Job Title: SC Cleared Data Integration Architect (Primary Care Data) Location: Hybrid/ 2-3 days near Bath Duration: 6 months with possible extension Rate: Up to £704 per day via an approved umbrella company Must be willing and eligible to go through the SC Clearance process Our client, a leading organisation in healthcare technology, is hiring for a reputable company to support their mission of modernising healthcare data platforms. We are seeking a skilled Data Integration Architect with strong primary care data domain expertise to lead the design and delivery of scalable, secure, and interoperable data solutions. What you'll be doing: Define end-to-end data integration architectures across primary, community, and secondary care systems. Design API-led, event-driven, and batch integration patterns supporting clinical, operational, and analytical needs. Develop logical and physical data flow diagrams, interface specifications, and establish standards and reusable patterns. Lead integration involving GP systems (appointments, prescribing, demographics), ensuring NHS standards (FHIR, HL7, SNOMED CT, dm+d). Support population health, quality reporting, and analytics pipelines. Act as technical authority across multiple projects, guiding implementation and ensuring architectural alignment. Collaborate with stakeholders to ensure solutions meet clinical safety, security, and governance standards (GDPR, NHS IG, DSPT). What you'll bring: Proven experience as a Data Integration Architect or Lead Integration Engineer, with a focus on primary care systems. Hands-on expertise with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations. Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP). Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics use cases. Familiarity with healthcare security standards and clinical safety processes. Desirable skills: Experience modernising legacy healthcare platforms. Exposure to population health management or integrated care systems. Knowledge of Infrastructure as Code, CI/CD pipelines, and agile delivery frameworks. Certification in TOGAF or similar architecture frameworks. Join a forward-thinking team committed to transforming healthcare data. Apply now to be part of this impactful journey!
Apr 04, 2026
Full time
Job Title: SC Cleared Data Integration Architect (Primary Care Data) Location: Hybrid/ 2-3 days near Bath Duration: 6 months with possible extension Rate: Up to £704 per day via an approved umbrella company Must be willing and eligible to go through the SC Clearance process Our client, a leading organisation in healthcare technology, is hiring for a reputable company to support their mission of modernising healthcare data platforms. We are seeking a skilled Data Integration Architect with strong primary care data domain expertise to lead the design and delivery of scalable, secure, and interoperable data solutions. What you'll be doing: Define end-to-end data integration architectures across primary, community, and secondary care systems. Design API-led, event-driven, and batch integration patterns supporting clinical, operational, and analytical needs. Develop logical and physical data flow diagrams, interface specifications, and establish standards and reusable patterns. Lead integration involving GP systems (appointments, prescribing, demographics), ensuring NHS standards (FHIR, HL7, SNOMED CT, dm+d). Support population health, quality reporting, and analytics pipelines. Act as technical authority across multiple projects, guiding implementation and ensuring architectural alignment. Collaborate with stakeholders to ensure solutions meet clinical safety, security, and governance standards (GDPR, NHS IG, DSPT). What you'll bring: Proven experience as a Data Integration Architect or Lead Integration Engineer, with a focus on primary care systems. Hands-on expertise with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations. Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP). Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics use cases. Familiarity with healthcare security standards and clinical safety processes. Desirable skills: Experience modernising legacy healthcare platforms. Exposure to population health management or integrated care systems. Knowledge of Infrastructure as Code, CI/CD pipelines, and agile delivery frameworks. Certification in TOGAF or similar architecture frameworks. Join a forward-thinking team committed to transforming healthcare data. Apply now to be part of this impactful journey!
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 4+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Global Benefits to Help You Do Your Best Work Remote-First Work Robust Insurance Benefits Flexible Time Away The Best Teammates Open and Honest Culture Well-Being and Growth Leadership Principles Define How we Act Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They're an extension of our company values which we all live each day. You can learn more here . Confluent is Remote-First We care about how you work, not where. Confluent is built for flexibility, so we encourage you to apply from anywhere. But we also know that trust and purpose are built face-to-face. That's why we combine remote freedom with in-person onboarding to jumpstart your journey. It's the best of both worlds: the autonomy you want with the community you need. Read why we prioritize in-person onboarding Compensation At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here .
