Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
22/06/2025
Full time
Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
22/06/2025
Full time
Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
22/06/2025
Full time
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
A newly created position working for a VERY PRESTIGIOUS London Market Insurer based in the City of London. To join my client's new Digital Data Science Team. This is a permanent position (office-based with some hybrid available. Looking for candidates that are starting their Data Science journey, with ideally 2-5 years worth of commercial experience. Salary from £50,000 for mid-junior level and £75,000 for more senior; and we are happy to look at good Data Science candidates across all levels. My client team has recently won a prestigious award for Data Science and Analytics in Technology, so now would be a great time to join them. You will be working on my client's 'Award Winning' Digital Platform We are ideally looking for candidates who have good Python skills and Azure (or similar); and ideally some recent experience within the insurance, InsureTech, FinTech, or Financial Services markets.
20/06/2025
Full time
A newly created position working for a VERY PRESTIGIOUS London Market Insurer based in the City of London. To join my client's new Digital Data Science Team. This is a permanent position (office-based with some hybrid available. Looking for candidates that are starting their Data Science journey, with ideally 2-5 years worth of commercial experience. Salary from £50,000 for mid-junior level and £75,000 for more senior; and we are happy to look at good Data Science candidates across all levels. My client team has recently won a prestigious award for Data Science and Analytics in Technology, so now would be a great time to join them. You will be working on my client's 'Award Winning' Digital Platform We are ideally looking for candidates who have good Python skills and Azure (or similar); and ideally some recent experience within the insurance, InsureTech, FinTech, or Financial Services markets.
AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
20/06/2025
Full time
AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Senior Marketing Data Analytics Analyst (building MMM's with Python/r) West London based 4 days p/w onsite 1 wfh 6 month contract - Start ASAP (weeks notice) (Apply online only)pd rate inside to Umbrella Senior Marketing Analyst - Senior Marketing Data Analytics Analyst (building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. The team are specifically focused on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics. looking for an enthusiastic Senior Analyst to join the Analytics & Insights team with expertise in Marketing Analytics. This role will be pivotal in helping us evaluate strategic marketing initiatives to drive acquisition and improve retention for the subscription business. This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver marketing insights across EMEA. What You Will Do: Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of our marketing investments. Collaborate closely with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps. Partner with internal Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity of communication, able to present to stakeholders. Excellent stakeholder management with proven experience of effectively engaging with senior stakeholders. Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.
18/06/2025
Contractor
Senior Marketing Data Analytics Analyst (building MMM's with Python/r) West London based 4 days p/w onsite 1 wfh 6 month contract - Start ASAP (weeks notice) (Apply online only)pd rate inside to Umbrella Senior Marketing Analyst - Senior Marketing Data Analytics Analyst (building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. The team are specifically focused on programming strategy, marketing, customer acquisition and retention, partnerships, research, and analytics. looking for an enthusiastic Senior Analyst to join the Analytics & Insights team with expertise in Marketing Analytics. This role will be pivotal in helping us evaluate strategic marketing initiatives to drive acquisition and improve retention for the subscription business. This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver marketing insights across EMEA. What You Will Do: Drive the development, design and implementation of Marketing Mix Models (MMM), Experimentation and Geo Testing to understand the incremental impact of our marketing investments. Collaborate closely with cross-functional teams including Marketing, Finance and Research to identify key measurement opportunities across markets and build marketing measurement roadmaps. Partner with internal Analytics teams globally on model alignment and on-going development of marketing measurement methodologies. Provide impactful recommendations and strategic guidance on media mix optimisations to influence budget allocation for future marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other subscription services it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity of communication, able to present to stakeholders. Excellent stakeholder management with proven experience of effectively engaging with senior stakeholders. Everybody is welcome Diversity and Inclusion Statement. PCR Digital "At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment - it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it's why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you." We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.
Chief Data Scientist 120k - 150k - London Would you like to join an organisation where data is at the core of the business? Do you want to join a company where you will be backed by the founder to innovate? This company uses models that predict consumer behaviour for B2B consumption. Their success is built on data that isn't available anywhere else. They use their own sources of data to produce highly accurate predictions that nobody else in their sector can achieve. They want you to bring new ideas and use your experience to make their product even better. You will work closely with the senior management team to deliver the overall strategy and roadmap of the company, with the goal of adding value to the data. You will lead a team of data scientists and work with them to manage the full data science lifecycle. If this sounds like the start of something you would like to be part of, please apply.
18/06/2025
Full time
Chief Data Scientist 120k - 150k - London Would you like to join an organisation where data is at the core of the business? Do you want to join a company where you will be backed by the founder to innovate? This company uses models that predict consumer behaviour for B2B consumption. Their success is built on data that isn't available anywhere else. They use their own sources of data to produce highly accurate predictions that nobody else in their sector can achieve. They want you to bring new ideas and use your experience to make their product even better. You will work closely with the senior management team to deliver the overall strategy and roadmap of the company, with the goal of adding value to the data. You will lead a team of data scientists and work with them to manage the full data science lifecycle. If this sounds like the start of something you would like to be part of, please apply.
FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.
17/06/2025
Full time
FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.
