If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 02, 2025
Full time
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
UK Power Networks (Operations) Ltd
Crawley, Sussex
80507- Protection and Commissioning Engineer This Protection and Commissioning Engineer will report to the Lead Protection and Commissioning Engineer and will work within Capital Programme based in several locations in our SPN licence area. You will be a permanent employee. You will attract a salary of 80,557 plus car and a bonus of 3%. If you are successful, you will need to undertake a medical and DBS reference check Should you not have the full range of essential skills, qualifications and competencies listed below, there may be an opportunity for further training to equip you. If you do not have all relevant competencies for the core grade, it will be appropriate to appoint at a lower grade until you have developed the required competencies. Close Date: .05/10/2025 We also provide the following additional benefits 25 Days Annual Leave plus bank holidays. Reservist Leave - Additional 18 days full pay and 22 unpaid Personal Pension Plan - Personal contribution rates of 4% or 5% (UK Power Networks will make a corresponding contribution of 8% or 10%) Tenancy Loan Deposit Scheme, Season Ticket Loan Tax efficient benefits: Cycle to Work, Home & Tech, and Green Car Leasing Schemes Occupational Health support Switched On - scheme providing discount on hundreds of retailers' products Discounted gym membership Employee Assistance Programme Job Purpose Plan and perform commissioning testing of all types of substation equipment at all voltage levels following current procedures. Provide Design / Standards support Perform witnessing of manufacturers commissioning tests to ensure quality assurance and compliance. Knowledge and Experience Required You will hold either a relevant engineering degree or Higher National HNC/HND qualification. It is desirable that you have network operational experience as an Authorised Person (AP) of which, a period of time would be as a commissioning engineer. This is a complex field requiring high technical understanding and proficiency and will include the ability to apply practical engineering sense from first principles using a logical disciplined approach to problem solving. Additional IT skills will allow interaction from laptop to complex modern relay schemes to programme, test, extract fault records and interpret results with a right first-time approach. Principal Accountabilities Ensure safety management prevail throughout all areas and that safety performance is maintained within parameters defined by the Executive. Promote the zero harm philosophy. Plan and manage the programme of commissioning work testing and plant acceptance testing leading to safe energisation and successful project completion for both internal and external customers. Develop and agree commissioning plans and programmes for projects applying sound engineering knowledge to set standards and ensure through and complete testing of new schemes. At design reviews working with in-house, contractor and supplier experts, evaluate designs which deliver optimisation and leads to scheme design understanding, reduced risk and complete testing methodology. Check and apply software programmable logic and settings to protection schemes checking operational and making adjustments to the scheme logic. During commissioning testing, diagnose problems and propose modifications to scheme design to provide desired operability. As a recognised expert, investigate, advise, diagnose and correct mal operations that occur during the life of the equipment. Drawing on the skills of senior commissioning engineers, collaboration with technical experts in other organisations propose the root cause and to develop permanent solutions to the issues. Often this is required to tight timescales when network equipment has failed in service. Work with Network Control, planning and authorising safe energisation of plant on to the network. To ensure that Customer Minutes Lost (CML) and Customer Interruptions (CI) are minimised as a result of the activities of commissioning new plant and that schemes will deliver lower numbers over the life of the project. To witness contractors testing and to coordinate the use of test sheets, test routines and policy applied. Ensure that all settings applied to relays are confirmed back into our database before energisation. All as built records are completed by contractors and employees to ensure records of work are maintained. Nature and Scope Commissioning and the associated quality assurance occur throughout the process of delivering the network capital programme. From the early broad design review to detailed design checks at the later stages. Equipment is checked, tested, safely energised and records updated as part of the process. The role is one of teamwork with many other specialists and colleagues. Commissioning equipment requires communication and understanding with technical staff Contractors, Suppliers, and Customers and internally with designers and project managers. Technical problems that occur on site are normally handled locally where you will find a way to achieve the end often without reference to higher authority. Applying precedents, you will make decisions about a way forward. Often there is no right answer. For this reason, communication must be unambiguous. Risk is often reduced by an ability to understand and rationalise conflicting points of view to reach an optimum solution. Work is normally on sites with varying degrees of accommodation. The majority of the work is site-based including outdoor and indoor construction areas and site-based office locations. Work often takes place outside normal hours to lower the risk of customer interruptions whilst new plant is commissioned and tested. The planning process towards this can be very long term. There will be limited technical guidance provided and you may have to request help. General remote managerial supervision is provided. You will contribute to the development of commissioning testing. Outline rules and policies exist to guide staff. New developments are being incorporated into designs all the time resulting in your learning. Commissioning engineers are often required to provide expertise to operational staff when faults or failures affect customers' supplies. The workload tends to be peaked towards the summer and early winter months and as a result of network outage risk, customer requirements and the demands of the programme require flexible working times. You will have to work outside normal hours. You will be a major influence on prioritisation and planning of work. Decisions on testing and energisation lay with you. You will normally be the technical authority on site for solving problems, faults, failures.