Apr 04, 2026
Full time
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. What You Will Do: Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud If you love the hum of big data systems covering 10,000's of instances, thinking about how to make them run as smoothly and securely as possible, and want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in What You Will Bring: BS, MS, or PhD in computer science or a related field, or equivalent work experience 4+ years of relevant cloud infrastructure/cloud networking experience Strong fundamentals in distributed systems design and development Experience building and operating large-scale systems Solid understanding of basic systems operations (disk, network, operating systems, etc) A self-starter with the ability to work effectively in teams Proficiency in Go, Python, C++, or other statically typed languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let's get in motion. Come As You Are Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Global Benefits to Help You Do Your Best Work Remote-First Work Robust Insurance Benefits Flexible Time Away The Best Teammates Open and Honest Culture Well-Being and Growth Leadership Principles Define How we Act Our Leadership Principles outline a shared set of expectations for how we think and behave at Confluent. They're an extension of our company values which we all live each day. You can learn more here . Confluent is Remote-First We care about how you work, not where. Confluent is built for flexibility, so we encourage you to apply from anywhere. But we also know that trust and purpose are built face-to-face. That's why we combine remote freedom with in-person onboarding to jumpstart your journey. It's the best of both worlds: the autonomy you want with the community you need. Read why we prioritize in-person onboarding Compensation At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here .
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. 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 . click apply for full job details
Apr 04, 2026
Full time
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. 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 . click apply for full job details
As a Regulatory Data Team Leader, you will lead a cross-functional team in the delivery of regulatory reporting software solutions. Full-time Closes 05/03/2026 The Data Engineering department is responsible for writing software and reporting systems to communicate jurisdiction-specific information to international regulators. They are developed to high standards, tuned for performance and reliability with low tolerances for error. We're using an architecture that includes high-throughput, database-centric distributed applications, that supports batch reporting, integrates with SOAP and REST APIs, and features Windows and web services, as well as web applications. You will be responsible for ensuring the team's output meets stringent regulatory reporting requirements while upholding high standards of technical design. This role is eligible for inclusion in the Company's hybrid working policy. Preferred Skills and Experience Strong experience with GCP and BigQuery, demonstrating a deep understanding of cloud architecture. Experience working with various AI tools to enhance workflows and processes, demonstrating a practical application of AI in projects. Experience of leading a geographically distributed software delivery team. Highly organised and adaptable; adept at prioritisation, delivery, and driving efficiency in a high-throughput and fast-paced environment. Maintain a positive outlook whilst adapting to rapidly changing requirements. Experience of driving collaboration across key stakeholders to ensure requirements are clarified, solution designs are produced and implemented within the required timeframes. Start up mindset with excellent communication and interpersonal skills that inspire and motivate teams. Experience in the design and implementation of software solutions within a cloud architecture would be advantageous. Experience of working within a regulatory or commercial gambling environment. Commercial database development experience coupled with optimisation skills, using SQL Server 2014 or later, T-SQL, or BigQuery and GoogleSQL. What you will be doing Managing team performance; providing mentoring and coaching and supporting development goals. Supporting the technical lead and the team in adopting AI solutions to enhance workflows and reporting capabilities. Ensuring governance is in place so that the output of the team meets regulatory reporting requirements whilst adhering to best design practices. Owning the delivery of reporting solutions to meet regulatory requirements. Collaborating with the Finance and Compliance departments and other stakeholders as necessary to prioritise the delivery of work. Overseeing risks, issues, and external team dependencies through to completion. Identifying and implementing improvements to working practices, processes, and deliverables to support the efficient delivery of high-quality software. Encouraging a collaborative, respectful, and supportive working environment. Providing management with status updates of team deliveries and activities, and escalating issues that risk the timely delivery of project milestones. Gaining an understanding of the existing regulatory reporting systems; both the regulatory requirements and the interpretations which have been implemented. Bonus Eye care and Flu Vaccinations Life Assurance Life at bet365 We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.