Job Title: Data Solutions Architect - Consulting; Banking & Finance Location: London (Hybrid - 2 days/week in office) Employment Type: Permanent Salary: Up to 126,000 + 15% Annual Bonus + Benefits Start Date: ASAP (Short notice preferred) A leading global data consultancy is seeking a highly experienced Data Solutions Architect to join its Data Management practice, supporting clients in the Banking and Financial Services sector. This is a strategic, client-facing role with a strong emphasis on solution design and advisory , rather than hands-on implementation. The Role This position is ideal for a technically adept professional with deep domain expertise in banking and broader finance , who can confidently engage with senior stakeholders to shape data strategies, modernise platforms, and drive cloud transformation initiatives. You will lead the design of enterprise data architectures, support pre-sales and RFPs, and guide delivery teams - acting as a trusted advisor to CDOs, CIOs, and Heads of Data. As such, strong communication, consulting, and leadership skills are essential. You will be responsible for architecting and leading the delivery of enterprise-scale data platforms, with a focus on Google Cloud - though occasionally you may also work with Microsoft / Azure and AWS technologies. This will involve leading and mentoring global teams of Data Engineers, Analysts and Data Scientists. You will be encouraged to stay up-to-date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure DevOps, GitHub) Excellent communication, stakeholder management and engagement skills What's on Offer Salary up to 126,000 per annum 15% annual performance bonus Private healthcare, critical illness cover, life assurance, and income protection Generous pension scheme Extensive learning and development opportunities Inclusive and diverse work environment Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed)
17/06/2025
Full time
Job Title: Data Solutions Architect - Consulting; Banking & Finance Location: London (Hybrid - 2 days/week in office) Employment Type: Permanent Salary: Up to 126,000 + 15% Annual Bonus + Benefits Start Date: ASAP (Short notice preferred) A leading global data consultancy is seeking a highly experienced Data Solutions Architect to join its Data Management practice, supporting clients in the Banking and Financial Services sector. This is a strategic, client-facing role with a strong emphasis on solution design and advisory , rather than hands-on implementation. The Role This position is ideal for a technically adept professional with deep domain expertise in banking and broader finance , who can confidently engage with senior stakeholders to shape data strategies, modernise platforms, and drive cloud transformation initiatives. You will lead the design of enterprise data architectures, support pre-sales and RFPs, and guide delivery teams - acting as a trusted advisor to CDOs, CIOs, and Heads of Data. As such, strong communication, consulting, and leadership skills are essential. You will be responsible for architecting and leading the delivery of enterprise-scale data platforms, with a focus on Google Cloud - though occasionally you may also work with Microsoft / Azure and AWS technologies. This will involve leading and mentoring global teams of Data Engineers, Analysts and Data Scientists. You will be encouraged to stay up-to-date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure DevOps, GitHub) Excellent communication, stakeholder management and engagement skills What's on Offer Salary up to 126,000 per annum 15% annual performance bonus Private healthcare, critical illness cover, life assurance, and income protection Generous pension scheme Extensive learning and development opportunities Inclusive and diverse work environment Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed)
About Role : As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment. Position - Senior Data Engineer Experience - 6+ yrs Location - London Job Type - Hybrid, Permanent Mandatory Skills : Design, build, maintain data pipelines using Python, Pyspark and SQL Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP . Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements. Develop & maintain data models and data dictionaries for our data warehouse. Develop & maintain documentation for our data pipelines and data warehouse. Continuously improve the performance and scalability of our data solutions. Qualifications : Minimum 6+ years of Total experience. At least 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL.
17/06/2025
Full time
About Role : As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data architecture and infrastructure. The successful candidate should possess a strong foundation in Python, Pyspark, SQL, and ETL processes, with a demonstrated ability to implement solutions in a cloud environment. Position - Senior Data Engineer Experience - 6+ yrs Location - London Job Type - Hybrid, Permanent Mandatory Skills : Design, build, maintain data pipelines using Python, Pyspark and SQL Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS/AZURE/GCP . Collaborate with data scientists, business analysts to understand their data needs & develop solutions that meet their requirements. Develop & maintain data models and data dictionaries for our data warehouse. Develop & maintain documentation for our data pipelines and data warehouse. Continuously improve the performance and scalability of our data solutions. Qualifications : Minimum 6+ years of Total experience. At least 4 years of Hands on Experience using The Mandatory skills - Python, Pyspark, SQL.
