Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
14/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
14/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
About the Team We are looking for a Technical Lead to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI). The Chemical Biology Resources team provides world-leading chemogenomics resources to the scientific community. ChEMBL is a database of quantitative small-molecule bioactivity data curated primarily from the scientific literature widely used to support drug discovery projects in industry and academia. SureChEMBL is a complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The Technical Lead is part of the leadership team in the group, which consists of an international and interdisciplinary mix of professional scientists and software engineers. You will manage a team of engineers that maintain and develop our websites, APIs and data workflows. You will be working closely with the Team Leader, ChEMBL Group Coordinator and Senior Scientific Developer to ensure that the teams resources are maintained and developed in a sustainable way that is flexible enough to support ongoing changes and improvements to what we do. Duties & Responsibilities In this role you will: Oversee and maintain critical infrastructure supporting ChEMBL, SureChEMBL, ChEBI, OPSIN, and UniChem platforms, including Kubernetes clusters, virtual machines, database environments (SQL, MongoDB), transfer services (FTP, etc.), networking and compute clusters Proactively track and implement EBIs IT database patch schedules and coordinate infrastructure migrations/updates Develop and implement a comprehensive monitoring strategy across all services to ensure optimal performance and reliability Ensure the stability and continuous availability of existing systems, with particular focus on the ChEMBL platform and the teams ElasticSearch instance Further standardise and streamline deployment procedures to create consistency and efficiency across platforms Serve as the primary point of contact for all IT-related matters, providing expert guidance both internally and externally Lead the development and ongoing maintenance of all services within the portfolio, with hands-on implementation and technical problem-solving Maintain ongoing efforts to address technical debt so that our services remain in good health You have (Requirements) A degree in computer science or related field, or a PhD in a relevant computational discipline Several years professional experience involving backend development. Track record of delivered projects involving backend development Proficient in Python programming. Strong experience with Python backend frameworks such as Django or FastAPI. Strong experience with SQL databases (e.g., Oracle, PostgreSQL, MySQL). Experience with NoSQL databases such as Elasticsearch and MongoDB. Experience with DevOps practices such as CI/CD workflows (particularly using GitLab) and infrastructure as code. Proficient in working with Linux operating systems. Familiar with containerization technologies (Docker) and orchestration platforms (Kubernetes). Behaviours Experience managing a team. Self-motivated with good communication skills and the ambition to work with international collaborators and users. Advanced English language and excellent interpersonal skills Demonstrated ability to see the bigger picture and bring colleagues along with you, ensuring alignment across teams and driving collective success! You might also have (Desirable) Experience managing infrastructure for scientific or data science workflows. Experience with Java programming. An interest in life sciences is a plus. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year grant based contract Salary: Monthly salary starting at£4,206 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/01/2026. JBRP1_UKTJ
13/12/2025
Full time
About the Team We are looking for a Technical Lead to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI). The Chemical Biology Resources team provides world-leading chemogenomics resources to the scientific community. ChEMBL is a database of quantitative small-molecule bioactivity data curated primarily from the scientific literature widely used to support drug discovery projects in industry and academia. SureChEMBL is a complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The Technical Lead is part of the leadership team in the group, which consists of an international and interdisciplinary mix of professional scientists and software engineers. You will manage a team of engineers that maintain and develop our websites, APIs and data workflows. You will be working closely with the Team Leader, ChEMBL Group Coordinator and Senior Scientific Developer to ensure that the teams resources are maintained and developed in a sustainable way that is flexible enough to support ongoing changes and improvements to what we do. Duties & Responsibilities In this role you will: Oversee and maintain critical infrastructure supporting ChEMBL, SureChEMBL, ChEBI, OPSIN, and UniChem platforms, including Kubernetes clusters, virtual machines, database environments (SQL, MongoDB), transfer services (FTP, etc.), networking and compute clusters Proactively track and implement EBIs IT database patch schedules and coordinate infrastructure migrations/updates Develop and implement a comprehensive monitoring strategy across all services to ensure optimal performance and reliability Ensure the stability and continuous availability of existing systems, with particular focus on the ChEMBL platform and the teams ElasticSearch instance Further standardise and streamline deployment procedures to create consistency and efficiency across platforms Serve as the primary point of contact for all IT-related matters, providing expert guidance both internally and externally Lead the development and ongoing maintenance of all services within the portfolio, with hands-on implementation and technical problem-solving Maintain ongoing efforts to address technical debt so that our services remain in good health You have (Requirements) A degree in computer science or related field, or a PhD in a relevant computational discipline Several years professional experience involving backend development. Track record of delivered projects involving backend development Proficient in Python programming. Strong experience with Python backend frameworks such as Django or FastAPI. Strong experience with SQL databases (e.g., Oracle, PostgreSQL, MySQL). Experience with NoSQL databases such as Elasticsearch and MongoDB. Experience with DevOps practices such as CI/CD workflows (particularly using GitLab) and infrastructure as code. Proficient in working with Linux operating systems. Familiar with containerization technologies (Docker) and orchestration platforms (Kubernetes). Behaviours Experience managing a team. Self-motivated with good communication skills and the ambition to work with international collaborators and users. Advanced English language and excellent interpersonal skills Demonstrated ability to see the bigger picture and bring colleagues along with you, ensuring alignment across teams and driving collective success! You might also have (Desirable) Experience managing infrastructure for scientific or data science workflows. Experience with Java programming. An interest in life sciences is a plus. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 3 year grant based contract Salary: Monthly salary starting at£4,206 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 05/01/2026. JBRP1_UKTJ
Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026 Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we'd love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model. FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK's trusted flood estimation tools. Your role: Develop and manage hydrological methods for Qube. Contribute to ReFH2 and WINFAP5 development. Explore and implement machine learning enhancements to hydrological models. Support scientific research and integrate findings into commercial software. Work closely with regulators and users to ensure compliance, quality, and usability. Required Skills & Experience A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.). Strong programming skills in Python and/or R. Experience developing machine learning models for environmental or complex datasets. Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.). Excellent communication skills for both technical and non-technical audiences. Demonstrable experience in hydrology or water-related environmental science. A relevant postgraduate qualification is welcome but not essential. What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality technical reports. Begin your journey toward professional chartership (e.g., CIWEM). Following your first year, opportunities include: Influencing the strategic development of our software products. Leading R&D projects as a Project Manager. Helping develop client proposals. Contributing to our strategic marketing and product development plans. Benefits & Culture Our client is an employee-owned trust, who invests in their people and their wellbeing. 40+ days holiday (with buy/sell options). Profit-share and tax-free bonuses through employee ownership. Matched pension contributions (5-10%). Health plan, Cycle to Work, Environment Day. 5 days training per year, plus support towards chartership. Flexible working arrangements. Financial support for professional memberships Formal appraisal and personal development planning Flexible working hours High-quality IT infrastructure & personal computing budget Fun annual staff events (axe throwing, escape rooms, and more)
12/12/2025
Full time
Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026 Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we'd love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model. FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK's trusted flood estimation tools. Your role: Develop and manage hydrological methods for Qube. Contribute to ReFH2 and WINFAP5 development. Explore and implement machine learning enhancements to hydrological models. Support scientific research and integrate findings into commercial software. Work closely with regulators and users to ensure compliance, quality, and usability. Required Skills & Experience A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.). Strong programming skills in Python and/or R. Experience developing machine learning models for environmental or complex datasets. Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.). Excellent communication skills for both technical and non-technical audiences. Demonstrable experience in hydrology or water-related environmental science. A relevant postgraduate qualification is welcome but not essential. What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality technical reports. Begin your journey toward professional chartership (e.g., CIWEM). Following your first year, opportunities include: Influencing the strategic development of our software products. Leading R&D projects as a Project Manager. Helping develop client proposals. Contributing to our strategic marketing and product development plans. Benefits & Culture Our client is an employee-owned trust, who invests in their people and their wellbeing. 40+ days holiday (with buy/sell options). Profit-share and tax-free bonuses through employee ownership. Matched pension contributions (5-10%). Health plan, Cycle to Work, Environment Day. 5 days training per year, plus support towards chartership. Flexible working arrangements. Financial support for professional memberships Formal appraisal and personal development planning Flexible working hours High-quality IT infrastructure & personal computing budget Fun annual staff events (axe throwing, escape rooms, and more)
Job Description Job Title: Software Engineer - Submarines Working Pattern: Full time (Days) Working location: Derby (Onsite) We have an exciting opportunity for a Software Engineer to help develop tools that support the design and manufacture of nuclear powerplants for the Royal Navy. You will build in-house web applications that help scientists and engineers work more efficiently and make better decisions. In this role, you will specify, design, test, and validate software components, and deliver high-quality code and documentation on time. You will break down designs, create tests, and ensure the software meets all requirements Our backend uses Python with scientific libraries (NumPy, SciPy, Polars), and our frontend uses React. Experience with these is helpful but not required. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer: We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. What you will be doing: With this exciting opportunity you will get a chance to be involved with the following: Developing web applications for the upload, processing, and visualisation of complex manufacturing datasets. Aggregating data to aid product manufacture, helping to reduce risk, time and cost in our products. Modernising our processes and methods, acting as an ambassador for software and digital methods. As a senior software engineer you will seek to mentor and upskill junior colleagues, through maintaining technical development, guiding process compliance, and supporting wellbeing. Who we're looking for: At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. To be successful in this role you will need to meet the following criteria: Demonstrable long-term experience of software development in a commercial environment. Preferably in fields with a focus on compliance (Financial services, medical, engineering, etc). A numerate, degree level, education (Computer Science, Mathematics, Physics, Engineering) or equivalent experience. Committed to developing high quality code that is interpretable, documented and tested. Taking responsibility to steer the governance and continuous improvement of these processes. With the support of the product owner, you will be keen to work with a range of customers from operations and engineering to elicit requirements and translate them to traceable code. Designing and architecting solutions for long term stability and maintainability. Have a delivery focussed mindset, able to make decisions that make best compromises between complexity and shipping value. This includes at the tech stack level. Experience of automation in the context of software development and deployment lifecycle. Demonstrable leadership attributes. This need not be a direct team leader or managerial role, but the behaviours and values commensurate with a senior position Have interests in topics beyond the typical scope of web application development, we are particularly keen to hear from applicants with interests in statistics, optimisation, and mathematics (Desirable). Experience of working during change or transformation. Building relationship within complex organisations and using this to influence outcomes (Desirable). We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for Rolls-Royce Submarines, you need to hold a Security Check (SC) clearance without any caveats to that clearance. Rolls-Royce will support the application for Security Clearance if you don't currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets, you must hold a UK nationality. Any dual nationals will require additional scrutiny and background checks prior to commencing work with RRSL. Closing date: 16/01/2026 As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Software Systems Posting Date 10 Dec 2025; 00:12 Posting End Date 16 Jan 2026PandoLogic.
12/12/2025
Full time
Job Description Job Title: Software Engineer - Submarines Working Pattern: Full time (Days) Working location: Derby (Onsite) We have an exciting opportunity for a Software Engineer to help develop tools that support the design and manufacture of nuclear powerplants for the Royal Navy. You will build in-house web applications that help scientists and engineers work more efficiently and make better decisions. In this role, you will specify, design, test, and validate software components, and deliver high-quality code and documentation on time. You will break down designs, create tests, and ensure the software meets all requirements Our backend uses Python with scientific libraries (NumPy, SciPy, Polars), and our frontend uses React. Experience with these is helpful but not required. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer: We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. What you will be doing: With this exciting opportunity you will get a chance to be involved with the following: Developing web applications for the upload, processing, and visualisation of complex manufacturing datasets. Aggregating data to aid product manufacture, helping to reduce risk, time and cost in our products. Modernising our processes and methods, acting as an ambassador for software and digital methods. As a senior software engineer you will seek to mentor and upskill junior colleagues, through maintaining technical development, guiding process compliance, and supporting wellbeing. Who we're looking for: At Rolls-Royce we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. To be successful in this role you will need to meet the following criteria: Demonstrable long-term experience of software development in a commercial environment. Preferably in fields with a focus on compliance (Financial services, medical, engineering, etc). A numerate, degree level, education (Computer Science, Mathematics, Physics, Engineering) or equivalent experience. Committed to developing high quality code that is interpretable, documented and tested. Taking responsibility to steer the governance and continuous improvement of these processes. With the support of the product owner, you will be keen to work with a range of customers from operations and engineering to elicit requirements and translate them to traceable code. Designing and architecting solutions for long term stability and maintainability. Have a delivery focussed mindset, able to make decisions that make best compromises between complexity and shipping value. This includes at the tech stack level. Experience of automation in the context of software development and deployment lifecycle. Demonstrable leadership attributes. This need not be a direct team leader or managerial role, but the behaviours and values commensurate with a senior position Have interests in topics beyond the typical scope of web application development, we are particularly keen to hear from applicants with interests in statistics, optimisation, and mathematics (Desirable). Experience of working during change or transformation. Building relationship within complex organisations and using this to influence outcomes (Desirable). We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for Rolls-Royce Submarines, you need to hold a Security Check (SC) clearance without any caveats to that clearance. Rolls-Royce will support the application for Security Clearance if you don't currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets, you must hold a UK nationality. Any dual nationals will require additional scrutiny and background checks prior to commencing work with RRSL. Closing date: 16/01/2026 As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Software Systems Posting Date 10 Dec 2025; 00:12 Posting End Date 16 Jan 2026PandoLogic.
