Job Specification: Data Scientist Job Title: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
18/04/2024
Full time
Job Specification: Data Scientist Job Title: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
17/04/2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
17/04/2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Data Scientist 6 months contract + Based in Geneva, Switzerland Our client, a global manufacturing expert, is looking for a Data Scientist to join their CoE and AI team whose mission is to deliver qualitative sales and marketing leads through our digital application to their customers. The role will be remote-working Our clients AI team are seeking a Data Scientist to solve challenging and high-impact business problems for digital initiatives. The team's mission is to understand our customers and to provide best solutions to their needs via digital capability, particularly analytics. The analytics capability plays a critical role for enabling many enterprise services and solutions. This role will require a skill set in advanced statistical modelling and machine learning techniques as well as domain knowledge of industrial equipment. The Data Scientist will participate on cross-functional project teams in order to solve a problem presented by a Business Unit or Service Organization or customer The key role of this first-level data scientist position ranges from learning and assisting others to learning to contribute independently. The Data Scientist is expected to become familiar with the company's processes, products, and organization. The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models. The Data Scientist demonstrates the ability to handle basic issues independently. They also demonstrate good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field Typically requires a Bachelor's degree in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework Must be comfortable working in industry standard statistics, analytics, and data visualization packages. Must be proficient in Python programming language and its analytics package Must demonstrate initiative, interpersonal skills, and the ability to communicate effectively. Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field 2+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges Experience with cloud technologies (AWS, Azure, Google Cloud, etc) Good communication, interpersonal, and collaboration skills 3+ years of industry experience
17/04/2024
Project-based
Data Scientist 6 months contract + Based in Geneva, Switzerland Our client, a global manufacturing expert, is looking for a Data Scientist to join their CoE and AI team whose mission is to deliver qualitative sales and marketing leads through our digital application to their customers. The role will be remote-working Our clients AI team are seeking a Data Scientist to solve challenging and high-impact business problems for digital initiatives. The team's mission is to understand our customers and to provide best solutions to their needs via digital capability, particularly analytics. The analytics capability plays a critical role for enabling many enterprise services and solutions. This role will require a skill set in advanced statistical modelling and machine learning techniques as well as domain knowledge of industrial equipment. The Data Scientist will participate on cross-functional project teams in order to solve a problem presented by a Business Unit or Service Organization or customer The key role of this first-level data scientist position ranges from learning and assisting others to learning to contribute independently. The Data Scientist is expected to become familiar with the company's processes, products, and organization. The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models. The Data Scientist demonstrates the ability to handle basic issues independently. They also demonstrate good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field Typically requires a Bachelor's degree in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework Must be comfortable working in industry standard statistics, analytics, and data visualization packages. Must be proficient in Python programming language and its analytics package Must demonstrate initiative, interpersonal skills, and the ability to communicate effectively. Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field 2+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges Experience with cloud technologies (AWS, Azure, Google Cloud, etc) Good communication, interpersonal, and collaboration skills 3+ years of industry experience
Spectrum IT Recruitment (South) Ltd
Alton, Hampshire
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military/MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; ie C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, eg AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
16/04/2024
Full time
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military/MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; ie C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, eg AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
A global medical device company are looking for a R&D Process Development Engineer to join their Research and Development team on a contract basis. Familiarity with processes associated with biomaterial coating is required. The role will involve Laboratory Work, design experiments, analysing data, and optimizing processes to meet performance and regulatory requirements. You'll be part of a cross-functional collaboration. Working closely with a diverse team of scientists, design engineers, process engineers and other functions to ensure project alignment with goals and milestones. You will also need to complete documentation, maintain comprehensive records, documentation, and reports. The role will also involve Project Management. Taking ownership of assigned tasks within projects, managing task specific timelines, budgets effectively. You will work closely with vendors to ensure that the processes are compliant with regulatory requirements and that costs and timelines are maintain. Essential skills: Biomaterial coating experience, eg Chemical Vapour Deposition, Physical Vapour Deposition, Dip coating Experience working with external vendors High level knowledge of the processes Desirable skills: Combination devices experience Project management experience The start date is for ASAP. The initial contract length is for 12 months (there will be options to extend). The role is based in Limerick and can be done mostly remotely. You will only need to come onsite every other week. The rate is €55 per hour, depending on experience, if you have any expenses please let me know and I can factor that into the rate for you. Please visit our website to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy| Registered office | London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales
15/04/2024
Project-based