Working on software code for scientific instrumentation hardware Based in purpose designed workspace, this multidisciplinary company employs both engineers and scientists to work on their sophisticated, next-generation instrumentation platform. Their engineers utilise robotics for automation, whilst their scientists develop scalable solutions. Their software team look to interface hardware components within their instrument as well as provide analytics and metrics. As a Software Engineer, you will join this growing team and be provided guidance from senior members of the software team with regards to developing and testing a range of software modules. This will include agile development practices, pair programming and cross-disciplinary collaboration. Requirements: Degree in Computer Science, Physics, Engineering or similar AND industry experience developing software for deliverable products. Experience writing OOP code for both desktop / enterprise applications and cloud-native services (via RESTful APIs). Any experience of communication interfaces (OPC-UA. RS232/485), would be desirable. Experience using two or more of the following: Modern C++, C# or Java. Experience with Python, React / Angular, databases would be advantageous. Applicants do need to demonstrate relevant project experience (software associated for instrumentation). Projects in banking, IT consultancy services or ML are not relevant. The role is based fully onsite as you ll be working with hardware modules and engaging with other team members. On offer is an excellent remunerations package including a wide range of benefits. Due to the out-of-town location of their offices (South Cambridgeshire), being able to drive / cycle or willingness to take public transport is required. Note, only applicants with full rights to work in the UK indefinitely without the need for company sponsorship will be considered (applicants with restricted time-limited visas will not be progressed). Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27401 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
17/06/2025
Full time
Working on software code for scientific instrumentation hardware Based in purpose designed workspace, this multidisciplinary company employs both engineers and scientists to work on their sophisticated, next-generation instrumentation platform. Their engineers utilise robotics for automation, whilst their scientists develop scalable solutions. Their software team look to interface hardware components within their instrument as well as provide analytics and metrics. As a Software Engineer, you will join this growing team and be provided guidance from senior members of the software team with regards to developing and testing a range of software modules. This will include agile development practices, pair programming and cross-disciplinary collaboration. Requirements: Degree in Computer Science, Physics, Engineering or similar AND industry experience developing software for deliverable products. Experience writing OOP code for both desktop / enterprise applications and cloud-native services (via RESTful APIs). Any experience of communication interfaces (OPC-UA. RS232/485), would be desirable. Experience using two or more of the following: Modern C++, C# or Java. Experience with Python, React / Angular, databases would be advantageous. Applicants do need to demonstrate relevant project experience (software associated for instrumentation). Projects in banking, IT consultancy services or ML are not relevant. The role is based fully onsite as you ll be working with hardware modules and engaging with other team members. On offer is an excellent remunerations package including a wide range of benefits. Due to the out-of-town location of their offices (South Cambridgeshire), being able to drive / cycle or willingness to take public transport is required. Note, only applicants with full rights to work in the UK indefinitely without the need for company sponsorship will be considered (applicants with restricted time-limited visas will not be progressed). Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27401 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Senior Data Scientist: Build the Intelligence Behind Tomorrow's Cities (UK Based) London Remote-First with Quarterly In-Person Meetings Our client is a pioneering digital twin platform business, transforming urban planning across 26+ cities. They've already revolutionised how architects, planners, and developers collaborate, with 90% of London's local authorities and leading architectural firms using their platform to make smarter decisions faster. Now they need an exceptional Senior Data Scientist to architect the AI that powers it all. What You'll Actually Build Spatial Intelligence That Matters Design ML models that understand 3D space the way humans do (but faster, more accurately) Build predictive systems that help planners spot opportunities before anyone else Create AI that turns complex geospatial data into instant insights for city shapers Real-World Impact, Real-Time Deploy LLMs that make planning documentation actually readable and actionable Engineer recommendation engines that suggest optimal building placements and designs Develop automation tools that eliminate the tedious bits, freeing humans for creative problem-solving Novel Research Meets Production Reality Push the boundaries of spatial intelligence models whilst shipping features that thousands use daily Partner with external AI specialists on cutting-edge projects Transform research breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling, and semantic similarity Cloud Experience : AWS ecosystem knowledge (SageMaker, Lambda, etc.) Production Ready : ETL pipelines, version control, Agile methodologies It would be a major advantage if you have experience with: Experience with 3D/GIS domains Familiarity with Unity, Unreal, or 3D modelling tools AWS data systems (Lake Formation, RDS, DynamoDB) Spatial/temporal modelling experience Docker and AIOps practices What makes this role stand out? Technical Freedom: Work on genuinely novel problems. Most data scientists optimise ad clicks or recommend products. You'll be building the intelligence that shapes physical cities. Scale & Impact: Your models will shape how millions of people live, work, and navigate urban spaces. Cutting-Edge Stack: They're not maintaining legacy systems. You'll work with the latest AI techniques on problems that didn't exist five years ago. Elite Peer Group: Collaborate with leading architects, urban planners, and technologists who are defining the future of cities. What's In It For You Career Acceleration: As a Senior Data Scientist, you'll work on problems that define entire industries, not just optimise metrics. Your expertise will directly influence multi-million-pound urban developments. Technical Development: Push your data scientist skills into new territory. Spatial intelligence, 3D modelling, and urban planning AI are emerging fields where experienced practitioners are rare and highly valued. Market Premium: Data scientists with spatial AI expertise command significant salary premiums. You'll be building skills that are in massive demand but short supply. Professional Growth: Contribute to publications, speak at conferences, and build your reputation as a leading data scientist in the spatial intelligence space. Future-Proof Skills: Urban planning is digitising rapidly. Position yourself as the data scientist who understands this transformation from the ground up. Their Commitment to You Intellectual Growth: Stay current with emerging ML techniques and evaluate their potential for spatial intelligence Leadership Development: Mentor team members and help build a culture of technical excellence Career Trajectory: Shape both their AI strategy and your own development path Human-First Culture: They believe in having fun while building the future Next Steps If you're ready to apply AI to problems that matter? As a Senior Data Scientist ready to make your mark on the future of cities, send us your CV and we'll be in touch! Our client is transforming cities through greater understanding, collaboration and trust. Join them in turning urban possibilities into realities.
