About Amro Data Labs
Amro Data Labs is a specialist intelligence, AI and automation consultancy for the real estate investment and asset management sector. Our flagship client, Amro Partners, is a high-growth European real estate investment firm focused on the Living Sector.
Our team works at the intersection of data science, AI/ML, engineering, and automation to deliver institutional-grade decision infrastructure.
About the Role
We're looking for a fast-learner, early to mid-career Data Engineer to join our growing London team and help power our real estate market intelligence platform. Working alongside our Data team in our London office, you'll design and maintain the ETL pipelines, scrapers, and transformation workflows that capture millions of data points across the UK and Europe daily.
This is a hands-on engineering role: you'll be building pipelines, shipping production code, and shaping how we work with data, not just maintaining what's already there.
We operate a hybrid working model, with team members typically in our London office around 3 days a week. Exact arrangements may vary by team and manager. We're open to considering visa sponsorship for the right candidate.
Key Responsibilities
Design, build, and maintain efficient and reliable data pipelines using Python and GCP, supporting daily ingestion of rental and availability data across multiple geographies.
Develop and maintain Python-based web scrapers (Playwright, BS4).
Write and optimise SQL transformation workflows (Dataform, BigQuery) to turn raw scraper output into clean, analytics-ready datasets.
Build and maintain LLM-driven workflows within our ETL pipelines, including sensible checks for output quality, hallucination, and graceful failure.
Implement data quality and validation frameworks across our extraction and transformation layers to ensure integrity at scale.
Collaborate closely with the wider Data team and cross-functional stakeholders to support data-driven decision-making across the business.
Stay current with developments and best practices in data engineering and bring them into how we work.
Required Skills and Qualifications
Master's degree in Computer Science, Engineering, Data Science, or a related field.
3+ years of professional experience as a Data Engineer or in a closely related role.
Strong Python skills, including object-oriented programming and building production ETL/ELT pipelines. 3+ years of professional, hands-on experience is ideal.
Strong SQL skills, able to write and optimise advanced queries for transformation and analytics. 3+ years of professional, hands-on experience is ideal.
Hands-on experience with cloud data platforms. GCP (BigQuery, Cloud Storage, Cloud Run, Firestore, Dataform) is preferred, but equivalent experience on AWS or Azure is welcome. We care more about depth than the specific provider.
Experience working with web scraping libraries (Playwright, Scrapy, or similar).
Working knowledge of LLM APIs (OpenAI, Gemini, or similar) and how to integrate them into data pipelines.
Familiarity with Git, Linux, Docker, and CI/CD workflows (GitHub Actions or similar).
Experience with NoSQL datastores (Firestore or similar).
Strong problem-solving instincts and good written and verbal communication.
Experience with data testing frameworks (Pytest, Great Expectations, Dataplex).
Preferred Additional Skills
Hands-on experience with AI-assisted IDEs and LLM-powered coding tools is desired.
Experience with Terraform or other IaC tools.
Experience with data visualisation tools (Tableau, Power BI, Looker).
Familiarity with machine learning or data science concepts.
Certified GCP Data Engineer.
Experience working in a fast-paced, agile environment.
Technical Stack
You'll be working within (and contributing to) a stack that includes:
Languages & libraries: Python, SQL, YAML
GCP: BigQuery, Cloud Storage, Cloud Run Jobs/Functions, Cloud Build, Cloud Scheduler, Firestore, Dataform, Artifact Registry, Secret Manager, Dataflow, Compute Engine
DevOps & tooling: GitHub, GitHub Actions, Docker, Terraform, Linux, Pytest, Pydantic, Jira
Amro is an Equal Opportunity Employer
29/05/2026
Full time
About Amro Data Labs
Amro Data Labs is a specialist intelligence, AI and automation consultancy for the real estate investment and asset management sector. Our flagship client, Amro Partners, is a high-growth European real estate investment firm focused on the Living Sector.
Our team works at the intersection of data science, AI/ML, engineering, and automation to deliver institutional-grade decision infrastructure.
About the Role
We're looking for a fast-learner, early to mid-career Data Engineer to join our growing London team and help power our real estate market intelligence platform. Working alongside our Data team in our London office, you'll design and maintain the ETL pipelines, scrapers, and transformation workflows that capture millions of data points across the UK and Europe daily.
This is a hands-on engineering role: you'll be building pipelines, shipping production code, and shaping how we work with data, not just maintaining what's already there.
We operate a hybrid working model, with team members typically in our London office around 3 days a week. Exact arrangements may vary by team and manager. We're open to considering visa sponsorship for the right candidate.
Key Responsibilities
Design, build, and maintain efficient and reliable data pipelines using Python and GCP, supporting daily ingestion of rental and availability data across multiple geographies.
Develop and maintain Python-based web scrapers (Playwright, BS4).
Write and optimise SQL transformation workflows (Dataform, BigQuery) to turn raw scraper output into clean, analytics-ready datasets.
Build and maintain LLM-driven workflows within our ETL pipelines, including sensible checks for output quality, hallucination, and graceful failure.
Implement data quality and validation frameworks across our extraction and transformation layers to ensure integrity at scale.
Collaborate closely with the wider Data team and cross-functional stakeholders to support data-driven decision-making across the business.
Stay current with developments and best practices in data engineering and bring them into how we work.
Required Skills and Qualifications
Master's degree in Computer Science, Engineering, Data Science, or a related field.
3+ years of professional experience as a Data Engineer or in a closely related role.
Strong Python skills, including object-oriented programming and building production ETL/ELT pipelines. 3+ years of professional, hands-on experience is ideal.
Strong SQL skills, able to write and optimise advanced queries for transformation and analytics. 3+ years of professional, hands-on experience is ideal.
Hands-on experience with cloud data platforms. GCP (BigQuery, Cloud Storage, Cloud Run, Firestore, Dataform) is preferred, but equivalent experience on AWS or Azure is welcome. We care more about depth than the specific provider.
Experience working with web scraping libraries (Playwright, Scrapy, or similar).
Working knowledge of LLM APIs (OpenAI, Gemini, or similar) and how to integrate them into data pipelines.
Familiarity with Git, Linux, Docker, and CI/CD workflows (GitHub Actions or similar).
Experience with NoSQL datastores (Firestore or similar).
Strong problem-solving instincts and good written and verbal communication.
Experience with data testing frameworks (Pytest, Great Expectations, Dataplex).
Preferred Additional Skills
Hands-on experience with AI-assisted IDEs and LLM-powered coding tools is desired.
Experience with Terraform or other IaC tools.
Experience with data visualisation tools (Tableau, Power BI, Looker).
Familiarity with machine learning or data science concepts.
Certified GCP Data Engineer.
Experience working in a fast-paced, agile environment.
Technical Stack
You'll be working within (and contributing to) a stack that includes:
Languages & libraries: Python, SQL, YAML
GCP: BigQuery, Cloud Storage, Cloud Run Jobs/Functions, Cloud Build, Cloud Scheduler, Firestore, Dataform, Artifact Registry, Secret Manager, Dataflow, Compute Engine
DevOps & tooling: GitHub, GitHub Actions, Docker, Terraform, Linux, Pytest, Pydantic, Jira
Amro is an Equal Opportunity Employer
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
24/06/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
24/06/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
We are supporting a cutting edge deep tech company in London that is building full stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large scale optimisation workloads. Their technology is already deployed in multiple real world environments, and they re now entering a major growth phase as they prepare to launch their next generation system. This is a rare opportunity to work on production grade quantum classical systems , collaborating directly with physicists, hardware engineers, and platform specialists to bring advanced quantum capabilities into modern AI and data centre ecosystems. You ll join the core software team responsible for the systems layer that connects quantum hardware to classical compute infrastructure. This includes designing and optimising the software that orchestrates quantum control, manages low latency data paths, and ensures reliable operation in demanding environments. You will: Design, build, and optimise core systems software in Python (with C++ or Rust also valuable) Own critical platform components, improving latency, throughput, reliability, and operability Develop low latency interfaces between quantum hardware and classical compute systems Work closely with physicists and hardware teams to integrate new platforms (FPGAs, lasers, scientific instrumentation) from prototype to production Build and enhance CI/CD pipelines, observability tooling, and deployment workflows for on prem data centre environments Profile and optimise system performance end to end, turning bottlenecks into measurable improvements Influence architecture and technical direction through design proposals and pragmatic decision making Raise engineering quality through code reviews, testing strategy, and maintainable interfaces Collaborate cross functionally to translate customer and internal requirements into robust, production ready software Support occasional out of hours work when systems require attention (no formal on call rota) You don t need to match every bullet; the team values curiosity, motivation, and the ability to dive deep into complex systems. Strong software engineering fundamentals and experience shipping production systems Proficiency in Python , plus working knowledge of C++ or Rust Experience in one or more of, low latency systems, Linux systems programming, high performance networking, embedded development, GPU programming, and/or FPGA or hardware software integration Comfort with modern engineering practices: code review, testing, Git, CI/CD Ability to debug and profile complex systems (latency, throughput, resource utilisation) Degree in CS, EE, physics, or similar, or equivalent practical experience Experience in commercial engineering or deep tech environments For immediate consideration, please forward an up-to-date CV.