Sep 24, 2025
Full time
80507- Protection and Commissioning Engineer This Protection and Commissioning Engineer will report to the Lead Protection and Commissioning Engineer and will work within Capital Programme based in several locations in our SPN licence area. You will be a permanent employee. You will attract a salary of 80,557 plus car and a bonus of 3%. If you are successful, you will need to undertake a medical and DBS reference check Should you not have the full range of essential skills, qualifications and competencies listed below, there may be an opportunity for further training to equip you. If you do not have all relevant competencies for the core grade, it will be appropriate to appoint at a lower grade until you have developed the required competencies. Close Date: .05/10/2025 We also provide the following additional benefits 25 Days Annual Leave plus bank holidays. Reservist Leave - Additional 18 days full pay and 22 unpaid Personal Pension Plan - Personal contribution rates of 4% or 5% (UK Power Networks will make a corresponding contribution of 8% or 10%) Tenancy Loan Deposit Scheme, Season Ticket Loan Tax efficient benefits: Cycle to Work, Home & Tech, and Green Car Leasing Schemes Occupational Health support Switched On - scheme providing discount on hundreds of retailers' products Discounted gym membership Employee Assistance Programme Job Purpose Plan and perform commissioning testing of all types of substation equipment at all voltage levels following current procedures. Provide Design / Standards support Perform witnessing of manufacturers commissioning tests to ensure quality assurance and compliance. Knowledge and Experience Required You will hold either a relevant engineering degree or Higher National HNC/HND qualification. It is desirable that you have network operational experience as an Authorised Person (AP) of which, a period of time would be as a commissioning engineer. This is a complex field requiring high technical understanding and proficiency and will include the ability to apply practical engineering sense from first principles using a logical disciplined approach to problem solving. Additional IT skills will allow interaction from laptop to complex modern relay schemes to programme, test, extract fault records and interpret results with a right first-time approach. Principal Accountabilities Ensure safety management prevail throughout all areas and that safety performance is maintained within parameters defined by the Executive. Promote the zero harm philosophy. Plan and manage the programme of commissioning work testing and plant acceptance testing leading to safe energisation and successful project completion for both internal and external customers. Develop and agree commissioning plans and programmes for projects applying sound engineering knowledge to set standards and ensure through and complete testing of new schemes. At design reviews working with in-house, contractor and supplier experts, evaluate designs which deliver optimisation and leads to scheme design understanding, reduced risk and complete testing methodology. Check and apply software programmable logic and settings to protection schemes checking operational and making adjustments to the scheme logic. During commissioning testing, diagnose problems and propose modifications to scheme design to provide desired operability. As a recognised expert, investigate, advise, diagnose and correct mal operations that occur during the life of the equipment. Drawing on the skills of senior commissioning engineers, collaboration with technical experts in other organisations propose the root cause and to develop permanent solutions to the issues. Often this is required to tight timescales when network equipment has failed in service. Work with Network Control, planning and authorising safe energisation of plant on to the network. To ensure that Customer Minutes Lost (CML) and Customer Interruptions (CI) are minimised as a result of the activities of commissioning new plant and that schemes will deliver lower numbers over the life of the project. To witness contractors testing and to coordinate the use of test sheets, test routines and policy applied. Ensure that all settings applied to relays are confirmed back into our database before energisation. All as built records are completed by contractors and employees to ensure records of work are maintained. Nature and Scope Commissioning and the associated quality assurance occur throughout the process of delivering the network capital programme. From the early broad design review to detailed design checks at the later stages. Equipment is checked, tested, safely energised and records updated as part of the process. The role is one of teamwork with many other specialists and colleagues. Commissioning equipment requires communication and understanding with technical staff Contractors, Suppliers, and Customers and internally with designers and project managers. Technical problems that occur on site are normally handled locally where you will find a way to achieve the end often without reference to higher authority. Applying precedents, you will make decisions about a way forward. Often there is no right answer. For this reason, communication must be unambiguous. Risk is often reduced by an ability to understand and rationalise conflicting points of view to reach an optimum solution. Work is normally on sites with varying degrees of accommodation. The majority of the work is site-based including outdoor and indoor construction areas and site-based office locations. Work often takes place outside normal hours to lower the risk of customer interruptions whilst new plant is commissioned and tested. The planning process towards this can be very long term. There will be limited technical guidance provided and you may have to request help. General remote managerial supervision is provided. You will contribute to the development of commissioning testing. Outline rules and policies exist to guide staff. New developments are being incorporated into designs all the time resulting in your learning. Commissioning engineers are often required to provide expertise to operational staff when faults or failures affect customers' supplies. The workload tends to be peaked towards the summer and early winter months and as a result of network outage risk, customer requirements and the demands of the programme require flexible working times. You will have to work outside normal hours. You will be a major influence on prioritisation and planning of work. Decisions on testing and energisation lay with you. You will normally be the technical authority on site for solving problems, faults, failures.