You ll be joining a lean, high-performing data science team of three in a Fintech that s making serious moves in financial services. This role is about end-to-end ownership . From spotting opportunities to deploying models that stick, you ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. We require hands-on experience building and maintaining ML/AI predictive models . You'll need to evidence previous advanced predictive modelling or end-to-end ownership of said models. We re specifically looking for someone experienced with the f ull lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes, and being accountable for real commercial impact. Location: Nottingham (4 days per week in office) Salary: c£65,000 - £75,000 (DOE) Why This Role Matters Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results. Now it s your turn. You ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We re Looking For Proven impact - you ve taken models into production and seen them deliver real results. Autonomous leadership - confident in owning projects, engaging stakeholders, and holding yourself accountable. Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax. Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You ll Get High visibility and autonomy - your work won t be buried in layers of hierarchy A direct line to senior leadership and real influence over business decisions The chance to work with sharp, passionate people solving real-world problems with data This role is four days a week in the Nottingham office . No hiding behind Zoom - you ll be embedded in the business, collaborating face-to-face, and influencing directly. If that s a fit for you, this could be a career-defining move! How to Apply If you re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we d love to hear from you.
11/12/2025
Full time
You ll be joining a lean, high-performing data science team of three in a Fintech that s making serious moves in financial services. This role is about end-to-end ownership . From spotting opportunities to deploying models that stick, you ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. We require hands-on experience building and maintaining ML/AI predictive models . You'll need to evidence previous advanced predictive modelling or end-to-end ownership of said models. We re specifically looking for someone experienced with the f ull lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes, and being accountable for real commercial impact. Location: Nottingham (4 days per week in office) Salary: c£65,000 - £75,000 (DOE) Why This Role Matters Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results. Now it s your turn. You ll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We re Looking For Proven impact - you ve taken models into production and seen them deliver real results. Autonomous leadership - confident in owning projects, engaging stakeholders, and holding yourself accountable. Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax. Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You ll Get High visibility and autonomy - your work won t be buried in layers of hierarchy A direct line to senior leadership and real influence over business decisions The chance to work with sharp, passionate people solving real-world problems with data This role is four days a week in the Nottingham office . No hiding behind Zoom - you ll be embedded in the business, collaborating face-to-face, and influencing directly. If that s a fit for you, this could be a career-defining move! How to Apply If you re a Data Scientist who wants to own projects, deliver real outcomes, and be recognised for your impact, we d love to hear from you.
Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.
11/12/2025
Full time
Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.
HPC Consultant: High Performance Computing, Kubernetes, OpenFoam - 5 day Contract Our enterprise client is looking for a HPC Principal Consultant to join their team. Start Date: ASAP Duration: 5 days Pay Rate: £413 p/d (PLEASE NOTE: Employer NI is paid for by the client) Total Daily Earnings: £470 p/d (includes rolled up holiday) IR35 Status: Inside Location: Derby NOTE: Active SC Clearance is highly desirable. Responsibilities: Conduct interviews with customer staff covering the following areas: Current infrastructure and use cases of HPC. Market view of container technologies and options for HPC Use Cases Solution Discovery Technical Skills: Software Development Life Cycle (SDLC), including: Job Scheduling (Slurm at Kubernetes), Run:AI and GPU slicing. Jupyter ecosystem (Hubs/Labs/Notebooks) for Data Scientists workflows. Evaluating Kubernetes vs. Beowulf cluster architectures for HPC. Skillset and knowledge gap analysis of the team with respect to: Best practices for MPI-optimized container images, including OpenMPI with Apptainer (SIF), Podman/Buildah tooling, and other alternatives. Experience in CFD software such as: OpenFOAM. MPI, OpenFOAM NVIDIA BCM MPI, slurm: job scheduler Apptainer/Singularity, docker, podman SIF format HPC Workflows Beowulf clusters Kubernetes as HPC runtime environment Soft Skills: A strong desire to help others by sharing knowledge, peer reviewing, and contributing to technical and process standards Work well within a team, report issues and risks, take part in team meetings, share ideas and work towards improving our service. Excellent written & verbal communication with customers to understand and to influence. To apply for this HPC Consultant contract job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
11/12/2025
Contractor
