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.
Apr 11, 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)
Jul 03, 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).
May 15, 2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
Royal Society of Biology
Remote mostly, occasional visits to London office
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Oct 05, 2022
Contractor
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 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.
Team / Department : Data Science Team within Marketing Sciences Department ROLE We are looking for a Senior Data Scientist to join our world-class Data Science team of around 8 data scientists led by George Cushen ( ). As a business, we've won some of the biggest pitches in our category, such as Virgin Media 02 and Mercedes. Our clients say that we're "reinventing the future of marketing", applying the latest developments at the rapidly growing intersection of AI and marketing. We're part of Omnicom, the global leader in marketing communications, and more specifically, we're the data-centric arm of the Omnicom Precision Marketing Group (OPMG). RESPONSIBILITIES Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors such as retail, telecoms, banking, and fast-food Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Deliver effective presentations of findings and recommendations to technical and non-technical stakeholders Document projects in a manner that ensures specific processes can be replicated and scaled across an organization Collaborate with multiple teams and stakeholders in an agile, fast-paced, dynamic, and entrepreneurial environment Support with transforming technology and processes to employ latest best practices QUALIFICATIONS Basic Qualifications BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib Demonstrable skills in creative problem solving with strong attention to detail Clear, concise and engaging communications skills, and the ability to distil and translate complex analysis into actionable insights that a client will easily understand Preferred Qualifications MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app Experience in analysing media, email, and web data, such as Google Ads, Meta, SalesForce, and Adobe Analytics Experience with media measurement solutions, such as media mix modelling, attribution models, causal inference, and experimentation (A/B testing and bandits) Experience versioning models with tools such as MLFlow for reproducibility Experience creating custom Python apps/dashboards with Dash Experience designing and creating APIs with FastAPI Experience with NLP, Computer Vision, and GenAI Experience enriching first-party data with advanced feature engineering and third-party data Demonstrable skills in problem-solving of complex and advanced technical subject matters Key attributes Attention to detail, exhibiting data curiosity and scepticism to ensure accurate and quality results A curious thinker who demonstrates interests in a wide range of business and technical subjects Proactive, passionate about building data and innovation solutions Excellent written and verbal communication skills - communicate efficiently and effectively to both technical and non-technical audiences ABOUT RAPP We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency's vision. And most importantly we value every individual's wellbeing. As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one - but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. Us We are true advocates of flexible working with a hybrid working policy of 3 days per week in our incredible South Bank office, next to cultural hubs such as the Tate Modern. We ask you to work where and when you work best. We'll be honest though, we do love seeing people in the office, because it delivers on our Culture, Collaboration and Connection. For Concentration, work where you'll work best. We call it the 4 Cs. Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. We recognise that the work of diversity, equity and inclusion calls on all of us. That's why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. You're better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a "Me" day and an "Us" day, every year. Your "Me" day is for you to invest in yourself - go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! Your "Us" day is all about giving back and helping others - volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. We're progressive and always open to new initiatives, for example we've recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn't always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. Recruitment process We like to keep recruitment swift, lean, and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can't wait to meet you! Do you require sponsorship to work in the UK? I am able to commute to the London Bankside office 3x a week.