24/06/2026
Full time
We are supporting a cutting edge deep tech company in London that is building full stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large scale optimisation workloads. Their technology is already deployed in multiple real world environments, and they re now entering a major growth phase as they prepare to launch their next generation system. This is a rare opportunity to work on production grade quantum classical systems , collaborating directly with physicists, hardware engineers, and platform specialists to bring advanced quantum capabilities into modern AI and data centre ecosystems. You ll join the core software team responsible for the systems layer that connects quantum hardware to classical compute infrastructure. This includes designing and optimising the software that orchestrates quantum control, manages low latency data paths, and ensures reliable operation in demanding environments. You will: Design, build, and optimise core systems software in Python (with C++ or Rust also valuable) Own critical platform components, improving latency, throughput, reliability, and operability Develop low latency interfaces between quantum hardware and classical compute systems Work closely with physicists and hardware teams to integrate new platforms (FPGAs, lasers, scientific instrumentation) from prototype to production Build and enhance CI/CD pipelines, observability tooling, and deployment workflows for on prem data centre environments Profile and optimise system performance end to end, turning bottlenecks into measurable improvements Influence architecture and technical direction through design proposals and pragmatic decision making Raise engineering quality through code reviews, testing strategy, and maintainable interfaces Collaborate cross functionally to translate customer and internal requirements into robust, production ready software Support occasional out of hours work when systems require attention (no formal on call rota) You don t need to match every bullet; the team values curiosity, motivation, and the ability to dive deep into complex systems. Strong software engineering fundamentals and experience shipping production systems Proficiency in Python , plus working knowledge of C++ or Rust Experience in one or more of, low latency systems, Linux systems programming, high performance networking, embedded development, GPU programming, and/or FPGA or hardware software integration Comfort with modern engineering practices: code review, testing, Git, CI/CD Ability to debug and profile complex systems (latency, throughput, resource utilisation) Degree in CS, EE, physics, or similar, or equivalent practical experience Experience in commercial engineering or deep tech environments For immediate consideration, please forward an up-to-date CV.
Software Engineer / Test Specialist (SDET, Safety Critical) Oxford (Hybrid, 2 days onsite per week) Highly competitive salary, open and negotiable About the Role We are looking for a Software Engineer / Test Specialist with strong experience in safety critical systems, focused on DO-178C and Verification and Validation (V&V). This is an opportunity to join an extremely well funded and well backed startup with a clear ambition to become a leading technology player in its field. The organisation is building next generation, AI led software systems where safety, reliability and certification are critical to success. You will play a key role in ensuring that advanced, AI-enabled software meets rigorous safety standards, combining traditional SDET responsibilities with deep involvement in safety assurance and certification activities. Key Responsibilities Lead and support V&V activities aligned with DO-178C objectives Develop and execute test strategies, test plans and certification artefacts Validate and assure AI driven and software intensive systems within safety critical frameworks Design and implement automated and manual testing approaches for complex, high integrity software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits and certification processes across safety critical programmes Identify defects, risks and non compliance issues and drive resolution Essential Experience Strong experience working in DO-178C or DO-178B environments Solid understanding of V&V processes within safety critical systems Background as an SDET, Software Test Engineer or Verification Engineer in regulated industries such as aerospace, defence, automotive or rail Experience testing complex software systems, ideally including AI or data driven components Hands on experience with test automation using Python, C, C++ or similar Experience with requirements traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such as Simulink Experience with embedded systems or hardware in the loop testing Awareness of additional safety standards such as ARP4754A, ISO 26262 or IEC 61508 Working Arrangement Hybrid working with a minimum of 2 days per week onsite in Oxford. Flexible working options available. Why Join Work on genuinely safety critical, AI enabled systems with real world impact Join a highly ambitious startup with strong funding and backing Be part of a team aiming to become a leading technology player in its field Competitive and flexible salary depending on experience INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
24/06/2026
Full time
Software Engineer / Test Specialist (SDET, Safety Critical) Oxford (Hybrid, 2 days onsite per week) Highly competitive salary, open and negotiable About the Role We are looking for a Software Engineer / Test Specialist with strong experience in safety critical systems, focused on DO-178C and Verification and Validation (V&V). This is an opportunity to join an extremely well funded and well backed startup with a clear ambition to become a leading technology player in its field. The organisation is building next generation, AI led software systems where safety, reliability and certification are critical to success. You will play a key role in ensuring that advanced, AI-enabled software meets rigorous safety standards, combining traditional SDET responsibilities with deep involvement in safety assurance and certification activities. Key Responsibilities Lead and support V&V activities aligned with DO-178C objectives Develop and execute test strategies, test plans and certification artefacts Validate and assure AI driven and software intensive systems within safety critical frameworks Design and implement automated and manual testing approaches for complex, high integrity software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits and certification processes across safety critical programmes Identify defects, risks and non compliance issues and drive resolution Essential Experience Strong experience working in DO-178C or DO-178B environments Solid understanding of V&V processes within safety critical systems Background as an SDET, Software Test Engineer or Verification Engineer in regulated industries such as aerospace, defence, automotive or rail Experience testing complex software systems, ideally including AI or data driven components Hands on experience with test automation using Python, C, C++ or similar Experience with requirements traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such as Simulink Experience with embedded systems or hardware in the loop testing Awareness of additional safety standards such as ARP4754A, ISO 26262 or IEC 61508 Working Arrangement Hybrid working with a minimum of 2 days per week onsite in Oxford. Flexible working options available. Why Join Work on genuinely safety critical, AI enabled systems with real world impact Join a highly ambitious startup with strong funding and backing Be part of a team aiming to become a leading technology player in its field Competitive and flexible salary depending on experience INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
24/06/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Senior Staff Engineer (Scala or Java) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Senior Staff Engineer . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Senior Staff Engineer, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
24/06/2026
Full time
Senior Staff Engineer (Scala or Java) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Senior Staff Engineer . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Senior Staff Engineer, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.
24/06/2026
Full time
Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.
