MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
Apr 03, 2026
Full time
MCS Group is working with an AI enabled software house who is seeking an experienced Contract Data Engineer to support a key automation initiative. This role will focus on building scalable automation across their data platform while supporting migration and modernisation of existing data infrastructure. This is an excellent contract/project for someone who has previously worked on data migration, cloud transformation, or platform modernisation projects, and enjoys building robust, automated data solutions in a cloud-first environment. The Role Design, build, and maintain scalable data pipelines and automation for data ingestion, transformation, and delivery. Develop and optimise SQL-based data models across large relational databases. Build and manage AWS-based data infrastructure using services such as Redshift, Glue, Lambda, S3, and Athena. Implement and maintain ETL/ELT pipelines to integrate data from multiple systems. Support data platform migration and modernisation initiatives. Ensure high standards of data quality, performance optimisation, and governance. Contribute to DevOps and automation practices, including infrastructure-as-code and CI/CD where appropriate. The Person Extensive proven experience as a Data Engineer is essential. Strong hands-on expertise with large relational databases and advanced SQL optimisation. Experience working with AWS data services is essential (including Redshift, Glue, Lambda, S3, and Athena.) Strong experience building ETL/ELT pipelines and data integration workflows. Experience with Python, Spark, or other data processing technologies. Familiarity with Terraform, CI/CD pipelines, and infrastructure-as-code practices. IR35: Outside Duration: 6 months Rate: £410 per day Location: Belfast or London - Please note, in-office working is required in either location To speak in absolute confidence about this opportunity please send an up-to-date CV via the link provided or contact Jill Johnston, Head of IT Contracts, at MCS Group Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current jobs MCS Group is committed to Equality, Diversity, and Inclusion for all, being the first recruitment agency in NI to achieve Bronze Diversity Mark accreditation, if you have a disability which means you require a reasonable adjustment to be considered at any stage of the recruitment process, please contact us and we will endeavour to facilitate the request. Not all agencies are the same MCS Group are passionate about providing a first-class service to all our customers and have an independent review rating of 4.9 stars on Google.
About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Bengaluru, Monaco, Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi-portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets. About the Role: We are seeking a Trading Support Engineer to join the London Tradeflow team and support front-office trading operations, ensuring reliable order and execution flow across internal and external trading systems. This is a hands on production support role focused on monitoring live trading activity, analysing order and execution flow, and troubleshooting issues across FIX connections and internal systems. You will work closely with trading, operations, and global technology teams to ensure timely and accurate trade processing. The role requires strong attention to detail, clear communication, and the ability to operate calmly in a time sensitive environment. Responsibilities As a member of the Tradeflow support team, you will be expected to: Monitor and support trade, order and execution flow across FIX connections, internal order management systems, and external brokers and trading venues. Analyse FIX message traffic (orders, cancels, rejects, executions) to diagnose routing or workflow issues. Support Bloomberg AIM order and execution workflows. Investigate trade breaks, discrepancies, and missing or delayed executions. Assist in troubleshooting session drops, connectivity issues, and counterparty rejects. Coordinate with brokers, trading desks, and operations teams to resolve daily production issues. Escalate incidents appropriately and provide clear status updates to stakeholders. Maintain documentation and contribute to operational runbooks and procedures. Qualifications & Experience 1-3 years of experience supporting trading, middle office, or financial systems. Basic understanding of FIX messaging and the order to trade lifecycle. Familiarity with financial markets and execution workflows. Strong analytical and problem solving skills. Basic scripting ability (Python preferred). Proficient with log analysis and monitoring tools. Experience with version control systems (e.g. Git). Some knowledge of SQL and relational database schemas would be highly beneficial. Strong written and verbal communication skills. Ability to work calmly and efficiently in time sensitive trading environments. Displays and operates at the highest degree of ethics and integrity. Candidate Background Degree in Computer Science, Physics, Mathematics or a related field. Prior internship or experience in a bank, hedge fund, broker, or trading environment is preferred.
Apr 03, 2026
Full time
About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Bengaluru, Monaco, Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi-portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets. About the Role: We are seeking a Trading Support Engineer to join the London Tradeflow team and support front-office trading operations, ensuring reliable order and execution flow across internal and external trading systems. This is a hands on production support role focused on monitoring live trading activity, analysing order and execution flow, and troubleshooting issues across FIX connections and internal systems. You will work closely with trading, operations, and global technology teams to ensure timely and accurate trade processing. The role requires strong attention to detail, clear communication, and the ability to operate calmly in a time sensitive environment. Responsibilities As a member of the Tradeflow support team, you will be expected to: Monitor and support trade, order and execution flow across FIX connections, internal order management systems, and external brokers and trading venues. Analyse FIX message traffic (orders, cancels, rejects, executions) to diagnose routing or workflow issues. Support Bloomberg AIM order and execution workflows. Investigate trade breaks, discrepancies, and missing or delayed executions. Assist in troubleshooting session drops, connectivity issues, and counterparty rejects. Coordinate with brokers, trading desks, and operations teams to resolve daily production issues. Escalate incidents appropriately and provide clear status updates to stakeholders. Maintain documentation and contribute to operational runbooks and procedures. Qualifications & Experience 1-3 years of experience supporting trading, middle office, or financial systems. Basic understanding of FIX messaging and the order to trade lifecycle. Familiarity with financial markets and execution workflows. Strong analytical and problem solving skills. Basic scripting ability (Python preferred). Proficient with log analysis and monitoring tools. Experience with version control systems (e.g. Git). Some knowledge of SQL and relational database schemas would be highly beneficial. Strong written and verbal communication skills. Ability to work calmly and efficiently in time sensitive trading environments. Displays and operates at the highest degree of ethics and integrity. Candidate Background Degree in Computer Science, Physics, Mathematics or a related field. Prior internship or experience in a bank, hedge fund, broker, or trading environment is preferred.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases- to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases- to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Senior Software Engineer / SRE - Application Middleware Location London Business Area Engineering and CTO Ref # Description & Requirements Are you passionate about building high-performance systems that are fast, resilient, and operate at global scale? Join Bloomberg's Application Middleware SRE team, where you'll combine software engineering and systems expertise to keep the backbone of the Bloomberg Terminal running smoothly for hundreds of thousands of users around the world. We're not your typical SRE team. We're embedded in a group that powers real-time connectivity, and we own systems where uptime isn't just important-it's essential to the global financial system. This is your opportunity to engineer resilience at scale, automate critical infrastructure, and shape reliability practices across one of the world's most powerful tech platforms. The Team We're the Site Reliability Engineering team within Bloomberg's Application Middleware group. Our mission: ensure that Bloomberg's core connectivity and messaging layers are resilient, scalable, and fully observable. We own systems that operate at high throughput and low latency, including: Gateways: Secure, high-performance TCP/SSL entry points to our data centers HFN & NSTP: A global HTTP CDN and SOCKS5 proxy network delivering fast access from any geography Playlist Services: Dynamic path configuration systems optimizing user connectivity in real-time PGM Relays: Infrastructure for reliable multicast data delivery We use automation, observability, and software engineering to detect issues before they impact customers and reduce manual toil wherever we can. What You'll Do Build production grade software that powers Bloomberg's global infrastructure Design and implement scalable, fault tolerant systems with a focus on observability, performance, and automation Collaborate across engineering teams to introduce automated, self service operational workflows Conduct deep systems analysis and root cause investigations for complex, distributed systems Propose and prototype innovative approaches to reliability and risk mitigation Contribute to design docs, runbooks, and post incident reviews-clear communication is part of the job You'll Need to Have A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Strong software engineering skills in any high-level language (we mainly use Python and C++) A deep understanding of software system reliability and risk management-including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written and verbal communication, including technical documentation and incident analysis We'd Love to See We are building a team with a breadth of expertise and value depth in any of the following areas: Systems Knowledge: A strong grasp of operating systems, fundamental networking protocols (TCP, UDP, multicast), or core database concepts as they apply to modern infrastructure. Cluster Management: Experience with deployments, staging, and configuration management. Direct experience with Argo and/or Kubernetes or other Pipeline Management Platforms is a significant advantage. Machine Management at Scale: Experience with capacity planning and automating the lifecycle of large machine fleets. System Observability and Monitoring: Deep understanding of SLIs/SLOs/SLAs, alerting, and building dashboards for complex systems. Reliability in Distributed Systems: Knowledge of fault tolerance and the unique challenges of network and node failure in distributed environments. Mentoring: Proven experience mentoring and growing junior Engineers Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Apr 03, 2026