Apr 04, 2026
Full time
As a Regulatory Data Team Leader, you will lead a cross-functional team in the delivery of regulatory reporting software solutions. Full-time Closes 05/03/2026 The Data Engineering department is responsible for writing software and reporting systems to communicate jurisdiction-specific information to international regulators. They are developed to high standards, tuned for performance and reliability with low tolerances for error. We're using an architecture that includes high-throughput, database-centric distributed applications, that supports batch reporting, integrates with SOAP and REST APIs, and features Windows and web services, as well as web applications. You will be responsible for ensuring the team's output meets stringent regulatory reporting requirements while upholding high standards of technical design. This role is eligible for inclusion in the Company's hybrid working policy. Preferred Skills and Experience Strong experience with GCP and BigQuery, demonstrating a deep understanding of cloud architecture. Experience working with various AI tools to enhance workflows and processes, demonstrating a practical application of AI in projects. Experience of leading a geographically distributed software delivery team. Highly organised and adaptable; adept at prioritisation, delivery, and driving efficiency in a high-throughput and fast-paced environment. Maintain a positive outlook whilst adapting to rapidly changing requirements. Experience of driving collaboration across key stakeholders to ensure requirements are clarified, solution designs are produced and implemented within the required timeframes. Start up mindset with excellent communication and interpersonal skills that inspire and motivate teams. Experience in the design and implementation of software solutions within a cloud architecture would be advantageous. Experience of working within a regulatory or commercial gambling environment. Commercial database development experience coupled with optimisation skills, using SQL Server 2014 or later, T-SQL, or BigQuery and GoogleSQL. What you will be doing Managing team performance; providing mentoring and coaching and supporting development goals. Supporting the technical lead and the team in adopting AI solutions to enhance workflows and reporting capabilities. Ensuring governance is in place so that the output of the team meets regulatory reporting requirements whilst adhering to best design practices. Owning the delivery of reporting solutions to meet regulatory requirements. Collaborating with the Finance and Compliance departments and other stakeholders as necessary to prioritise the delivery of work. Overseeing risks, issues, and external team dependencies through to completion. Identifying and implementing improvements to working practices, processes, and deliverables to support the efficient delivery of high-quality software. Encouraging a collaborative, respectful, and supportive working environment. Providing management with status updates of team deliveries and activities, and escalating issues that risk the timely delivery of project milestones. Gaining an understanding of the existing regulatory reporting systems; both the regulatory requirements and the interpretations which have been implemented. Bonus Eye care and Flu Vaccinations Life Assurance Life at bet365 We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.
Overview We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems - Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Build POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 2-5 years of total experience in software development, with at least 2 years in AI/ML systems engineering or Generative AI Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline What We Offer A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers" and Great Place to Work Certified (GPTW) 2023 & 2024.
Apr 04, 2026
Full time
Overview We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems - Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Build POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 2-5 years of total experience in software development, with at least 2 years in AI/ML systems engineering or Generative AI Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline What We Offer A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers" and Great Place to Work Certified (GPTW) 2023 & 2024.
Overview We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time Flexible and remote work Employee-centric culture Work-life balance Generous earnings Opportunities for growth About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: GitHub Actions, Jenkins) AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Partner with Product, Design and ML teams to translate conceptual AI features into scalable user-facing products Provide technical mentorship and guide team members in system design, architecture reviews and AI best practices Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 7-12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems A 'no-compromise' attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance and cost optimisation Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Experience with GitHub Actions, Docker, Kubernetes and cloud-native deployments Are obsessed with clean code, system scalability and performance optimisation Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline Bonus Skills / Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam) Mobile and front-end web application development experience What We Offer At Newpage, we're building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer: A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers"andGreat Place to Work Certified (GPTW) 2023 & 2024.