Role: AI & Automation Engineer Salary: £50,000 + package Location: Leeds or Doncaster (Hybrid - will require travel to company sites) Fruition are currently recruiting for an AI & Automation Engineer on behalf of a well-established FTSE250 organisation that is investing heavily in data, automation and AI technologies. This is an exciting opportunity to join a growing data team and play a key role in designing and delivering automation and AI-enabled solutions that improve efficiency, decision making and business performance. Working closely with IT, Data and business stakeholders, you will help identify opportunities to automate processes, improve data accessibility and apply emerging AI technologies to real-world business challenges. This role would suit someone with experience in automation, data integration or data engineering who is keen to develop their skills in AI, Microsoft Fabric and modern automation technologies within a supportive and hands-on environment. Key Responsibilities Design, build and support automation and AI-enabled solutions across the business. Develop and maintain RPA, workflow automation and system integrations. Build and consume APIs to connect systems and automate business processes. Work with Microsoft Fabric, Data Factory and related technologies to support data and automation initiatives. Collaborate with business stakeholders to identify opportunities for automation and AI adoption. Ensure solutions meet appropriate standards for data quality, governance and security. Contribute to the ongoing development of AI and automation capabilities across the organisation. Required Skills & Experience Experience with automation technologies, RPA or workflow automation tools. Understanding of data warehousing, data pipelines and system integrations. Experience building or consuming APIs. Knowledge of Microsoft technologies such as Fabric, Data Factory, Copilot or similar platforms. Understanding of data quality and governance principles. Strong problem-solving and stakeholder engagement skills. Desirable Skills Exposure to AI, machine learning or agent-based technologies. Experience with low-code/no-code platforms. Experience working within manufacturing or operational environments. Personal Attributes Curious and enthusiastic about technology and continuous learning. Practical problem solver with a hands-on approach. Strong communicator able to work with both technical and non-technical stakeholders. Collaborative, adaptable and keen to drive positive change. This is a fantastic opportunity to join an organisation that is embracing AI and automation and offers the chance to work with modern technologies while making a genuine impact across the business. Fruition are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
24/06/2026
Full time
Role: AI & Automation Engineer Salary: £50,000 + package Location: Leeds or Doncaster (Hybrid - will require travel to company sites) Fruition are currently recruiting for an AI & Automation Engineer on behalf of a well-established FTSE250 organisation that is investing heavily in data, automation and AI technologies. This is an exciting opportunity to join a growing data team and play a key role in designing and delivering automation and AI-enabled solutions that improve efficiency, decision making and business performance. Working closely with IT, Data and business stakeholders, you will help identify opportunities to automate processes, improve data accessibility and apply emerging AI technologies to real-world business challenges. This role would suit someone with experience in automation, data integration or data engineering who is keen to develop their skills in AI, Microsoft Fabric and modern automation technologies within a supportive and hands-on environment. Key Responsibilities Design, build and support automation and AI-enabled solutions across the business. Develop and maintain RPA, workflow automation and system integrations. Build and consume APIs to connect systems and automate business processes. Work with Microsoft Fabric, Data Factory and related technologies to support data and automation initiatives. Collaborate with business stakeholders to identify opportunities for automation and AI adoption. Ensure solutions meet appropriate standards for data quality, governance and security. Contribute to the ongoing development of AI and automation capabilities across the organisation. Required Skills & Experience Experience with automation technologies, RPA or workflow automation tools. Understanding of data warehousing, data pipelines and system integrations. Experience building or consuming APIs. Knowledge of Microsoft technologies such as Fabric, Data Factory, Copilot or similar platforms. Understanding of data quality and governance principles. Strong problem-solving and stakeholder engagement skills. Desirable Skills Exposure to AI, machine learning or agent-based technologies. Experience with low-code/no-code platforms. Experience working within manufacturing or operational environments. Personal Attributes Curious and enthusiastic about technology and continuous learning. Practical problem solver with a hands-on approach. Strong communicator able to work with both technical and non-technical stakeholders. Collaborative, adaptable and keen to drive positive change. This is a fantastic opportunity to join an organisation that is embracing AI and automation and offers the chance to work with modern technologies while making a genuine impact across the business. Fruition are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Contract Full Stack / Backend Engineer III - Trust & Safety Platforms Duration: 6-Month Contract (with potential for extension) Location: 100% Remote (UK-based) Inside/Outside IR35: Insert IR35 The Opportunity We are looking for a Senior Full Stack / Backend Engineer (Level III) to join the Trust & Safety / Policy Platform team for one of the world's leading, household-name audio streaming platforms. If you are a backend-heavy engineer who enjoys the autonomy of building robust APIs and crafting the internal web tools that power them, this contract is for you. What You'll Do Engineers at Scale: Build and scale the core APIs and services that expose complex policy logic across detection, enforcement, and compliance surfaces. Data & ML Pipelines: Model data for strict auditability, versioning, and efficient querying, feeding structured datasets directly into downstream machine learning models. Empower Internal Teams: Design and implement intuitive, responsive web interfaces that allow non-technical stakeholders (Legal, Operations, Trust & Safety) to author and manage content policies with robust approval workflows. Ensure Compliance: Translate global regulatory requirements into airtight engineering constraints and audit trails. What You'll Bring This is a true full-stack role with a 70% Backend / 30% Frontend split. We need someone who is equally comfortable thinking about schema evolution as they are about frontend state management. Backend Mastery: Strong production experience building high-scale services using Java, Kotlin, or Go . Modern Frontend Skills: Hands-on experience building clean, intuitive internal tooling using React and TypeScript . System Design & Integrity: Deep understanding of API design, backward compatibility, and data modeling for complex, versioned systems where stability is critical. Data Savvy: Experience working with data pipelines and a solid grasp of the trade-offs between real-time and batch processing. Mindset: An eye for usability. You know how to make high-stakes, complex workflows feel simple and foolproof for non-technical users. If you are interested in this role, please apply here or share your updated resume to (url removed) Randstad Technologies is acting as an Employment Business in relation to this vacancy.
24/06/2026
Contractor
Contract Full Stack / Backend Engineer III - Trust & Safety Platforms Duration: 6-Month Contract (with potential for extension) Location: 100% Remote (UK-based) Inside/Outside IR35: Insert IR35 The Opportunity We are looking for a Senior Full Stack / Backend Engineer (Level III) to join the Trust & Safety / Policy Platform team for one of the world's leading, household-name audio streaming platforms. If you are a backend-heavy engineer who enjoys the autonomy of building robust APIs and crafting the internal web tools that power them, this contract is for you. What You'll Do Engineers at Scale: Build and scale the core APIs and services that expose complex policy logic across detection, enforcement, and compliance surfaces. Data & ML Pipelines: Model data for strict auditability, versioning, and efficient querying, feeding structured datasets directly into downstream machine learning models. Empower Internal Teams: Design and implement intuitive, responsive web interfaces that allow non-technical stakeholders (Legal, Operations, Trust & Safety) to author and manage content policies with robust approval workflows. Ensure Compliance: Translate global regulatory requirements into airtight engineering constraints and audit trails. What You'll Bring This is a true full-stack role with a 70% Backend / 30% Frontend split. We need someone who is equally comfortable thinking about schema evolution as they are about frontend state management. Backend Mastery: Strong production experience building high-scale services using Java, Kotlin, or Go . Modern Frontend Skills: Hands-on experience building clean, intuitive internal tooling using React and TypeScript . System Design & Integrity: Deep understanding of API design, backward compatibility, and data modeling for complex, versioned systems where stability is critical. Data Savvy: Experience working with data pipelines and a solid grasp of the trade-offs between real-time and batch processing. Mindset: An eye for usability. You know how to make high-stakes, complex workflows feel simple and foolproof for non-technical users. If you are interested in this role, please apply here or share your updated resume to (url removed) Randstad Technologies is acting as an Employment Business in relation to this vacancy.