16/06/2025
Full time
Senior Data Scientist: Build the Intelligence Behind Tomorrow's Cities (UK Based) London Remote-First with Quarterly In-Person Meetings Our client is a pioneering digital twin platform business, transforming urban planning across 26+ cities. They've already revolutionised how architects, planners, and developers collaborate, with 90% of London's local authorities and leading architectural firms using their platform to make smarter decisions faster. Now they need an exceptional Senior Data Scientist to architect the AI that powers it all. What You'll Actually Build Spatial Intelligence That Matters Design ML models that understand 3D space the way humans do (but faster, more accurately) Build predictive systems that help planners spot opportunities before anyone else Create AI that turns complex geospatial data into instant insights for city shapers Real-World Impact, Real-Time Deploy LLMs that make planning documentation actually readable and actionable Engineer recommendation engines that suggest optimal building placements and designs Develop automation tools that eliminate the tedious bits, freeing humans for creative problem-solving Novel Research Meets Production Reality Push the boundaries of spatial intelligence models whilst shipping features that thousands use daily Partner with external AI specialists on cutting-edge projects Transform research breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling, and semantic similarity Cloud Experience : AWS ecosystem knowledge (SageMaker, Lambda, etc.) Production Ready : ETL pipelines, version control, Agile methodologies It would be a major advantage if you have experience with: Experience with 3D/GIS domains Familiarity with Unity, Unreal, or 3D modelling tools AWS data systems (Lake Formation, RDS, DynamoDB) Spatial/temporal modelling experience Docker and AIOps practices What makes this role stand out? Technical Freedom: Work on genuinely novel problems. Most data scientists optimise ad clicks or recommend products. You'll be building the intelligence that shapes physical cities. Scale & Impact: Your models will shape how millions of people live, work, and navigate urban spaces. Cutting-Edge Stack: They're not maintaining legacy systems. You'll work with the latest AI techniques on problems that didn't exist five years ago. Elite Peer Group: Collaborate with leading architects, urban planners, and technologists who are defining the future of cities. What's In It For You Career Acceleration: As a Senior Data Scientist, you'll work on problems that define entire industries, not just optimise metrics. Your expertise will directly influence multi-million-pound urban developments. Technical Development: Push your data scientist skills into new territory. Spatial intelligence, 3D modelling, and urban planning AI are emerging fields where experienced practitioners are rare and highly valued. Market Premium: Data scientists with spatial AI expertise command significant salary premiums. You'll be building skills that are in massive demand but short supply. Professional Growth: Contribute to publications, speak at conferences, and build your reputation as a leading data scientist in the spatial intelligence space. Future-Proof Skills: Urban planning is digitising rapidly. Position yourself as the data scientist who understands this transformation from the ground up. Their Commitment to You Intellectual Growth: Stay current with emerging ML techniques and evaluate their potential for spatial intelligence Leadership Development: Mentor team members and help build a culture of technical excellence Career Trajectory: Shape both their AI strategy and your own development path Human-First Culture: They believe in having fun while building the future Next Steps If you're ready to apply AI to problems that matter? As a Senior Data Scientist ready to make your mark on the future of cities, send us your CV and we'll be in touch! Our client is transforming cities through greater understanding, collaboration and trust. Join them in turning urban possibilities into realities.
Tenth Revolution Group
Cheltenham, Gloucestershire
Senior Data Science Consultant I am looking for a Senior Data Scientist to join a growing consultancy who specialise in Data, Cyber Security. Over the past three years they have steadily grown their teams in line with an expending client base and pipeline of projects. You will be client facing and take the lead on a number of exciting data science focused projects. You will work to understand the current data infrastructure of the specific clients before offering top-class advice on how data science can be used to drive performance. You will also be responsible for building proof of concepts designs based on your advice and presenting them to clients to enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that can be integrated into client infrastructure To be successful in this role you will have . Taken the lead on data science projects Experience working as a consultant on projects with external clients Strong Python coding experience Experience working on cloud-based infrastructure (Azure, AWS or GCP) Experience with CI/CD tooling to build and deploy code Due to the nature of this role, eligibility for SC clearance is essential This is a hybrid role based out of the organisations office in Cheltenham up to 3 times per week with the additional days working from home. Some of the benefits included in this role are. Salary up to 75,000 depending on experience 25 days annual leave plus bank holidays Employer pension contributions of 5% Private health insurance Personal training budget and 5 days annual training leave Paid for professional memberships This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP , so don't miss out, APPLY now!
16/06/2025
Full time
Senior Data Science Consultant I am looking for a Senior Data Scientist to join a growing consultancy who specialise in Data, Cyber Security. Over the past three years they have steadily grown their teams in line with an expending client base and pipeline of projects. You will be client facing and take the lead on a number of exciting data science focused projects. You will work to understand the current data infrastructure of the specific clients before offering top-class advice on how data science can be used to drive performance. You will also be responsible for building proof of concepts designs based on your advice and presenting them to clients to enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that can be integrated into client infrastructure To be successful in this role you will have . Taken the lead on data science projects Experience working as a consultant on projects with external clients Strong Python coding experience Experience working on cloud-based infrastructure (Azure, AWS or GCP) Experience with CI/CD tooling to build and deploy code Due to the nature of this role, eligibility for SC clearance is essential This is a hybrid role based out of the organisations office in Cheltenham up to 3 times per week with the additional days working from home. Some of the benefits included in this role are. Salary up to 75,000 depending on experience 25 days annual leave plus bank holidays Employer pension contributions of 5% Private health insurance Personal training budget and 5 days annual training leave Paid for professional memberships This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP , so don't miss out, APPLY now!
