professional yet relaxed culture
16/03/2025
Full time
Job Title: Python Developer - Digital Transformation Team Location: London, City / Hybrid Job Type: Full-time About Us: A leading professional services organisation is seeking a skilled Python Developer to join their Digital Transformation team. As a key player in the development of innovative products, you will contribute to revolutionising the way auditors and accountants work. With a focus on automation, data-driven insights, and analytics, this role offers a unique opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists. About the Role: As a Python Developer, you will be responsible for accelerating the creation of our core product suite, automating repetitive tasks, and enabling accountants to focus on high-value work. This position provides a chance to work on a wide range of technologies, including frontend interfaces, backend API layers, and analytics/data processing engines. You will lead projects independently, mentor junior developers, and solve complex challenges related to data and presentation in accountancy. Key Responsibilities: Collaborate with a small team of developers on daily code reviews and merge requests Develop across the entire product stack, including frontend, backend, and analytics/data processing engine Lead projects independently, from requirements gathering through to deployment Mentor junior developers to support their technical growth Solve complex challenges related to data and presentation in accountancy Essential Skills & Expertise: At least 3 years of experience as a full-stack developer, delivering robust production-ready solutions Proficiency in Python, Django, JavaScript, React, Next.js, and Git Comfortable working with Python and JavaScript professionally, with experience in Django and React Ability to build data-intensive applications and manage complex backend logic, including external API integrations Experience in creating responsive user interfaces that function across browsers and mobile devices Capable of working independently and taking ownership of technical projects Strong analytical skills and problem-solving abilities Effective time management and prioritisation skills under tight deadlines What We Offer: Opportunity to work in a small, autonomous team with mentorship from experienced developers and data scientists Chance to work on a wide range of technologies and contribute to the development of innovative products Professional development through paid courses, on-the-job mentoring, and opportunities to attend relevant meetups and industry events Collaborative and innovative work environment with a professional yet relaxed culture
Data Scientist London (Hybrid) Circa £45,000 - £60,000 Permanent Full time / Part time Closing Date: Wednesday 5th March 2025 We currently have an opportunity for a Data Scientist to join our team. This role is open to flexible working, with 21 hours per week a minimum. The ASA is the UK s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million ads each month, allowing us to respond rapidly and effectively to important issues. We are seeking someone with prior professional experience working with complex datasets to join this team. Reporting to the Head of Data Science, in this role you will work with the ads captured by the ASA s Active Ad Monitoring system. You will work with images, videos and especially the text of ads from social media, search and web display. You will collaborate with experts across a range of advertising sectors to understand their needs. You will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the rules. You will take end-to-end ownership of projects and will directly see how your work protects people in the UK from harmful and misleading content. Current projects within the team focus on diverse topics such as ensuring influencer marketing on social media follows advertising rules; monitoring the green claims companies make to consumers; and making sure ads for weight loss medications are responsible. You will report directly to the Head of Data Science, working alongside other Data Scientists and Data Engineers. As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts and machine learning. You must be comfortable communicating complex ideas to non-technical people, and you must believe in our mission as a regulator. Candidates should either have prior data science experience, or have done similar work in another setting e.g. academic research in a data-intensive field or as an analyst working with Python. Please note we do not have a sponsorship licence and are unable to sponsor visas. We think the ASA is a great place to work. We have a culture that s open, friendly and collaborative, with a real focus on making the right decisions in the right way, and learning while we re doing it. We re always looking to improve diversity within our teams, and we d love to hear from people from diverse backgrounds for this role. We encourage applications from candidates who are likely to be underrepresented in this field of work. We operate a hybrid working model and office attendance is required 40% of your contracted hours. How to apply: If you re interested in applying for this role, please review the job description below and complete the online questions telling us how you meet the requirements of the role and how you can contribute to our success. Please note that we'll keep the ad open till we fill the post and will be reviewing applications as they come in. Role: The Data Scientist will deliver analysis and machine learning projects that address real-world challenges faced by the ASA in the regulation of online advertising. Responsibilities With support from the Head of Data Science and time to learn new skills where needed the Data Scientist will: Take end-to-end ownership of data science projects Communicate with stakeholders to understand the challenges they face daily when regulating advertising, translating these into technical solutions Work with a range of unstructured data such as text, images and videos from a variety of sources Apply statistical and machine learning techniques to these datasets including LLM-based tools Deliver insights that inform the focus and approach taken when teams deliver regulation in specific areas Deploy models into production to support ongoing monitoring of compliance and proactive identification of potentially problematic content We are looking for candidates who have: Prior relevant experience Experience working with complex datasets either as a Data Scientist, or another relevant role e.g. in academic research or an analyst role. Programming Skills Experience writing code to manipulate data and apply statistical or machine learning techniques in Python Statistics/Machine Learning Experience applying at least a couple of statistical and/or machine learning techniques and an understanding of how those techniques work behind the scenes Communication The ability to communicate technical solutions to non-technical stakeholders, explaining the value of your work The ideal candidate also has the following personal attributes: Interest in our mission - A desire to make a positive contribution to the regulation of advertising in the UK Creative problem solver - Able to think about a complex problem from multiple perspectives, identifying potential solutions Takes ownership - Willing to take responsibility for delivering a project end-to-end Critical thinking - Able to reflect on their work, spotting mistakes and weaknesses and correcting them where practical Team worker - Wants to collaborate with a team of individuals with mixed expertise and backgrounds, making a positive contribution to team culture Please note we do not have a sponsorship licence and are unable to sponsor visas.
