Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
11/04/2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
23/12/2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Sets the vision for manipulation and analyses of large and complex data sets. Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities. Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . Builds out a world class data science team that is aligned to support to the business as key business function. Provides thought leadership to support the key technology initiatives. Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. Basic Qualifications Master's degree and at least 6 years of experience in a quantitative or computational function. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives. Previous experience contributing to financial decisions in the workplace. Previous direct leadership, indirect leadership and/or cross- functional team leadership. If this is the role for you, apply today
19/04/2025
Full time
This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Sets the vision for manipulation and analyses of large and complex data sets. Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities. Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . Builds out a world class data science team that is aligned to support to the business as key business function. Provides thought leadership to support the key technology initiatives. Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. Basic Qualifications Master's degree and at least 6 years of experience in a quantitative or computational function. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives. Previous experience contributing to financial decisions in the workplace. Previous direct leadership, indirect leadership and/or cross- functional team leadership. If this is the role for you, apply today
Senior Data Scientist London - 4 Days on-site 65,000 - 110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a startup environment or leading Tech company. Demonstrable proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment. The Role: Leverage data science for business impact. Apply machine learning and statistical techniques. Collaborate with nontechnical experts for solutions. Present complex data to diverse stakeholders. 4 Days onsite, 1 day WFH The Person: 2+ years AI model building in Python. Proficient as a Data Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise Technical Recruitment This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.
19/04/2025
Full time
Senior Data Scientist London - 4 Days on-site 65,000 - 110,000 DOE + Generous Equity + Unlimited Holiday This is an excellent opportunity for a Senior Data Scientist to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data. This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency. In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders. The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a startup environment or leading Tech company. Demonstrable proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required. This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment. The Role: Leverage data science for business impact. Apply machine learning and statistical techniques. Collaborate with nontechnical experts for solutions. Present complex data to diverse stakeholders. 4 Days onsite, 1 day WFH The Person: 2+ years AI model building in Python. Proficient as a Data Scientist with knowledge of Python AI libraries. Expertise in demand prediction, computer vision, or optimisation (preferred). Familiarity with AWS AI/ML services (SageMaker, Lambda). Reference Number: BBBH(phone number removed) To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Tom McLaughlin at Rise Technical Recruitment This vacancy is being advertised by Rise Technical Recruitment Ltd. The services of Rise Technical Recruitment Ltd are that of an Employment Agency Rise Technical Recruitment Ltd regrets to inform that our client can only accept applications from engineering candidates who have a valid legal permit or right to work in the United Kingdom. Potential candidates who do not have this right or permit, or are pending an application to obtain this right or permit should not apply as your details will not be processed.
Data Analytics Manager (AI-Focused) Location: Hybrid (UK) Salary: Competitive + Equity + Benefits Join a dynamic and rapidly growing team on a mission to revolutioniz=se AI-driven analytics. They harness cutting-edge machine learning and data science to unlock insights that shape the future of Utulties, Telco, Insurance and Fintech. As they scale, we're looking for a Data Analytics Manager who is passionate about AI, data strategy, and leading high-impact teams. The Role We're seeking an exceptional Data Analytics Manager to lead our analytics team, driving AI-powered insights that fuel innovation. You'll collaborate with engineers, data scientists, and product teams to develop intelligent, data-driven solutions. This is an exciting opportunity to shape a forward-thinking analytics function in a high-growth environment. What You'll Do Lead & Scale - Build and mentor a high-performing data analytics team, fostering a culture of curiosity and innovation. AI-Driven Insights - Leverage machine learning and AI to uncover deep insights, driving smarter decision-making. Strategic Impact - Develop data-driven strategies to enhance customer experiences, optimize operations, and fuel growth. Data-Driven Decision Making - Partner with stakeholders across the business to translate data into actionable insights. Tech & Tools - Work with modern analytics tools, cloud platforms, and AI-driven methodologies to deliver scalable solutions. Automation & Efficiency - Design automated reporting and dashboards to streamline data accessibility and impact. What We're Looking For Proven experience in data analytics , business intelligence , or AI-driven analytics , ideally in fintech or a high-growth environment. Strong leadership skills, with a track record of managing and mentoring data teams. Deep expertise in SQL, Python, or R, plus experience with cloud-based data platforms (AWS, GCP, or Azure). Familiarity with AI/ML techniques and their practical applications in analytics. Strong stakeholder management, able to bridge the gap between data, tech, and business strategy. Passion for AI, automation, and staying ahead of emerging data trends. Excited? We'd love to hear from you! Apply now and let's have a confidential conversation!
19/04/2025
Full time
Data Analytics Manager (AI-Focused) Location: Hybrid (UK) Salary: Competitive + Equity + Benefits Join a dynamic and rapidly growing team on a mission to revolutioniz=se AI-driven analytics. They harness cutting-edge machine learning and data science to unlock insights that shape the future of Utulties, Telco, Insurance and Fintech. As they scale, we're looking for a Data Analytics Manager who is passionate about AI, data strategy, and leading high-impact teams. The Role We're seeking an exceptional Data Analytics Manager to lead our analytics team, driving AI-powered insights that fuel innovation. You'll collaborate with engineers, data scientists, and product teams to develop intelligent, data-driven solutions. This is an exciting opportunity to shape a forward-thinking analytics function in a high-growth environment. What You'll Do Lead & Scale - Build and mentor a high-performing data analytics team, fostering a culture of curiosity and innovation. AI-Driven Insights - Leverage machine learning and AI to uncover deep insights, driving smarter decision-making. Strategic Impact - Develop data-driven strategies to enhance customer experiences, optimize operations, and fuel growth. Data-Driven Decision Making - Partner with stakeholders across the business to translate data into actionable insights. Tech & Tools - Work with modern analytics tools, cloud platforms, and AI-driven methodologies to deliver scalable solutions. Automation & Efficiency - Design automated reporting and dashboards to streamline data accessibility and impact. What We're Looking For Proven experience in data analytics , business intelligence , or AI-driven analytics , ideally in fintech or a high-growth environment. Strong leadership skills, with a track record of managing and mentoring data teams. Deep expertise in SQL, Python, or R, plus experience with cloud-based data platforms (AWS, GCP, or Azure). Familiarity with AI/ML techniques and their practical applications in analytics. Strong stakeholder management, able to bridge the gap between data, tech, and business strategy. Passion for AI, automation, and staying ahead of emerging data trends. Excited? We'd love to hear from you! Apply now and let's have a confidential conversation!