Senior Data Science Consultant I am looking for a Senior Data Scientist to join a growing consultancy who specialise in Data, Cyber Security. Over the past three years they have steadily grown their teams in line with an expending client base and pipeline of projects. You will be client facing and take the lead on a number of exciting data science focused projects. You will work to understand the current data infrastructure of the specific clients before offering top-class advice on how data science can be used to drive performance. You will also be responsible for building proof of concepts designs based on your advice and presenting them to clients to enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that can be integrated into client infrastructure To be successful in this role you will have . Taken the lead on data science projects Experience working as a consultant on projects with external clients Strong Python coding experience Experience working on cloud-based infrastructure (Azure, AWS or GCP) Experience with CI/CD tooling to build and deploy code Due to the nature of this role, eligibility for SC clearance is essential This is a hybrid role based out of the organisations office in Cheltenham up to 3 times per week with the additional days working from home. Some of the benefits included in this role are. Salary up to 75,000 depending on experience 25 days annual leave plus bank holidays Employer pension contributions of 5% Private health insurance Personal training budget and 5 days annual training leave Paid for professional memberships This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP , so don't miss out, APPLY now!
16/06/2025
Full time
Senior Data Science Consultant I am looking for a Senior Data Scientist to join a growing consultancy who specialise in Data, Cyber Security. Over the past three years they have steadily grown their teams in line with an expending client base and pipeline of projects. You will be client facing and take the lead on a number of exciting data science focused projects. You will work to understand the current data infrastructure of the specific clients before offering top-class advice on how data science can be used to drive performance. You will also be responsible for building proof of concepts designs based on your advice and presenting them to clients to enable them to understand your vision for improvements. As part of this role, you will be responsible for. Lead on client projects and be SME for Data Science/ML/AI Work with differing data sets and modelling them ready for use in data science practices Analyse and interpret data to help deliver insights Develop models and algorithms that can be integrated into client infrastructure To be successful in this role you will have . Taken the lead on data science projects Experience working as a consultant on projects with external clients Strong Python coding experience Experience working on cloud-based infrastructure (Azure, AWS or GCP) Experience with CI/CD tooling to build and deploy code Due to the nature of this role, eligibility for SC clearance is essential This is a hybrid role based out of the organisations office in Cheltenham up to 3 times per week with the additional days working from home. Some of the benefits included in this role are. Salary up to 75,000 depending on experience 25 days annual leave plus bank holidays Employer pension contributions of 5% Private health insurance Personal training budget and 5 days annual training leave Paid for professional memberships This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP , so don't miss out, APPLY now!
Job Title: AI Research Engineer
Location: Cambridge, UK
Salary: Competitive, depending on experience
Job Type: Full-time | Permanent
Department: Artificial Intelligence / Research & Development
Role Overview
We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment.
Education
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field.
Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent).
We would consider data science backgrounds with relevant experience.
A degree from a globally recognized institution (Top 200 Global Universities) is required.
Required Skills and Qualifications
Strong analytical and problem-solving skills with a scientific approach to experimentation.
Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation.
Solid understanding of software engineering practices, particularly in the context of ML development.
Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn.
Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Qualifications (Preferred for Senior Roles)
Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI.
Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning.
For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR).
Demonstrated impact in a commercial or applied research setting.
Experience mentoring junior engineers or leading research initiatives.
About Adecco:
Adecco operates as an Employment Agency and is an equal opportunities employer.
We are on the client's supplier list for this role.
Keywords
AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation
01/06/2025
Job Title: AI Research Engineer
Location: Cambridge, UK
Salary: Competitive, depending on experience
Job Type: Full-time | Permanent
Department: Artificial Intelligence / Research & Development
Role Overview
We are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing AI technologies and applying them to real-world challenges. You will work on cutting-edge research and development projects, contributing to both theoretical innovation and practical deployment.
Education
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related technical field.
Minimum academic requirement: 2:1 or above in undergraduate degree and AAB or higher at A-level (or international equivalent).
We would consider data science backgrounds with relevant experience.
A degree from a globally recognized institution (Top 200 Global Universities) is required.
Required Skills and Qualifications
Strong analytical and problem-solving skills with a scientific approach to experimentation.
Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation.
Solid understanding of software engineering practices, particularly in the context of ML development.
Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn.
Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure).
Qualifications (Preferred for Senior Roles)
Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI.
Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning.
For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR).
Demonstrated impact in a commercial or applied research setting.
Experience mentoring junior engineers or leading research initiatives.
About Adecco:
Adecco operates as an Employment Agency and is an equal opportunities employer.
We are on the client's supplier list for this role.
Keywords
AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation
Company Description
Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all.
Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.
We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.