May 18, 2024
Full time
Team / Department : Data Science Team within Marketing Sciences Department ROLE We are looking for a Senior Data Scientist to join our world-class Data Science team of around 8 data scientists led by George Cushen ( ). As a business, we've won some of the biggest pitches in our category, such as Virgin Media 02 and Mercedes. Our clients say that we're "reinventing the future of marketing", applying the latest developments at the rapidly growing intersection of AI and marketing. We're part of Omnicom, the global leader in marketing communications, and more specifically, we're the data-centric arm of the Omnicom Precision Marketing Group (OPMG). RESPONSIBILITIES Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors such as retail, telecoms, banking, and fast-food Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Deliver effective presentations of findings and recommendations to technical and non-technical stakeholders Document projects in a manner that ensures specific processes can be replicated and scaled across an organization Collaborate with multiple teams and stakeholders in an agile, fast-paced, dynamic, and entrepreneurial environment Support with transforming technology and processes to employ latest best practices QUALIFICATIONS Basic Qualifications BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib Demonstrable skills in creative problem solving with strong attention to detail Clear, concise and engaging communications skills, and the ability to distil and translate complex analysis into actionable insights that a client will easily understand Preferred Qualifications MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app Experience in analysing media, email, and web data, such as Google Ads, Meta, SalesForce, and Adobe Analytics Experience with media measurement solutions, such as media mix modelling, attribution models, causal inference, and experimentation (A/B testing and bandits) Experience versioning models with tools such as MLFlow for reproducibility Experience creating custom Python apps/dashboards with Dash Experience designing and creating APIs with FastAPI Experience with NLP, Computer Vision, and GenAI Experience enriching first-party data with advanced feature engineering and third-party data Demonstrable skills in problem-solving of complex and advanced technical subject matters Key attributes Attention to detail, exhibiting data curiosity and scepticism to ensure accurate and quality results A curious thinker who demonstrates interests in a wide range of business and technical subjects Proactive, passionate about building data and innovation solutions Excellent written and verbal communication skills - communicate efficiently and effectively to both technical and non-technical audiences ABOUT RAPP We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency's vision. And most importantly we value every individual's wellbeing. As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one - but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. Us We are true advocates of flexible working with a hybrid working policy of 3 days per week in our incredible South Bank office, next to cultural hubs such as the Tate Modern. We ask you to work where and when you work best. We'll be honest though, we do love seeing people in the office, because it delivers on our Culture, Collaboration and Connection. For Concentration, work where you'll work best. We call it the 4 Cs. Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. We recognise that the work of diversity, equity and inclusion calls on all of us. That's why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. You're better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a "Me" day and an "Us" day, every year. Your "Me" day is for you to invest in yourself - go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! Your "Us" day is all about giving back and helping others - volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. We're progressive and always open to new initiatives, for example we've recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn't always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. Recruitment process We like to keep recruitment swift, lean, and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can't wait to meet you! Do you require sponsorship to work in the UK? I am able to commute to the London Bankside office 3x a week.
Abingdon Rd, Culham, UK Full-time Salary: £49,396 to £52,293 (inclusive of MPP) + excellent benefits including outstanding pension Division: Computing Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Level 5 Department: Computational Science and Engineering Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world's energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for groundbreaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission UKAEA embraces core values of innovation, commitment, trust and collaboration. As an employee of UKAEA you will benefit from: Outstanding defined benefit pension scheme, details of which can be found at the end of this advert. Corporate bonus scheme up to 7% and a Relocation allowance (if eligible). Flexible working options including family friendly policies and the right to request flexible working from the start of your employment. Employee Assistance Programme and trained Mental Health First Aiders. Generous annual leave allowance starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays. Wide range of career development opportunities . A vibrant culture committed to equality and being fully inclusive . The salary for this role is level 5 - £46,293 plus Market Premium Payment (MPP) of £6,000). Job Description UKAEA's pay arrangements and grading structure are currently under review as part of a transformation project and proposed multi-year pay deal. UKAEA aims to introduce a new grading structure in 2024. This will enable us to lead the delivery of sustainable fusion energy and maximise the scientific and economic benefit. Now is a great time to join the Organisation and be part of the journey. This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions. The Role Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy. The Computing Division at UKAEA plays a vital role in fusion reactor research, covering HPC, data solutions, algorithm development, and AI. This role, within the plasma simulation group, applies modern computational methods to areas of plasma physics. We collaborate closely with specialists in the plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilising machine learning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution. Responsibilities: Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations. Conduct research into novel numerical techniques applicable to fusion and related fields, managing the migration of codes to new computing architectures and evaluating their effectiveness. Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machine learning models. Collaborate with national and international partners to optimise codes for peta- and exa-scale systems, evaluate novel computing architectures, and lead efforts in performance portability to drive future advancements. Qualifications Essential Requirements: Doctoral degree in a computational, mathematical, or physical science discipline (or equivalent experience). Established knowledge of plasma physics and fusion energy. Demonstrable experience with compiled level languages (e.g., C++, Fortran, C) or advanced scripting languages (Julia, R, Python). A solid foundation in either numerical methods, high performance computing, scientific software engineering or machine learning. An established track record of research publication or high-quality software development. Experience in leading a small team either as project or technical manager. Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women. Our Executive team, supported by our 'Equality, Diversity and Inclusion' (EDI) Partner and Inclusion Ambassadors, actively promotes EDI and takes steps to increase diversity within our organization. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.