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development: Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems: Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI-driven workforce forecasting and scheduling. Developing AI-powered insights for HR leaders to improve talent management. Enhancing employee self-service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security: Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI-related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy-preserving techniques in AI solutions. Collaboration and Cross-Functional Work: Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business-friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & experience required Technical Expertise: - Understanding of transformer architectures, and large-scale language models. - Experience with data engineering, model optimisation, and distributed computing. - Strong programming skills in JavaScript, or Python / other AI-related languages. - Strong SQL and data analytics skills. - Familiarity with cloud platforms (AWS and Azure) for AI deployment. - Knowledge of MLOps principles for scaling AI models. - Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI: - Awareness of AI ethics, bias mitigation, and fairness in models. - Understanding of GDPR and compliance frameworks for AI in HR applications. - Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking: - Strong analytical skills to improve AI model performance. - Ability to develop innovative AI-driven solutions for business challenges. Business Acumen and HR Domain Knowledge: - Understanding of HR, payroll, and workforce management processes would be advantageous. - Ability to translate AI research into commercially viable products. - Experience working with HR datasets and organisational analytics. Collaboration and Communication: - Ability to explain AI concepts to non-technical stakeholders. - Experience working in cross-functional teams. - Strong documentation skills for AI research and best practices. - Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning: - Ability to work in a fast-paced, entrepreneurial setting. - Willingness to experiment with emerging AI technologies. - Commitment to ongoing learning in AI and HR tech. - Strategic and product-focused thinking. - Vision for AI-driven business expansion at Zellis. - Focus on delivering measurable AI value to HR professionals. - Ability to balance long-term AI research with short-term business impact. - Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from of our 3,000+ colleagues, we live and breathe every day: - Unstoppable together. - Always learning. - Make it count. - Think scale. Our people are critical to our ongoing success; we re proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you ll have the chance to stretch and challenge yourself in an environment that s varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you ll receive: - A competitive base salary. - 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. - Private medical insurance. - Life assurance 4x salary. - Enhanced pension scheme with company contributions up to 8.5%. - A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
19/04/2025
Full time
About the role As an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions. You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact. At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development: Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. AI Integration into HR, Workforce Management, and Payroll Systems: Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. Automating repetitive HR tasks like payroll processing and compliance checks. Implementing AI-driven workforce forecasting and scheduling. Developing AI-powered insights for HR leaders to improve talent management. Enhancing employee self-service with AI bots, assistants, and workspaces. AI Ethics, Privacy, and Security: Designing AI systems that are safe, unbiased, and compliant with GDPR. Working with Legal teams to assess and mitigate AI-related risks. Ensuring AI models do not reinforce biases in HR processes. Implementing privacy-preserving techniques in AI solutions. Collaboration and Cross-Functional Work: Working with Product Managers, Engineers, and business stakeholders to define AI goals. Communicating AI concepts in a business-friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI models before full-scale deployment. Skills & experience required Technical Expertise: - Understanding of transformer architectures, and large-scale language models. - Experience with data engineering, model optimisation, and distributed computing. - Strong programming skills in JavaScript, or Python / other AI-related languages. - Strong SQL and data analytics skills. - Familiarity with cloud platforms (AWS and Azure) for AI deployment. - Knowledge of MLOps principles for scaling AI models. - Understanding of knowledge graphs, semantic search, and vector databases. AI Ethics and Responsible AI: - Awareness of AI ethics, bias mitigation, and fairness in models. - Understanding of GDPR and compliance frameworks for AI in HR applications. - Ability to design fair and interpretable AI systems. Problem Solving and Critical Thinking: - Strong analytical skills to improve AI model performance. - Ability to develop innovative AI-driven solutions for business challenges. Business Acumen and HR Domain Knowledge: - Understanding of HR, payroll, and workforce management processes would be advantageous. - Ability to translate AI research into commercially viable products. - Experience working with HR datasets and organisational analytics. Collaboration and Communication: - Ability to explain AI concepts to non-technical stakeholders. - Experience working in cross-functional teams. - Strong documentation skills for AI research and best practices. - Enthusiasm for mentoring and knowledge sharing. Adaptability and Continuous Learning: - Ability to work in a fast-paced, entrepreneurial setting. - Willingness to experiment with emerging AI technologies. - Commitment to ongoing learning in AI and HR tech. - Strategic and product-focused thinking. - Vision for AI-driven business expansion at Zellis. - Focus on delivering measurable AI value to HR professionals. - Ability to balance long-term AI research with short-term business impact. - Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills. Benefits & culture At Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from of our 3,000+ colleagues, we live and breathe every day: - Unstoppable together. - Always learning. - Make it count. - Think scale. Our people are critical to our ongoing success; we re proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you ll have the chance to stretch and challenge yourself in an environment that s varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you ll receive: - A competitive base salary. - 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday. - Private medical insurance. - Life assurance 4x salary. - Enhanced pension scheme with company contributions up to 8.5%. - A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure.
Senior Software Engineer (C++) - Specialising in Statistics & Machine Learning Permanent, Hybrid Working arrangement Location: Test Valley Salary: Negotiable based on experience The client is looking for hire for a Senior Software Engineer to join their Software Engineering teams to enhance their statistical, timeseries, and machine learning capabilities of their WPS software product. Your work will involve researching new data science approaches, developing scalable C++ models, and collaborating with teams to solve complex business challenges. Key Responsibilities: - Research and implement advanced mathematical/statistical algorithms in C++. - Support the product team with numerical/statistical queries. - Collaborate with data scientists, technical authors, and various teams. - Develop robust, scalable models for user-friendly deployment. Required Skills: - 4+ years of experience in C++ for enterprise applications. - Strong background in mathematics, statistics, or similar field. - Familiarity with machine learning, timeseries, and econometrics. - Logical problem-solving and strong communication skills. - 6+ years of experience, cross-platform development, and proficiency in Matlab/R/Python/SAS. This will be an opportunity to join a leading data science organisation expanding into a multitude of industries/clients.