Full time
Senior Software Engineer / SRE - Application Middleware Location London Business Area Engineering and CTO Ref # Description & Requirements Are you passionate about building high-performance systems that are fast, resilient, and operate at global scale? Join Bloomberg's Application Middleware SRE team, where you'll combine software engineering and systems expertise to keep the backbone of the Bloomberg Terminal running smoothly for hundreds of thousands of users around the world. We're not your typical SRE team. We're embedded in a group that powers real-time connectivity, and we own systems where uptime isn't just important-it's essential to the global financial system. This is your opportunity to engineer resilience at scale, automate critical infrastructure, and shape reliability practices across one of the world's most powerful tech platforms. The Team We're the Site Reliability Engineering team within Bloomberg's Application Middleware group. Our mission: ensure that Bloomberg's core connectivity and messaging layers are resilient, scalable, and fully observable. We own systems that operate at high throughput and low latency, including: Gateways: Secure, high-performance TCP/SSL entry points to our data centers HFN & NSTP: A global HTTP CDN and SOCKS5 proxy network delivering fast access from any geography Playlist Services: Dynamic path configuration systems optimizing user connectivity in real-time PGM Relays: Infrastructure for reliable multicast data delivery We use automation, observability, and software engineering to detect issues before they impact customers and reduce manual toil wherever we can. What You'll Do Build production grade software that powers Bloomberg's global infrastructure Design and implement scalable, fault tolerant systems with a focus on observability, performance, and automation Collaborate across engineering teams to introduce automated, self service operational workflows Conduct deep systems analysis and root cause investigations for complex, distributed systems Propose and prototype innovative approaches to reliability and risk mitigation Contribute to design docs, runbooks, and post incident reviews-clear communication is part of the job You'll Need to Have A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Strong software engineering skills in any high-level language (we mainly use Python and C++) A deep understanding of software system reliability and risk management-including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written and verbal communication, including technical documentation and incident analysis We'd Love to See We are building a team with a breadth of expertise and value depth in any of the following areas: Systems Knowledge: A strong grasp of operating systems, fundamental networking protocols (TCP, UDP, multicast), or core database concepts as they apply to modern infrastructure. Cluster Management: Experience with deployments, staging, and configuration management. Direct experience with Argo and/or Kubernetes or other Pipeline Management Platforms is a significant advantage. Machine Management at Scale: Experience with capacity planning and automating the lifecycle of large machine fleets. System Observability and Monitoring: Deep understanding of SLIs/SLOs/SLAs, alerting, and building dashboards for complex systems. Reliability in Distributed Systems: Knowledge of fault tolerance and the unique challenges of network and node failure in distributed environments. Mentoring: Proven experience mentoring and growing junior Engineers Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. Impact you will have Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production grade systems from data ingestion and transformation through ML/AI model integration to user facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre sales through post deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. Ability and interest to travel up to 50% as needed to client sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 03, 2026
Full time
About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. Impact you will have Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production grade systems from data ingestion and transformation through ML/AI model integration to user facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre sales through post deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. Ability and interest to travel up to 50% as needed to client sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
. Software Engineering Lead - People Management About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, . About the Role: As a Software Engineering Lead, you will be leading and liaising with dynamic, passionate cross functional teams, where collaboration as a team is key.You will be responsible for overseeing and guiding a team of Software Engineers who deliver value through web applications serving our customers various risk assessment needs. In this role, success means enabling your team to deliver high quality software while creating an environment where engineers can grow and do their best work. What you will gain in this role Opportunities to develop leadership skills. Exposure to cross-functional decision-making. Opportunity to join work facilitated community, social, and cultural events. Local support from manager and peers. Global support from extensive Technology team. Responsibilities: Delivery & Collaboration + Leading a development team as they efficiently deliver features and capabilities. + Working closely with other development team members to understand complex product requirements and translate them into software designs. + Promoting collaboration between teams, sharing best practice and helping clear potential blockers. + Working closely with the Product Manager to ensure the team have the right direction and is well aligned with other teams. + Raise security maturity across applications and delivery processes, ensuring security and privacy are built into day-to-day engineering practice. People Leadership + Coach and develop your team members, through aligned objectives and goals. Technical Leadership + Provide technical guidance and support, drawing on your experience to help teams make good decisions. + Act as a first point of support for resolving development issues, involving others where appropriate. + Champion responsible AI adoption within the team, helping engineers effectively use approved AI tools. Requirements: Experience building production software in at least one modern programming language, for example, PHP, Java, Python, .NET, JavaScript. Be able to partner and lead internal and external technology resources in solving complex business needs. Be able to collaborate, support and drive team members to deliver on results, providing technical and professional guidance. Be able to design and work with complex data models. Principal Software Engineer About Cirium: Cirium is transforming the way the world understands aviation data. We connect the industry through innovative analytics, helping airlines, airports, travel companies, tech giants, manufacturers, and financial institutions accelerate their digital transformation. Join us to shape the future of aviation. About the Team: You'll join a collaborative, curious team of professionals at all levels. We value diverse perspectives and encourage ownership in solving challenges end-to-end. About the role: As a member of our Team, you'll contribute to building, maintaining, and supporting our infrastructure and applications. You'll work with talented colleagues, communicate effectively, and champion engineering excellence. Responsibilities: Deliver resilient solutions using DevOps practices and "Infrastructure as Code" Diagnose and resolve complex technical issues Lead and influence the design and delivery of scalable, resilient data platform services. Collaborate across teams to drive innovation and continuous improvement Uphold our commitment to accessibility, inclusion, and data-driven decision-making Requirements: Experience of Cloud Platforms (AWS), Infrastructure as code, MLOps, and Python (or similar technologies), along with monitoring and observability. Ability to communicate clearly and respectfully with diverse audiences Commitment to learning and adapting in a dynamic environment Experience mentoring and developing engineering talent. Passion for building inclusive, high-performing teams. Willingness to attend our Southampton office 2 days per week (reasonable accommodations available) Experience with data platforms, distributed systems, and data pipelines in cloud-native environments. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .
Apr 03, 2026
Full time
. Software Engineering Lead - People Management About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, . About the Role: As a Software Engineering Lead, you will be leading and liaising with dynamic, passionate cross functional teams, where collaboration as a team is key.You will be responsible for overseeing and guiding a team of Software Engineers who deliver value through web applications serving our customers various risk assessment needs. In this role, success means enabling your team to deliver high quality software while creating an environment where engineers can grow and do their best work. What you will gain in this role Opportunities to develop leadership skills. Exposure to cross-functional decision-making. Opportunity to join work facilitated community, social, and cultural events. Local support from manager and peers. Global support from extensive Technology team. Responsibilities: Delivery & Collaboration + Leading a development team as they efficiently deliver features and capabilities. + Working closely with other development team members to understand complex product requirements and translate them into software designs. + Promoting collaboration between teams, sharing best practice and helping clear potential blockers. + Working closely with the Product Manager to ensure the team have the right direction and is well aligned with other teams. + Raise security maturity across applications and delivery processes, ensuring security and privacy are built into day-to-day engineering practice. People Leadership + Coach and develop your team members, through aligned objectives and goals. Technical Leadership + Provide technical guidance and support, drawing on your experience to help teams make good decisions. + Act as a first point of support for resolving development issues, involving others where appropriate. + Champion responsible AI adoption within the team, helping engineers effectively use approved AI tools. Requirements: Experience building production software in at least one modern programming language, for example, PHP, Java, Python, .NET, JavaScript. Be able to partner and lead internal and external technology resources in solving complex business needs. Be able to collaborate, support and drive team members to deliver on results, providing technical and professional guidance. Be able to design and work with complex data models. Principal Software Engineer About Cirium: Cirium is transforming the way the world understands aviation data. We connect the industry through innovative analytics, helping airlines, airports, travel companies, tech giants, manufacturers, and financial institutions accelerate their digital transformation. Join us to shape the future of aviation. About the Team: You'll join a collaborative, curious team of professionals at all levels. We value diverse perspectives and encourage ownership in solving challenges end-to-end. About the role: As a member of our Team, you'll contribute to building, maintaining, and supporting our infrastructure and applications. You'll work with talented colleagues, communicate effectively, and champion engineering excellence. Responsibilities: Deliver resilient solutions using DevOps practices and "Infrastructure as Code" Diagnose and resolve complex technical issues Lead and influence the design and delivery of scalable, resilient data platform services. Collaborate across teams to drive innovation and continuous improvement Uphold our commitment to accessibility, inclusion, and data-driven decision-making Requirements: Experience of Cloud Platforms (AWS), Infrastructure as code, MLOps, and Python (or similar technologies), along with monitoring and observability. Ability to communicate clearly and respectfully with diverse audiences Commitment to learning and adapting in a dynamic environment Experience mentoring and developing engineering talent. Passion for building inclusive, high-performing teams. Willingness to attend our Southampton office 2 days per week (reasonable accommodations available) Experience with data platforms, distributed systems, and data pipelines in cloud-native environments. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)
Apr 03, 2026
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)
Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Opportunity We are seeking a highly skilled and motivated Senior Front-End Developer to join a critical greenfield program focused on transforming our electronic FX Options Trading business. This is a multi-year, high-profile project to modernize and scale our platform, offering a unique opportunity for you to make a significant and lasting impact. You will be at the forefront of building the next generation of trading technology. What You'll Do Design and Build:Take a leading role in the design and development of a state-of-the-art electronic FX Options Trading Platform. Your focus areas will include: RFQ (Request for Quote) workflows for clients and sales-to-trader interactions. Real-time, streaming pricing engines and displays. Volatility Surface and other complex market data management tools. A comprehensive workbench for Structured Product Pricing. Collaborate:Work in a tight-knit, global team alongside developers, quants, and traders to translate complex business requirements into robust, elegant technical solutions. Innovate:Leverage your deep expertise in TypeScript and React to build high-performance, scalable, and intuitive web UIs that provide an exceptional user experience. Improve:Champion and contribute to the continuous improvement of our development, deployment (CI/CD), and testing processes to ensure quality and efficiency. Mentor:Share your knowledge, guide, and mentor other developers, fostering a collaborative and innovative team culture where everyone can grow. Essential Skills & Experience Front-End Expertise:Advanced, hands-on experience in UI/UX development usingReact and TypeScript. (Professional experience with Angular or Vue.js would also be considered). Inter-Application Communication:Solid understanding of building applications that handle real-time data, using technologies likeREST APIs, WebSockets, or middleware (e.g., Solace, Kafka, TIBCO). Engineering Excellence:Proficiency in modern software engineering practices, includingCI/CD, automated testing, application resiliency, performance profiling, and telemetry. Desirable Skills (Nice to Have) Interest or experience in leveraging agentic AI development tools to accelerate and improve workflows (e.g., GitHub Copilot, Cursor, Devin). Familiarity with desktop container frameworks such asOpenFinor interoperability libraries. Back-end development experience inJava, C#/.NET, or Python. Knowledge of containerization and orchestration withKubernetes. While prior experience in finance is a plus, a strong passion for technology and complex problem-solving is what truly matters. Our Culture Agile & Collaborative:We thrive in a dynamic environment that values curiosity, ownership, and a drive for continuous improvement. Transparent Communication:We believe in challenging ideas respectfully and maintaining open, honest communication across all levels of the team. Iterative Delivery:We focus on delivering high-quality, impactful solutions iteratively, learning and adapting as we go. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Apr 03, 2026
Full time
Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Senior Front-End Developer (React, TypeScript) - VP, FX Options Pricing Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Opportunity We are seeking a highly skilled and motivated Senior Front-End Developer to join a critical greenfield program focused on transforming our electronic FX Options Trading business. This is a multi-year, high-profile project to modernize and scale our platform, offering a unique opportunity for you to make a significant and lasting impact. You will be at the forefront of building the next generation of trading technology. What You'll Do Design and Build:Take a leading role in the design and development of a state-of-the-art electronic FX Options Trading Platform. Your focus areas will include: RFQ (Request for Quote) workflows for clients and sales-to-trader interactions. Real-time, streaming pricing engines and displays. Volatility Surface and other complex market data management tools. A comprehensive workbench for Structured Product Pricing. Collaborate:Work in a tight-knit, global team alongside developers, quants, and traders to translate complex business requirements into robust, elegant technical solutions. Innovate:Leverage your deep expertise in TypeScript and React to build high-performance, scalable, and intuitive web UIs that provide an exceptional user experience. Improve:Champion and contribute to the continuous improvement of our development, deployment (CI/CD), and testing processes to ensure quality and efficiency. Mentor:Share your knowledge, guide, and mentor other developers, fostering a collaborative and innovative team culture where everyone can grow. Essential Skills & Experience Front-End Expertise:Advanced, hands-on experience in UI/UX development usingReact and TypeScript. (Professional experience with Angular or Vue.js would also be considered). Inter-Application Communication:Solid understanding of building applications that handle real-time data, using technologies likeREST APIs, WebSockets, or middleware (e.g., Solace, Kafka, TIBCO). Engineering Excellence:Proficiency in modern software engineering practices, includingCI/CD, automated testing, application resiliency, performance profiling, and telemetry. Desirable Skills (Nice to Have) Interest or experience in leveraging agentic AI development tools to accelerate and improve workflows (e.g., GitHub Copilot, Cursor, Devin). Familiarity with desktop container frameworks such asOpenFinor interoperability libraries. Back-end development experience inJava, C#/.NET, or Python. Knowledge of containerization and orchestration withKubernetes. While prior experience in finance is a plus, a strong passion for technology and complex problem-solving is what truly matters. Our Culture Agile & Collaborative:We thrive in a dynamic environment that values curiosity, ownership, and a drive for continuous improvement. Transparent Communication:We believe in challenging ideas respectfully and maintaining open, honest communication across all levels of the team. Iterative Delivery:We focus on delivering high-quality, impactful solutions iteratively, learning and adapting as we go. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.
Apr 03, 2026
Full time
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.