As a Computer Vision and Artificial Intelligence Engineer within the Image Processing UK department, you will play a critical role in the development of MBDA products and technologies. You will be an important member of a department that produces world-beating algorithms. Salary: Up to £62,000 depending on experience Dynamic (hybrid) working: 4-5 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity: As a Computer Vision and Artificial Intelligence Engineer, you will be an essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. You will be an important member of a department that produces world-beating algorithms that use imaging sensors to provide situational awareness, and guide weapons to their target with maximum precision. We have a detailed understanding of the interaction between missile subsystems and have a direct influence on meaningful design decisions. We are a firm supporter of equal opportunity for all, and are proud to be a diverse engineering team. Image Processing UK is an innovative, cohesive department where the contributions of each individual have real value. As part of our team you will benefit from an excellent working culture built on individual empowerment and mutual support. What we're looking for from you: Preferably PhD qualified in a related area, either holding or completing the PhD, or relevant Post-Doctoral or Industry experience would be highly beneficial A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar A keen curiosity about cutting-edge technologies and their applications Specific knowledge in any of the following areas is of benefit: Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing Machine Learning: Support Vector Machines, Neural Networks Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality You will collaborate with other engineers from a broad range of subject areas You will be working on cutting-edge technological innovations You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel You will have the opportunity to attend workshops and conferences both nationally and internationally We invest in your success and have development, leadership and mentorship programmes available Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
24/06/2026
Full time
As a Computer Vision and Artificial Intelligence Engineer within the Image Processing UK department, you will play a critical role in the development of MBDA products and technologies. You will be an important member of a department that produces world-beating algorithms. Salary: Up to £62,000 depending on experience Dynamic (hybrid) working: 4-5 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity: As a Computer Vision and Artificial Intelligence Engineer, you will be an essential team member at an exciting time of growth and opportunity. The algorithms that you will research, develop and evaluate will form part of the next generation of complex weapon systems. You will be an important member of a department that produces world-beating algorithms that use imaging sensors to provide situational awareness, and guide weapons to their target with maximum precision. We have a detailed understanding of the interaction between missile subsystems and have a direct influence on meaningful design decisions. We are a firm supporter of equal opportunity for all, and are proud to be a diverse engineering team. Image Processing UK is an innovative, cohesive department where the contributions of each individual have real value. As part of our team you will benefit from an excellent working culture built on individual empowerment and mutual support. What we're looking for from you: Preferably PhD qualified in a related area, either holding or completing the PhD, or relevant Post-Doctoral or Industry experience would be highly beneficial A degree with strong mathematical content e.g. Mathematics, Engineering (e.g. Aeronautical, Mechanical, etc), Physics, Computer Science, or similar A keen curiosity about cutting-edge technologies and their applications Specific knowledge in any of the following areas is of benefit: Image Processing Algorithms: Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms: Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques: Detection, Classification, Tracking, Siamese Networks Inverse Problems / Computational Imaging: Sparse Coding, Compressive Sensing Machine Learning: Support Vector Machines, Neural Networks Domain Specific Signal Processing: Multi/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play a key role in the development of our complex weapon systems, and gain in-depth knowledge of their design and functionality You will collaborate with other engineers from a broad range of subject areas You will be working on cutting-edge technological innovations You will have the opportunity to work within an international field that has strong links to MBDA sites in France and Germany that will provide the opportunity for European travel You will have the opportunity to attend workshops and conferences both nationally and internationally We invest in your success and have development, leadership and mentorship programmes available Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
24/06/2026
Full time
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview This role is an exciting opportunity to join us and lead the reporting and analytics capability within the Continuous Threat Exposure Management (CTEM) function. The Continuous Threat Exposure Reporting Manager is responsible for developing, automating, and delivering high-quality reporting across vulnerability management, secure configuration and attack surface management domains. This role plays a pivotal part in enabling the organisation to understand its exposure, prioritise remediation activities, and drive risk reduction at scale through data-driven insights. This is a chance to shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you'll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. Produce reporting for operational teams, engineering teams and executive stakeholders. Consolidate and correlate data from multiple platforms to create a unified and prioritised exposure view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs and governance. Prepare reporting for senior management, both inside and outside of Global Cyber Security, on risk and exposure trends. What you'll bring Essential criteria: Experience in cyber security reporting, analytics or vulnerability management. Strong understanding of vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake, Databricks or similar). Strong communication and stakeholder engagement skills. Desirable skills and experience: Knowledge of machine learning, artificial intelligence or advanced analytics. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package , including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We ' re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
Locations Guildford, Surrey, United Kingdom Stockholm, Stockholm County, Sweden Studio / Department CT - Frostbite Work Model Hybrid Description & Requirements Electronic Arts creates next level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Frostbite is EA's proprietary game engine. Its versatile tools and cutting edge technology power creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield. By joining Frostbite, you'll be at the forefront of game engine innovation, collaborating with top tier developers to push the boundaries of interactive realism and immersive gameplay. We are looking for a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities Design, build, and maintain robust end to end solutions for running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write clean, well documented, and well tested code that integrates smoothly with existing systems. Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through continuous learning and by attending internal and external conferences. Be an enthusiastic contributor to Frostbite's and EA's ML/AI communities - sharing your knowledge, collaborating with partners, and mentoring teammates along the way. Qualifications 7+ years of hands on software engineering experience with C++, including expertise in multithreading and low level/near hardware optimizations. Good knowledge of GPU programming. Proficient in debugging, profiling, and optimizing real time software. Solid understanding and practice of software engineering fundamentals, such as version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile. BSc or MSc degree in Computer Science, Engineering, Mathematics, or equivalent professional experience. Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones. Nice to have Experience with implementing software tools to optimize code. Knowledge of ML frameworks such as PyTorch or TensorFlow. Knowledge of the ONNX format. Experience building, debugging, and shipping end to end ML systems in real world production environments. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
24/06/2026
Full time
Locations Guildford, Surrey, United Kingdom Stockholm, Stockholm County, Sweden Studio / Department CT - Frostbite Work Model Hybrid Description & Requirements Electronic Arts creates next level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Frostbite is EA's proprietary game engine. Its versatile tools and cutting edge technology power creation on some of the world's most iconic games, including titles from EA SPORTS and Battlefield. By joining Frostbite, you'll be at the forefront of game engine innovation, collaborating with top tier developers to push the boundaries of interactive realism and immersive gameplay. We are looking for a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities Design, build, and maintain robust end to end solutions for running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write clean, well documented, and well tested code that integrates smoothly with existing systems. Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through continuous learning and by attending internal and external conferences. Be an enthusiastic contributor to Frostbite's and EA's ML/AI communities - sharing your knowledge, collaborating with partners, and mentoring teammates along the way. Qualifications 7+ years of hands on software engineering experience with C++, including expertise in multithreading and low level/near hardware optimizations. Good knowledge of GPU programming. Proficient in debugging, profiling, and optimizing real time software. Solid understanding and practice of software engineering fundamentals, such as version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile. BSc or MSc degree in Computer Science, Engineering, Mathematics, or equivalent professional experience. Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones. Nice to have Experience with implementing software tools to optimize code. Knowledge of ML frameworks such as PyTorch or TensorFlow. Knowledge of the ONNX format. Experience building, debugging, and shipping end to end ML systems in real world production environments. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, colour, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Azure Infrastructure Engineer - 12 month fixed term contract We are looking for an experienced Azure Infrastructure engineer who enjoys a challenge at an ever-growing technology focused business. You will play a key role in supporting the business to implement solutions that provide benefits to our users and clients, whilst ensuring all the existing solutions are well maintained and supported. This role is a 12 month fixed term contract and can be based in our Birmingham, Croydon or Belfast City centre office with a hybrid workstyle. What does the role entail? Maintaining and implementing new solutions within Isio's Azure tenants, ensuring alerts are handled, virtual machines are maintained, new resources are set up to best practise etc. Implementation and maintenance of Automation tooling to improve efficiency of deployments, maintenance tasks and any other recurring activities. Implementation and maintenance of Monitoring tooling such as DataDog to report on performance and availability of systems across multiple tenants. Maintaining and implementing new solutions within Isio's M365 stack including Entra, Intune, M365 Admin Portal, Defender. Aid with improving the security posture of the business by ensuring security standards are met, that everything is set up to best practise, assisting with providing information for audits to renew and new accreditations. Working on varying different small to large projects to implement new solutions and improve existing ones within the IT stack. Working with the service desk as an escalation point, to highlight key issues and tackle root causes of issues that arise. Ensuring implemented resources are fully documented in Confluence or equivalent documentation tool. What we're looking for? Essential: Strong proven knowledge of Azure services such as Entra ID, App Services, Storage, Backups, Conditional Access, Front Door, Load Balancers. Experience with O365 Suite Administration, Intune & Defender for Endpoint. Experience with Amazon Web Services (AWS) hosting suite. Strong experience of using tools to automate regular activities (e.g. Tines, N8N, Zapier, Power Automate, PowerShell) Use of Azure DevOps (or similar tools) to deploy Infrastructure As Code into Azure - experience with ARM or Bicep templates and YAML pipelines. Experience of cloud native/serverless components hosted in Microsoft Azure including containerisation and App Service Plans. Strong system monitoring tooling experience to identify and troubleshoot problems with performance and availability. Ability to communicate with stakeholders effectively that have varying levels of technical knowledge. Great communication and problem-solving skills with the ability to work under pressure. Strong technical knowledge with an aptitude for learning. Strong documentation skills to ensure all solutions are documented to a high standard. Self motivated individual with the ability to complete tasks independently and as part of a team. Change management experience. Desirable: Experience of Windows server administration - Active directory, DNS, IIS, Update Management, Performance troubleshooting through methods such as log analysis. Familiarity with security and compliance standards, e.g. Experience working in an ISO 27001 certified environment SharePoint online experience Familiarity with mail flow and security solutions such as ProofPoint and ONDMARC Experience working in a regulated industry, e.g. telecoms, financial services, utilities. Experience of Jira & Confluence for work management & documentation Networking experience - LAN/WAN/SDWAN/Azure networking such as routing, firewalls, network peering etc. Microsoft certifications relating to Infrastructure within Azure. Experience of configuration management database tooling. Isio Group is an equal opportunities employer, and we welcome applications from all suitably qualified candidates. If you think you may require a reasonable adjustment to be made for any reason at any stage of your recruitment process, please ask us .