18/04/2025
Full time
Senior Software Engineer (C++) - Specialising in Statistics & Machine Learning Permanent, Hybrid Working arrangement Location: Test Valley Salary: Negotiable based on experience The client is looking for hire for a Senior Software Engineer to join their Software Engineering teams to enhance their statistical, timeseries, and machine learning capabilities of their WPS software product. Your work will involve researching new data science approaches, developing scalable C++ models, and collaborating with teams to solve complex business challenges. Key Responsibilities: - Research and implement advanced mathematical/statistical algorithms in C++. - Support the product team with numerical/statistical queries. - Collaborate with data scientists, technical authors, and various teams. - Develop robust, scalable models for user-friendly deployment. Required Skills: - 4+ years of experience in C++ for enterprise applications. - Strong background in mathematics, statistics, or similar field. - Familiarity with machine learning, timeseries, and econometrics. - Logical problem-solving and strong communication skills. - 6+ years of experience, cross-platform development, and proficiency in Matlab/R/Python/SAS. This will be an opportunity to join a leading data science organisation expanding into a multitude of industries/clients.
Data Scientist Salary Circa £45,000 - £60,000 Location London (Hybrid) Permanent Full time / Part time Closing Date: April 28th 2025 We currently have an opportunity for a Data Scientist to join our team. This role is open to flexible working, with 21 hours per week a minimum. The ASA is the UK s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million ads each month, allowing us to respond rapidly and effectively to important issues. We are seeking someone with prior professional experience working with complex datasets to join this team. Reporting to the Head of Data Science, in this role you will work with the ads captured by the ASA s Active Ad Monitoring system. You will work with images, videos and especially the text of ads from social media, search and web display. You will collaborate with experts across a range of advertising sectors to understand their needs. You will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the rules. You will take end-to-end ownership of projects and will directly see how your work protects people in the UK from harmful and misleading content. Current projects within the team focus on diverse topics such as ensuring influencer marketing on social media follows advertising rules; monitoring the green claims companies make to consumers; and making sure ads for weight loss medications are responsible. You will report directly to the Head of Data Science, working alongside other Data Scientists and Data Engineers. As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts and machine learning. You must be comfortable communicating complex ideas to non-technical people, and you must believe in our mission as a regulator. Candidates should either have prior data science experience, or have done similar work in another setting e.g. academic research in a data-intensive field or as an analyst working with Python. Please note we do not have a sponsorship licence and are unable to sponsor visas. We think the ASA is a great place to work. We have a culture that s open, friendly and collaborative, with a real focus on making the right decisions in the right way, and learning while we re doing it. We re always looking to improve diversity within our teams, and we d love to hear from people from diverse backgrounds for this role. We encourage applications from candidates who are likely to be underrepresented in this field of work. We operate a hybrid working model and office attendance is required 40% of your contracted hours. How to apply: If you re interested in applying for this role, please review the job description below and complete the online questions telling us how you meet the requirements of the role and how you can contribute to our success. Please note that we'll keep the ad open till we fill the post and will be reviewing applications as they come in. Role: The Data Scientist will deliver analysis and machine learning projects that address real-world challenges faced by the ASA in the regulation of online advertising. Responsibilities With support from the Head of Data Science and time to learn new skills where needed the Data Scientist will: Take end-to-end ownership of data science projects Communicate with stakeholders to understand the challenges they face daily when regulating advertising, translating these into technical solutions Work with a range of unstructured data such as text, images and videos from a variety of sources Apply statistical and machine learning techniques to these datasets including LLM-based tools Deliver insights that inform the focus and approach taken when teams deliver regulation in specific areas Deploy models into production to support ongoing monitoring of compliance and proactive identification of potentially problematic content We are looking for candidates who have: Prior relevant experience Experience working with complex datasets either as a Data Scientist, or another relevant role e.g. in academic research or an analyst role. Programming Skills Experience writing code to manipulate data and apply statistical or machine learning techniques in Python Statistics/Machine Learning Experience applying at least a couple of statistical and/or machine learning techniques and an understanding of how those techniques work behind the scenes Communication The ability to communicate technical solutions to non-technical stakeholders, explaining the value of your work The ideal candidate also has the following personal attributes: Interest in our mission - A desire to make a positive contribution to the regulation of advertising in the UK Creative problem solver - Able to think about a complex problem from multiple perspectives, identifying potential solutions Takes ownership - Willing to take responsibility for delivering a project end-to-end Critical thinking - Able to reflect on their work, spotting mistakes and weaknesses and correcting them where practical Team worker - Wants to collaborate with a team of individuals with mixed expertise and backgrounds, making a positive contribution to team culture Please note we do not have a sponsorship licence and are unable to sponsor visas.