A healthcare technology company is seeking a software engineer to build backend systems for managing large healthcare datasets and developing APIs for its marketplace. The ideal candidate will have over 3 years of experience in software engineering, strong programming skills in Python or TypeScript, and an ability to work with complex data. Joining this innovative team offers competitive compensation and health benefits while contributing to a vital healthcare data platform.
Apr 03, 2026
Full time
A healthcare technology company is seeking a software engineer to build backend systems for managing large healthcare datasets and developing APIs for its marketplace. The ideal candidate will have over 3 years of experience in software engineering, strong programming skills in Python or TypeScript, and an ability to work with complex data. Joining this innovative team offers competitive compensation and health benefits while contributing to a vital healthcare data platform.
Meroka is building the infrastructure for independent medicine in the United States. Independent physician practices deliver extraordinary care but operate in a fragmented system with opaque pricing, complex administration, and limited negotiating power with large insurers. We are building the data, software, and operational infrastructure that allows independent practices to thrive. At the core of this effort is a large healthcare data platform that aggregates many different data sources into a unified system. This includes public datasets, operational practice data, regulatory information, pricing signals, and quality metrics. On top of this foundation, we are building a direct contracting marketplace where: Independent physician practices can set transparent prices for procedures Employers can evaluate providers based on price and quality Contracts and transactions occur directly between employers and providers The goal is simple: lower costs for employers while improving reimbursement and autonomy for independent practices. We believe in clear communication, practical systems, thoughtful design, and long term thinking. Our tone is warm, grounded, and confident but never corporate or clinical. You want to focus purely on AI model research rather than building production systems You prefer working on isolated technical problems rather than integrating complex real world systems You are uncomfortable working with messy real world datasets that require structuring and normalization You want highly rigid specifications rather than working iteratively with product, operations, and leadership You avoid industries where compliance, auditability, and real operational impact are critical What You'll Do Build backend systems that ingest, structure, and manage large healthcare datasets from many sources Design and maintain data pipelines that normalize and unify complex healthcare data Develop APIs and services that power Meroka's internal tools and marketplace infrastructure Build systems that generate pricing intelligence and provider insights from large datasets Help design and implement quality scoring and benchmarking frameworks for independent practices Contribute to backend systems supporting employer and provider transactions on the Meroka marketplace Develop AI assisted tools that help structure data, automate workflows, and generate operational insights Work closely with product, operations, and leadership to translate real world healthcare problems into software systems Design systems with reliability, transparency, and auditability from the start Take ownership of backend architecture that will support the long term growth of the platform Has 3 or more years of experience in software engineering, ideally with a backend or data infrastructure focus Is comfortable working with large structured and unstructured datasets Has experience building data pipelines, APIs, and integration layers Brings strong programming skills in Python, TypeScript, or similar languages Has experience working with LLMs or AI orchestration frameworks Understands how to build systems with reliability, transparency, and auditability Can collaborate closely with non technical teams to translate operational workflows into software systems Thrives in early stage environments where ownership, speed, and clarity are essential What We Offer Competitive compensation and health benefits We love building together and this role would be based in London face-to-face with the team The opportunity to help build one of the most useful healthcare data platforms supporting independent physician practices Ownership of core infrastructure that powers pricing intelligence and marketplace transactions A thoughtful, ambitious team that values pragmatism, clarity, and long term thinking This role is based in London and part of a distributed engineering team across London, Montréal, Ottawa, and Vancouver. The team currently is growing as Meroka expands its data platform and marketplace capabilities. Occasional travel to the United States or Canada may occur for team collaboration or product initiatives. How to Apply Send us your CV and examples of systems you have built. Bonus points if you include a short Loom video walking us through a project where you: built a data pipeline unified multiple datasets into a usable system automated a complex operational workflow
Apr 03, 2026
Full time
Meroka is building the infrastructure for independent medicine in the United States. Independent physician practices deliver extraordinary care but operate in a fragmented system with opaque pricing, complex administration, and limited negotiating power with large insurers. We are building the data, software, and operational infrastructure that allows independent practices to thrive. At the core of this effort is a large healthcare data platform that aggregates many different data sources into a unified system. This includes public datasets, operational practice data, regulatory information, pricing signals, and quality metrics. On top of this foundation, we are building a direct contracting marketplace where: Independent physician practices can set transparent prices for procedures Employers can evaluate providers based on price and quality Contracts and transactions occur directly between employers and providers The goal is simple: lower costs for employers while improving reimbursement and autonomy for independent practices. We believe in clear communication, practical systems, thoughtful design, and long term thinking. Our tone is warm, grounded, and confident but never corporate or clinical. You want to focus purely on AI model research rather than building production systems You prefer working on isolated technical problems rather than integrating complex real world systems You are uncomfortable working with messy real world datasets that require structuring and normalization You want highly rigid specifications rather than working iteratively with product, operations, and leadership You avoid industries where compliance, auditability, and real operational impact are critical What You'll Do Build backend systems that ingest, structure, and manage large healthcare datasets from many sources Design and maintain data pipelines that normalize and unify complex healthcare data Develop APIs and services that power Meroka's internal tools and marketplace infrastructure Build systems that generate pricing intelligence and provider insights from large datasets Help design and implement quality scoring and benchmarking frameworks for independent practices Contribute to backend systems supporting employer and provider transactions on the Meroka marketplace Develop AI assisted tools that help structure data, automate workflows, and generate operational insights Work closely with product, operations, and leadership to translate real world healthcare problems into software systems Design systems with reliability, transparency, and auditability from the start Take ownership of backend architecture that will support the long term growth of the platform Has 3 or more years of experience in software engineering, ideally with a backend or data infrastructure focus Is comfortable working with large structured and unstructured datasets Has experience building data pipelines, APIs, and integration layers Brings strong programming skills in Python, TypeScript, or similar languages Has experience working with LLMs or AI orchestration frameworks Understands how to build systems with reliability, transparency, and auditability Can collaborate closely with non technical teams to translate operational workflows into software systems Thrives in early stage environments where ownership, speed, and clarity are essential What We Offer Competitive compensation and health benefits We love building together and this role would be based in London face-to-face with the team The opportunity to help build one of the most useful healthcare data platforms supporting independent physician practices Ownership of core infrastructure that powers pricing intelligence and marketplace transactions A thoughtful, ambitious team that values pragmatism, clarity, and long term thinking This role is based in London and part of a distributed engineering team across London, Montréal, Ottawa, and Vancouver. The team currently is growing as Meroka expands its data platform and marketplace capabilities. Occasional travel to the United States or Canada may occur for team collaboration or product initiatives. How to Apply Send us your CV and examples of systems you have built. Bonus points if you include a short Loom video walking us through a project where you: built a data pipeline unified multiple datasets into a usable system automated a complex operational workflow