24/06/2026
Full time
Azure Infrastructure Engineer - 12 month fixed term contract We are looking for an experienced Azure Infrastructure engineer who enjoys a challenge at an ever-growing technology focused business. You will play a key role in supporting the business to implement solutions that provide benefits to our users and clients, whilst ensuring all the existing solutions are well maintained and supported. This role is a 12 month fixed term contract and can be based in our Birmingham, Croydon or Belfast City centre office with a hybrid workstyle. What does the role entail? Maintaining and implementing new solutions within Isio's Azure tenants, ensuring alerts are handled, virtual machines are maintained, new resources are set up to best practise etc. Implementation and maintenance of Automation tooling to improve efficiency of deployments, maintenance tasks and any other recurring activities. Implementation and maintenance of Monitoring tooling such as DataDog to report on performance and availability of systems across multiple tenants. Maintaining and implementing new solutions within Isio's M365 stack including Entra, Intune, M365 Admin Portal, Defender. Aid with improving the security posture of the business by ensuring security standards are met, that everything is set up to best practise, assisting with providing information for audits to renew and new accreditations. Working on varying different small to large projects to implement new solutions and improve existing ones within the IT stack. Working with the service desk as an escalation point, to highlight key issues and tackle root causes of issues that arise. Ensuring implemented resources are fully documented in Confluence or equivalent documentation tool. What we're looking for? Essential: Strong proven knowledge of Azure services such as Entra ID, App Services, Storage, Backups, Conditional Access, Front Door, Load Balancers. Experience with O365 Suite Administration, Intune & Defender for Endpoint. Experience with Amazon Web Services (AWS) hosting suite. Strong experience of using tools to automate regular activities (e.g. Tines, N8N, Zapier, Power Automate, PowerShell) Use of Azure DevOps (or similar tools) to deploy Infrastructure As Code into Azure - experience with ARM or Bicep templates and YAML pipelines. Experience of cloud native/serverless components hosted in Microsoft Azure including containerisation and App Service Plans. Strong system monitoring tooling experience to identify and troubleshoot problems with performance and availability. Ability to communicate with stakeholders effectively that have varying levels of technical knowledge. Great communication and problem-solving skills with the ability to work under pressure. Strong technical knowledge with an aptitude for learning. Strong documentation skills to ensure all solutions are documented to a high standard. Self motivated individual with the ability to complete tasks independently and as part of a team. Change management experience. Desirable: Experience of Windows server administration - Active directory, DNS, IIS, Update Management, Performance troubleshooting through methods such as log analysis. Familiarity with security and compliance standards, e.g. Experience working in an ISO 27001 certified environment SharePoint online experience Familiarity with mail flow and security solutions such as ProofPoint and ONDMARC Experience working in a regulated industry, e.g. telecoms, financial services, utilities. Experience of Jira & Confluence for work management & documentation Networking experience - LAN/WAN/SDWAN/Azure networking such as routing, firewalls, network peering etc. Microsoft certifications relating to Infrastructure within Azure. Experience of configuration management database tooling. Isio Group is an equal opportunities employer, and we welcome applications from all suitably qualified candidates. If you think you may require a reasonable adjustment to be made for any reason at any stage of your recruitment process, please ask us .
C++ AI/ML Software Engineer C++ AI/ML Software Engineer - HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will design, develop, and optimise AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection and intelligent threat prevention. You will work as part of a highly collaborative engineering team, bridging the gap between cutting edge machine learning research and production grade security software. We offer a comprehensive benefits package and excellent career development opportunities. Visit our technical blogs: Responsibilities Design, develop and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability and resource utilisation on endpoint devices. Develop data processing, evaluation and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Requirements Strong proficiency in modern C++ design, development, debugging, testing and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving and software engineering skills. Experience working with Python for machine learning workflows, automation or tooling. Understanding of software development lifecycle, testing methodologies and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering or equivalent experience. Exposure to machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime or similar. Experience with AI model deployment, optimisation and inference in production environments. Experience with data processing, feature engineering and model evaluation techniques. Experience or understanding of security, cybersecurity or threat detection applications of AI/ML. Experience with Large Language Models, Generative AI or AI assisted security technologies. High performance, multi threaded or systems level C++ development experience. Experience with cloud based AI/ML services and MLOps practices. Linux and Windows platform development experience. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. Regular in person collaboration is encouraged. Benefits We offer a comprehensive benefits package and excellent career development opportunities. Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, colour, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state and local law(s). You will not be subject to any adverse treatment if you choose to disclose the information requested. This information is kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law.
24/06/2026
Full time
C++ AI/ML Software Engineer C++ AI/ML Software Engineer - HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will design, develop, and optimise AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection and intelligent threat prevention. You will work as part of a highly collaborative engineering team, bridging the gap between cutting edge machine learning research and production grade security software. We offer a comprehensive benefits package and excellent career development opportunities. Visit our technical blogs: Responsibilities Design, develop and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability and resource utilisation on endpoint devices. Develop data processing, evaluation and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Requirements Strong proficiency in modern C++ design, development, debugging, testing and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving and software engineering skills. Experience working with Python for machine learning workflows, automation or tooling. Understanding of software development lifecycle, testing methodologies and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering or equivalent experience. Exposure to machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime or similar. Experience with AI model deployment, optimisation and inference in production environments. Experience with data processing, feature engineering and model evaluation techniques. Experience or understanding of security, cybersecurity or threat detection applications of AI/ML. Experience with Large Language Models, Generative AI or AI assisted security technologies. High performance, multi threaded or systems level C++ development experience. Experience with cloud based AI/ML services and MLOps practices. Linux and Windows platform development experience. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. Regular in person collaboration is encouraged. Benefits We offer a comprehensive benefits package and excellent career development opportunities. Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, colour, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state and local law(s). You will not be subject to any adverse treatment if you choose to disclose the information requested. This information is kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law.
Job Information Ebbsfleet, Kent, UK Job Type : Full Time Hybrid Permanent Job Location : Ebbsfleet, Kent, UK ROLE OBJECTIVE As part of our continued UK growth, we are looking for a Data Engineer to join our delivery team on a permanent basis. We are looking for a Data Engineer with strong data architecture and integration experience to help design, review and improve data platforms for our clients. This role requires someone who can look at data holistically across systems, reviewing data architecture, data flows and data mappings to ensure data is structured, integrated and used effectively across the organisation. You will work closely with architects, developers and client stakeholders to assess existing environments, identify improvements and help implement modern, scalable data solutions. The role is hybrid, with remote working as standard and occasional on-site work in Kent depending on project requirements. Key Responsibilities Review and assess existing data architectures and data platforms Analyze data flows, integrations and system dependencies Review and improve data mapping across systems and applications Design and implement scalable data pipelines and data integration solutions Support the development of data models and modern data platforms Ensure data structures support operational, reporting and analytical needs Identify opportunities to improve data quality, governance and consistency Support integration between enterprise systems, cloud platforms and APIs Work collaboratively with architects, engineers and client stakeholders Contribute to technical documentation, standards and best practices Required Skills & Experience Experience reviewing data architecture across multiple systems Strong understanding of data mapping, transformation and integration Experience building or maintaining ETL / ELT data pipelines Strong SQL and data modelling skills Experience working with cloud platforms such as Microsoft Azure or AWS Understanding of enterprise system integration and API-based data services Ability to analyse systems and take a holistic view of organisational data Comfortable working in client-facing or consulting environments Experience with some of the following technologies is beneficial: Microsoft Fabric AWS data services such as Glue, Redshift, S3 or Lambda Development & Integration .NET / C# development for integrations and data services Experience building APIs and integration services Data transformation and orchestration tools Basic Python knowledge (desirable but not essential) Analytics & Reporting Power BI Enterprise analytics or reporting platforms Desirable Skills - AI & Advanced Data We are particularly interested in candidates who have exposure to: Preparing data platforms for AI or advanced analytics Supporting AI or machine learning data pipelines Experience with Azure AI services or AI-enabled data platforms Working with large-scale data platforms or lakehouse architectures BENEFITS We prioritise employee well being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth. Competitive Salary: Salary depending on experience and background. Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings. Education Benefits: Learning Courses, Business Skills Training. Offered only to employees based in the UK. Unfortunately, we aren't able to offer sponsorship for this role.