HPC Consultant: High Performance Computing, Kubernetes, OpenFoam - 5 day Contract Our enterprise client is looking for a HPC Principal Consultant to join their team. Start Date: ASAP Duration: 5 days Pay Rate: £413 p/d (PLEASE NOTE: Employer NI is paid for by the client) Total Daily Earnings: £470 p/d (includes rolled up holiday) IR35 Status: Inside Location: Derby NOTE: Active SC Clearance is highly desirable. Responsibilities: Conduct interviews with customer staff covering the following areas: Current infrastructure and use cases of HPC. Market view of container technologies and options for HPC Use Cases Solution Discovery Technical Skills: Software Development Life Cycle (SDLC), including: Job Scheduling (Slurm at Kubernetes), Run:AI and GPU slicing. Jupyter ecosystem (Hubs/Labs/Notebooks) for Data Scientists workflows. Evaluating Kubernetes vs. Beowulf cluster architectures for HPC. Skillset and knowledge gap analysis of the team with respect to: Best practices for MPI-optimized container images, including OpenMPI with Apptainer (SIF), Podman/Buildah tooling, and other alternatives. Experience in CFD software such as: OpenFOAM. MPI, OpenFOAM NVIDIA BCM MPI, slurm: job scheduler Apptainer/Singularity, docker, podman SIF format HPC Workflows Beowulf clusters Kubernetes as HPC runtime environment Soft Skills: A strong desire to help others by sharing knowledge, peer reviewing, and contributing to technical and process standards Work well within a team, report issues and risks, take part in team meetings, share ideas and work towards improving our service. Excellent written & verbal communication with customers to understand and to influence. To apply for this HPC Consultant contract job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Learning Designer - Adaptive Learning/AI-Driven Digital Pedagogy Rate: Up to £600/day (Inside IR35) Start: ASAP Length: 6 months Location: Remote-first, with travel to Manchester once per week We are supporting a consultancy delivering a high-profile adaptive learning programme for an end-client in the digital content and media space. We are seeking experienced Learning Designers who specialise in designing adaptive, AI-enabled learning products , rather than traditional E-learning modules. You will work closely with Learning Science, UX and Product teams to shape pedagogically rigorous learning experiences that dynamically adapt to user behaviour, performance and progression. Key Responsibilities Design adaptive learning experiences, pathways and interactions informed by AI/ML models Apply advanced learning theory (eg, Bloom's Taxonomy, Constructivism, digital pedagogy) Collaborate closely with UX Designers to align learning mechanics with product flows, accessibility standards and interaction patterns Use learner analytics, behavioural data and research insights to refine content, pacing, scaffolding and feedback Balance pedagogical rigour with engagement techniques such as gamification and interactivity Work with Editorial teams to ensure accuracy, clarity and consistency across learning materials Contribute to experimentation and iteration cycles based on user testing and performance data Essential Experience Significant experience as a Learning Designer , Instructional Designer, or Learning Experience Designer Proven background designing adaptive or AI/ML-powered learning products (personalised learning paths, intelligent feedback, predictive learning design, etc.) Strong understanding of digital pedagogy and evidence-based instructional design practices Experience designing for modern product environments (iterative, data-driven, cross-disciplinary) Ability to work with analytics, user testing insights and performance data to direct learning improvements Comfortable partnering with Product Managers, UX Designers and Learning Scientists Desirable Experience in large-scale digital content or EdTech environments Background working with recommendation systems, learner modelling or behaviour-driven adaptation Familiarity with accessibility best practices for digital learning products This is an opportunity to work at the leading edge of digital learning, designing next-generation adaptive experiences for a high-profile programme. If you have genuine experience in adaptive/AI-enhanced learning design, please get in touch to discuss the role in more detail.
11/12/2025
Contractor
Learning Designer - Adaptive Learning/AI-Driven Digital Pedagogy Rate: Up to £600/day (Inside IR35) Start: ASAP Length: 6 months Location: Remote-first, with travel to Manchester once per week We are supporting a consultancy delivering a high-profile adaptive learning programme for an end-client in the digital content and media space. We are seeking experienced Learning Designers who specialise in designing adaptive, AI-enabled learning products , rather than traditional E-learning modules. You will work closely with Learning Science, UX and Product teams to shape pedagogically rigorous learning experiences that dynamically adapt to user behaviour, performance and progression. Key Responsibilities Design adaptive learning experiences, pathways and interactions informed by AI/ML models Apply advanced learning theory (eg, Bloom's Taxonomy, Constructivism, digital pedagogy) Collaborate closely with UX Designers to align learning mechanics with product flows, accessibility standards and interaction patterns Use learner analytics, behavioural data and research insights to refine content, pacing, scaffolding and feedback Balance pedagogical rigour with engagement techniques such as gamification and interactivity Work with Editorial teams to ensure accuracy, clarity and consistency across learning materials Contribute to experimentation and iteration cycles based on user testing and performance data Essential Experience Significant experience as a Learning Designer , Instructional Designer, or Learning Experience Designer Proven background designing adaptive or AI/ML-powered learning products (personalised learning paths, intelligent feedback, predictive learning design, etc.) Strong understanding of digital pedagogy and evidence-based instructional design practices Experience designing for modern product environments (iterative, data-driven, cross-disciplinary) Ability to work with analytics, user testing insights and performance data to direct learning improvements Comfortable partnering with Product Managers, UX Designers and Learning Scientists Desirable Experience in large-scale digital content or EdTech environments Background working with recommendation systems, learner modelling or behaviour-driven adaptation Familiarity with accessibility best practices for digital learning products This is an opportunity to work at the leading edge of digital learning, designing next-generation adaptive experiences for a high-profile programme. If you have genuine experience in adaptive/AI-enhanced learning design, please get in touch to discuss the role in more detail.
Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
10/12/2025
Full time
Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Data Scientist - 6-Month Contract (Inside IR35) Rate: 400 per day Location: Mostly remote with occasional visits to London office Clearance: BPSS clearable Start: Jan 2026 We're looking for an experienced Data Scientist to join a 6-month project focused on improving healthcare screening strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What's in it for you? Mostly remote working Opportunity to make a real difference in healthcare delivery Collaborative and dynamic team environment To discuss this role further please submit your CV or contact Brandon Forbes Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
10/12/2025
Contractor
Data Scientist - 6-Month Contract (Inside IR35) Rate: 400 per day Location: Mostly remote with occasional visits to London office Clearance: BPSS clearable Start: Jan 2026 We're looking for an experienced Data Scientist to join a 6-month project focused on improving healthcare screening strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What's in it for you? Mostly remote working Opportunity to make a real difference in healthcare delivery Collaborative and dynamic team environment To discuss this role further please submit your CV or contact Brandon Forbes Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
10/12/2025
Full time
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
We are looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and solve Linear Programming and other optimisation problems. Deliver end-to-end, productionised analytical solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient in Python and cloud platforms (Azure preferred). Randstad Technologies is acting as an Employment Business in relation to this vacancy.
09/12/2025
Contractor
We are looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and solve Linear Programming and other optimisation problems. Deliver end-to-end, productionised analytical solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient in Python and cloud platforms (Azure preferred). Randstad Technologies is acting as an Employment Business in relation to this vacancy.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204217 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
09/12/2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204217 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
09/12/2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title : Lead AI Scientist Contract : Initial 6-Month Contract Location : London Rate : 750 - 800 inside umbrella About Us: Join an organization that is at the forefront of delivering safe, secure energy to homes, communities, and businesses! We are dedicated to connecting people with the energy they need while shaping the sustainable future of our industry. As we navigate a rapidly changing landscape, we seek to anticipate customer needs, optimize energy delivery costs, and innovate flexible energy systems. By delivering on our promises and pursuing growth opportunities, we aim to revolutionize the energy sector. In our IT and Digital division, we collaborate with diverse energy businesses, leveraging technology to drive efficiency and empower our teams. With a strong commitment to Agile methodologies and a digital mindset, we are leading the charge towards a carbon-free future. Join our multicultural, customer-centric global team and embark on an exciting professional development journey! Your Role: As the Lead AI Strategy & Value Specialist, you will be pivotal in expanding the roadmap of AI opportunities within our AI Center of Excellence. You will ensure that our business units make impactful investments in analytics and AI while maximizing the value of these investments. Your responsibilities will include: Scoping Opportunities : Collaborate with core business and IT teams to identify high-impact AI opportunities and envision analytics-powered processes. Business Case Documentation : Create compelling business cases that outline financial and non-financial benefits of proposed AI solutions. Collaboration with Delivery Teams : Work closely with solution delivery teams to define technical requirements and serve as the main interface with business units. Performance Tracking : Monitor AI program performance using KPIs to assess the impact of AI solutions and engagement with the Value Office. Governance Support : Partner with data and AI governance teams to evaluate risks associated with analytics and AI solutions. Engaging Presentations : Craft and present engaging updates to leadership and stakeholders, showcasing the vision, progress, and impact of the AI Value Office. Executive Reporting : Deliver concise reports on AI Value Office achievements and future initiatives. Strategy Development : Support the organization's AI and data strategy development while staying current with industry trends. What You'll Bring: A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, Economics, Business Management, or a related field. Relevant experience in asset-heavy industries such as Utilities, Energy, Mining, Engineering, or Manufacturing. A strong understanding of Analytics and AI, including Generative AI, and a passion for leveraging these solutions to drive business success. Exceptional business analysis skills, with expertise in capturing requirements and crafting clear business cases. Outstanding presentation skills, with a knack for delivering impactful content to diverse audiences. Proven communication and stakeholder management abilities, especially engaging with senior executives. An independent work ethic, with the ability to influence and navigate within a matrixed organization. Experience in a consulting role is a plus, particularly in strategic transformation initiatives related to data, analytics, or AI. 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. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