As a Software Engineer II, you will join our London-based engineering team, contributing to the design, development, and delivery of Java, Python and TypeScript-based blockchain applications. Working alongside experienced engineers with decades of Markets expertise, you'll build production-grade blockchain services, learn cutting-edge DLT technologies, and help transform the financial ecosystem from the inside. This role offers the opportunity to grow your skills in blockchain and distributed systems while working on high-impact projects with direct visibility to business leaders across the industry's leading markets business. Markets Digital Assets focuses on designing and building production-grade solutions leveraging Blockchain and Distributed Ledger Technologies (DLT) to transform JPMorgan's CIB Markets business. We partner closely with Front Office, Product, Operations, and core platform teams to deliver secure, scalable, and compliant digital asset capabilities across our private blockchain network, Kinexys Digital Assets, and public blockchains. Job Responsibilities Develop scalable, secure services using Java Spring Boot, TypeScript/NestJS, ReactJS, and Python Contribute to end-to-end delivery: implementation, testing, CI/CD, deployment, and production support Write clean, maintainable code and participate in code reviews to uphold engineering standards for quality, observability, and performance Collaborate with Front Office, Product, Operations, and platform teams to build and deliver transformative DLT use cases Learn and apply blockchain technologies in a full-stack DApps build environment across private and public blockchains Work with enterprise development toolchains including Git, Jenkins, and CI/CD pipelines Engage with senior engineers and architects to understand distributed systems design and best practices Participate in team knowledge-sharing, hackathons, and experimentation with emerging technologies Contribute to the team's technical output and help advocate for DLT within the firm Required qualifications, capabilities and skills Hands on software engineering experience with Java Spring Boot/Python or similar modern backend frameworks Understanding of software development fundamentals: data structures, algorithms, object oriented design Experience with version control (Git) and working in collaborative development environments Eagerness to learn distributed systems, blockchain technologies, and cloud native architectures Strong problem solving skills and ability to work effectively in a team Excellent communication and collaboration skills; comfort working with diverse stakeholder groups Familiarity with CI/CD pipelines, automated testing, and DevOps practices Interest in or exposure to blockchain and Distributed Ledger Technologies (DLT) Preferred qualifications, capabilities and skills Familiarity with TypeScript, JavaScript, or front end development (ReactJS or similar frameworks) Experience building on public or permissioned blockchain platforms (e.g., Solana, Ethereum/EVM, Hyperledger, Polkadot, Cosmos, Avalanche, Canton) Understanding of cryptographic protocols, smart contracts, or key management Experience with AWS services and cloud native architectures Interest in front office or trade processing environments within financial services
Apr 03, 2026
Full time
As a Software Engineer II, you will join our London-based engineering team, contributing to the design, development, and delivery of Java, Python and TypeScript-based blockchain applications. Working alongside experienced engineers with decades of Markets expertise, you'll build production-grade blockchain services, learn cutting-edge DLT technologies, and help transform the financial ecosystem from the inside. This role offers the opportunity to grow your skills in blockchain and distributed systems while working on high-impact projects with direct visibility to business leaders across the industry's leading markets business. Markets Digital Assets focuses on designing and building production-grade solutions leveraging Blockchain and Distributed Ledger Technologies (DLT) to transform JPMorgan's CIB Markets business. We partner closely with Front Office, Product, Operations, and core platform teams to deliver secure, scalable, and compliant digital asset capabilities across our private blockchain network, Kinexys Digital Assets, and public blockchains. Job Responsibilities Develop scalable, secure services using Java Spring Boot, TypeScript/NestJS, ReactJS, and Python Contribute to end-to-end delivery: implementation, testing, CI/CD, deployment, and production support Write clean, maintainable code and participate in code reviews to uphold engineering standards for quality, observability, and performance Collaborate with Front Office, Product, Operations, and platform teams to build and deliver transformative DLT use cases Learn and apply blockchain technologies in a full-stack DApps build environment across private and public blockchains Work with enterprise development toolchains including Git, Jenkins, and CI/CD pipelines Engage with senior engineers and architects to understand distributed systems design and best practices Participate in team knowledge-sharing, hackathons, and experimentation with emerging technologies Contribute to the team's technical output and help advocate for DLT within the firm Required qualifications, capabilities and skills Hands on software engineering experience with Java Spring Boot/Python or similar modern backend frameworks Understanding of software development fundamentals: data structures, algorithms, object oriented design Experience with version control (Git) and working in collaborative development environments Eagerness to learn distributed systems, blockchain technologies, and cloud native architectures Strong problem solving skills and ability to work effectively in a team Excellent communication and collaboration skills; comfort working with diverse stakeholder groups Familiarity with CI/CD pipelines, automated testing, and DevOps practices Interest in or exposure to blockchain and Distributed Ledger Technologies (DLT) Preferred qualifications, capabilities and skills Familiarity with TypeScript, JavaScript, or front end development (ReactJS or similar frameworks) Experience building on public or permissioned blockchain platforms (e.g., Solana, Ethereum/EVM, Hyperledger, Polkadot, Cosmos, Avalanche, Canton) Understanding of cryptographic protocols, smart contracts, or key management Experience with AWS services and cloud native architectures Interest in front office or trade processing environments within financial services
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Embed security practices across infrastructure and applications. Ensure confidentiality, integrity, and availability of systems by proactively monitoring, preventing, and responding to security threats. What We're Looking For 3-5 years of experience in IT security, cloud security, or SecOps Strong understanding of cloud security principles (IAM, VPC security, firewalls, data encryption) Hands-on experience with GCP security tools (e.g., Cloud Armor, Security Command Center) and/or OVH security features Knowledge of network security, intrusion detection/prevention, and endpoint security Proficiency in security incident handling and forensics Familiarity with DevSecOps practices and integrating security into CI/CD pipelines Experience with scripting/automation (Python, Bash, or PowerShell) Strong understanding of compliance and regulatory frameworks (GDPR, HIPAA, SOC 2, ISO 27001) What You'll Do Implement, monitor, and maintain security controls across cloud environments (OVHcloud, GCP) and applications Manage Identity and Access Management (IAM) policies, firewall rules, secrets, and key rotations Conduct vulnerability assessments, penetration testing, and security risk analysis Monitor systems for suspicious activity, respond to security incidents, and perform root cause analysis Deploy and maintain SIEM tools (e.g., Splunk, ELK, Google Chronicle, Wazuh) Ensure compliance with industry standards and regulations (ISO 27001, SOC 2, GDPR, HIPAA, etc.) Work closely with CloudOps to enforce secure deployments, network segmentation, and encryption policies Automate security monitoring, patching, and reporting where possible Provide security awareness training for development and operations teams Stay current with the latest security threats, tools, and best practices Apply for This Position Ready to join our mission? Submit your application below and take the next step in your career. Have a question or want to work together? We'd love to hear from you.
Apr 03, 2026
Full time
Embed security practices across infrastructure and applications. Ensure confidentiality, integrity, and availability of systems by proactively monitoring, preventing, and responding to security threats. What We're Looking For 3-5 years of experience in IT security, cloud security, or SecOps Strong understanding of cloud security principles (IAM, VPC security, firewalls, data encryption) Hands-on experience with GCP security tools (e.g., Cloud Armor, Security Command Center) and/or OVH security features Knowledge of network security, intrusion detection/prevention, and endpoint security Proficiency in security incident handling and forensics Familiarity with DevSecOps practices and integrating security into CI/CD pipelines Experience with scripting/automation (Python, Bash, or PowerShell) Strong understanding of compliance and regulatory frameworks (GDPR, HIPAA, SOC 2, ISO 27001) What You'll Do Implement, monitor, and maintain security controls across cloud environments (OVHcloud, GCP) and applications Manage Identity and Access Management (IAM) policies, firewall rules, secrets, and key rotations Conduct vulnerability assessments, penetration testing, and security risk analysis Monitor systems for suspicious activity, respond to security incidents, and perform root cause analysis Deploy and maintain SIEM tools (e.g., Splunk, ELK, Google Chronicle, Wazuh) Ensure compliance with industry standards and regulations (ISO 27001, SOC 2, GDPR, HIPAA, etc.) Work closely with CloudOps to enforce secure deployments, network segmentation, and encryption policies Automate security monitoring, patching, and reporting where possible Provide security awareness training for development and operations teams Stay current with the latest security threats, tools, and best practices Apply for This Position Ready to join our mission? Submit your application below and take the next step in your career. Have a question or want to work together? We'd love to hear from you.