Apr 04, 2026
Full time
Overview We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. Location: Bristol, Hybrid Type: Full-time Flexible and remote work Employee-centric culture Work-life balance Generous earnings Opportunities for growth About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be a 'Great Place to Work ' certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives. Your Mission We're seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives. What You'll Do Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases Build multi-modal workflows using text, image, voice and video Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost and latency Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: GitHub Actions, Jenkins) AI Assisted Development, Context Engineering & Innovation Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development) Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams. Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise) Partner with Product, Design and ML teams to translate conceptual AI features into scalable user-facing products Provide technical mentorship and guide team members in system design, architecture reviews and AI best practices Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques What You Bring 7-12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems A 'no-compromise' attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance and cost optimisation Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost Proven track record developing and deploying GenAI/LLM-based systems in production Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques End-to-end implementation experience using vector databases and retrieval pipelines Experience with GitHub Actions, Docker, Kubernetes and cloud-native deployments Are obsessed with clean code, system scalability and performance optimisation Can balance rapid prototyping with long-term maintainability Excel at working independently while collaborating effectively across teams Stay ahead of the curve on new AI models, frameworks and best practices Have a founder's mindset and love solving ambiguous, high-impact technical challenges Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical discipline Bonus Skills / Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam) Mobile and front-end web application development experience What We Offer At Newpage, we're building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer: A people-first culture - Supportive peers, open communication and a strong sense of belonging Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges Balance that lasts - We respect your time and support a healthy integration of work and life Room to grow - Opportunities for learning, leadership and career development, shaped around you Meaningful rewards - Competitive compensation that recognises both contribution and potential Ready to Apply? Let's build the future of health together. Apply below or reach out to: More about Newpage Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development - utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. Newpage is recognized by 'CIO's Review' as"Top 50 Promising Healthcare Solution Providers"andGreat Place to Work Certified (GPTW) 2023 & 2024.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Apr 03, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. We areseekinga highly skilled and hands on Cloud Network Architect to join WSP's Global IT organization supporting its internal employees. Reporting to the manager of Network Architecture & Design, you will be responsible for the design, evolution, governance, and implementation of enterprise cloud networking solutions, with a primary focus on Microsoft Azure. We are looking for a practitioner who combines strategic thinking with real world engineering experience. You will design and build scalable, secure, and resilient cloud connectivity services that support WSP's global operations and Zero Trust ambitions. You will also partner closely with platform engineering to embed DevOps and automation practices into cloud network delivery and operations. A little more about your role Design end to end Azure networking architectures, including segmentation, routing, DNS, private access, and network security. Architect and maintain global cloud connectivity patterns. Define cloud networking standards, reference architectures, guardrails, and reusable design patterns. Collaborate with Security Architecture to design identity driven, Zero Trust aligned network controls. Serve as architecture authority for cloud networking across major programs and initiatives. Build, configure, and optimize cloud networking components. Deploy, tune, and secure cloud firewalls, proxies, and enforcement points. Troubleshoot complex cloud and hybrid network issues across L3-L7. Validate resiliency, DR, and continuity plans through hands on testing. Develop and maintain Infrastructure as Code for cloud network provisioning using modular, reusable patterns. Integrate cloud network builds into CI/CD workflows including automated testing and promotion between environments. Implement automated baseline checks, compliance controls, configuration consistency, and drift detection using policy as code and guardrails. Build automation for operational tasks and standard remediation to reduce manual toil. Implement and maintain telemetry/observability pipelines to enable proactive detection and performance optimization. Champion reusable modules, automation patterns, GitOps practices, and engineering best practices across