15/03/2025
Full time
Data Scientist London (Hybrid) Circa £45,000 - £60,000 Permanent Full time / Part time Closing Date: Wednesday 5th March 2025 We currently have an opportunity for a Data Scientist to join our team. This role is open to flexible working, with 21 hours per week a minimum. The ASA is the UK s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million ads each month, allowing us to respond rapidly and effectively to important issues. We are seeking someone with prior professional experience working with complex datasets to join this team. Reporting to the Head of Data Science, in this role you will work with the ads captured by the ASA s Active Ad Monitoring system. You will work with images, videos and especially the text of ads from social media, search and web display. You will collaborate with experts across a range of advertising sectors to understand their needs. You will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the rules. You will take end-to-end ownership of projects and will directly see how your work protects people in the UK from harmful and misleading content. Current projects within the team focus on diverse topics such as ensuring influencer marketing on social media follows advertising rules; monitoring the green claims companies make to consumers; and making sure ads for weight loss medications are responsible. You will report directly to the Head of Data Science, working alongside other Data Scientists and Data Engineers. As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts and machine learning. You must be comfortable communicating complex ideas to non-technical people, and you must believe in our mission as a regulator. Candidates should either have prior data science experience, or have done similar work in another setting e.g. academic research in a data-intensive field or as an analyst working with Python. Please note we do not have a sponsorship licence and are unable to sponsor visas. We think the ASA is a great place to work. We have a culture that s open, friendly and collaborative, with a real focus on making the right decisions in the right way, and learning while we re doing it. We re always looking to improve diversity within our teams, and we d love to hear from people from diverse backgrounds for this role. We encourage applications from candidates who are likely to be underrepresented in this field of work. We operate a hybrid working model and office attendance is required 40% of your contracted hours. How to apply: If you re interested in applying for this role, please review the job description below and complete the online questions telling us how you meet the requirements of the role and how you can contribute to our success. Please note that we'll keep the ad open till we fill the post and will be reviewing applications as they come in. Role: The Data Scientist will deliver analysis and machine learning projects that address real-world challenges faced by the ASA in the regulation of online advertising. Responsibilities With support from the Head of Data Science and time to learn new skills where needed the Data Scientist will: Take end-to-end ownership of data science projects Communicate with stakeholders to understand the challenges they face daily when regulating advertising, translating these into technical solutions Work with a range of unstructured data such as text, images and videos from a variety of sources Apply statistical and machine learning techniques to these datasets including LLM-based tools Deliver insights that inform the focus and approach taken when teams deliver regulation in specific areas Deploy models into production to support ongoing monitoring of compliance and proactive identification of potentially problematic content We are looking for candidates who have: Prior relevant experience Experience working with complex datasets either as a Data Scientist, or another relevant role e.g. in academic research or an analyst role. Programming Skills Experience writing code to manipulate data and apply statistical or machine learning techniques in Python Statistics/Machine Learning Experience applying at least a couple of statistical and/or machine learning techniques and an understanding of how those techniques work behind the scenes Communication The ability to communicate technical solutions to non-technical stakeholders, explaining the value of your work The ideal candidate also has the following personal attributes: Interest in our mission - A desire to make a positive contribution to the regulation of advertising in the UK Creative problem solver - Able to think about a complex problem from multiple perspectives, identifying potential solutions Takes ownership - Willing to take responsibility for delivering a project end-to-end Critical thinking - Able to reflect on their work, spotting mistakes and weaknesses and correcting them where practical Team worker - Wants to collaborate with a team of individuals with mixed expertise and backgrounds, making a positive contribution to team culture Please note we do not have a sponsorship licence and are unable to sponsor visas.