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Apr 03, 2026
Full time
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
A logistics service provider is seeking a Fleet Performance Engineer based in London or Antwerp. The role involves optimizing vessel operational efficiency through data analysis, software development, and direct engagement with stakeholders. Ideal candidates will hold an M.S.C. or Ph.D. in a relevant field and possess strong programming skills, particularly in Python and SQL. The position promises a stimulating work environment and the opportunity to significantly impact operational costs.
Apr 03, 2026
Full time
A logistics service provider is seeking a Fleet Performance Engineer based in London or Antwerp. The role involves optimizing vessel operational efficiency through data analysis, software development, and direct engagement with stakeholders. Ideal candidates will hold an M.S.C. or Ph.D. in a relevant field and possess strong programming skills, particularly in Python and SQL. The position promises a stimulating work environment and the opportunity to significantly impact operational costs.
JD: Integration Engineer (EMEA) About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME's Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company's Next Big Things in Tech, we are building the Age Layer for the internet-the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world's largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About The Role As an Integration Engineer, you'll be a core technical expert responsible for designing, developing, and maintaining integrations between k-ID's services and client systems. You'll leverage expertise in full-stack web development and game engines to ensure our Global Compliance Engine, AgeKit+ and AgeKeys are implemented seamlessly. This role focuses on supporting EMEA customers and providing regional time zone coverage. Location & Language Location: London, UK Languages: Proficiency in English and one more European language is a plus Key Responsibilities Serve as primary technical contact for European customers during local business hours Design, develop, and deploy integration solutions connecting k-ID services with client systems Build and troubleshoot integrations across a variety of platforms including game engines, mobile apps, and web Create and maintain technical documentation, integration guides, and code samples Collaborate with engineering, product, and go-to-market teams Troubleshoot complex technical issues and ensure high availability Minimum Qualifications Bachelor's in CS, Engineering, or related field 5+ years in software development with focus on systems integration and API development Fluency in English Proficiency in multiple languages (JavaScript/TypeScript, Python, C#, C++, Java) Experience with RESTful APIs and webhook integrations Strong understanding of web technologies and modern frameworks such as NextJS and React Experience with cloud platforms (AWS, Azure, GCP) Preferred Qualifications 8+ years of relevant experience Familiarity with Python as well as OOP languages such as C# or Java a plus Deep knowledge of digital identity, computer security, cryptography, and user data privacy practices Experience with various methods of age verification such as facial age estimation, ID verification, mobile driver's license, etc. Experience with WebView implementations and cross-platform development Hands-on experience with native mobile app development History of leading complex integration projects Experience with customers across multiple European markets Familiarity with global youth privacy frameworks such as COPPA and GDPR-K preferred. Proficiency in more than two European languages Benefits Competitive Salary A competitive startup salary aligned with experience and market benchmarks. Employee Stock Ownership Plan so you participate directly in the long term upside of the company. Health and Wellbeing Comprehensive family health coverage, including medical, dental, and vision benefits Provided Mental Health and Wellness support benefit Professional Development Hands on exposure with key clients in a scaling global tech company Opportunities for continuous learning through real ownership rather than formal training alone. Direct collaboration with the Founders and the tech leadership team Culture and Ways of Working A collaborative, inclusive and low politics work environment. Flexible, trust based working culture shaped by a US startup operating model. A mission driven company focused on improving online experiences for kids and teens globally. Applicants Privacy Policy
Apr 03, 2026
Full time
JD: Integration Engineer (EMEA) About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME's Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company's Next Big Things in Tech, we are building the Age Layer for the internet-the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world's largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About The Role As an Integration Engineer, you'll be a core technical expert responsible for designing, developing, and maintaining integrations between k-ID's services and client systems. You'll leverage expertise in full-stack web development and game engines to ensure our Global Compliance Engine, AgeKit+ and AgeKeys are implemented seamlessly. This role focuses on supporting EMEA customers and providing regional time zone coverage. Location & Language Location: London, UK Languages: Proficiency in English and one more European language is a plus Key Responsibilities Serve as primary technical contact for European customers during local business hours Design, develop, and deploy integration solutions connecting k-ID services with client systems Build and troubleshoot integrations across a variety of platforms including game engines, mobile apps, and web Create and maintain technical documentation, integration guides, and code samples Collaborate with engineering, product, and go-to-market teams Troubleshoot complex technical issues and ensure high availability Minimum Qualifications Bachelor's in CS, Engineering, or related field 5+ years in software development with focus on systems integration and API development Fluency in English Proficiency in multiple languages (JavaScript/TypeScript, Python, C#, C++, Java) Experience with RESTful APIs and webhook integrations Strong understanding of web technologies and modern frameworks such as NextJS and React Experience with cloud platforms (AWS, Azure, GCP) Preferred Qualifications 8+ years of relevant experience Familiarity with Python as well as OOP languages such as C# or Java a plus Deep knowledge of digital identity, computer security, cryptography, and user data privacy practices Experience with various methods of age verification such as facial age estimation, ID verification, mobile driver's license, etc. Experience with WebView implementations and cross-platform development Hands-on experience with native mobile app development History of leading complex integration projects Experience with customers across multiple European markets Familiarity with global youth privacy frameworks such as COPPA and GDPR-K preferred. Proficiency in more than two European languages Benefits Competitive Salary A competitive startup salary aligned with experience and market benchmarks. Employee Stock Ownership Plan so you participate directly in the long term upside of the company. Health and Wellbeing Comprehensive family health coverage, including medical, dental, and vision benefits Provided Mental Health and Wellness support benefit Professional Development Hands on exposure with key clients in a scaling global tech company Opportunities for continuous learning through real ownership rather than formal training alone. Direct collaboration with the Founders and the tech leadership team Culture and Ways of Working A collaborative, inclusive and low politics work environment. Flexible, trust based working culture shaped by a US startup operating model. A mission driven company focused on improving online experiences for kids and teens globally. Applicants Privacy Policy
Hands-on Technical Account Manager role focused on delivery, coordination and data. The client £70,000-£80,000 2 days a week in London office Sponsorship is not being provided We're working with a not-for-profit, industry-led organisation bringing together major players from financial services, technology and telecommunications to tackle fraud at scale. Backed by well-known organisations and operating in a highly regulated environment, they run collaborative, data-driven pilot projects with real-world impact. BENEFITS Vitality health insurance Life Insurance and income protection 28 days' holiday plus UK bank holidays Company pension scheme with employer contribution The role This is a hands-on Technical Account Manager role focused on delivery, coordination and data. You'll be the primary operational contact for multiple member organisations, running pilot projects end-to-end: keeping stakeholders engaged, chasing actions, handling incoming datasets, performing basic analysis, and reporting progress clearly and confidently. It's a role for someone who enjoys ownership, momentum, and getting things over the line. What You'll Do Act as the day-to-day operational contact for external partner organisations Run pilot projects from kick-off to close: planning, tracking, chasing actions, managing risks Receive, validate, clean and document datasets from multiple parties Perform basic analysis and reporting (primarily Excel; SQL/Python/R a plus) Produce clear progress updates and insight summaries for senior stakeholders Capture feedback and turn learnings into practical recommendations Work within data-sharing agreements and UK GDPR requirements The candidate You'll be expected to have several years' experience (typically 6+) in roles such as Technical Account Manager, Customer Success, Implementation, Delivery or Partner Operations Strong stakeholder management skills Comfortable working with real-world, imperfect data (Excel expertise essential) Experience in or with regulated environments (e.g. finance, fintech, telecoms, big tech) Highly organised, detail-oriented, and outcomes-focused Confident communicating with senior stakeholders If this sounds like you, then please apply ASAP with your CV to stand the best chance of getting an interview!