17/04/2025
Full time
Data Scientist Salary Circa £45,000 - £60,000 Location London (Hybrid) Permanent Full time / Part time Closing Date: April 28th 2025 We currently have an opportunity for a Data Scientist to join our team. This role is open to flexible working, with 21 hours per week a minimum. The ASA is the UK s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million ads each month, allowing us to respond rapidly and effectively to important issues. We are seeking someone with prior professional experience working with complex datasets to join this team. Reporting to the Head of Data Science, in this role you will work with the ads captured by the ASA s Active Ad Monitoring system. You will work with images, videos and especially the text of ads from social media, search and web display. You will collaborate with experts across a range of advertising sectors to understand their needs. You will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the rules. You will take end-to-end ownership of projects and will directly see how your work protects people in the UK from harmful and misleading content. Current projects within the team focus on diverse topics such as ensuring influencer marketing on social media follows advertising rules; monitoring the green claims companies make to consumers; and making sure ads for weight loss medications are responsible. You will report directly to the Head of Data Science, working alongside other Data Scientists and Data Engineers. As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts and machine learning. You must be comfortable communicating complex ideas to non-technical people, and you must believe in our mission as a regulator. Candidates should either have prior data science experience, or have done similar work in another setting e.g. academic research in a data-intensive field or as an analyst working with Python. Please note we do not have a sponsorship licence and are unable to sponsor visas. We think the ASA is a great place to work. We have a culture that s open, friendly and collaborative, with a real focus on making the right decisions in the right way, and learning while we re doing it. We re always looking to improve diversity within our teams, and we d love to hear from people from diverse backgrounds for this role. We encourage applications from candidates who are likely to be underrepresented in this field of work. We operate a hybrid working model and office attendance is required 40% of your contracted hours. How to apply: If you re interested in applying for this role, please review the job description below and complete the online questions telling us how you meet the requirements of the role and how you can contribute to our success. Please note that we'll keep the ad open till we fill the post and will be reviewing applications as they come in. Role: The Data Scientist will deliver analysis and machine learning projects that address real-world challenges faced by the ASA in the regulation of online advertising. Responsibilities With support from the Head of Data Science and time to learn new skills where needed the Data Scientist will: Take end-to-end ownership of data science projects Communicate with stakeholders to understand the challenges they face daily when regulating advertising, translating these into technical solutions Work with a range of unstructured data such as text, images and videos from a variety of sources Apply statistical and machine learning techniques to these datasets including LLM-based tools Deliver insights that inform the focus and approach taken when teams deliver regulation in specific areas Deploy models into production to support ongoing monitoring of compliance and proactive identification of potentially problematic content We are looking for candidates who have: Prior relevant experience Experience working with complex datasets either as a Data Scientist, or another relevant role e.g. in academic research or an analyst role. Programming Skills Experience writing code to manipulate data and apply statistical or machine learning techniques in Python Statistics/Machine Learning Experience applying at least a couple of statistical and/or machine learning techniques and an understanding of how those techniques work behind the scenes Communication The ability to communicate technical solutions to non-technical stakeholders, explaining the value of your work The ideal candidate also has the following personal attributes: Interest in our mission - A desire to make a positive contribution to the regulation of advertising in the UK Creative problem solver - Able to think about a complex problem from multiple perspectives, identifying potential solutions Takes ownership - Willing to take responsibility for delivering a project end-to-end Critical thinking - Able to reflect on their work, spotting mistakes and weaknesses and correcting them where practical Team worker - Wants to collaborate with a team of individuals with mixed expertise and backgrounds, making a positive contribution to team culture Please note we do not have a sponsorship licence and are unable to sponsor visas.
Gen AI Specialist Location: Canary Wharf, London (3 days onsite) Contract Length: 10 months Daily Rate: 800 - 850 (inside IR35 via umbrella) Are you a seasoned Data Scientist with a passion for Generative AI? Our client is seeking a Gen AI Specialist to join their dynamic Technology team in Canary Wharf. This role offers an exciting opportunity to work on innovative solutions that address complex financial data challenges, particularly in credit risk management. Key Responsibilities: Lead the development and coordination of analytical plans, ensuring alignment with various teams. Manage deliverables in an agile environment while maintaining clear and effective communication with stakeholders. Present analytical findings, updates, and challenges to diverse audiences including business units, technology management, and risk review teams. Execute data modelling and cleaning processes utilising both internal and external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process. Implement features throughout the ML lifecycle-Development, Testing, Training, Production, and Monitoring-to ensure the scalability and reliability of solutions. Qualifications: PhD or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in programming languages such as Python, SQL, Spark, PySpark, TensorFlow, or equivalent analytical/model-building tools. Familiarity with tools and technologies related to LLMs. Ability to work independently while also thriving in a collaborative team environment. Experience with GenAI/LLMs projects. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial services, including banking or risk management. Knowledge of capital markets and financial instruments, along with modelling expertise. If you are a forward-thinking individual with an adaptive mindset ready to tackle complex business problems, we want to hear from you! Join our client's innovative team and contribute to the future of financial data analysis. To Apply: Please submit your CV and a cover letter detailing your relevant experience and interest in the role. Our client is an equal opportunity employer and welcomes applicants from diverse backgrounds. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
17/04/2025
Contractor
Gen AI Specialist Location: Canary Wharf, London (3 days onsite) Contract Length: 10 months Daily Rate: 800 - 850 (inside IR35 via umbrella) Are you a seasoned Data Scientist with a passion for Generative AI? Our client is seeking a Gen AI Specialist to join their dynamic Technology team in Canary Wharf. This role offers an exciting opportunity to work on innovative solutions that address complex financial data challenges, particularly in credit risk management. Key Responsibilities: Lead the development and coordination of analytical plans, ensuring alignment with various teams. Manage deliverables in an agile environment while maintaining clear and effective communication with stakeholders. Present analytical findings, updates, and challenges to diverse audiences including business units, technology management, and risk review teams. Execute data modelling and cleaning processes utilising both internal and external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process. Implement features throughout the ML lifecycle-Development, Testing, Training, Production, and Monitoring-to ensure the scalability and reliability of solutions. Qualifications: PhD or master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum of 5 years of industry experience as a data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in programming languages such as Python, SQL, Spark, PySpark, TensorFlow, or equivalent analytical/model-building tools. Familiarity with tools and technologies related to LLMs. Ability to work independently while also thriving in a collaborative team environment. Experience with GenAI/LLMs projects. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial services, including banking or risk management. Knowledge of capital markets and financial instruments, along with modelling expertise. If you are a forward-thinking individual with an adaptive mindset ready to tackle complex business problems, we want to hear from you! Join our client's innovative team and contribute to the future of financial data analysis. To Apply: Please submit your CV and a cover letter detailing your relevant experience and interest in the role. Our client is an equal opportunity employer and welcomes applicants from diverse backgrounds. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Source Solutions are proud to be working with a successful and continually growing global manufacturer within the electronics space, who operate cutting edge technology within a continuous improvement culture, in identifying an experienced Data Scientist, to play a key role in the company's push further towards data-driven decisions. The Data Scientist is a key position whose immediate work will have a significant impact on stock and forecasting decisions that will lead to streamlining of production and provide real business and operational value, working on a continual improvement basis. Further on from this, there are many other areas of the business where data is waiting to be explored and utilised in order to gain further benefits and so this position will grow and develop, with the Data Scientist playing a key role identifying potential projects. As Data Scientist, you will be instrumental in the company embracing data-driven decision making and will lead the design, build and refinement of forecasting models, including time series and machine learning, implementing what-if scenarios for capacity planning and demand variability. Core areas of responsibility; Forecasting model development Data management Model selection and validation Model deployment and maintenance Data Scientist Candidate Requirements: Post study experience as Data Scientist or similar Proficiency in data analysis and machine learning. Some form of experience in demand/forecast modelling Strong experience with AWS or similar (ideally experience with SageMaker) Familiarity with scenario-based modelling On offer in return is an exciting role that will develop and make a real impact, with a forward-thinking company on the cutting edge, who constantly strive toward improvement and excellence in an environment that promotes development of staff. Apply now