May 18, 2024
Full time
Abingdon Rd, Culham, UK Full-time Salary: £49,396 to £52,293 (inclusive of MPP) + excellent benefits including outstanding pension Division: Computing Site Location: UKAEA Culham, Oxfordshire Confirmed Grade: Level 5 Department: Computational Science and Engineering Company Description By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world's energy? If so, read on. Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA leads the way in realising fusion energy, partnering with industry and research for groundbreaking advancements. Our goal is to bring fusion electricity to the grid, supported by tomorrow's power stations. In pursuit of our mission UKAEA embraces core values of innovation, commitment, trust and collaboration. As an employee of UKAEA you will benefit from: Outstanding defined benefit pension scheme, details of which can be found at the end of this advert. Corporate bonus scheme up to 7% and a Relocation allowance (if eligible). Flexible working options including family friendly policies and the right to request flexible working from the start of your employment. Employee Assistance Programme and trained Mental Health First Aiders. Generous annual leave allowance starting with 25 days, plus 3 days Christmas closure and 2.5 privilege days, in addition to UK bank holidays. Wide range of career development opportunities . A vibrant culture committed to equality and being fully inclusive . The salary for this role is level 5 - £46,293 plus Market Premium Payment (MPP) of £6,000). Job Description UKAEA's pay arrangements and grading structure are currently under review as part of a transformation project and proposed multi-year pay deal. UKAEA aims to introduce a new grading structure in 2024. This will enable us to lead the delivery of sustainable fusion energy and maximise the scientific and economic benefit. Now is a great time to join the Organisation and be part of the journey. This role requires employees to complete an online Baseline Personnel Security Standard (BPSS), including The Disclosure & Barring Service (DBS) checks for criminal convictions. The Role Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy. The Computing Division at UKAEA plays a vital role in fusion reactor research, covering HPC, data solutions, algorithm development, and AI. This role, within the plasma simulation group, applies modern computational methods to areas of plasma physics. We collaborate closely with specialists in the plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilising machine learning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution. Responsibilities: Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations. Conduct research into novel numerical techniques applicable to fusion and related fields, managing the migration of codes to new computing architectures and evaluating their effectiveness. Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machine learning models. Collaborate with national and international partners to optimise codes for peta- and exa-scale systems, evaluate novel computing architectures, and lead efforts in performance portability to drive future advancements. Qualifications Essential Requirements: Doctoral degree in a computational, mathematical, or physical science discipline (or equivalent experience). Established knowledge of plasma physics and fusion energy. Demonstrable experience with compiled level languages (e.g., C++, Fortran, C) or advanced scripting languages (Julia, R, Python). A solid foundation in either numerical methods, high performance computing, scientific software engineering or machine learning. An established track record of research publication or high-quality software development. Experience in leading a small team either as project or technical manager. Additional Information For a full list of benefits and to apply, select the apply button to be taken through to the UKAEA careers pages. We welcome applications from under-represented groups, particularly individuals from black and other ethnic minority backgrounds, people with disabilities, and women. Our Executive team, supported by our 'Equality, Diversity and Inclusion' (EDI) Partner and Inclusion Ambassadors, actively promotes EDI and takes steps to increase diversity within our organization. We reinforce best practices in recruitment and selection and evaluate approaches to remove barriers to success. Please note that vacancies are generally advertised for 4 weeks but may close earlier if we receive a large number of applications.
causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest. Since the company was established in 2017, causaLens has: Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs . Raised $45 million in Series A funding Been named a leading provider of Causal AI solutions by Gartner - here Included in Otta's 2022 Rocket List as one of the fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our MissionTo radically advance human decision-making.A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.Head to our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a talented individual with a unique blend of Machine Learning Engineering and Data Science experience to join our team in a role focused on optimizing the path to production for Data Scientists. This role will primarily involve empowering Data Scientists to independently deploy their work into production. A day in life: Collaborate closely with data scientists to understand their workflow challenges and requirements for deploying their work into production. Develop and enhance mechanisms and processes to streamline the integration of causal AI models into the MLOps workflow, customizing it to suit causality. Design and implement tools, visualizations, and mechanisms that empower data scientists to deploy their work into production autonomously, reducing dependencies on additional teams or assistance. Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency. Act as a subject matter expert on processes and best practices, providing guidance and support to data scientists on deployment and monitoring. Collaborate with cross-functional teams including data science, software engineering, and product to align technical solutions with business objectives and user needs. This role offers a unique opportunity to leverage expertise in both machine learning engineering and data science to drive transformative changes in empowering data scientists with advanced capabilities in causal AI. If you are passionate about streamlining the path to production for data scientists and accelerating the adoption of causal AI technologies, we encourage you to apply and contribute to our team. You have: Bachelor's or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience. 3-5 years of professional experience in machine learning engineering, data science, or a related role, with significant exposure to deploying machine learning models into production. Strong proficiency in Python for both machine learning engineering and data science tasks. Experience with MLOps practices, including model deployment, monitoring, version control, and CI/CD pipelines. Proven experience in data pipelining, system architecture, and design for scalable and reliable production environments. Strong communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders. Excellent attention to detail and commitment to delivering high-quality work in a fast-paced environment. About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others. We may be biased, but we believe you'll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you'll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! What we offer We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following: Access to mental health support through Spill Competitive salary 25 days of paid holiday, plus bank holidays Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Office snacks and drinks Logistics Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don't hesitate to reach out if you have any questions.
May 18, 2024
Full time
causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest. Since the company was established in 2017, causaLens has: Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs . Raised $45 million in Series A funding Been named a leading provider of Causal AI solutions by Gartner - here Included in Otta's 2022 Rocket List as one of the fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our MissionTo radically advance human decision-making.A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.Head to our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a talented individual with a unique blend of Machine Learning Engineering and Data Science experience to join our team in a role focused on optimizing the path to production for Data Scientists. This role will primarily involve empowering Data Scientists to independently deploy their work into production. A day in life: Collaborate closely with data scientists to understand their workflow challenges and requirements for deploying their work into production. Develop and enhance mechanisms and processes to streamline the integration of causal AI models into the MLOps workflow, customizing it to suit causality. Design and implement tools, visualizations, and mechanisms that empower data scientists to deploy their work into production autonomously, reducing dependencies on additional teams or assistance. Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency. Act as a subject matter expert on processes and best practices, providing guidance and support to data scientists on deployment and monitoring. Collaborate with cross-functional teams including data science, software engineering, and product to align technical solutions with business objectives and user needs. This role offers a unique opportunity to leverage expertise in both machine learning engineering and data science to drive transformative changes in empowering data scientists with advanced capabilities in causal AI. If you are passionate about streamlining the path to production for data scientists and accelerating the adoption of causal AI technologies, we encourage you to apply and contribute to our team. You have: Bachelor's or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience. 