Apr 03, 2026
Full time
Hands-on Technical Account Manager role focused on delivery, coordination and data. The client £70,000-£80,000 2 days a week in London office Sponsorship is not being provided We're working with a not-for-profit, industry-led organisation bringing together major players from financial services, technology and telecommunications to tackle fraud at scale. Backed by well-known organisations and operating in a highly regulated environment, they run collaborative, data-driven pilot projects with real-world impact. BENEFITS Vitality health insurance Life Insurance and income protection 28 days' holiday plus UK bank holidays Company pension scheme with employer contribution The role This is a hands-on Technical Account Manager role focused on delivery, coordination and data. You'll be the primary operational contact for multiple member organisations, running pilot projects end-to-end: keeping stakeholders engaged, chasing actions, handling incoming datasets, performing basic analysis, and reporting progress clearly and confidently. It's a role for someone who enjoys ownership, momentum, and getting things over the line. What You'll Do Act as the day-to-day operational contact for external partner organisations Run pilot projects from kick-off to close: planning, tracking, chasing actions, managing risks Receive, validate, clean and document datasets from multiple parties Perform basic analysis and reporting (primarily Excel; SQL/Python/R a plus) Produce clear progress updates and insight summaries for senior stakeholders Capture feedback and turn learnings into practical recommendations Work within data-sharing agreements and UK GDPR requirements The candidate You'll be expected to have several years' experience (typically 6+) in roles such as Technical Account Manager, Customer Success, Implementation, Delivery or Partner Operations Strong stakeholder management skills Comfortable working with real-world, imperfect data (Excel expertise essential) Experience in or with regulated environments (e.g. finance, fintech, telecoms, big tech) Highly organised, detail-oriented, and outcomes-focused Confident communicating with senior stakeholders If this sounds like you, then please apply ASAP with your CV to stand the best chance of getting an interview!
Job Title Engineering Team Lead: C++ Job Description Hello, we're IG Group. We are an FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto.We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth.# Your team Exposure is a business-critical platform at the heart of IG's OTC trading operations, comprising two essential components: Risk Calculation & Management : The system calculates real-time exposure across client positions and automatically manages IG's risk by initiating intelligent hedging orders in the underlying markets. Data & Intelligence : It provides vital real-time data to our trading desks, quants, and risk teams, enabling informed decision-making across the business. The Technology The core platform is built in C++ for low-latency performance, with newer, less time-sensitive components developed in Python. The system encompasses over 60 applications that combine positions and pricing in real-time, executing sophisticated hedging strategies via our DMA execution systems. Our algorithms balance hedging urgency with optimal price performance and minimal market impact. The Challenge & Opportunity We're focused on a critical evolution: enhancing our release maturity and delivery cadence while maintaining the exceptional uptime standards our stakeholders depend on and continuing to deliver high-value features to the business. This requires engineering excellence, strategic thinking, and collaborative problem-solving. What This Means for You You'll work on technology that directly impacts IG's trading performance, collaborating with trading desks, quants, and risk teams. You'll help shape our engineering practices while working with cutting-edge, low-latency systems that process millions of pounds in trades daily. # Your role in the Team's Success Lead the team behind technology that directly impacts IG's trading performance-cutting-edge, low-latency systems processing millions of pounds in trades daily.You'll define the vision for stakeholder success and build an empowered team where engineers own and deliver their work independently. Through mentoring and constructive challenge, you'll develop individuals who confidently engage with trading desks, quants, and risk teams.Your leadership will foster a culture of growth and knowledge sharing while influencing across departments to deliver shared outcomes. You'll also drive significant modernisation opportunities across applications, deployment, and infrastructure-balancing innovation with operational excellence.# What you'll do Build and deliver a team vision - this should encompass both stakeholder wants & needs for the future and a technology roadmap Renovate - the legacy parts (i.e. the core) of the system need renovation so you can release with minimum downtime in the week. At present, it's locked into a two-week release cycle due to low maturity and unacceptably long release downtime Build a collaborative team culture - trust and support each other, be positive in the face of adversity Empower the team - you shouldn't be a single-point-of-anything and should listen, grow, and challenge the team to own and deliver their goals Organise - work with stakeholders and the department head to ensure work is planned, elaborated and executed on time and within budget Hands-on - you must be a hands-on C++ & have some experience with Python; be able to deliver code yourself to production Innovate - as a leader, you'll need to encourage the team to innovate and innovate yourself as well as maintain existing systems Support - ensure that systems run within their agreed SLOs and SLAs and set the standard for the team by example# What you'll need for this role Key Qualification Requirements: Proficient with the latest C++ standards and modern software design practices and principles Experience with, or keen to learn, Python as we use it in our Acceptance framework and some apps Risk management - ideally experience with trading, exposure/risk and hedging execution Experience with renovating legacy systems whilst concurrently delivering on new work Driven - you must want to improve both yourself and the systems you work on Ownership - you will be the key contact for systems and own every win and learn from every failure Curious about our product and the technology, caring about our clients and their user experience and unafraid of the complexity that comes with regulatory risk Excellent written and verbal communication skills with great attention to detail Track record of driving improvement and operational efficiency# How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedbackWe believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach .# The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents Option to participate and create ESG initiatives based on IG Brighter Future FundLearn more about the Perks !# Join us for this exciting journey. Apply now! Number of openings 1
Apr 03, 2026
Full time
Job Title Engineering Team Lead: C++ Job Description Hello, we're IG Group. We are an FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto.We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth.# Your team Exposure is a business-critical platform at the heart of IG's OTC trading operations, comprising two essential components: Risk Calculation & Management : The system calculates real-time exposure across client positions and automatically manages IG's risk by initiating intelligent hedging orders in the underlying markets. Data & Intelligence : It provides vital real-time data to our trading desks, quants, and risk teams, enabling informed decision-making across the business. The Technology The core platform is built in C++ for low-latency performance, with newer, less time-sensitive components developed in Python. The system encompasses over 60 applications that combine positions and pricing in real-time, executing sophisticated hedging strategies via our DMA execution systems. Our algorithms balance hedging urgency with optimal price performance and minimal market impact. The Challenge & Opportunity We're focused on a critical evolution: enhancing our release maturity and delivery cadence while maintaining the exceptional uptime standards our stakeholders depend on and continuing to deliver high-value features to the business. This requires engineering excellence, strategic thinking, and collaborative problem-solving. What This Means for You You'll work on technology that directly impacts IG's trading performance, collaborating with trading desks, quants, and risk teams. You'll help shape our engineering practices while working with cutting-edge, low-latency systems that process millions of pounds in trades daily. # Your role in the Team's Success Lead the team behind technology that directly impacts IG's trading performance-cutting-edge, low-latency systems processing millions of pounds in trades daily.You'll define the vision for stakeholder success and build an empowered team where engineers own and deliver their work independently. Through mentoring and constructive challenge, you'll develop individuals who confidently engage with trading desks, quants, and risk teams.Your leadership will foster a culture of growth and knowledge sharing while influencing across departments to deliver shared outcomes. You'll also drive significant modernisation opportunities across applications, deployment, and infrastructure-balancing innovation with operational excellence.