24/06/2026
Full time
Job Information Ebbsfleet, Kent, UK Job Type : Full Time Hybrid Permanent Job Location : Ebbsfleet, Kent, UK ROLE OBJECTIVE As part of our continued UK growth, we are looking for a Data Engineer to join our delivery team on a permanent basis. We are looking for a Data Engineer with strong data architecture and integration experience to help design, review and improve data platforms for our clients. This role requires someone who can look at data holistically across systems, reviewing data architecture, data flows and data mappings to ensure data is structured, integrated and used effectively across the organisation. You will work closely with architects, developers and client stakeholders to assess existing environments, identify improvements and help implement modern, scalable data solutions. The role is hybrid, with remote working as standard and occasional on-site work in Kent depending on project requirements. Key Responsibilities Review and assess existing data architectures and data platforms Analyze data flows, integrations and system dependencies Review and improve data mapping across systems and applications Design and implement scalable data pipelines and data integration solutions Support the development of data models and modern data platforms Ensure data structures support operational, reporting and analytical needs Identify opportunities to improve data quality, governance and consistency Support integration between enterprise systems, cloud platforms and APIs Work collaboratively with architects, engineers and client stakeholders Contribute to technical documentation, standards and best practices Required Skills & Experience Experience reviewing data architecture across multiple systems Strong understanding of data mapping, transformation and integration Experience building or maintaining ETL / ELT data pipelines Strong SQL and data modelling skills Experience working with cloud platforms such as Microsoft Azure or AWS Understanding of enterprise system integration and API-based data services Ability to analyse systems and take a holistic view of organisational data Comfortable working in client-facing or consulting environments Experience with some of the following technologies is beneficial: Microsoft Fabric AWS data services such as Glue, Redshift, S3 or Lambda Development & Integration .NET / C# development for integrations and data services Experience building APIs and integration services Data transformation and orchestration tools Basic Python knowledge (desirable but not essential) Analytics & Reporting Power BI Enterprise analytics or reporting platforms Desirable Skills - AI & Advanced Data We are particularly interested in candidates who have exposure to: Preparing data platforms for AI or advanced analytics Supporting AI or machine learning data pipelines Experience with Azure AI services or AI-enabled data platforms Working with large-scale data platforms or lakehouse architectures BENEFITS We prioritise employee well being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth. Competitive Salary: Salary depending on experience and background. Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings. Education Benefits: Learning Courses, Business Skills Training. Offered only to employees based in the UK. Unfortunately, we aren't able to offer sponsorship for this role.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Platform Engineer at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job Responsibilities Develops secure high-quality production code, and reviews and debugs code written by others Develops composable infrastructure systems and capabilities Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Provide operational support for production systems in a "you-build-it-you-run-it" culture, including incident response and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Designs, builds, and operates Kubernetes-based platform services, automates developer self-service and CI/CD, improves reliability and operational readiness, and strengthens platform security and controls via IaC, policy-as-code, and hardening standards. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), such as Go, Java or Kotlin Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure Preferred Qualifications, Capabilities, and Skills Expertise in the Kubernetes operator pattern Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent Experience with GitOps workflows We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants's and employees's religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
24/06/2026
Full time
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Platform Engineer at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job Responsibilities Develops secure high-quality production code, and reviews and debugs code written by others Develops composable infrastructure systems and capabilities Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Provide operational support for production systems in a "you-build-it-you-run-it" culture, including incident response and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Designs, builds, and operates Kubernetes-based platform services, automates developer self-service and CI/CD, improves reliability and operational readiness, and strengthens platform security and controls via IaC, policy-as-code, and hardening standards. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect Hands on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), such as Go, Java or Kotlin Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure Preferred Qualifications, Capabilities, and Skills Expertise in the Kubernetes operator pattern Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent Experience with GitOps workflows We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants's and employees's religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Client360 - Senior Associate You enjoy shaping the future of product innovation, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. We foster a collaborative environment where your ideas drive progress, and your growth is our priority. As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence. As a Product Senior Associate in Data, Digital & AI, you will help translate business needs into well-defined delivery artifacts and coordinate cross functional execution across product, technology, operations, and business stakeholders. You will contribute to scalable, resilient, and stable product capabilities by driving disciplined requirements, backlog hygiene, end to end testing coordination, and operational readiness practices. This role is hands on and execution oriented, designed for a strong operator who can move work forward in a highly matrixed environment. Operating within Client360, you support the delivery of priority initiatives that improve operational effectiveness and business adoption. You partner with product, technology, and business leaders to implement data and AI enabled commercial solutions for executives, team leads, and frontline bankers. Your work helps define the business experience, focusing on process optimization, data driven insights, and stakeholder satisfaction. Job Responsibilities Partner closely with Product Owners to support discovery and delivery by converting stakeholder needs into clear, actionable requirements that enable development teams to execute efficiently Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition. Support building the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability. Participate in planning, execution, risk management, and delivery of business programs focused on process improvement and operational efficiency. Collaborate with engineering, operations, and business teams to maintain and enhance processes and platforms. Assist in establishing and monitoring key performance indicators to ensure measurable business value. Leverage analytics, including machine learning and AI, to derive actionable business insights. Understand internal team needs and anticipate future requirements, collaborating across Markets, Payments, Global Banking, and Private Bank. Reuired qualifications, capabilities and skills 5+ years of experience or equivalent expertise delivering business initiatives, projects, or transformation programs. Ability to deal with different stakeholder groups to elicit business requirements, processes and data trends. Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management. Strong knowledge of business process improvement, strategic planning, and data analytics. Excellent oral and written communication and presentations skills across various stakeholders and senior management; ability to synthesize large amounts of information, summarize key concepts and articulate relevant issues. Highly collaborative, detail oriented, and proactive; capable of managing multiple workstreams under tight deadlines while maintaining quality and follow through with minimal oversight. Experience supporting change and managing stakeholders across multiple functions. Track record of contributing to large scale business integration and analytics projects. Understanding of business integration techniques, data governance, regulatory compliance, and operational risk management. Customer centric mindset with ability to prioritize and deliver stakeholder needs. Experience working with cross functional teams to drive business innovation. Excellent problem solving skills and strategic thinking. Strong communication and interpersonal skills, able to present complex concepts to technical and non technical audiences. Experience with emerging technologies and best practices in business analytics and CRM. Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization. Experience in business process management, CRM systems, or related fields within a financial institution. Bachelor's degree in Business, Data Science, or a related field; advanced degree preferred. Experience in ensuring customers and stakeholders are engaged and positive about delivered initiatives
24/06/2026
Full time