17/04/2025
Full time
Source Solutions are proud to be working with a successful and continually growing global manufacturer within the electronics space, who operate cutting edge technology within a continuous improvement culture, in identifying an experienced Data Scientist, to play a key role in the company's push further towards data-driven decisions. The Data Scientist is a key position whose immediate work will have a significant impact on stock and forecasting decisions that will lead to streamlining of production and provide real business and operational value, working on a continual improvement basis. Further on from this, there are many other areas of the business where data is waiting to be explored and utilised in order to gain further benefits and so this position will grow and develop, with the Data Scientist playing a key role identifying potential projects. As Data Scientist, you will be instrumental in the company embracing data-driven decision making and will lead the design, build and refinement of forecasting models, including time series and machine learning, implementing what-if scenarios for capacity planning and demand variability. Core areas of responsibility; Forecasting model development Data management Model selection and validation Model deployment and maintenance Data Scientist Candidate Requirements: Post study experience as Data Scientist or similar Proficiency in data analysis and machine learning. Some form of experience in demand/forecast modelling Strong experience with AWS or similar (ideally experience with SageMaker) Familiarity with scenario-based modelling On offer in return is an exciting role that will develop and make a real impact, with a forward-thinking company on the cutting edge, who constantly strive toward improvement and excellence in an environment that promotes development of staff. Apply now
Fullstack Developer (Python) 6 Months Hybrid - London 3-4 days per week in Hertforshire or Surrey (Apply online only) per day (Inside IR35) My client, in the construction industry are looking for an experienced Full Stack Engineer to support their AI and Data Science projects for an initial six-month contract. In this role, you will play a crucial part in transforming innovative ideas into Minimum Viable Products (MVPs) that leverage Azure's technology stack. The ideal candidate will have good experience in web application development, preferably using Python, user interface design, automated testing, and building secure APIs. On the job details- Work closely with the Head of AI, AI product and project managers, and business/technology stakeholders, to gather requirements and translate those to development tasks. Plan product versions and releases. Assist in the development of suitable and applicable processes for release management activities Acquisition & Deployment Web Application Development: Design, develop, and maintain controlled, robust and scalable Python-based web applications using Azure technologies, ensuring high performance and responsiveness. User Interface Development: Collaborate with data scientists to design and create intuitive and user-friendly interfaces that enhance user experience and engagement - developing in a consistent and transparent manner, enhancing and retrofitting the development process for in flight projects. User Interface Development: Collaborate with data scientists to create intuitive and user-friendly interfaces that enhance user experience and engagement - developing in a consistent and transparent manner, enhancing and retrofitting emerging development processes for in-flight projects Operational Management Ensure that all development tasks are logged and documented in a systematic and agreed manner on platforms such as Azure DevOps board, Microsoft Loop, SharePoint, ITSM tooling etc. Ensure ongoing reliable knowledge capture through suitable documentation to support ongoing service operations and collaboration Lead and participate in daily standups and weekly development planning meetings. Experience required for the role- Experience working in a full-stack development role, practicing professional software development standards Experience building APIs and web applications. Some experience in front-end technologies (HTML, CSS, JavaScript, frameworks such as React, or Angular). Strongexperience in back-end development with technologies like Node.js, .NET, Python, etc. Proven experience as a Full Stack Developer or similar role, with a strong portfolio of web applications deployed on cloud, preferably Azure. Experience with Scrum and Kanban software development process. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
17/04/2025
Contractor
Fullstack Developer (Python) 6 Months Hybrid - London 3-4 days per week in Hertforshire or Surrey (Apply online only) per day (Inside IR35) My client, in the construction industry are looking for an experienced Full Stack Engineer to support their AI and Data Science projects for an initial six-month contract. In this role, you will play a crucial part in transforming innovative ideas into Minimum Viable Products (MVPs) that leverage Azure's technology stack. The ideal candidate will have good experience in web application development, preferably using Python, user interface design, automated testing, and building secure APIs. On the job details- Work closely with the Head of AI, AI product and project managers, and business/technology stakeholders, to gather requirements and translate those to development tasks. Plan product versions and releases. Assist in the development of suitable and applicable processes for release management activities Acquisition & Deployment Web Application Development: Design, develop, and maintain controlled, robust and scalable Python-based web applications using Azure technologies, ensuring high performance and responsiveness. User Interface Development: Collaborate with data scientists to design and create intuitive and user-friendly interfaces that enhance user experience and engagement - developing in a consistent and transparent manner, enhancing and retrofitting the development process for in flight projects. User Interface Development: Collaborate with data scientists to create intuitive and user-friendly interfaces that enhance user experience and engagement - developing in a consistent and transparent manner, enhancing and retrofitting emerging development processes for in-flight projects Operational Management Ensure that all development tasks are logged and documented in a systematic and agreed manner on platforms such as Azure DevOps board, Microsoft Loop, SharePoint, ITSM tooling etc. Ensure ongoing reliable knowledge capture through suitable documentation to support ongoing service operations and collaboration Lead and participate in daily standups and weekly development planning meetings. Experience required for the role- Experience working in a full-stack development role, practicing professional software development standards Experience building APIs and web applications. Some experience in front-end technologies (HTML, CSS, JavaScript, frameworks such as React, or Angular). Strongexperience in back-end development with technologies like Node.js, .NET, Python, etc. Proven experience as a Full Stack Developer or similar role, with a strong portfolio of web applications deployed on cloud, preferably Azure. Experience with Scrum and Kanban software development process. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist/Statistician role: RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK s most interesting media measurement projects like Barb, RAJAR, CFlight and TouchPoints. Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. Benefits you will receive as their Data Scientist/Statistician: Pension scheme 25 days holiday per annum (rising to 30 days) Private medical insurance Season ticket loan Group life and permanent health insurance. Key responsibilities as their Data Scientist/Statistician will include: Providing statistical expertise across RSMB s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints. Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight. Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints. Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. What they are looking for in their Data Scientist/Statistician: The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technic Personal Attributes? Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role. If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click apply now They d love to hear from you!