# What you'll do Build and deliver a team vision - this should encompass both stakeholder wants & needs for the future and a technology roadmap Renovate - the legacy parts (i.e. the core) of the system need renovation so you can release with minimum downtime in the week. At present, it's locked into a two-week release cycle due to low maturity and unacceptably long release downtime Build a collaborative team culture - trust and support each other, be positive in the face of adversity Empower the team - you shouldn't be a single-point-of-anything and should listen, grow, and challenge the team to own and deliver their goals Organise - work with stakeholders and the department head to ensure work is planned, elaborated and executed on time and within budget Hands-on - you must be a hands-on C++ & have some experience with Python; be able to deliver code yourself to production Innovate - as a leader, you'll need to encourage the team to innovate and innovate yourself as well as maintain existing systems Support - ensure that systems run within their agreed SLOs and SLAs and set the standard for the team by example# What you'll need for this role Key Qualification Requirements: Proficient with the latest C++ standards and modern software design practices and principles Experience with, or keen to learn, Python as we use it in our Acceptance framework and some apps Risk management - ideally experience with trading, exposure/risk and hedging execution Experience with renovating legacy systems whilst concurrently delivering on new work Driven - you must want to improve both yourself and the systems you work on Ownership - you will be the key contact for systems and own every win and learn from every failure Curious about our product and the technology, caring about our clients and their user experience and unafraid of the complexity that comes with regulatory risk Excellent written and verbal communication skills with great attention to detail Track record of driving improvement and operational efficiency# How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedbackWe believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach .# The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents Option to participate and create ESG initiatives based on IG Brighter Future FundLearn more about the Perks !# Join us for this exciting journey. Apply now! Number of openings 1
Fleet Performance Engineer - London or Antwerp CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 240 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO 2 footprint of all Western European RoRo operators. CLdN's cargo and multimodal services have a Europe-wide reach using CLdN's extensive network of ships, terminals and equipment. CLdN's 3,000 employees ensure that it fulfils its mission: to excel as an integrated provider of maritime links. Are you data minded and wishing to assist us in optimizing our operational efficiency? Then CLdN might be a good fit for you! CLdN offers a challenging job where you can help drive visible, recognizable change as a Fleet Performance Engineer. You will become part of a growing team with a young spirit, who are committed in extracting patterns and insights from data by the application of domain expertise, tools and technology. With a focus on vessel performance and optimization, you will develop and improve software solutions related to the operational efficiency of CLdN's seagoing vessels. Your software and Maritime insights will accelerate the transformation of our business to become a more energy efficient ship operator, reducing our greenhouse gas emissions. You will be based in our London or Antwerp Office. Summarized you may expect to: Follow-up the performance of 30+ vessels, based on data. This task will involve writing and using in-house developed software. Analyze/monitor the operational efficiency data and identify improvement potentials. Monitor data quality aspects for high-frequency sensor data and manual input data. Create KPI's to systematically report and track vessel efficiency. Manage and optimize the fleet's emissions and ensure compliance with European emission frameworks. Manage data reporting to external parties such as EU-MRV, IMODCS and FuelEU Maritime reporting. Co-operate with businesses and internal or external stakeholders, as necessary. You will play a key role in projects such as listed hereunder: Operational: Based on data stored in real-time at high frequencies, identify and follow-up on inefficiencies across our fleet, create and deploy models to check sensor malfunction, maintain close contact with crew onboard to further improve on fuel efficiency, ensure proper emission reporting to government bodies (e.g. MRV reporting), build performance reports for vessels, etc. Technical: Determine which vessels to prioritize for hull inspections or cleanings, estimate the efficiency gains when implementing changes such as applying high-quality paint, assist on determining optimal newbuild configurations (e.g. single screw or twin screw, installation of wind turbines on board, etc.). Your profile M.S.C. and/or PhD degree in computer science, (maritime) engineering, mathematics, or any related field. Knowledge of software-writing concepts such as object-oriented programming and unit-testing Experience with Python Experience with SQL is a strong plus Affinity with the logistic, aeronautical or maritime sector is a plus Interested and willing to analyse business processes and reporting methods and seek for improvements which support the relevant business stakeholders. Interested and willing to deep dive into the field of ships performance monitoring (hydrodynamics, engine configurations, etc.) Interested and willing to work in a fast-paced environment A good team player, balanced with the autonomy and motivation to produce individually. Ability to communicate (data) insights and analytics to business stakeholders. Fluent proficiency in both written and oral English. Our offer A position with a direct and significant impact on reducing operational costs. A stimulating working environment with positive and committed co-workers. Salary package aligned with the candidate's experience and skill set. A can-do attitude working environment and quick decision making allowing you to develop your career within our group. Contact Are you interested in learning more about this position or do you want to apply? Do not hesitate to send your CV to with reference "Fleet Performance Engineer".
Apr 03, 2026
Full time
Fleet Performance Engineer - London or Antwerp CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 240 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO 2 footprint of all Western European RoRo operators. CLdN's cargo and multimodal services have a Europe-wide reach using CLdN's extensive network of ships, terminals and equipment. CLdN's 3,000 employees ensure that it fulfils its mission: to excel as an integrated provider of maritime links. Are you data minded and wishing to assist us in optimizing our operational efficiency? Then CLdN might be a good fit for you! CLdN offers a challenging job where you can help drive visible, recognizable change as a Fleet Performance Engineer. You will become part of a growing team with a young spirit, who are committed in extracting patterns and insights from data by the application of domain expertise, tools and technology. With a focus on vessel performance and optimization, you will develop and improve software solutions related to the operational efficiency of CLdN's seagoing vessels. Your software and Maritime insights will accelerate the transformation of our business to become a more energy efficient ship operator, reducing our greenhouse gas emissions. You will be based in our London or Antwerp Office. Summarized you may expect to: Follow-up the performance of 30+ vessels, based on data. This task will involve writing and using in-house developed software. Analyze/monitor the operational efficiency data and identify improvement potentials. Monitor data quality aspects for high-frequency sensor data and manual input data. Create KPI's to systematically report and track vessel efficiency. Manage and optimize the fleet's emissions and ensure compliance with European emission frameworks. Manage data reporting to external parties such as EU-MRV, IMODCS and FuelEU Maritime reporting. Co-operate with businesses and internal or external stakeholders, as necessary. You will play a key role in projects such as listed hereunder: Operational: Based on data stored in real-time at high frequencies, identify and follow-up on inefficiencies across our fleet, create and deploy models to check sensor malfunction, maintain close contact with crew onboard to further improve on fuel efficiency, ensure proper emission reporting to government bodies (e.g. MRV reporting), build performance reports for vessels, etc. Technical: Determine which vessels to prioritize for hull inspections or cleanings, estimate the efficiency gains when implementing changes such as applying high-quality paint, assist on determining optimal newbuild configurations (e.g. single screw or twin screw, installation of wind turbines on board, etc.). Your profile M.S.C. and/or PhD degree in computer science, (maritime) engineering, mathematics, or any related field. Knowledge of software-writing concepts such as object-oriented programming and unit-testing Experience with Python Experience with SQL is a strong plus Affinity with the logistic, aeronautical or maritime sector is a plus Interested and willing to analyse business processes and reporting methods and seek for improvements which support the relevant business stakeholders. Interested and willing to deep dive into the field of ships performance monitoring (hydrodynamics, engine configurations, etc.) Interested and willing to work in a fast-paced environment A good team player, balanced with the autonomy and motivation to produce individually. Ability to communicate (data) insights and analytics to business stakeholders. Fluent proficiency in both written and oral English. Our offer A position with a direct and significant impact on reducing operational costs. A stimulating working environment with positive and committed co-workers. Salary package aligned with the candidate's experience and skill set. A can-do attitude working environment and quick decision making allowing you to develop your career within our group. Contact Are you interested in learning more about this position or do you want to apply? Do not hesitate to send your CV to with reference "Fleet Performance Engineer".