teams. Optimize network performance, routing, and traffic flows across cloud and hybrid landscapes. Provide expert guidance to Network Engineers, Cloud Engineers, project managers, and business stakeholders. Evaluate emerging cloud networking technologies and influence strategic roadmaps. Mentor engineering teams developing cloud first skills and modern automation capabilities. What we will be looking for you to demonstrate The ideal candidate would meet all, or most of the below criteria: Bachelor's degree in computer science, Information Technology, Engineering, or equivalent experience. Significant practical, hands on network engineering and architecture experience. Deep expertise in Microsoft Azure networking. Strong understanding of hybrid connectivity patterns and datacenter interconnect architectures. Experience integrating cloud networks with SSE/SASE platforms (Zscaler ZIA/ZPA preferred). Strong understanding of segmentation models, identity based access, and cloud native security policies. Strong proficiency with Terraform, Ansible, GitHub, and CI/CD workflows. Experience with GitOps practices, modular IaC design, and automated governance controls. Scripting and automation skills and experience with API driven workflows. Knowledge of other clouds (AWS, GCP, OCI) is beneficial. Experience with container networking is an advantage. Strong architectural documentation and diagramming capability. Ability to communicate complex designs to both technical and non technical audiences. Comfortable collaborating within a large, globally distributed enterprise. Imagine a better future for you and a better future for us all. Join our close knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Overview Senior/Lead Data Solutions Architect Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description About us We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. In 2024, Transform acquired Cadence Innova, the UK's leading public sector change consultancy. The result is a fresh kind of partner: together, we're able to deliver change from the very first ideas through to deployment-building on our deep relationships at every level of government. We're part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand. If you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. The Role: Transform are looking for someone who can serve as the Data Solutions Architect, leading on projects involving solution implementations such as SCVs, CDPs, Data Lakes and data models to support application development and to power clients marketing and sales activities. The ideal person will understand internal and external client needs, designing data solutions that allow customers to implement systems for their technology business applications. This involves performing data modelling, analysis and planning to implement a data management and quality framework that meets business needs. This person would act as a bridge between Enterprise Architecture and Data Engineering teams. The data architect presents and translates the data management framework design that will meet the client business requirements. Key Responsibilities Focus on data architecture design, data modelling and schema leveraging data architecture best practices, data architecture guides and advice and guidance to the data engineering team and clients Helping to scope and define the team and client's enterprise data management solution from conceptual, logical and physical data models and schemas Working with clients to understand needs, and best implement that with our available technology solutions Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering Constantly looking at new technologies and approaches that improve what we do Managing quality of outputs Planning and resourcing multiple projects simultaneously Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes Working with a range of data sources such as CRM, sales, research, and HR data Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such as real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards for the organisation to support client needs Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir Managing and motivating teams and individuals Understanding and application of statistical and analytical methods Ability to lead, and to work well as part of, a team using the agile methodology Experience with Data Analysis and governance Our culture and our benefits Our culture is built on: Being one team; looking out for each other as a team The world never stops changing and we'll never stop learning Infinity & Beyond; we're crazy ambitious, not afraid to fail along the way (it's just falling with style) Integrity is everything; we're honest with each other and with our clients Diversity is our superpower; everyone's story is different, and we celebrate differences We're all in; we take on tough, complex challenges with lots of moving parts and we're committed to the work, our clients and each other Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work & electric car schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package At Transform we believe in a culture of inclusivity , we celebrate difference and believe that diversity makes our business more relevant , our work more meaningful and our people more empowered . We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process. If this sounds like you, please get in touch to discuss in more detail. Use of AI in CV and Interviews While we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV. We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!