16/04/2025
Full time
RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist/Statistician role: RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK s most interesting media measurement projects like Barb, RAJAR, CFlight and TouchPoints. Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. Benefits you will receive as their Data Scientist/Statistician: Pension scheme 25 days holiday per annum (rising to 30 days) Private medical insurance Season ticket loan Group life and permanent health insurance. Key responsibilities as their Data Scientist/Statistician will include: Providing statistical expertise across RSMB s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints. Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight. Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints. Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. What they are looking for in their Data Scientist/Statistician: The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technic Personal Attributes? Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role. If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click apply now They d love to hear from you!
Alexander Mann Solutions - Public Sector Resourcing
On behalf of The Ministry of Justice we are looking for a Lead Data Engineer (Inside IR35) for a 6 month contract. Hybrid working based in London. The Ministry of Justice (MoJ) priorities include improving public safety and reducing reoffending by reforming prisons, probation and youth justice, and building a justice system which makes access to justice swifter and more certain for all citizens whatever their background. Project professionals in the MoJ help to improve the government's ability to protect the public and reduce reoffending, and to provide a more effective, transparent and responsive criminal justice system for victims and the public. MoJ's Data Modelling and Engineering Team is made up of Data Engineers and Analytics Engineers: our Data Engineers build and maintain pipelines to extract from operational systems and load data to our Analytical Platform and our Analytics Engineers model this data using dimensional modelling principles to provide useful and usable data to downstream users, including analysts, performance teams and data scientists. Over time, this supports migration towards robust, automated and maintainable downstream processes which deliver trusted analysis. Historically the legal aid data landscape is complex and there is a current ambition across MoJ and LAA to modernise and stabilise in this area. MoJ Data and Analytics Engineering is a key part of this, and we intend to deliver modelled legal aid data to the Analytical Platform to enable seamless data access for analysis, resulting in trusted data products and confident data-driven decision making to promote access to justice. We are looking for an experienced, collaborative Lead Data Engineer to join the team to oversee and enable work with upstream teams to bring legal aid data onto the Analytical Platform, to lead on build of a new data layer, and to collaborate closely with Analytics Engineering colleagues to support the build of a flexible data model. Essential: . An active SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks. (Please note, due to the exceptional requirements of this position (short-term nature of this role and speed at which we require a postholder in situ) preference may be given to candidates who meet all of the essential criteria and hold active security clearance.) . Excellent python, SQL and jinja skills. . Experience with cloud platforms, ideally AWS. . Experience of orchestrations tools, ideally airflow. . Experience of leading, enabling and supporting a team of data engineers, guiding them to apply best practices. . Experience of building CI/CD workflows, ideally with GitHub Actions. . Experience of ensuring practices are up to date with latest developments in data engineering. . Experience of reviewing, designing and developing data pipelines. . Experience of engaging and maintaining relationships with business stakeholders and cross-functional teams. . Experience of infrastructure as code, ideally Terraform. Please be aware that this role can only be worked within the UK and not Overseas. Disability Confident As a member of the Disability Confident Scheme, MOJ guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".
16/04/2025
Contractor
On behalf of The Ministry of Justice we are looking for a Lead Data Engineer (Inside IR35) for a 6 month contract. Hybrid working based in London. The Ministry of Justice (MoJ) priorities include improving public safety and reducing reoffending by reforming prisons, probation and youth justice, and building a justice system which makes access to justice swifter and more certain for all citizens whatever their background. Project professionals in the MoJ help to improve the government's ability to protect the public and reduce reoffending, and to provide a more effective, transparent and responsive criminal justice system for victims and the public. MoJ's Data Modelling and Engineering Team is made up of Data Engineers and Analytics Engineers: our Data Engineers build and maintain pipelines to extract from operational systems and load data to our Analytical Platform and our Analytics Engineers model this data using dimensional modelling principles to provide useful and usable data to downstream users, including analysts, performance teams and data scientists. Over time, this supports migration towards robust, automated and maintainable downstream processes which deliver trusted analysis. Historically the legal aid data landscape is complex and there is a current ambition across MoJ and LAA to modernise and stabilise in this area. MoJ Data and Analytics Engineering is a key part of this, and we intend to deliver modelled legal aid data to the Analytical Platform to enable seamless data access for analysis, resulting in trusted data products and confident data-driven decision making to promote access to justice. We are looking for an experienced, collaborative Lead Data Engineer to join the team to oversee and enable work with upstream teams to bring legal aid data onto the Analytical Platform, to lead on build of a new data layer, and to collaborate closely with Analytics Engineering colleagues to support the build of a flexible data model. Essential: . An active SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks. (Please note, due to the exceptional requirements of this position (short-term nature of this role and speed at which we require a postholder in situ) preference may be given to candidates who meet all of the essential criteria and hold active security clearance.) . Excellent python, SQL and jinja skills. . Experience with cloud platforms, ideally AWS. . Experience of orchestrations tools, ideally airflow. . Experience of leading, enabling and supporting a team of data engineers, guiding them to apply best practices. . Experience of building CI/CD workflows, ideally with GitHub Actions. . Experience of ensuring practices are up to date with latest developments in data engineering. . Experience of reviewing, designing and developing data pipelines. . Experience of engaging and maintaining relationships with business stakeholders and cross-functional teams. . Experience of infrastructure as code, ideally Terraform. Please be aware that this role can only be worked within the UK and not Overseas. Disability Confident As a member of the Disability Confident Scheme, MOJ guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance. In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".
Data Scientist is required by a global IT company to join their growing data science practice. You will be responsible for: Building data models and machine learning algorithms supporting strategic decision-making across the organisation. Managing and analysing large volumes of data using Azure Databricks. Leveraging Neo4j for graph-based analysis to identify relationships within datasets. Using Azure Data Factory and other Azure tools to create robust ETL processes. Leading statistical analysis and machine learning model development. Delivering insights to stakeholders through dashboards, charts, and structured reports. Requirements. Proven background as a Data Scientist or in a comparable data-focused position. Practical experience with Databricks, Apache Spark, and programming in Python or R. Familiarity with Neo4j or a solid understanding of graph database principles. Proficiency in SQL. Commercial experience of working with LLMs. Azure Cloud.