3-5 years of professional experience in machine learning engineering, data science, or a related role, with significant exposure to deploying machine learning models into production. Strong proficiency in Python for both machine learning engineering and data science tasks. Experience with MLOps practices, including model deployment, monitoring, version control, and CI/CD pipelines. Proven experience in data pipelining, system architecture, and design for scalable and reliable production environments. Strong communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders. Excellent attention to detail and commitment to delivering high-quality work in a fast-paced environment. About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others. We may be biased, but we believe you'll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you'll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! What we offer We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following: Access to mental health support through Spill Competitive salary 25 days of paid holiday, plus bank holidays Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Office snacks and drinks Logistics Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don't hesitate to reach out if you have any questions.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 18, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Senior Healthcare Data Scientist (12 Month FTC) London £60,000-£70,000 This is a new opportunity for a Data Scientist to join a management consultancy specialising in Healthcare & Life Sciences THE ROLE As a Senior Data Scientist for the business you will: Dashboarding and reporting for clients - working directly with non-technical stakeholders and external clients Capacity and demand modelling Developing AI across the business to standardise processes, internal tools and increase the use of AI (Gen AI too) Improving automation across the business Population Health analysis SKILLS AND EXPERIENCE Strong academic background to Degree level in a numerical subject Strong commercial experience in a consultative setting Experience working in the healthcare space on relevant topics (population health etc) Good communication skills Tech: Python, SQL, AWS / GCP / Azure SALARY AND BENEFITS Basic salary £60,000-£70,000 Hybrid working Bonus scheme, private healthcare, 25 days holiday, 5% pension 4 study days per year for personal development HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
May 18, 2024
Full time
Senior Healthcare Data Scientist (12 Month FTC) London £60,000-£70,000 This is a new opportunity for a Data Scientist to join a management consultancy specialising in Healthcare & Life Sciences THE ROLE As a Senior Data Scientist for the business you will: Dashboarding and reporting for clients - working directly with non-technical stakeholders and external clients Capacity and demand modelling Developing AI across the business to standardise processes, internal tools and increase the use of AI (Gen AI too) Improving automation across the business Population Health analysis SKILLS AND EXPERIENCE Strong academic background to Degree level in a numerical subject Strong commercial experience in a consultative setting Experience working in the healthcare space on relevant topics (population health etc) Good communication skills Tech: Python, SQL, AWS / GCP / Azure SALARY AND BENEFITS Basic salary £60,000-£70,000 Hybrid working Bonus scheme, private healthcare, 25 days holiday, 5% pension 4 study days per year for personal development HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
Data Scientist I am currently working with the worlds most automated wet wipe manufacturers based in their Flintshire site in North Wales. You will be working on some of the market leading products, looking for a Data Scientist to collate what they have in place. Key responsibilities for the Data Scientist Collate all scientific data for the site and create a platform for this to be visible for internal and external customers and suppliers. Write scientific technical reports in a professional, yet user friendly format. Communicate with various teams and often creating your own data. Be a point of contact for seniors' members of staff for Data trends etc. Requirements for the Data Scientist Hold a Scientific Degree or related degree. 2 Years' experience working within Data Analysis Strong written and verbal communication skills. Benefits for the Data Scientist Free on-site parking. Fantastic career development opportunities. Continuous company growth. Social working hours- No weekends. Early finish on a Friday. To apply for the Data Scientist or here more information, please contact Liam Shannon at Science Solutions Recruitment on .
May 18, 2024
Full time
Data Scientist I am currently working with the worlds most automated wet wipe manufacturers based in their Flintshire site in North Wales. You will be working on some of the market leading products, looking for a Data Scientist to collate what they have in place. Key responsibilities for the Data Scientist Collate all scientific data for the site and create a platform for this to be visible for internal and external customers and suppliers. Write scientific technical reports in a professional, yet user friendly format. Communicate with various teams and often creating your own data. Be a point of contact for seniors' members of staff for Data trends etc. Requirements for the Data Scientist Hold a Scientific Degree or related degree. 2 Years' experience working within Data Analysis Strong written and verbal communication skills. Benefits for the Data Scientist Free on-site parking. Fantastic career development opportunities. Continuous company growth. Social working hours- No weekends. Early finish on a Friday. To apply for the Data Scientist or here more information, please contact Liam Shannon at Science Solutions Recruitment on .