Client360 - Senior Associate You enjoy shaping the future of product innovation, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. We foster a collaborative environment where your ideas drive progress, and your growth is our priority. As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence. As a Product Senior Associate in Data, Digital & AI, you will help translate business needs into well-defined delivery artifacts and coordinate cross functional execution across product, technology, operations, and business stakeholders. You will contribute to scalable, resilient, and stable product capabilities by driving disciplined requirements, backlog hygiene, end to end testing coordination, and operational readiness practices. This role is hands on and execution oriented, designed for a strong operator who can move work forward in a highly matrixed environment. Operating within Client360, you support the delivery of priority initiatives that improve operational effectiveness and business adoption. You partner with product, technology, and business leaders to implement data and AI enabled commercial solutions for executives, team leads, and frontline bankers. Your work helps define the business experience, focusing on process optimization, data driven insights, and stakeholder satisfaction. Job Responsibilities Partner closely with Product Owners to support discovery and delivery by converting stakeholder needs into clear, actionable requirements that enable development teams to execute efficiently Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition. Support building the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability. Participate in planning, execution, risk management, and delivery of business programs focused on process improvement and operational efficiency. Collaborate with engineering, operations, and business teams to maintain and enhance processes and platforms. Assist in establishing and monitoring key performance indicators to ensure measurable business value. Leverage analytics, including machine learning and AI, to derive actionable business insights. Understand internal team needs and anticipate future requirements, collaborating across Markets, Payments, Global Banking, and Private Bank. Reuired qualifications, capabilities and skills 5+ years of experience or equivalent expertise delivering business initiatives, projects, or transformation programs. Ability to deal with different stakeholder groups to elicit business requirements, processes and data trends. Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management. Strong knowledge of business process improvement, strategic planning, and data analytics. Excellent oral and written communication and presentations skills across various stakeholders and senior management; ability to synthesize large amounts of information, summarize key concepts and articulate relevant issues. Highly collaborative, detail oriented, and proactive; capable of managing multiple workstreams under tight deadlines while maintaining quality and follow through with minimal oversight. Experience supporting change and managing stakeholders across multiple functions. Track record of contributing to large scale business integration and analytics projects. Understanding of business integration techniques, data governance, regulatory compliance, and operational risk management. Customer centric mindset with ability to prioritize and deliver stakeholder needs. Experience working with cross functional teams to drive business innovation. Excellent problem solving skills and strategic thinking. Strong communication and interpersonal skills, able to present complex concepts to technical and non technical audiences. Experience with emerging technologies and best practices in business analytics and CRM. Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization. Experience in business process management, CRM systems, or related fields within a financial institution. Bachelor's degree in Business, Data Science, or a related field; advanced degree preferred. Experience in ensuring customers and stakeholders are engaged and positive about delivered initiatives
Who We Are Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively. Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top tier private equity firms New Mountain Capital and Endicott Capital-a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients. This role is hybrid and based in London, with regular on site presence required 2 3 days per week. Candidates must be located within commuting distance of our London office. Why You Should Join Us Our data science team works with one of the most distinctive datasets in the food and beverage industry: deep, longitudinal operator data spanning years of menu, concept, and market behaviour across global markets. The EMEA region is a growth priority for Datassential, and this role sits at the centre of how we build and deliver intelligence for that market. You will have the rare combination of genuine domain depth to draw on, a wealth of historical data to work with, and a direct line to how your outputs reach customers through our sales intelligence platform. We are passionate about data, committed to doing the work well, and have a "we can do anything" attitude. We value work life balance, and you will be joining a team and company that wants you to grow. What We Need We are seeking a full time Data Scientist to join our EMEA team, focused on building the derivative data elements and modelled insights that power our global sales intelligence platform. You will work across a variety of existing data sources- as well as newly acquired data-applying statistical analysis and machine learning to extract signals that our customers cannot get anywhere else. This is not a research only role. You will own your models from initial design through to operationalisation, working with our data pipeline team to ensure outputs are integrated reliably into production. You will also collaborate with and provide mentorship to other data scientists on the global team, helping to raise the overall quality and consistency of modelling practices across the company. Who You Are A rigorous data scientist who is equally comfortable developing models and seeing them through to production grade outputs Energised by the challenge of building on rich longitudinal data to surface insights that genuinely change how businesses think about food and foodservice Fluent in modern ML and AI techniques-and honest about when a simpler statistical approach is the right one Curious about the foodservice industry and motivated by the idea that your models will directly inform strategic decisions for some of the world's largest food and beverage brands Comfortable working across the full modelling lifecycle: from hypothesis and feature engineering through validation, iteration, and handoff into production pipelines A collaborative partner who can communicate model logic, assumptions, and limitations clearly to non technical stakeholders Willing to mentor and share knowledge-you make the people around you better Automation and reproducibility are always front of mind What You Will Do Design, develop, and validate statistical models and machine learning solutions that generate derivative data elements and insights for the EMEA sales intelligence platform Work across diverse data sources-including operator, menu, concept, and market data-to identify signals, build features, and produce modelled outputs that enrich our core datasets Own the full modelling lifecycle: problem framing, data exploration, feature engineering, model selection, validation, iteration, and operationalisation Collaborate with the data pipeline team to integrate model outputs into production Alteryx workflows, ensuring reliable, repeatable delivery of scored and derived data Apply current ML and AI techniques appropriately-including where LLM based approaches can augment traditional modelling-while maintaining rigorous statistical standards Leverage Datassential's broad based and longitudinal foodservice dataset to build models that benefit from historical depth and evolve as new data is acquired Translate complex modelling outputs into clear, actionable insights for internal stakeholders and, where appropriate, for customer facing intelligence products Contribute to the development of reusable modelling frameworks and standards that can be applied consistently across EMEA data products Provide technical guidance to other data scientists on the team, supporting their growth in modelling rigour and best practice Collaborate with Sales, Product, and Client teams to understand the intelligence needs of EMEA customers and translate them into modelling priorities Stay current with relevant advances in ML, AI, and statistical methodology-and make grounded judgements about when new approaches are worth adopting Document model design decisions, assumptions, validation results, and known limitations in a way that supports maintainability and auditability Work with global data science colleagues to ensure EMEA modelling approaches are consistent with and complementary to the broader platform What You Bring 5+ years of experience in data science, quantitative modelling, or a closely related role, with a track record of taking models from development to production Strong proficiency in Python for data science work: data manipulation, feature engineering, model development, and validation (pandas, scikit learn, and equivalent libraries) Strong SQL skills across one or more environments Demonstrated command of statistical fundamentals: regression, classification, clustering, time series analysis, hypothesis testing, and model evaluation Hands on experience with modern ML techniques and the judgement to select the right approach for a given problem Experience operationalising models-not just building them-including handoff into production data pipelines Familiarity with LLM based approaches and where they complement or augment traditional modelling Ability to communicate model logic, assumptions, and outputs clearly to both technical and non technical audiences Experience working with longitudinal or time series datasets where historical depth is a modelling asset Minimum of BA/BS in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or equivalent); advanced degree preferred Ability to work effectively across time zones in a remote first, globally distributed team Nice to Have Domain experience in foodservice, food & beverage, hospitality, or adjacent consumer industries Experience with geospatial modelling or market level aggregation and scoring Familiarity with Alteryx or other low code ETL environments and how model outputs are integrated into pipeline based delivery Experience building or contributing to sales intelligence, lead scoring, or market segmentation products Familiarity with experiment design and A/B testing frameworks Familiarity with project management tools such as Jira/Confluence Our Table Welcomes All We embrace diversity of both background and thought and foster an inclusive environment that extends an open landscape of opportunities to everyone. We invite each of us to simply be ourselves. We operate with respect and without judgment, celebrating both the power of the individual as well as our shared humanity. If you require reasonable accommodation to complete a job application, pre employment testing, or a job interview or to otherwise participate in the hiring process, please contact .