16/04/2025
Full time
Data Scientist is required by a global IT company to join their growing data science practice. You will be responsible for: Building data models and machine learning algorithms supporting strategic decision-making across the organisation. Managing and analysing large volumes of data using Azure Databricks. Leveraging Neo4j for graph-based analysis to identify relationships within datasets. Using Azure Data Factory and other Azure tools to create robust ETL processes. Leading statistical analysis and machine learning model development. Delivering insights to stakeholders through dashboards, charts, and structured reports. Requirements. Proven background as a Data Scientist or in a comparable data-focused position. Practical experience with Databricks, Apache Spark, and programming in Python or R. Familiarity with Neo4j or a solid understanding of graph database principles. Proficiency in SQL. Commercial experience of working with LLMs. Azure Cloud.
RBU Sales UK Ltd t/a iRecruit UK
Watford, Hertfordshire
Full Stack Developer Location: Either Astral House, Watford WD24 4WW or Albion House, Horsham RH12 2RW Working Hours: 40 hrs per week (Mon - Fri) 9am Start Time Pay Rate: £400 - £500 per day Vinci Construction is seeking an experienced Full Stack Engineer to support our AI and Data Science projects for an initial six-month contract Responsibilities: Work closely with the Head of AI, AI product and project managers, and business/technology stakeholders, to gather requirements and translate those to development tasks. Plan product versions and releases. Assist in the development of suitable and applicable processes for release management activities Design, develop, and maintain controlled, robust and scalable Python-based web applications using Azure technologies, ensuring high performance and responsiveness. Collaborate with data scientists to design and create intuitive and user-friendly interfaces that enhance user experience and engagement developing in a consistent and transparent manner, enhancing and retrofitting the development process for in flight projects. Collaborate with data scientists to create intuitive and user-friendly interfaces that enhance user experience and engagement developing in a consistent and transparent manner, enhancing and retrofitting emerging development processes for in-flight projects Ensure that all development tasks are logged and documented in a systematic and agreed manner on platforms such as Azure DevOps board, Microsoft Loop, SharePoint, ITSM tooling etc. Ensure ongoing reliable knowledge capture through suitable documentation to support ongoing service operations and collaboration Lead and participate in daily standups and weekly development planning meetings. Experience: No fewer than 2 years working in a full-stack development role, practicing professional software development standards No fewer than 3 years of experience building APIs and web applications. Some experience in front-end technologies (HTML, CSS, JavaScript, frameworks such as React, or Angular). No fewer than 3 years of experience in back-end development with technologies like Node.js, .NET, Python, etc. No fewer than 5 years of professional experience. Proven experience as a Full Stack Developer or similar role, with a strong portfolio of web applications deployed on cloud, preferably Azure. Experience with Scrum and Kanban software development process.
15/04/2025
Seasonal
Full Stack Developer Location: Either Astral House, Watford WD24 4WW or Albion House, Horsham RH12 2RW Working Hours: 40 hrs per week (Mon - Fri) 9am Start Time Pay Rate: £400 - £500 per day Vinci Construction is seeking an experienced Full Stack Engineer to support our AI and Data Science projects for an initial six-month contract Responsibilities: Work closely with the Head of AI, AI product and project managers, and business/technology stakeholders, to gather requirements and translate those to development tasks. Plan product versions and releases. Assist in the development of suitable and applicable processes for release management activities Design, develop, and maintain controlled, robust and scalable Python-based web applications using Azure technologies, ensuring high performance and responsiveness. Collaborate with data scientists to design and create intuitive and user-friendly interfaces that enhance user experience and engagement developing in a consistent and transparent manner, enhancing and retrofitting the development process for in flight projects. Collaborate with data scientists to create intuitive and user-friendly interfaces that enhance user experience and engagement developing in a consistent and transparent manner, enhancing and retrofitting emerging development processes for in-flight projects Ensure that all development tasks are logged and documented in a systematic and agreed manner on platforms such as Azure DevOps board, Microsoft Loop, SharePoint, ITSM tooling etc. Ensure ongoing reliable knowledge capture through suitable documentation to support ongoing service operations and collaboration Lead and participate in daily standups and weekly development planning meetings. Experience: No fewer than 2 years working in a full-stack development role, practicing professional software development standards No fewer than 3 years of experience building APIs and web applications. Some experience in front-end technologies (HTML, CSS, JavaScript, frameworks such as React, or Angular). No fewer than 3 years of experience in back-end development with technologies like Node.js, .NET, Python, etc. No fewer than 5 years of professional experience. Proven experience as a Full Stack Developer or similar role, with a strong portfolio of web applications deployed on cloud, preferably Azure. Experience with Scrum and Kanban software development process.
Our energy client is seeking a software engineer to join their team in Mayfair, London. We are looking for a Senior Backend Software Engineer with strong data engineering skills to join a small, agile team developing software solutions for our energy supply and trading functions. Hybrid working is in play, with 3 days in the office and 2 days at home. Software Engineer - About the role: My client s energy business is growing rapidly with a strong focus on using advanced data systems and analytics to deliver exceptional service. We are looking for someone to take ownership of the backend architecture that underpins our analytics applications, user tools, and automated trading workflows. You will collaborate closely with analysts, data scientists, and business stakeholders to translate requirements into robust, scalable backend solutions. You ll be responsible for designing and developing services, APIs, data pipelines, and internal applications that integrate analytics and enable better decision-making and operational efficiency. This is a hands-on role for someone who thrives in a fast-paced, build-first culture without multiple tiers of management. You should be excited to take full ownership of backend development, lead on best practices, and coach others in a collaborative, delivery-focused team. Experience in retail or wholesale electricity and gas markets is helpful, but a willingness to become an expert in this field is essential. Our success is based on understanding the subject matter from first principles. Software Engineer - Key Responsibilities: Architect, design, develop and maintain backend systems for analytics-driven applications, user tools, and automation workflows. Build and manage APIs and internal services using Python (FastAPI, Flask) and cloud-native tooling. Develop and manage data pipelines, backend components, and supporting infrastructure. Manage server resources and backend processing environments to ensure reliability and scalability. Monitor and maintain application performance, availability, and data quality across production systems. Implement and maintain CI/CD pipelines, testing frameworks, and DevOps practices to enable robust delivery. Write, test, and document code in line with quality standards and engineering best practices. Collaborate with operations, analytics and commercial teams to gather requirements and translate them into scalable technical solutions. Support analysts and data scientists in deploying and operationalising analytics tools and models. Lead or support the data engineering team, help structure development workflows, and mentor junior team members. Software Engineer - Skills Required: Python (FastAPI, Flask) (or another asynchronous language/framework) REST API development RabbitMQ / Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions, Storage, Compute) Monitoring tools (Grafana, Prometheus, etc.) Mentoring and knowledge sharing within the team Senior Engineer - Desirable Skills: Experience in energy supply or trading Familiarity with dbt or modular analytics tooling Exposure to forecasting or optimisation workflows Knowledge of React or frontend tools for internal apps What they offer: A high-autonomy role in a flat, delivery-focused team Ownership of backend systems for real-time analytics and automation A fast-moving, hands-on culture with meaningful technical challenges The opportunity to apply software and data engineering to real-world energy problems