Machine Learning Engineer III page is loaded Machine Learning Engineer III Apply locations The Adelphi, London, GB time type Full time posted on Posted 23 Days Ago job requisition id R-15358 Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Job Description Location: London, GB Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month. We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe. What will you be doing? Participate in model design, optimization, testing, quality assurance, and defect resolution Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets Deliver and orchestrate machine learning infrastructure within production environments Collaborate with Engineers and Scientists to architect and implement a shared vision Participate in the entire software development lifecycle, from concept to release Provide technical expertise to junior team members Who you are: Applicants should have a degree (M.S or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience Years of software development experience designing scalable systems related to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Experience in cloud-based infrastructures such as AWS or GCP Exposure to orchestration platforms such as Apache Airflow or Kubeflow Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team What benefits do we offer ? Condé Nast Learning Hub where you'll find you'll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages 25 days holiday and extra days of annual leave life events like moving house or wanting to volunteer with a charity Hybrid working and core hours Competitive pension scheme Bupa Private Healthcare Season ticket loans Cycle to work Employee Assistance programme Bring your dog to work A wide variety of wellness benefits including gym discounts Discounts and Magazine Subscriptions Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics. About Us Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. Headquartered in New York and London, the company produces award-winning journalism, content and entertainment for every platform today and operates in 32 markets worldwide including China, France, Germany, India, Italy, Japan, Mexico, Spain, the U.K. and U.S., and Taiwan. At Condé Nast we value diversity of background, views and cultures. We celebrate people for their personal qualities, their skills and contributions. And we recognize the power our brands have to influence and shape culture, catalyze action and help make our world a better place for all. For more information, please visit and for Twitter for Instagram.
May 18, 2024
Full time
Machine Learning Engineer III page is loaded Machine Learning Engineer III Apply locations The Adelphi, London, GB time type Full time posted on Posted 23 Days Ago job requisition id R-15358 Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Job Description Location: London, GB Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month. We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe. What will you be doing? Participate in model design, optimization, testing, quality assurance, and defect resolution Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets Deliver and orchestrate machine learning infrastructure within production environments Collaborate with Engineers and Scientists to architect and implement a shared vision Participate in the entire software development lifecycle, from concept to release Provide technical expertise to junior team members Who you are: Applicants should have a degree (M.S or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience Years of software development experience designing scalable systems related to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Experience in cloud-based infrastructures such as AWS or GCP Exposure to orchestration platforms such as Apache Airflow or Kubeflow Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team What benefits do we offer ? Condé Nast Learning Hub where you'll find you'll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages 25 days holiday and extra days of annual leave life events like moving house or wanting to volunteer with a charity Hybrid working and core hours Competitive pension scheme Bupa Private Healthcare Season ticket loans Cycle to work Employee Assistance programme Bring your dog to work A wide variety of wellness benefits including gym discounts Discounts and Magazine Subscriptions Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics. About Us Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. Headquartered in New York and London, the company produces award-winning journalism, content and entertainment for every platform today and operates in 32 markets worldwide including China, France, Germany, India, Italy, Japan, Mexico, Spain, the U.K. and U.S., and Taiwan. At Condé Nast we value diversity of background, views and cultures. We celebrate people for their personal qualities, their skills and contributions. And we recognize the power our brands have to influence and shape culture, catalyze action and help make our world a better place for all. For more information, please visit and for Twitter for Instagram.
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems, LLM fine-tuning, etc.) This role is looking to start on June 3rd and run for an initial 10 weeks. Please apply for further details.
May 18, 2024
Contractor
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems, LLM fine-tuning, etc.) This role is looking to start on June 3rd and run for an initial 10 weeks. Please apply for further details.
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
May 18, 2024
Contractor
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
May 18, 2024
Full time
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Project Manager I'm working with an AI start-up in Cambridge who are pioneers in neural computing and they are revolutionizing high-performance computing for data-intensive applications. They work to bring together experts in AI and semiconductor design and they are looking for a Project Manager to join them in a rapidly changing environment where you can help innovative ideas become transformative products and services. As a Project Manager, you'll work with a diverse team of engineers, software developers, architects, and data scientists. Your role will involve project planning, team coordination, and roadmap maintenance. Responsibilities Manage project portfolio. Monitor progress, report, and manage risks. Coordinate technical activities. Manage collaboration tools. Foster cross-team collaboration. Essential Skills: 3+ years of project management. Formal project management qualification. Strong interpersonal and problem-solving skills. AI and Machine Learning understanding. Desirable Skills: AI or semiconductor experience. Product management or scrum master experience. Leading technical teams. Proficiency in Jira and Confluence. Korean/English fluency. Benefits: stock options, annual bonus plan, healthcare, pension scheme, a hybrid work environment, training budget, 25 days annual leave.