Job Description
Are you passionate about solving complex quality-assurance challenges with test-automation throughout the SDLC, and at all levels of the test pyramid? As a Senior QA Engineer in the new Test Enablement team, you'll have the opportunity to work with your peers in product teams to help them solve their quality-assurance challenges.
You will build reusable testing tools and automation, help to make strategic tooling choices, establish quality-assurance Golden Paths, and work towards maturing our testing practices across the organisation. You will look at the big picture problems that come with testing complex, distributed applications in a regulated industry, and you will work to improve the reliability and speed of our software delivery through accelerated and optimised testing.
In this role, you’ll work in partnership with engineers in product squads to test and evolve common solutions. You will experiment with alternative strategies for solving problems and use data and analysis to make decisions. You will be highly confident engaging with subject matter experts and engineering leadership. You will be a curious and engaged listener, seeking to understand the root cause of testing challenges, but you will also be confident in challenging assumptions and promoting best practice. You will be actively tracking the latest developments in testing tools and techniques, always looking to learn and to bring new ideas to the business. You are confident engaging with a range of stakeholders to understand organisational needs and bring them back to the team for consideration.
Everyday responsibilities include:
Work with the rest of the Test Enablement team to identify areas of greatest need where the team can have the greatest impact
Collaborate with QA engineers in product squads to help them raise the bar in their testing practices
Explore different approaches to testing challenges, explore options and be able to identify the strengths and weaknesses of them
Create templates, tools and Golden Paths that encapsulate best practice for use deployment the organisation
Act as a trusted mentor, coach and guide to your colleagues in the team and beyond
Lead on key decisions in a collaborative and inclusive environment that values diverse perspectives
Advocate for the need to rethink and improve Quality Assurance to better serve the needs of the business and improve speed and reliability of releasesEssential skills and experience:
Python
Java
Selenium WebDriver
Unit Test frameworks (e.g. Pytest)
API testing (e.g. REST-assured, Postman)
BDD frameworks (e.g. Cucumber, Pytest-bdd, Behave)
Agile testing
CI/CD tools (GitLab/Jenkins)
Load/Performance testing (e.g. JMeter, Locust)
Experience of Test Process Improvement and Test StrategyDesirable skills and experience:
Other UI testing tools (e.g. Playwright, Cypress)
Contract testing (e.g. PACT)
Mock APIs (e.g. WireMock)
Browser compatibility tools (e.g. BrowserStack)
Test management tools (e.g. Jira X-ray)
Accessibility testing tools (e.g. Axe-core)
Security testing tools (e.g. Snyk, OWASP Zap)
AWS
Experience working in a regulated environment
Qualifications
Only relevant work experience - no particular qualifications are required
Additional Information
Salary from: £55,500
Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:
Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.
Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
Recognition & Rewards: Employee recognition programme and referral scheme.
Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace
Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.
Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.
Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to
01/06/2025
Company Description
Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all.
Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.
We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.
Job Description
Are you passionate about solving complex quality-assurance challenges with test-automation throughout the SDLC, and at all levels of the test pyramid? As a Senior QA Engineer in the new Test Enablement team, you'll have the opportunity to work with your peers in product teams to help them solve their quality-assurance challenges.
You will build reusable testing tools and automation, help to make strategic tooling choices, establish quality-assurance Golden Paths, and work towards maturing our testing practices across the organisation. You will look at the big picture problems that come with testing complex, distributed applications in a regulated industry, and you will work to improve the reliability and speed of our software delivery through accelerated and optimised testing.
In this role, you’ll work in partnership with engineers in product squads to test and evolve common solutions. You will experiment with alternative strategies for solving problems and use data and analysis to make decisions. You will be highly confident engaging with subject matter experts and engineering leadership. You will be a curious and engaged listener, seeking to understand the root cause of testing challenges, but you will also be confident in challenging assumptions and promoting best practice. You will be actively tracking the latest developments in testing tools and techniques, always looking to learn and to bring new ideas to the business. You are confident engaging with a range of stakeholders to understand organisational needs and bring them back to the team for consideration.
Everyday responsibilities include:
Work with the rest of the Test Enablement team to identify areas of greatest need where the team can have the greatest impact
Collaborate with QA engineers in product squads to help them raise the bar in their testing practices
Explore different approaches to testing challenges, explore options and be able to identify the strengths and weaknesses of them
Create templates, tools and Golden Paths that encapsulate best practice for use deployment the organisation
Act as a trusted mentor, coach and guide to your colleagues in the team and beyond
Lead on key decisions in a collaborative and inclusive environment that values diverse perspectives
Advocate for the need to rethink and improve Quality Assurance to better serve the needs of the business and improve speed and reliability of releasesEssential skills and experience:
Python
Java
Selenium WebDriver
Unit Test frameworks (e.g. Pytest)
API testing (e.g. REST-assured, Postman)
BDD frameworks (e.g. Cucumber, Pytest-bdd, Behave)
Agile testing
CI/CD tools (GitLab/Jenkins)
Load/Performance testing (e.g. JMeter, Locust)
Experience of Test Process Improvement and Test StrategyDesirable skills and experience:
Other UI testing tools (e.g. Playwright, Cypress)
Contract testing (e.g. PACT)
Mock APIs (e.g. WireMock)
Browser compatibility tools (e.g. BrowserStack)
Test management tools (e.g. Jira X-ray)
Accessibility testing tools (e.g. Axe-core)
Security testing tools (e.g. Snyk, OWASP Zap)
AWS
Experience working in a regulated environment
Qualifications
Only relevant work experience - no particular qualifications are required
Additional Information
Salary from: £55,500
Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:
Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.
Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
Recognition & Rewards: Employee recognition programme and referral scheme.
Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace
Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.
Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.
Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to
The Role: Senior Bioinformatician Location: Cambridge Salary: £60K Are you looking for a new role where you can make a difference? In need of a more stimulating and interesting role? Do you want to push the boundaries of innovation and development?Great! This might be the role for you!We have partnered with one of the most exciting life sciences businesses in the UK who is on a mission to break down barriers and deliver lifesaving medical solutions. The business is experiencing exponential growth and they are looking for a seasoned Senior Bioinformatician to join their team in Cambridge on a full-time permanent basis. As the successful candidate, you will be integral to the overall success of the operation, offering bioinformatics support for lab scientists, and drive computational projects, in areas including single-cell sequencing, machine learning, protein 3D structure, etc. On offer is a very competitive basic salary and: Benefits: Inclusive and supportive work environment Career progression opportunities Ongoing training and support Health cash plan Private medical insurance Critical illness coverage Life assurance Your Responsibilities: Provide bioinformatics support for lab scientists. Driving computational projects, using a wide range of software tools and techniques. Summarise results and graphical representation of statistical analyses. Process data generated with recent DNA sequencing technologies. Engage in bioinformatics software development projects Create web-based user interfaces Collaborating with various stakeholders to drive continuous improvement and quality. Your Skills: PhD in Bioinformatics or a related field Experience in bioinformatics software development Knowledge of Machine Learning Excellent programming skills in Python, R, and/or Java Strong analytical and problem-solving skills Ability to work independently and as part of a team Excellent communication skills To be considered for this position, please attach a copy of your most recent and up to date CV.
19/08/2023
Full time
The Role: Senior Bioinformatician Location: Cambridge Salary: £60K Are you looking for a new role where you can make a difference? In need of a more stimulating and interesting role? Do you want to push the boundaries of innovation and development?Great! This might be the role for you!We have partnered with one of the most exciting life sciences businesses in the UK who is on a mission to break down barriers and deliver lifesaving medical solutions. The business is experiencing exponential growth and they are looking for a seasoned Senior Bioinformatician to join their team in Cambridge on a full-time permanent basis. As the successful candidate, you will be integral to the overall success of the operation, offering bioinformatics support for lab scientists, and drive computational projects, in areas including single-cell sequencing, machine learning, protein 3D structure, etc. On offer is a very competitive basic salary and: Benefits: Inclusive and supportive work environment Career progression opportunities Ongoing training and support Health cash plan Private medical insurance Critical illness coverage Life assurance Your Responsibilities: Provide bioinformatics support for lab scientists. Driving computational projects, using a wide range of software tools and techniques. Summarise results and graphical representation of statistical analyses. Process data generated with recent DNA sequencing technologies. Engage in bioinformatics software development projects Create web-based user interfaces Collaborating with various stakeholders to drive continuous improvement and quality. Your Skills: PhD in Bioinformatics or a related field Experience in bioinformatics software development Knowledge of Machine Learning Excellent programming skills in Python, R, and/or Java Strong analytical and problem-solving skills Ability to work independently and as part of a team Excellent communication skills To be considered for this position, please attach a copy of your most recent and up to date CV.
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
15/08/2023
Full time
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
The Role: Senior Full Stack Developer The Team: Technology Hiring Manager: Director of Technology Hours: Full time 37.5 hours per week Location: Nottingham - Hybrid working Medichecks launched the UK's first direct-to-consumer blood testing company in the UK and created a market where there was none. As well as the continued growth of our B2C business we now see considerable opportunity to grow in the B2B and B2B2C space through our technology platform, Plasma. Our vision is to be part of everyone's journey to better health. At Medichecks we're building a healthcare platform for the future. We're a team of medics, designers, engineers and communicators who are intent on bringing our vision to life. We'd like to hear from people who want to use their skills and knowledge to improve peoples' lives and help us create real change in the way that blood testing and insights can be delivered. Purpose of Role To be part of the key team building software and devops solutions to facilitate the growth of Medicheck's business. Bring experience and knowledge in the tools and technologies used in Medicheck's tech stack to the Medichecks team and help the growth of the team using your skills and knowledge. Our Technology Team Our team have come to us from a range of backgrounds and places, from start-ups and agencies to online banks, we're looking for people that enjoy learning new things and are motivated to build new software, solve problems and do great work. We are growing fast. To help with our growth we are structuring ourselves into chapters' of expertise and working in small interdisciplinary teams on individual projects. With the freedom to learn and shift specialisms over time. Our feature teams are cross-functional. You'll be collaborating with product owners, doctors, marketers, web engineers, data scientists, business analysts, and more! Together you'll deliver feature updates that provide value and features to our customers and partners. Our Technology Stack You'll be working on greenfield projects, building our systems using the following tools and technologies: Golang for our applications and microservices Kubernetes and Docker for orchestration and containerisation AWS for our infrastructure Vue.js for our presentation layers. We know you will be keen to stay on top of new technology and our personal development approach will support you with this. Key Challenges Delivering outstanding solutions whilst maintaining strict patient confidentiality. Deliver critical results