09/12/2025
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title : Lead AI Scientist Contract : Initial 6-Month Contract Location : London Rate : 750 - 800 inside umbrella About Us: Join an organization that is at the forefront of delivering safe, secure energy to homes, communities, and businesses! We are dedicated to connecting people with the energy they need while shaping the sustainable future of our industry. As we navigate a rapidly changing landscape, we seek to anticipate customer needs, optimize energy delivery costs, and innovate flexible energy systems. By delivering on our promises and pursuing growth opportunities, we aim to revolutionize the energy sector. In our IT and Digital division, we collaborate with diverse energy businesses, leveraging technology to drive efficiency and empower our teams. With a strong commitment to Agile methodologies and a digital mindset, we are leading the charge towards a carbon-free future. Join our multicultural, customer-centric global team and embark on an exciting professional development journey! Your Role: As the Lead AI Strategy & Value Specialist, you will be pivotal in expanding the roadmap of AI opportunities within our AI Center of Excellence. You will ensure that our business units make impactful investments in analytics and AI while maximizing the value of these investments. Your responsibilities will include: Scoping Opportunities : Collaborate with core business and IT teams to identify high-impact AI opportunities and envision analytics-powered processes. Business Case Documentation : Create compelling business cases that outline financial and non-financial benefits of proposed AI solutions. Collaboration with Delivery Teams : Work closely with solution delivery teams to define technical requirements and serve as the main interface with business units. Performance Tracking : Monitor AI program performance using KPIs to assess the impact of AI solutions and engagement with the Value Office. Governance Support : Partner with data and AI governance teams to evaluate risks associated with analytics and AI solutions. Engaging Presentations : Craft and present engaging updates to leadership and stakeholders, showcasing the vision, progress, and impact of the AI Value Office. Executive Reporting : Deliver concise reports on AI Value Office achievements and future initiatives. Strategy Development : Support the organization's AI and data strategy development while staying current with industry trends. What You'll Bring: A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Statistics, Economics, Business Management, or a related field. Relevant experience in asset-heavy industries such as Utilities, Energy, Mining, Engineering, or Manufacturing. A strong understanding of Analytics and AI, including Generative AI, and a passion for leveraging these solutions to drive business success. Exceptional business analysis skills, with expertise in capturing requirements and crafting clear business cases. Outstanding presentation skills, with a knack for delivering impactful content to diverse audiences. Proven communication and stakeholder management abilities, especially engaging with senior executives. An independent work ethic, with the ability to influence and navigate within a matrixed organization. Experience in a consulting role is a plus, particularly in strategic transformation initiatives related to data, analytics, or AI. 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. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
08/12/2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
08/12/2025
Full time
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
Data Scientist - Contract - 12 months+ I have a great contract opportunity for a strong Data Scientist. My London based client is looking for someone with excellent experience in the manufacturing and packaging industry. You need to have excellent Stochastic Simulation / Linear Processing - not your classic data scientist. We are also looking for someone with an analytical mindset focussing on explorations/exploitation of current data models. Location : Hybrid (2/3 days London. Some overseas travel). Length : 12 months with strong view to extend IR35 Status : Inside Rate : Dependent on experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. Stochastic Simulation modelling experience. If you are interested in this Data Scientist role please apply with your most recent CV. Alternatively email me on Jordan co . uk Data Scientist - Contract - 6 months+ Randstad Technologies is acting as an Employment Business in relation to this vacancy.