May 18, 2024
Full time
Project Manager I'm working with an AI start-up in Cambridge who are pioneers in neural computing and they are revolutionizing high-performance computing for data-intensive applications. They work to bring together experts in AI and semiconductor design and they are looking for a Project Manager to join them in a rapidly changing environment where you can help innovative ideas become transformative products and services. As a Project Manager, you'll work with a diverse team of engineers, software developers, architects, and data scientists. Your role will involve project planning, team coordination, and roadmap maintenance. Responsibilities Manage project portfolio. Monitor progress, report, and manage risks. Coordinate technical activities. Manage collaboration tools. Foster cross-team collaboration. Essential Skills: 3+ years of project management. Formal project management qualification. Strong interpersonal and problem-solving skills. AI and Machine Learning understanding. Desirable Skills: AI or semiconductor experience. Product management or scrum master experience. Leading technical teams. Proficiency in Jira and Confluence. Korean/English fluency. Benefits: stock options, annual bonus plan, healthcare, pension scheme, a hybrid work environment, training budget, 25 days annual leave.
Senior Data Scientist - Windsor/Hybrid - 65-75K Austin Fraser is currently supporting a leading company in the food industry that improves the efficiency, quality and safety of food production. They are now looking to on board an experienced Senior Data Scientist on a permanent basis. This is a fantastic opportunity to work with cutting-edge technology in a rapidly growing environment. Location: Windsor / 1 day on site per week. Salary: up to 75K depending on experience. Requirements: Previous experience working as a Data Scientist or Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
May 17, 2024
Full time
Senior Data Scientist - Windsor/Hybrid - 65-75K Austin Fraser is currently supporting a leading company in the food industry that improves the efficiency, quality and safety of food production. They are now looking to on board an experienced Senior Data Scientist on a permanent basis. This is a fantastic opportunity to work with cutting-edge technology in a rapidly growing environment. Location: Windsor / 1 day on site per week. Salary: up to 75K depending on experience. Requirements: Previous experience working as a Data Scientist or Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems, LLM fine-tuning, etc.) This role is looking to start on June 3rd and run for an initial 10 weeks. Please apply for further details.
May 17, 2024
Contractor
MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems, LLM fine-tuning, etc.) This role is looking to start on June 3rd and run for an initial 10 weeks. Please apply for further details.
Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity / C#) and their applications across various sectors. You MUST have Front-end development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for real-time or batch processing Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 17, 2024
Full time
Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity / C#) and their applications across various sectors. You MUST have Front-end development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for real-time or batch processing Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Power BI Specialist - London (SW1) My client a market leading provider grants clients access to bespoke data insights and analytics specific to their needs, providing research, data and expertise to support clients and all lines of business (Advisory, Digital, Search). They is an innovation centre focused on illuminating key trends and drivers of human and organizational performance, and also has a focus on delivering deep insights to clients, working collaboratively with our colleagues across the business. We are seeking an experienced and highly skilled Power BI Specialist to join our team. You will be responsible for designing, developing, and maintaining complex Power BI solutions to meet the analytical needs of our organisation, as well as advising on and maintaining our Power BI architecture and environment. This role will be based from my clients SW1 office, however both the hybrid working model and salary / package are to be discussed during interview as it will vary from candidate to candidate (Please note however all candidates must be within a commutable distance to London and have the full right to work in the UK!) Responsibilities: Power BI architecture, environment and dataflows Establish best practices and standards for managing Power BI artifacts, including reports, datasets, and dataflows within workspaces. Configure and manage dataflows to ingest, transform, and prepare data from various sources for analysis within Power BI. Develop and implement strategies for automating data refresh processes to keep Power BI reports and dashboards up-to-date. Manage Power BI deployment pipelines for development, testing, and production environments. Leverage Power BI REST APIs to automate CI/CD pipelines for updating, publishing, and deploying numerous dashboards at scale. Power BI development Develop advanced Power BI reports, dashboards, and interactive visualizations that provide actionable insights and drive data-driven decision-making. Design and implement efficient and scalable data models using Power BI Desktop and SQL Server Analysis Services (SSAS). Write complex M query and DAX calculations to manipulate and transform data for analysis and reporting purposes. Integrate Python and/or R scripts into Power BI