I'm currently working with a leader within their field who are genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded i.e progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client. Originally founded in the early 2000's, they've proven to be ahead of their competition but also boast about being able to offer stability as an organisation. They work with professionals to provide them with opportunities to really develop and up skill themselves. This role is for a Data Scientist where you'll be using the latest tech within AWS which means that you'll be working alongside the Data Engineering team and using tools such as (AI, LLM, ML, Databricks and more). As part of this role, you can expect: Salary which is paying up to 65,000, 25 days annual leave, Unparalleled pension scheme, As well as a range of other benefits. My client really understands the importance of work life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a sign posted career path to help you achieve your career aspirations. Essential skills: Proven history of working in a Data Science capacity, Exposure to Data technologies such as Python, LLM, ML Techniques (Clustering, Regression), Understanding of normalisation, CI/CD, R and ML Ops Exposure to the AWS Cloud and its Server-less Technologies (Lambda,S3,Redshift). This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.
14/03/2025
Full time
I'm currently working with a leader within their field who are genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded i.e progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client. Originally founded in the early 2000's, they've proven to be ahead of their competition but also boast about being able to offer stability as an organisation. They work with professionals to provide them with opportunities to really develop and up skill themselves. This role is for a Data Scientist where you'll be using the latest tech within AWS which means that you'll be working alongside the Data Engineering team and using tools such as (AI, LLM, ML, Databricks and more). As part of this role, you can expect: Salary which is paying up to 65,000, 25 days annual leave, Unparalleled pension scheme, As well as a range of other benefits. My client really understands the importance of work life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a sign posted career path to help you achieve your career aspirations. Essential skills: Proven history of working in a Data Science capacity, Exposure to Data technologies such as Python, LLM, ML Techniques (Clustering, Regression), Understanding of normalisation, CI/CD, R and ML Ops Exposure to the AWS Cloud and its Server-less Technologies (Lambda,S3,Redshift). This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.
Data Scientist - Newcastle - Hybrid Remote - 60k - 65k My client are seeking an experienced Data Scientist with strong experience in machine learning and data analytics. You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure. You will also be responsible for building and fine-tuning machine learning models that drive key business outcomes for my client. Salary and Benefits Competitive salary of 60k - 65k (depending on experience) Flexible working (hybrid remote) 22 days holiday (rising to 25 with service) Plus 8 days bank holidays Staff discounts & Friends and Family discounts Cycle to work scheme and Tech Scheme Charity day per annum supported Summer and Christmas Parties Role and Responsibilities Develop & Deploy Machine Learning Models Implement ML Ops Leverage AI Tools: Use AI-powered coding assistants to enhance development efficiency Collaborating and working closely with data engineers and the Head of Data to ensure robust data pipelines and translate requirements into technical solutions Work effectively and efficiently with Python, AWS services and Databricks What do I need to apply for the role 3+ years' experience in applied machine learning and production model deployment Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus Ability to quickly learn new tools and independently deliver scalable, high-quality solutions Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta Lake) is a bonus My client have limited interview slots and are looking to commence with first stag interviews on Monday 16th December. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at (url removed) or you can call me on (phone number removed). Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
14/03/2025
Full time
Data Scientist - Newcastle - Hybrid Remote - 60k - 65k My client are seeking an experienced Data Scientist with strong experience in machine learning and data analytics. You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure. You will also be responsible for building and fine-tuning machine learning models that drive key business outcomes for my client. Salary and Benefits Competitive salary of 60k - 65k (depending on experience) Flexible working (hybrid remote) 22 days holiday (rising to 25 with service) Plus 8 days bank holidays Staff discounts & Friends and Family discounts Cycle to work scheme and Tech Scheme Charity day per annum supported Summer and Christmas Parties Role and Responsibilities Develop & Deploy Machine Learning Models Implement ML Ops Leverage AI Tools: Use AI-powered coding assistants to enhance development efficiency Collaborating and working closely with data engineers and the Head of Data to ensure robust data pipelines and translate requirements into technical solutions Work effectively and efficiently with Python, AWS services and Databricks What do I need to apply for the role 3+ years' experience in applied machine learning and production model deployment Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus Ability to quickly learn new tools and independently deliver scalable, high-quality solutions Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta Lake) is a bonus My client have limited interview slots and are looking to commence with first stag interviews on Monday 16th December. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at (url removed) or you can call me on (phone number removed). Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