24/06/2026
Full time
Who We Are Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively. Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top tier private equity firms New Mountain Capital and Endicott Capital-a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients. This role is hybrid and based in London, with regular on site presence required 2 3 days per week. Candidates must be located within commuting distance of our London office. Why You Should Join Us Our data science team works with one of the most distinctive datasets in the food and beverage industry: deep, longitudinal operator data spanning years of menu, concept, and market behaviour across global markets. The EMEA region is a growth priority for Datassential, and this role sits at the centre of how we build and deliver intelligence for that market. You will have the rare combination of genuine domain depth to draw on, a wealth of historical data to work with, and a direct line to how your outputs reach customers through our sales intelligence platform. We are passionate about data, committed to doing the work well, and have a "we can do anything" attitude. We value work life balance, and you will be joining a team and company that wants you to grow. What We Need We are seeking a full time Data Scientist to join our EMEA team, focused on building the derivative data elements and modelled insights that power our global sales intelligence platform. You will work across a variety of existing data sources- as well as newly acquired data-applying statistical analysis and machine learning to extract signals that our customers cannot get anywhere else. This is not a research only role. You will own your models from initial design through to operationalisation, working with our data pipeline team to ensure outputs are integrated reliably into production. You will also collaborate with and provide mentorship to other data scientists on the global team, helping to raise the overall quality and consistency of modelling practices across the company. Who You Are A rigorous data scientist who is equally comfortable developing models and seeing them through to production grade outputs Energised by the challenge of building on rich longitudinal data to surface insights that genuinely change how businesses think about food and foodservice Fluent in modern ML and AI techniques-and honest about when a simpler statistical approach is the right one Curious about the foodservice industry and motivated by the idea that your models will directly inform strategic decisions for some of the world's largest food and beverage brands Comfortable working across the full modelling lifecycle: from hypothesis and feature engineering through validation, iteration, and handoff into production pipelines A collaborative partner who can communicate model logic, assumptions, and limitations clearly to non technical stakeholders Willing to mentor and share knowledge-you make the people around you better Automation and reproducibility are always front of mind What You Will Do Design, develop, and validate statistical models and machine learning solutions that generate derivative data elements and insights for the EMEA sales intelligence platform Work across diverse data sources-including operator, menu, concept, and market data-to identify signals, build features, and produce modelled outputs that enrich our core datasets Own the full modelling lifecycle: problem framing, data exploration, feature engineering, model selection, validation, iteration, and operationalisation Collaborate with the data pipeline team to integrate model outputs into production Alteryx workflows, ensuring reliable, repeatable delivery of scored and derived data Apply current ML and AI techniques appropriately-including where LLM based approaches can augment traditional modelling-while maintaining rigorous statistical standards Leverage Datassential's broad based and longitudinal foodservice dataset to build models that benefit from historical depth and evolve as new data is acquired Translate complex modelling outputs into clear, actionable insights for internal stakeholders and, where appropriate, for customer facing intelligence products Contribute to the development of reusable modelling frameworks and standards that can be applied consistently across EMEA data products Provide technical guidance to other data scientists on the team, supporting their growth in modelling rigour and best practice Collaborate with Sales, Product, and Client teams to understand the intelligence needs of EMEA customers and translate them into modelling priorities Stay current with relevant advances in ML, AI, and statistical methodology-and make grounded judgements about when new approaches are worth adopting Document model design decisions, assumptions, validation results, and known limitations in a way that supports maintainability and auditability Work with global data science colleagues to ensure EMEA modelling approaches are consistent with and complementary to the broader platform What You Bring 5+ years of experience in data science, quantitative modelling, or a closely related role, with a track record of taking models from development to production Strong proficiency in Python for data science work: data manipulation, feature engineering, model development, and validation (pandas, scikit learn, and equivalent libraries) Strong SQL skills across one or more environments Demonstrated command of statistical fundamentals: regression, classification, clustering, time series analysis, hypothesis testing, and model evaluation Hands on experience with modern ML techniques and the judgement to select the right approach for a given problem Experience operationalising models-not just building them-including handoff into production data pipelines Familiarity with LLM based approaches and where they complement or augment traditional modelling Ability to communicate model logic, assumptions, and outputs clearly to both technical and non technical audiences Experience working with longitudinal or time series datasets where historical depth is a modelling asset Minimum of BA/BS in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or equivalent); advanced degree preferred Ability to work effectively across time zones in a remote first, globally distributed team Nice to Have Domain experience in foodservice, food & beverage, hospitality, or adjacent consumer industries Experience with geospatial modelling or market level aggregation and scoring Familiarity with Alteryx or other low code ETL environments and how model outputs are integrated into pipeline based delivery Experience building or contributing to sales intelligence, lead scoring, or market segmentation products Familiarity with experiment design and A/B testing frameworks Familiarity with project management tools such as Jira/Confluence Our Table Welcomes All We embrace diversity of both background and thought and foster an inclusive environment that extends an open landscape of opportunities to everyone. We invite each of us to simply be ourselves. We operate with respect and without judgment, celebrating both the power of the individual as well as our shared humanity. If you require reasonable accommodation to complete a job application, pre employment testing, or a job interview or to otherwise participate in the hiring process, please contact .
Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement experiences and communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact. AI Knowledge Enablement Senior Associate In the AI Enablement team within the Commercial & Investment Bank, you will support the design, delivery, and scaling of AI upskilling, awareness, and change management initiatives. You will help employees understand where AI shows up in day-to-day tools and how to adopt AI capabilities responsibly. You will maintain a centralized AI Tool Inventory and support a structured communications approach to AI across the Commercial & Investment Bank. You will work across a diverse set of partners to drive adoption, engagement, and continuous improvement. You will help translate complex AI, technical, and regulatory topics into clear, practical materials that teams can use. Job Responsibilities Support and deliver cross Commercial & Investment Bank AI upskilling initiatives from design through implementation and continuous improvement Deliver AI training that builds foundational AI literacy Support change management activities that promote responsible AI adoption and embed AI into everyday ways of working Develop and maintain an AI Tool Inventory as a one-stop shop for information on AI tools, ensuring content stays accurate, current, and aligned with firm policies Conduct analysis to identify gaps in existing AI upskilling and awareness initiatives and support targeted solutions to close gaps Draft and refine communications materials, including intranet content, newsletters, and leadership talking points, to support a multi-layered AI communications strategy Track progress and engagement across AI knowledge initiatives, reviewing participation, feedback, and adoption data to identify where additional interventions are needed Required Qualifications, Capabilities, and Skills Experience in communications and/or upskilling, learning, and development roles Foundational knowledge of artificial intelligence, machine learning, and generative artificial intelligence, including basic prompt engineering concepts, key risks, and responsible AI principles in a regulated environment Strong verbal and written communication skills, with ability to translate complex AI, technical, and regulatory topics into clear, concise, practical materials Proven ability to deliver multiple initiatives to conclusion across a diverse group of partners while managing competing priorities Proficiency in Microsoft Excel and PowerPoint, including ability to analyze data and produce clear, well-structured materials Strong organization, attention to detail, and learning agility, with ability to quickly assimilate new AI tools, policies, and regulatory developments Bachelor's or Master's degree in a relevant field or equivalent practical experience Preferred Qualifications, Capabilities, and Skills Experience with AI and knowledge of financial services
24/06/2026
Full time
Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement experiences and communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact. AI Knowledge Enablement Senior Associate In the AI Enablement team within the Commercial & Investment Bank, you will support the design, delivery, and scaling of AI upskilling, awareness, and change management initiatives. You will help employees understand where AI shows up in day-to-day tools and how to adopt AI capabilities responsibly. You will maintain a centralized AI Tool Inventory and support a structured communications approach to AI across the Commercial & Investment Bank. You will work across a diverse set of partners to drive adoption, engagement, and continuous improvement. You will help translate complex AI, technical, and regulatory topics into clear, practical materials that teams can use. Job Responsibilities Support and deliver cross Commercial & Investment Bank AI upskilling initiatives from design through implementation and continuous improvement Deliver AI training that builds foundational AI literacy Support change management activities that promote responsible AI adoption and embed AI into everyday ways of working Develop and maintain an AI Tool Inventory as a one-stop shop for information on AI tools, ensuring content stays accurate, current, and aligned with firm policies Conduct analysis to identify gaps in existing AI upskilling and awareness initiatives and support targeted solutions to close gaps Draft and refine communications materials, including intranet content, newsletters, and leadership talking points, to support a multi-layered AI communications strategy Track progress and engagement across AI knowledge initiatives, reviewing participation, feedback, and adoption data to identify where additional interventions are needed Required Qualifications, Capabilities, and Skills Experience in communications and/or upskilling, learning, and development roles Foundational knowledge of artificial intelligence, machine learning, and generative artificial intelligence, including basic prompt engineering concepts, key risks, and responsible AI principles in a regulated environment Strong verbal and written communication skills, with ability to translate complex AI, technical, and regulatory topics into clear, concise, practical materials Proven ability to deliver multiple initiatives to conclusion across a diverse group of partners while managing competing priorities Proficiency in Microsoft Excel and PowerPoint, including ability to analyze data and produce clear, well-structured materials Strong organization, attention to detail, and learning agility, with ability to quickly assimilate new AI tools, policies, and regulatory developments Bachelor's or Master's degree in a relevant field or equivalent practical experience Preferred Qualifications, Capabilities, and Skills Experience with AI and knowledge of financial services