for data transformation and data visualization. Optimise performance of Power BI reports and dashboards to ensure fast load times and smooth user experience. Documentation, training and support Create and maintain documentation related to Power BI solutions, including data models, calculations, and report designs. Provide training and support to upskill other data scientists on how to improve their Power BI capabilities. Requirements: 5 - 10 years of experience in business intelligence and data analytics, ideally with 5 years of hands-on experience with Power BI. Expertise in designing and developing complex Power BI reports and dashboards from scratch, with strengths in creating elegant, highly professional data visualisations. Strong understanding of data modeling and data integration concepts and experience building data models using Power BI Desktop and SSAS. Proven expertise in designing and implementing Power BI architecture, including workspaces, datasets, and dataflows. Proficiency in Power Query M language and writing advanced DAX calculations and optimizing performance of Power BI solutions. Proficiency in configuring and managing data refresh schedules and automating data pipelines in Power BI. Experience working with large and complex datasets from multiple sources. Experience working with Power BI gateways. Microsoft Power BI certification(s) - Desirable. If the above role is of interest and you've got the required experience, apply with your most up to date CV for immediate consideration and interview! Alternatively, if you would like to find out more about the position, reach out to me on (phone number removed) or at (url removed) In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
May 17, 2024
Full time
Power BI Specialist - London (SW1) My client a market leading provider grants clients access to bespoke data insights and analytics specific to their needs, providing research, data and expertise to support clients and all lines of business (Advisory, Digital, Search). They is an innovation centre focused on illuminating key trends and drivers of human and organizational performance, and also has a focus on delivering deep insights to clients, working collaboratively with our colleagues across the business. We are seeking an experienced and highly skilled Power BI Specialist to join our team. You will be responsible for designing, developing, and maintaining complex Power BI solutions to meet the analytical needs of our organisation, as well as advising on and maintaining our Power BI architecture and environment. This role will be based from my clients SW1 office, however both the hybrid working model and salary / package are to be discussed during interview as it will vary from candidate to candidate (Please note however all candidates must be within a commutable distance to London and have the full right to work in the UK!) Responsibilities: Power BI architecture, environment and dataflows Establish best practices and standards for managing Power BI artifacts, including reports, datasets, and dataflows within workspaces. Configure and manage dataflows to ingest, transform, and prepare data from various sources for analysis within Power BI. Develop and implement strategies for automating data refresh processes to keep Power BI reports and dashboards up-to-date. Manage Power BI deployment pipelines for development, testing, and production environments. Leverage Power BI REST APIs to automate CI/CD pipelines for updating, publishing, and deploying numerous dashboards at scale. Power BI development Develop advanced Power BI reports, dashboards, and interactive visualizations that provide actionable insights and drive data-driven decision-making. Design and implement efficient and scalable data models using Power BI Desktop and SQL Server Analysis Services (SSAS). Write complex M query and DAX calculations to manipulate and transform data for analysis and reporting purposes. Integrate Python and/or R scripts into Power BI for data transformation and data visualization. Optimise performance of Power BI reports and dashboards to ensure fast load times and smooth user experience. Documentation, training and support Create and maintain documentation related to Power BI solutions, including data models, calculations, and report designs. Provide training and support to upskill other data scientists on how to improve their Power BI capabilities. Requirements: 5 - 10 years of experience in business intelligence and data analytics, ideally with 5 years of hands-on experience with Power BI. Expertise in designing and developing complex Power BI reports and dashboards from scratch, with strengths in creating elegant, highly professional data visualisations. Strong understanding of data modeling and data integration concepts and experience building data models using Power BI Desktop and SSAS. Proven expertise in designing and implementing Power BI architecture, including workspaces, datasets, and dataflows. Proficiency in Power Query M language and writing advanced DAX calculations and optimizing performance of Power BI solutions. Proficiency in configuring and managing data refresh schedules and automating data pipelines in Power BI. Experience working with large and complex datasets from multiple sources. Experience working with Power BI gateways. Microsoft Power BI certification(s) - Desirable. If the above role is of interest and you've got the required experience, apply with your most up to date CV for immediate consideration and interview! Alternatively, if you would like to find out more about the position, reach out to me on (phone number removed) or at (url removed) In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.