Cloud Analytics Engineer Term: Permanent Working Hours: Full-time Department: Business Systems Location: Ipswich About the Role My client, a leading professional services firm, is seeking a talented Cloud Analytics Engineer to join their dynamic Business Systems team. This role focuses on designing, building, and maintaining cloud-based data analytics solutions, ensuring seamless data processing and storage for actionable insights. Reporting to the Data Systems Team Leader, you will play a key role in data engineering, cloud computing, and analytics, as well as providing expert-level 3rd-line support for hybrid cloud data systems. Key Responsibilities Develop and implement scalable data pipelines on cloud platforms (Azure, Fabric, Power Automate) for efficient data processing, storage, and retrieval. Build and maintain ETL/ELT processes to ensure clean, structured data for reporting and insights. Manage and optimise cloud-based data services, including data warehouses (e.g., Snowflake, Fabric, Azure). Implement security best practices, including encryption and compliance with data privacy regulations (ISO policies, Purview, GDPR). Automate data workflows using cloud-native services like Azure Data Factory, Microsoft Fabric, and orchestration tools. Continuously refine processes for cost-efficiency and performance improvement. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to align solutions with business needs. Mentor junior team members, sharing knowledge on best practices and advanced data engineering techniques. Stay up-to-date with evolving cloud technologies and analytics trends, implementing innovative solutions. Provide 3rd-line technical support, troubleshooting complex data-related incidents, and ensuring high system availability. Write and optimise complex SQL queries for extracting, transforming, and analysing data from cloud-based and on-premises data warehouses. Candidate Profile 3-5 years of experience working with cloud platforms. Strong background in data engineering and building cloud-based data solutions. Proficiency in SQL, Python/PySpark for writing and optimising complex queries. Experience with ETL/ELT processes and data querying in cloud platforms. Expertise in cloud data warehouses and related technologies. Strong knowledge of data security principles and compliance frameworks (e.g., GDPR). Ability to work in a fast-paced, collaborative environment while managing multiple priorities. Excellent problem-solving, analytical, and communication skills. A proactive approach with a passion for continuous learning and improvement in cloud analytics. Benefits & Culture 25 days holiday (plus Bank Holidays) Long Service Holiday Award - 1 extra week every 10 years Private Healthcare (offered after passing probation) Scottish Widows Pension Scheme (5% employer / 5% employee contributions) Staff Profit Share & Individual Performance Bonus Scheme Life Assurance (4x salary) & Permanent Health Insurance Paid CSR Day for community engagement Enhanced Maternity/Paternity Leave Subsidised gym membership & electric car scheme Agile/Hybrid Working Policy Dress for Your Day Policy If you're a skilled Cloud Analytics Engineer looking for an opportunity to make a significant impact in a growing organisation, please apply now or if you know anyone who would be a good fit for the role please contact removed)
14/03/2025
Full time
Cloud Analytics Engineer Term: Permanent Working Hours: Full-time Department: Business Systems Location: Ipswich About the Role My client, a leading professional services firm, is seeking a talented Cloud Analytics Engineer to join their dynamic Business Systems team. This role focuses on designing, building, and maintaining cloud-based data analytics solutions, ensuring seamless data processing and storage for actionable insights. Reporting to the Data Systems Team Leader, you will play a key role in data engineering, cloud computing, and analytics, as well as providing expert-level 3rd-line support for hybrid cloud data systems. Key Responsibilities Develop and implement scalable data pipelines on cloud platforms (Azure, Fabric, Power Automate) for efficient data processing, storage, and retrieval. Build and maintain ETL/ELT processes to ensure clean, structured data for reporting and insights. Manage and optimise cloud-based data services, including data warehouses (e.g., Snowflake, Fabric, Azure). Implement security best practices, including encryption and compliance with data privacy regulations (ISO policies, Purview, GDPR). Automate data workflows using cloud-native services like Azure Data Factory, Microsoft Fabric, and orchestration tools. Continuously refine processes for cost-efficiency and performance improvement. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to align solutions with business needs. Mentor junior team members, sharing knowledge on best practices and advanced data engineering techniques. Stay up-to-date with evolving cloud technologies and analytics trends, implementing innovative solutions. Provide 3rd-line technical support, troubleshooting complex data-related incidents, and ensuring high system availability. Write and optimise complex SQL queries for extracting, transforming, and analysing data from cloud-based and on-premises data warehouses. Candidate Profile 3-5 years of experience working with cloud platforms. Strong background in data engineering and building cloud-based data solutions. Proficiency in SQL, Python/PySpark for writing and optimising complex queries. Experience with ETL/ELT processes and data querying in cloud platforms. Expertise in cloud data warehouses and related technologies. Strong knowledge of data security principles and compliance frameworks (e.g., GDPR). Ability to work in a fast-paced, collaborative environment while managing multiple priorities. Excellent problem-solving, analytical, and communication skills. A proactive approach with a passion for continuous learning and improvement in cloud analytics. Benefits & Culture 25 days holiday (plus Bank Holidays) Long Service Holiday Award - 1 extra week every 10 years Private Healthcare (offered after passing probation) Scottish Widows Pension Scheme (5% employer / 5% employee contributions) Staff Profit Share & Individual Performance Bonus Scheme Life Assurance (4x salary) & Permanent Health Insurance Paid CSR Day for community engagement Enhanced Maternity/Paternity Leave Subsidised gym membership & electric car scheme Agile/Hybrid Working Policy Dress for Your Day Policy If you're a skilled Cloud Analytics Engineer looking for an opportunity to make a significant impact in a growing organisation, please apply now or if you know anyone who would be a good fit for the role please contact removed)
Cloud Analytics Engineer Term: Permanent Working Hours: Full-time Department: Business Systems Location: Ipswich About the Role My client, a leading professional services firm, is seeking a talented Cloud Analytics Engineer to join their dynamic Business Systems team. This role focuses on designing, building, and maintaining cloud-based data analytics solutions, ensuring seamless data processing and storage for actionable insights. Reporting to the Data Systems Team Leader, you will play a key role in data engineering, cloud computing, and analytics, as well as providing expert-level 3rd-line support for hybrid cloud data systems. Key Responsibilities Develop and implement scalable data pipelines on cloud platforms (Azure, Fabric, Power Automate) for efficient data processing, storage, and retrieval. Build and maintain ETL/ELT processes to ensure clean, structured data for reporting and insights. Manage and optimise cloud-based data services, including data warehouses (e.g., Snowflake, Fabric, Azure). Implement security best practices, including encryption and compliance with data privacy regulations (ISO policies, Purview, GDPR). Automate data workflows using cloud-native services like Azure Data Factory, Microsoft Fabric, and orchestration tools. Continuously refine processes for cost-efficiency and performance improvement. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to align solutions with business needs. Mentor junior team members, sharing knowledge on best practices and advanced data engineering techniques. Stay up-to-date with evolving cloud technologies and analytics trends, implementing innovative solutions. Provide 3rd-line technical support, troubleshooting complex data-related incidents, and ensuring high system availability. Write and optimise complex SQL queries for extracting, transforming, and analysing data from cloud-based and on-premises data warehouses. Candidate Profile 3-5 years of experience working with cloud platforms. Strong background in data engineering and building cloud-based data solutions. Proficiency in SQL, Python/PySpark for writing and optimising complex queries. Experience with ETL/ELT processes and data querying in cloud platforms. Expertise in cloud data warehouses and related technologies. Strong knowledge of data security principles and compliance frameworks (e.g., GDPR). Ability to work in a fast-paced, collaborative environment while managing multiple priorities. Excellent problem-solving, analytical, and communication skills. A proactive approach with a passion for continuous learning and improvement in cloud analytics. Benefits & Culture 25 days holiday (plus Bank Holidays) Long Service Holiday Award - 1 extra week every 10 years Private Healthcare (offered after passing probation) Scottish Widows Pension Scheme (5% employer / 5% employee contributions) Staff Profit Share & Individual Performance Bonus Scheme Life Assurance (4x salary) & Permanent Health Insurance Paid CSR Day for community engagement Enhanced Maternity/Paternity Leave Subsidised gym membership & electric car scheme Agile/Hybrid Working Policy Dress for Your Day Policy If you're a skilled Cloud Analytics Engineer looking for an opportunity to make a significant impact in a growing organisation, please apply now or if you know anyone who would be a good fit for the role please contact removed)
14/03/2025
Full time
Cloud Analytics Engineer Term: Permanent Working Hours: Full-time Department: Business Systems Location: Ipswich About the Role My client, a leading professional services firm, is seeking a talented Cloud Analytics Engineer to join their dynamic Business Systems team. This role focuses on designing, building, and maintaining cloud-based data analytics solutions, ensuring seamless data processing and storage for actionable insights. Reporting to the Data Systems Team Leader, you will play a key role in data engineering, cloud computing, and analytics, as well as providing expert-level 3rd-line support for hybrid cloud data systems. Key Responsibilities Develop and implement scalable data pipelines on cloud platforms (Azure, Fabric, Power Automate) for efficient data processing, storage, and retrieval. Build and maintain ETL/ELT processes to ensure clean, structured data for reporting and insights. Manage and optimise cloud-based data services, including data warehouses (e.g., Snowflake, Fabric, Azure). Implement security best practices, including encryption and compliance with data privacy regulations (ISO policies, Purview, GDPR). Automate data workflows using cloud-native services like Azure Data Factory, Microsoft Fabric, and orchestration tools. Continuously refine processes for cost-efficiency and performance improvement. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to align solutions with business needs. Mentor junior team members, sharing knowledge on best practices and advanced data engineering techniques. Stay up-to-date with evolving cloud technologies and analytics trends, implementing innovative solutions. Provide 3rd-line technical support, troubleshooting complex data-related incidents, and ensuring high system availability. Write and optimise complex SQL queries for extracting, transforming, and analysing data from cloud-based and on-premises data warehouses. Candidate Profile 3-5 years of experience working with cloud platforms. Strong background in data engineering and building cloud-based data solutions. Proficiency in SQL, Python/PySpark for writing and optimising complex queries. Experience with ETL/ELT processes and data querying in cloud platforms. Expertise in cloud data warehouses and related technologies. Strong knowledge of data security principles and compliance frameworks (e.g., GDPR). Ability to work in a fast-paced, collaborative environment while managing multiple priorities. Excellent problem-solving, analytical, and communication skills. A proactive approach with a passion for continuous learning and improvement in cloud analytics. Benefits & Culture 25 days holiday (plus Bank Holidays) Long Service Holiday Award - 1 extra week every 10 years Private Healthcare (offered after passing probation) Scottish Widows Pension Scheme (5% employer / 5% employee contributions) Staff Profit Share & Individual Performance Bonus Scheme Life Assurance (4x salary) & Permanent Health Insurance Paid CSR Day for community engagement Enhanced Maternity/Paternity Leave Subsidised gym membership & electric car scheme Agile/Hybrid Working Policy Dress for Your Day Policy If you're a skilled Cloud Analytics Engineer looking for an opportunity to make a significant impact in a growing organisation, please apply now or if you know anyone who would be a good fit for the role please contact removed)
Data Scientist - Machine Learning / AI - North East - 60,000 - Hybrid Company Overview: My client is a Data-driven e-commerce outfit who are currently seeking a Data Scientist to help them achieve their goals. This client is one of the fastest growing online business in the country and they credit their forward thinking, technology and data first approach to their success. This is a great opportunity to be part of a team who will prioritise cutting-edge technology and give you a level of freedom to transform business operations, while maintaining a great work-life balance with flexible working arrangements. Role Overview: The client is looking for a talented Data Scientist with a strong background in Machine Learning and analytics. You will build, tune, and deploy ML models to help push the organisation into the future and remain ahead of their competitors. You will be working closely with the Data Engineering team in order to effectively implement and improve said models, in addition to ML you will leverage a range of AI tools to enhance performance and efficiency. Requirements: Experience with Machine Learning and model deployment Strong with Python, SQL and ML Frameworks Hands on experience with AWS services Nice to Have: Data Pipeline Experience Terraform Experience Databricks Experience This is an unmissable chance to hone your skills and grow your career working for a top e-commerce organisation, interviews are already underway so don't miss your chance. Apply Now! Contact - (url removed) (phone number removed) Amazon Lambda,AWS,Kafka,Machine learning,Python,SQL,Terraform, AI, ML, Artificial Intelligence, Data Science, Copilot, Chatbot, CI/CD, Data
14/03/2025
Full time
Data Scientist - Machine Learning / AI - North East - 60,000 - Hybrid Company Overview: My client is a Data-driven e-commerce outfit who are currently seeking a Data Scientist to help them achieve their goals. This client is one of the fastest growing online business in the country and they credit their forward thinking, technology and data first approach to their success. This is a great opportunity to be part of a team who will prioritise cutting-edge technology and give you a level of freedom to transform business operations, while maintaining a great work-life balance with flexible working arrangements. Role Overview: The client is looking for a talented Data Scientist with a strong background in Machine Learning and analytics. You will build, tune, and deploy ML models to help push the organisation into the future and remain ahead of their competitors. You will be working closely with the Data Engineering team in order to effectively implement and improve said models, in addition to ML you will leverage a range of AI tools to enhance performance and efficiency. Requirements: Experience with Machine Learning and model deployment Strong with Python, SQL and ML Frameworks Hands on experience with AWS services Nice to Have: Data Pipeline Experience Terraform Experience Databricks Experience This is an unmissable chance to hone your skills and grow your career working for a top e-commerce organisation, interviews are already underway so don't miss your chance. Apply Now! Contact - (url removed) (phone number removed) Amazon Lambda,AWS,Kafka,Machine learning,Python,SQL,Terraform, AI, ML, Artificial Intelligence, Data Science, Copilot, Chatbot, CI/CD, Data