08/12/2025
Contractor
Data Scientist - Contract - 12 months+ I have a great contract opportunity for a strong Data Scientist. My London based client is looking for someone with excellent experience in the manufacturing and packaging industry. You need to have excellent Stochastic Simulation / Linear Processing - not your classic data scientist. We are also looking for someone with an analytical mindset focussing on explorations/exploitation of current data models. Location : Hybrid (2/3 days London. Some overseas travel). Length : 12 months with strong view to extend IR35 Status : Inside Rate : Dependent on experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. Stochastic Simulation modelling experience. If you are interested in this Data Scientist role please apply with your most recent CV. Alternatively email me on Jordan co . uk Data Scientist - Contract - 6 months+ Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Radio Frequency Modeller/Analyst Permanent Full Time On-site Based:Porton Down, Salisbury £40,000 - £60,000 -Dependant on experience 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Our Electronic Warfare Operations Support (EWOS) Group is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists and ex-military personnel combine their experience to help our customers achieve their true operational potential and ultimately help keep their people and platforms safe. How youll support us Working on-site, embedded within our customer team, you will be offering your expertise on Radio Frequency (RF) modelling and simulation, using ground-breaking science to support the UKs front-line defence. There are two main areas of modelling and analysis which the role will be working on. First, the continued design, development, and operation of software used to verify and validate EW systems across industry partners. The second area of model development and analysis is used to assess novel EW techniques and their effectiveness, with outputs being used to plan future trials. Whilst the two areas specified above will be the immediate priority work, beyond this there are lots of opportunity to be involved in other research, development, testing, analysis, and validation activities across the air platform/mission survivability modelling and simulation domain. This unparalleled access through our customer will help accelerate you as a Subject Matter Expert (SME), allowing you to branch into specialisms as your career progresses. The invaluable experience youll bring, to help us achieve more Working within the Air countermeasure team you will have access to a variety of projects, covering modelling & simulation in software, synthetic, and real-world environments. Your understanding of radar processing, operation, and doctrine will help to generate verified models that inform concept development and assessment. Experience in a related field is valued greatly! Essential: Degree level or equivalent in a Science or Engineering discipline (e.g. Maths, Physics or Engineering). Knowledge of model and simulations techniques to real-world scenarios. Experience in the development of models and tools in order to provide evidence data (MATLAB, Python, or C++). Providing analysis and writing reports from the outputs of simulation runs. ?Desirable: Digital signal processing techniques used in EW systems. RF domain knowledge and/or RF modelling experience (e.g. RF environments, RF Threat system understanding, RF countermeasure development). Experience verifying and validated software (unit and system levels). Experience in running simulations, developing and running models on a Linux Operating System and common Linux tools (BASH, PERL). Knowledge of Tactics, Techniques, and Procedures (TTPs) of EW capability within the Air domain. Knowledge of version/source control software (Git, Bitbucket). Interest in cutting-edge technologies. ?Our non-negotiables: Due to the highly secure environment that our work is conducted in, youmustbe a UK National, eligible to work and live in the UKandbe eligible to undergo and maintain appropriate UK governmentSC Security Clearance. Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so youre ready for digital transformation. Apply todayto see how working for MASS could work for you! MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. JBRP1_UKTJ
04/12/2025
Full time
Radio Frequency Modeller/Analyst Permanent Full Time On-site Based:Porton Down, Salisbury £40,000 - £60,000 -Dependant on experience 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Our Electronic Warfare Operations Support (EWOS) Group is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists and ex-military personnel combine their experience to help our customers achieve their true operational potential and ultimately help keep their people and platforms safe. How youll support us Working on-site, embedded within our customer team, you will be offering your expertise on Radio Frequency (RF) modelling and simulation, using ground-breaking science to support the UKs front-line defence. There are two main areas of modelling and analysis which the role will be working on. First, the continued design, development, and operation of software used to verify and validate EW systems across industry partners. The second area of model development and analysis is used to assess novel EW techniques and their effectiveness, with outputs being used to plan future trials. Whilst the two areas specified above will be the immediate priority work, beyond this there are lots of opportunity to be involved in other research, development, testing, analysis, and validation activities across the air platform/mission survivability modelling and simulation domain. This unparalleled access through our customer will help accelerate you as a Subject Matter Expert (SME), allowing you to branch into specialisms as your career progresses. The invaluable experience youll bring, to help us achieve more Working within the Air countermeasure team you will have access to a variety of projects, covering modelling & simulation in software, synthetic, and real-world environments. Your understanding of radar processing, operation, and doctrine will help to generate verified models that inform concept development and assessment. Experience in a related field is valued greatly! Essential: Degree level or equivalent in a Science or Engineering discipline (e.g. Maths, Physics or Engineering). Knowledge of model and simulations techniques to real-world scenarios. Experience in the development of models and tools in order to provide evidence data (MATLAB, Python, or C++). Providing analysis and writing reports from the outputs of simulation runs. ?Desirable: Digital signal processing techniques used in EW systems. RF domain knowledge and/or RF modelling experience (e.g. RF environments, RF Threat system understanding, RF countermeasure development). Experience verifying and validated software (unit and system levels). Experience in running simulations, developing and running models on a Linux Operating System and common Linux tools (BASH, PERL). Knowledge of Tactics, Techniques, and Procedures (TTPs) of EW capability within the Air domain. Knowledge of version/source control software (Git, Bitbucket). Interest in cutting-edge technologies. ?Our non-negotiables: Due to the highly secure environment that our work is conducted in, youmustbe a UK National, eligible to work and live in the UKandbe eligible to undergo and maintain appropriate UK governmentSC Security Clearance. Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so youre ready for digital transformation. Apply todayto see how working for MASS could work for you! MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. JBRP1_UKTJ