15/04/2025
Full time
Our energy client is seeking a software engineer to join their team in Mayfair, London. We are looking for a Senior Backend Software Engineer with strong data engineering skills to join a small, agile team developing software solutions for our energy supply and trading functions. Hybrid working is in play, with 3 days in the office and 2 days at home. Software Engineer - About the role: My client s energy business is growing rapidly with a strong focus on using advanced data systems and analytics to deliver exceptional service. We are looking for someone to take ownership of the backend architecture that underpins our analytics applications, user tools, and automated trading workflows. You will collaborate closely with analysts, data scientists, and business stakeholders to translate requirements into robust, scalable backend solutions. You ll be responsible for designing and developing services, APIs, data pipelines, and internal applications that integrate analytics and enable better decision-making and operational efficiency. This is a hands-on role for someone who thrives in a fast-paced, build-first culture without multiple tiers of management. You should be excited to take full ownership of backend development, lead on best practices, and coach others in a collaborative, delivery-focused team. Experience in retail or wholesale electricity and gas markets is helpful, but a willingness to become an expert in this field is essential. Our success is based on understanding the subject matter from first principles. Software Engineer - Key Responsibilities: Architect, design, develop and maintain backend systems for analytics-driven applications, user tools, and automation workflows. Build and manage APIs and internal services using Python (FastAPI, Flask) and cloud-native tooling. Develop and manage data pipelines, backend components, and supporting infrastructure. Manage server resources and backend processing environments to ensure reliability and scalability. Monitor and maintain application performance, availability, and data quality across production systems. Implement and maintain CI/CD pipelines, testing frameworks, and DevOps practices to enable robust delivery. Write, test, and document code in line with quality standards and engineering best practices. Collaborate with operations, analytics and commercial teams to gather requirements and translate them into scalable technical solutions. Support analysts and data scientists in deploying and operationalising analytics tools and models. Lead or support the data engineering team, help structure development workflows, and mentor junior team members. Software Engineer - Skills Required: Python (FastAPI, Flask) (or another asynchronous language/framework) REST API development RabbitMQ / Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure (Functions, Storage, Compute) Monitoring tools (Grafana, Prometheus, etc.) Mentoring and knowledge sharing within the team Senior Engineer - Desirable Skills: Experience in energy supply or trading Familiarity with dbt or modular analytics tooling Exposure to forecasting or optimisation workflows Knowledge of React or frontend tools for internal apps What they offer: A high-autonomy role in a flat, delivery-focused team Ownership of backend systems for real-time analytics and automation A fast-moving, hands-on culture with meaningful technical challenges The opportunity to apply software and data engineering to real-world energy problems
Investment Banking - Senior C++ Developer - Glasgow - C++, Python, SDLC, Linux The candidate will be working with a UK based team of passionate programming-language subject matter experts, as well as developers, data scientists and technical leads across the entire firm. They will be responsible for helping to maintain an extensive library of C++ plug-ins for kdb users that as well as engineering internal tools and libraries where necessary. We are looking for a candidate who is keen to work with new languages. This is primarily a C++ role but openness to learn and work with KDB+/q and python will be required. Prior knowledge of KDB not necessary. Skills required: Core C++ development Python development Familiarity with the enterprise Software Development Lifecycle (SDLC) Familiarity with Linux Good communication/organisation skills Skills desired: Prior experience with OCI containerisation tools/platforms (such as Docker, Kubernetes) Prior kdb+/q experience (or willingness to learn on the job) High-level understanding of Windows development By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
15/04/2025
Contractor
Investment Banking - Senior C++ Developer - Glasgow - C++, Python, SDLC, Linux The candidate will be working with a UK based team of passionate programming-language subject matter experts, as well as developers, data scientists and technical leads across the entire firm. They will be responsible for helping to maintain an extensive library of C++ plug-ins for kdb users that as well as engineering internal tools and libraries where necessary. We are looking for a candidate who is keen to work with new languages. This is primarily a C++ role but openness to learn and work with KDB+/q and python will be required. Prior knowledge of KDB not necessary. Skills required: Core C++ development Python development Familiarity with the enterprise Software Development Lifecycle (SDLC) Familiarity with Linux Good communication/organisation skills Skills desired: Prior experience with OCI containerisation tools/platforms (such as Docker, Kubernetes) Prior kdb+/q experience (or willingness to learn on the job) High-level understanding of Windows development By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Data Scientist - Contract Hybrid - Nath (1 day a week on-site) £400-£450 per day Deemed Outside IR35 (pending QDOS assessment) This Contract Data Science role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple's impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies. You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment. K ey skills for this role include: Good knowledge of Python programming Experience in cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would see you work in their South West office c.1 - 2 days per week ideally. It is available immediately for an urgent start. Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
15/04/2025
Contractor
Data Scientist - Contract Hybrid - Nath (1 day a week on-site) £400-£450 per day Deemed Outside IR35 (pending QDOS assessment) This Contract Data Science role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple's impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies. You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment. K ey skills for this role include: Good knowledge of Python programming Experience in cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would see you work in their South West office c.1 - 2 days per week ideally. It is available immediately for an urgent start. Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Lead ML Engineer London - Hybrid (1 day per week in office) 80,000 - 100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world. The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you'll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews. The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members and support their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. The Person: Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes Expertise in Linux/Windows VM administration. Reference Number: BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Ryan McIntyre at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates
14/04/2025
Full time
Lead ML Engineer London - Hybrid (1 day per week in office) 80,000 - 100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world. The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You'll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you'll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews. The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members and support their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. The Person: Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes Expertise in Linux/Windows VM administration. Reference Number: BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Ryan McIntyre at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates
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