Data Science Specialist Data & System Integration Specialist Use your expertise to integrate, analyse and visualise data from our Defence customers to make a real impact Location: Farnborough, Hampshire Join our dynamic UK Defence Services team and transform military data into actionable insights. Use your expertise in data integration, AI, and system optimization to support critical defence operations. Be part of a global team driving real-world impact-apply today! Job Role Help our customers bring value from their data, by making data integrations, data transformations and data visualisations. This will help our military customers to create powerful Common Intelligence Picture (CIP) outputs which will directly inform operational decision-making. Conduct meetings with the customer. Build and overview of customer data sources / sensors, how to integrate it and present it. Ma Get and include input from the client's Data Scientists about how to use AI to enrich the data. Integrate AI models into the data processing flows.ke data integrations and validate the outcomes with the customer. Bring technical expertise in data and system integrations to support both contracted project delivery and business development activities to pursue new sales opportunities. Key Stakeholders External: Customers (existing and potential), military stakeholders, industry partners Systematic: Project teams, Business Development teams, Insight Team, Data Science Team and Product Management. Technical Knowledge Advantage if you have worked with Linux, Docker and Kubernetes NodeRed or Apache Nifi OpenSearch and OpenSearch Dashboards Javascript / Python or similar Expression Language JSON / XML Java and Gradle PostgreSQL or other relational database REST Services Join our growing UK Defence Services team Our Defence Services team in the UK works closely with military customers and front-line users of our client's software products. We are a small, multi-disciplinary team of technical experts, engineers, software architects, trainers and project managers, whose expertise is highly valued by our customers in the UK and across Western Europe. As a member of this team, you will support the delivery of our broad portfolio of projects, collaborate with colleagues in the other Defence Services teams around the world, and support business developers with new sales opportunities to help drive our continued growth. Transform Defence Data info actionable insights: Integrate and streamline data for real-time operational success Drawing on a strong technical skillset in data science, data analytics, and information systems, you will work directly with our Defence customers to help them extract valuable insights from their data, to inform critical operational decision-making. You will be responsible for integrating and processing data from multiple systems and ensuring it is accessible and actionable within our platform and meet the needs of military users. Your work will involve using low-code/no-code tools to design and manage data workflows, performing data transformations, and occasionally scripting in Python to handle more complex tasks. As well as technical expertise, the ideal candidate will also have experience in external customer-facing or consultancy roles, working directly alongside users to understand their needs and challenges. You will have a strong focus on solving problems and delivering successful outcomes to customers. Some of your key tasks will include: - Data Integration: Ingest data from various external systems and sources into our internal platform. Ensure seamless data flow between different systems, enabling real-time or scheduled data synchronization. - Data Processing and Transformation: Utilize low-code/no-code platforms to design and manage data pipelines. Transform raw data into structured formats suitable for reporting, analysis, and visualization. Apply business logic and data mapping to ensure data consistency and accuracy. - System Integration: Integrate and configure various software systems to work together, ensuring data is properly exchanged and utilized. Collaborate with IT and development teams to ensure integrations meet technical and business requirements. - AI Service Integration: Integrate AI services into data workflows to enhance data processing capabilities. Utilize AI/ML models for tasks such as data classification, prediction, or extracting insights from unstructured data. - Data Reporting and Visualisation: Ensure transformed data is properly indexed and made searchable within our systems. Display processed data in dashboards and reports. Qualified Data Science Consultant skilled in data integration, APIs, cloud platforms, and problem-solving with strong collaboration abilities To succeed in this role, we imagine the right candidate to have - Technical Skills: Experience with data integration tools, such as NodeRed, Apache Nifi. Familiarity with APIs and AI services (e.g., using AI/ML APIs for data processing tasks). Knowledge of JSON, XML, and other data formats. - Experience: Proven experience in a data integration or system integration role. Experience with cloud platforms (e.g., AWS, Azure) is a plus. - Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Ability to work independently and manage multiple tasks simultaneously. - Educational background: Bachelor's degree in computer science, Information Technology, Data Science, or a related field, or equivalent work experience. Please note that you must be eligible to live and work in the UK, and must meet the requirements for UK Security Clearance. Never stop developing Our client is truly international and uniquely people-centric. Together, we write intelligent and innovative code to drive progress and improve lives, delivering it to our many customers and supporting them in its use. We develop IT solutions that make a real difference where it matters most. This is why we never stop developing. Here, we are committed to being more than just a workplace - our client is a community where professionalism meets personal connection and provides a sense of belonging and pride.