A global medical device company are looking for a R&D Process Development Engineer to join their Research and Development team on a contract basis. Familiarity with processes associated with biomaterial coating is required. The role will involve Laboratory Work, design experiments, analysing data, and optimizing processes to meet performance and regulatory requirements. You'll be part of a cross-functional collaboration. Working closely with a diverse team of scientists, design engineers, process engineers and other functions to ensure project alignment with goals and milestones. You will also need to complete documentation, maintain comprehensive records, documentation, and reports. The role will also involve Project Management. Taking ownership of assigned tasks within projects, managing task specific timelines, budgets effectively. You will work closely with vendors to ensure that the processes are compliant with regulatory requirements and that costs and timelines are maintain. Essential skills: Biomaterial coating experience, eg Chemical Vapour Deposition, Physical Vapour Deposition, Dip coating Experience working with external vendors High level knowledge of the processes Desirable skills: Combination devices experience Project management experience The start date is for ASAP. The initial contract length is for 12 months (there will be options to extend). The role is based in Limerick and can be done mostly remotely. You will only need to come onsite every other week. The rate is €55 per hour, depending on experience, if you have any expenses please let me know and I can factor that into the rate for you. Please visit our website to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy| Registered office | London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales
IoT Engineer/Budapest 3 days per week onsite/6 months +/Start ASAP * Design and Architecture: Lead the design and architecture of IoT networks, including sensor selection, connectivity options, data acquisition, storage, and analytics infrastructure. * Implementation: Implement end-to-end IoT solutions, including device provisioning, integration with cloud platforms, and development of custom applications and dashboards. * Prototyping: Rapidly prototype and iterate on IoT concepts to validate technical feasibility and demonstrate proof of concept to stakeholders. * Security: Implement security best practices to safeguard IoT devices, data, and communications against cyber threats and vulnerabilities. * Scalability: Design IoT solutions that are scalable and can accommodate future growth in terms of device volume, data volume, and system complexity. * Performance Optimisation: Optimise IoT systems for performance, reliability, and resource efficiency to ensure smooth operation under varying conditions. * Testing and Validation: Develop test plans and conduct thorough testing and validation of IoT systems to ensure functionality, interoperability, and compliance with specifications. * Documentation: Create comprehensive documentation, including system architecture diagrams, technical specifications, and user manuals, to facilitate system maintenance and knowledge transfer. * Collaboration: Collaborate closely with cross-functional teams, including hardware engineers, software developers, data scientists, and product managers, to deliver integrated IoT solutions that meet customer requirements. * Continuous Learning: Stay updated on emerging trends, technologies, and best practices in the field of IoT, and apply new knowledge to enhance the capabilities of our IoT offerings. Qualifications: * Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. * Proven experience in designing and implementing IoT networks, preferably in an industrial or commercial environment. * Proficiency in IoT protocols and standards, such as MQTT, CoAP, LoRaWAN, and Bluetooth Low Energy. * Hands-on experience with IoT hardware platforms, sensors, actuators, and Embedded systems. * Strong programming skills in languages such as C/C++, Python, Java, or JavaScript. * Experience with IoT cloud platforms, such as AWS IoT, Azure IoT, or Google Cloud IoT Core. * Familiarity with data management and analytics technologies, such as SQL databases, NoSQL databases, and big data platforms. * Excellent problem-solving skills and the ability to troubleshoot complex technical issues. * Effective communication skills and the ability to work collaboratively in a fast-paced, cross-functional team environment.
15/04/2024
Project-based
IoT Engineer/Budapest 3 days per week onsite/6 months +/Start ASAP * Design and Architecture: Lead the design and architecture of IoT networks, including sensor selection, connectivity options, data acquisition, storage, and analytics infrastructure. * Implementation: Implement end-to-end IoT solutions, including device provisioning, integration with cloud platforms, and development of custom applications and dashboards. * Prototyping: Rapidly prototype and iterate on IoT concepts to validate technical feasibility and demonstrate proof of concept to stakeholders. * Security: Implement security best practices to safeguard IoT devices, data, and communications against cyber threats and vulnerabilities. * Scalability: Design IoT solutions that are scalable and can accommodate future growth in terms of device volume, data volume, and system complexity. * Performance Optimisation: Optimise IoT systems for performance, reliability, and resource efficiency to ensure smooth operation under varying conditions. * Testing and Validation: Develop test plans and conduct thorough testing and validation of IoT systems to ensure functionality, interoperability, and compliance with specifications. * Documentation: Create comprehensive documentation, including system architecture diagrams, technical specifications, and user manuals, to facilitate system maintenance and knowledge transfer. * Collaboration: Collaborate closely with cross-functional teams, including hardware engineers, software developers, data scientists, and product managers, to deliver integrated IoT solutions that meet customer requirements. * Continuous Learning: Stay updated on emerging trends, technologies, and best practices in the field of IoT, and apply new knowledge to enhance the capabilities of our IoT offerings. Qualifications: * Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. * Proven experience in designing and implementing IoT networks, preferably in an industrial or commercial environment. * Proficiency in IoT protocols and standards, such as MQTT, CoAP, LoRaWAN, and Bluetooth Low Energy. * Hands-on experience with IoT hardware platforms, sensors, actuators, and Embedded systems. * Strong programming skills in languages such as C/C++, Python, Java, or JavaScript. * Experience with IoT cloud platforms, such as AWS IoT, Azure IoT, or Google Cloud IoT Core. * Familiarity with data management and analytics technologies, such as SQL databases, NoSQL databases, and big data platforms. * Excellent problem-solving skills and the ability to troubleshoot complex technical issues. * Effective communication skills and the ability to work collaboratively in a fast-paced, cross-functional team environment.
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.
12/04/2024
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.