in a clear and informed manner. Innovating to make people's lives better. Job Tasks and Responsibilities This is an exciting time to join us, as we re-imagine how we work and deliver technology. You will enjoy the freedom to learn, working with some of the latest web technologies while building mission-critical applications. You must have a passion for writing solid well-structured software using modern development practices. You'll be working with the team to refine the process and technical direction, and mentor junior members of the team through the implementation and ensure best practices are maintained, solving complex problems and programming in a variety of languages. You will work on projects, ranging from maintaining our existing products to building new solutions using a variety of technologies to deliver and support web-based, microservice driven applications. Key Skills and Knowledge You will have strong experience working on the full stack of a technology product. You care about customer outcomes and are product focused. You want to make data-informed decisions. You're comfortable working in a team that deals with ambiguity. You're interested in distributed systems and writing resilient software. You will have a passion for; and understand the importance of, software patterns. You will have experience within our technical stack (Go, Vue.js, AWS, Terraform, postgreSQL.) *How we work We have adopted a flexible hybrid approach to working in both the office and at home, having seen the benefits of both for everyone during the last year. You will predominantly work from home, but sometimes we will get together to collaborate, or for 121s (minimum 1 day/month in Nottingham office). We offer flexible working around our core business hours and trust you to work enough hours to do your job well, at times that suit you and your team. Medichecks people, perks and culture We are committed to making Medichecks a great place to work and have shaped our people strategy around our colleagues' feedback. We have a great range of perks including buying/selling holidays, free stuff and discounts, access to health services and the opportunity to give back to the community.
14/08/2023
Full time
The Role: Senior Full Stack Developer The Team: Technology Hiring Manager: Director of Technology Hours: Full time 37.5 hours per week Location: Nottingham - Hybrid working Medichecks launched the UK's first direct-to-consumer blood testing company in the UK and created a market where there was none. As well as the continued growth of our B2C business we now see considerable opportunity to grow in the B2B and B2B2C space through our technology platform, Plasma. Our vision is to be part of everyone's journey to better health. At Medichecks we're building a healthcare platform for the future. We're a team of medics, designers, engineers and communicators who are intent on bringing our vision to life. We'd like to hear from people who want to use their skills and knowledge to improve peoples' lives and help us create real change in the way that blood testing and insights can be delivered. Purpose of Role To be part of the key team building software and devops solutions to facilitate the growth of Medicheck's business. Bring experience and knowledge in the tools and technologies used in Medicheck's tech stack to the Medichecks team and help the growth of the team using your skills and knowledge. Our Technology Team Our team have come to us from a range of backgrounds and places, from start-ups and agencies to online banks, we're looking for people that enjoy learning new things and are motivated to build new software, solve problems and do great work. We are growing fast. To help with our growth we are structuring ourselves into chapters' of expertise and working in small interdisciplinary teams on individual projects. With the freedom to learn and shift specialisms over time. Our feature teams are cross-functional. You'll be collaborating with product owners, doctors, marketers, web engineers, data scientists, business analysts, and more! Together you'll deliver feature updates that provide value and features to our customers and partners. Our Technology Stack You'll be working on greenfield projects, building our systems using the following tools and technologies: Golang for our applications and microservices Kubernetes and Docker for orchestration and containerisation AWS for our infrastructure Vue.js for our presentation layers. We know you will be keen to stay on top of new technology and our personal development approach will support you with this. Key Challenges Delivering outstanding solutions whilst maintaining strict patient confidentiality. Deliver critical results in a clear and informed manner. Innovating to make people's lives better. Job Tasks and Responsibilities This is an exciting time to join us, as we re-imagine how we work and deliver technology. You will enjoy the freedom to learn, working with some of the latest web technologies while building mission-critical applications. You must have a passion for writing solid well-structured software using modern development practices. You'll be working with the team to refine the process and technical direction, and mentor junior members of the team through the implementation and ensure best practices are maintained, solving complex problems and programming in a variety of languages. You will work on projects, ranging from maintaining our existing products to building new solutions using a variety of technologies to deliver and support web-based, microservice driven applications. Key Skills and Knowledge You will have strong experience working on the full stack of a technology product. You care about customer outcomes and are product focused. You want to make data-informed decisions. You're comfortable working in a team that deals with ambiguity. You're interested in distributed systems and writing resilient software. You will have a passion for; and understand the importance of, software patterns. You will have experience within our technical stack (Go, Vue.js, AWS, Terraform, postgreSQL.) *How we work We have adopted a flexible hybrid approach to working in both the office and at home, having seen the benefits of both for everyone during the last year. You will predominantly work from home, but sometimes we will get together to collaborate, or for 121s (minimum 1 day/month in Nottingham office). We offer flexible working around our core business hours and trust you to work enough hours to do your job well, at times that suit you and your team. Medichecks people, perks and culture We are committed to making Medichecks a great place to work and have shaped our people strategy around our colleagues' feedback. We have a great range of perks including buying/selling holidays, free stuff and discounts, access to health services and the opportunity to give back to the community.
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
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