14/03/2025
Full time
Data Science Specialist Data & System Integration Specialist Use your expertise to integrate, analyse and visualise data from our Defence customers to make a real impact Location: Farnborough, Hampshire Join our dynamic UK Defence Services team and transform military data into actionable insights. Use your expertise in data integration, AI, and system optimization to support critical defence operations. Be part of a global team driving real-world impact-apply today! Job Role Help our customers bring value from their data, by making data integrations, data transformations and data visualisations. This will help our military customers to create powerful Common Intelligence Picture (CIP) outputs which will directly inform operational decision-making. Conduct meetings with the customer. Build and overview of customer data sources / sensors, how to integrate it and present it. Ma Get and include input from the client's Data Scientists about how to use AI to enrich the data. Integrate AI models into the data processing flows.ke data integrations and validate the outcomes with the customer. Bring technical expertise in data and system integrations to support both contracted project delivery and business development activities to pursue new sales opportunities. Key Stakeholders External: Customers (existing and potential), military stakeholders, industry partners Systematic: Project teams, Business Development teams, Insight Team, Data Science Team and Product Management. Technical Knowledge Advantage if you have worked with Linux, Docker and Kubernetes NodeRed or Apache Nifi OpenSearch and OpenSearch Dashboards Javascript / Python or similar Expression Language JSON / XML Java and Gradle PostgreSQL or other relational database REST Services Join our growing UK Defence Services team Our Defence Services team in the UK works closely with military customers and front-line users of our client's software products. We are a small, multi-disciplinary team of technical experts, engineers, software architects, trainers and project managers, whose expertise is highly valued by our customers in the UK and across Western Europe. As a member of this team, you will support the delivery of our broad portfolio of projects, collaborate with colleagues in the other Defence Services teams around the world, and support business developers with new sales opportunities to help drive our continued growth. Transform Defence Data info actionable insights: Integrate and streamline data for real-time operational success Drawing on a strong technical skillset in data science, data analytics, and information systems, you will work directly with our Defence customers to help them extract valuable insights from their data, to inform critical operational decision-making. You will be responsible for integrating and processing data from multiple systems and ensuring it is accessible and actionable within our platform and meet the needs of military users. Your work will involve using low-code/no-code tools to design and manage data workflows, performing data transformations, and occasionally scripting in Python to handle more complex tasks. As well as technical expertise, the ideal candidate will also have experience in external customer-facing or consultancy roles, working directly alongside users to understand their needs and challenges. You will have a strong focus on solving problems and delivering successful outcomes to customers. Some of your key tasks will include: - Data Integration: Ingest data from various external systems and sources into our internal platform. Ensure seamless data flow between different systems, enabling real-time or scheduled data synchronization. - Data Processing and Transformation: Utilize low-code/no-code platforms to design and manage data pipelines. Transform raw data into structured formats suitable for reporting, analysis, and visualization. Apply business logic and data mapping to ensure data consistency and accuracy. - System Integration: Integrate and configure various software systems to work together, ensuring data is properly exchanged and utilized. Collaborate with IT and development teams to ensure integrations meet technical and business requirements. - AI Service Integration: Integrate AI services into data workflows to enhance data processing capabilities. Utilize AI/ML models for tasks such as data classification, prediction, or extracting insights from unstructured data. - Data Reporting and Visualisation: Ensure transformed data is properly indexed and made searchable within our systems. Display processed data in dashboards and reports. Qualified Data Science Consultant skilled in data integration, APIs, cloud platforms, and problem-solving with strong collaboration abilities To succeed in this role, we imagine the right candidate to have - Technical Skills: Experience with data integration tools, such as NodeRed, Apache Nifi. Familiarity with APIs and AI services (e.g., using AI/ML APIs for data processing tasks). Knowledge of JSON, XML, and other data formats. - Experience: Proven experience in a data integration or system integration role. Experience with cloud platforms (e.g., AWS, Azure) is a plus. - Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Ability to work independently and manage multiple tasks simultaneously. - Educational background: Bachelor's degree in computer science, Information Technology, Data Science, or a related field, or equivalent work experience. Please note that you must be eligible to live and work in the UK, and must meet the requirements for UK Security Clearance. Never stop developing Our client is truly international and uniquely people-centric. Together, we write intelligent and innovative code to drive progress and improve lives, delivering it to our many customers and supporting them in its use. We develop IT solutions that make a real difference where it matters most. This is why we never stop developing. Here, we are committed to being more than just a workplace - our client is a community where professionalism meets personal connection and provides a sense of belonging and pride.
Lead ML Engineer London - Hybrid 80,000 - 95,000 + Bonus + Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world. The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you'll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews. The ideal candidate will have hands-on industry experience in software engineering, machine learning engineering, data science, DevOps, and cloud infrastructure. They will be highly proficient in Python, including libraries such as Pandas and scikit-learn, and possess strong SQL skills. A deep understanding of software engineering best practices and hands-on experience with tools like Azure, GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, and Linux/Windows VM administration is essential. An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members and support their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. Ensure high-quality code and actively participate in code reviews to maintain code quality. The Person: Hands-on industry experience in software engineering, machine learning engineering, data science, DevOps, and cloud infrastructure. Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices. Experience with tools like Azure, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes. Expertise in Linux/Windows VM administration. Solid knowledge of modern security and networking principles.
14/03/2025
Full time
Lead ML Engineer London - Hybrid 80,000 - 95,000 + Bonus + Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world. The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you'll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews. The ideal candidate will have hands-on industry experience in software engineering, machine learning engineering, data science, DevOps, and cloud infrastructure. They will be highly proficient in Python, including libraries such as Pandas and scikit-learn, and possess strong SQL skills. A deep understanding of software engineering best practices and hands-on experience with tools like Azure, GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, and Linux/Windows VM administration is essential. An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members and support their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. Ensure high-quality code and actively participate in code reviews to maintain code quality. The Person: Hands-on industry experience in software engineering, machine learning engineering, data science, DevOps, and cloud infrastructure. Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices. Experience with tools like Azure, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes. Expertise in Linux/Windows VM administration. Solid knowledge of modern security and networking principles.