Apr 03, 2026
Full time
Overview Senior/Lead Data Solutions Architect Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description About us We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. In 2024, Transform acquired Cadence Innova, the UK's leading public sector change consultancy. The result is a fresh kind of partner: together, we're able to deliver change from the very first ideas through to deployment-building on our deep relationships at every level of government. We're part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand. If you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. The Role: Transform are looking for someone who can serve as the Data Solutions Architect, leading on projects involving solution implementations such as SCVs, CDPs, Data Lakes and data models to support application development and to power clients marketing and sales activities. The ideal person will understand internal and external client needs, designing data solutions that allow customers to implement systems for their technology business applications. This involves performing data modelling, analysis and planning to implement a data management and quality framework that meets business needs. This person would act as a bridge between Enterprise Architecture and Data Engineering teams. The data architect presents and translates the data management framework design that will meet the client business requirements. Key Responsibilities Focus on data architecture design, data modelling and schema leveraging data architecture best practices, data architecture guides and advice and guidance to the data engineering team and clients Helping to scope and define the team and client's enterprise data management solution from conceptual, logical and physical data models and schemas Working with clients to understand needs, and best implement that with our available technology solutions Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering Constantly looking at new technologies and approaches that improve what we do Managing quality of outputs Planning and resourcing multiple projects simultaneously Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes Working with a range of data sources such as CRM, sales, research, and HR data Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such as real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Experience with any of the following: Azure, AWS and GCP cloud database technologies Design optimum data models, data dictionaries and metadata systems to support business needs Define data architecture standards for the organisation to support client needs Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir Managing and motivating teams and individuals Understanding and application of statistical and analytical methods Ability to lead, and to work well as part of, a team using the agile methodology Experience with Data Analysis and governance Our culture and our benefits Our culture is built on: Being one team; looking out for each other as a team The world never stops changing and we'll never stop learning Infinity & Beyond; we're crazy ambitious, not afraid to fail along the way (it's just falling with style) Integrity is everything; we're honest with each other and with our clients Diversity is our superpower; everyone's story is different, and we celebrate differences We're all in; we take on tough, complex challenges with lots of moving parts and we're committed to the work, our clients and each other Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work & electric car schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package At Transform we believe in a culture of inclusivity , we celebrate difference and believe that diversity makes our business more relevant , our work more meaningful and our people more empowered . We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process. If this sounds like you, please get in touch to discuss in more detail. Use of AI in CV and Interviews While we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV. We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!
Your Mission The Principal Architect plays a key role in driving growth across the Cloud & Infrastructure Practice. We're looking for a highly technical leader to shape our solutions and services strategy alongside the Practice Director. You'll act as the technical authority across Professional and Managed Services, guiding technology choices and leading our approach across key vendors. You'll introduce new technologies, evolve our capabilities, and stay highly visible with internal and external stakeholders. This role is ideal for a senior or lead consultant ready to step away from day to day delivery and move into a strategic and forward looking position. What you'll be doing Build and maintain technical relationships with key stakeholders within customers and strategic vendors Serve as technical authority across Professional Services and Managed Services for post sale customer engagements. Provide senior level technical escalation for the PMO and Managed Service operations teams. Collaborate with Professional and Managed Services leadership to implement new and improve existing service models. Support the Practice Director on technical strategy and emerging technology adoption. Taking a leading role in creating and embedding new packaged service offerings. Build and maintain technical training and certification pathways for technical team skills development. Undertake knowledge sharing and technical mentoring to aid skills development across technical teams. Define, maintain, and standardise documentation, operating procedures, and implementation best practices. Oversee demo and training lab environments for the Practice, support customer demonstrations as needed. Collaborate with the 'boxxe Labs' product team to expand the portfolio of in-house developed software platforms that differentiate us in the market. What experience we think you'll need 5+ years' experience in a senior or lead consultant role, implementing large and complex infrastructure solutions in customer environments Knowledge of key cloud technologies (cloud services, compute, data, storage, virtualisation,) Certified to expert level in at least one of Microsoft Azure, VMware, Dell, and/or HPE. Familiarity with infrastructure-as-code and IT automation tools Strong organisational skills Excellent quality of documentation Exemplary communication skills Flexibility to travel throughout the UK when needed Matured commercial awareness Ability to influence customers, vendors, and colleagues Familiarity with any AI/ML frameworks, Kubernetes, or other cloud services (AWS, GCP etc.) is a benefit> At boxxe we believe that business should be about more than just profits. Sustainability is a core value. We are committed to reducing our environmental impact, encouraging inclusive working environments, and trading ethically. Everyone at boxxe is responsible for considering the impact of their actions on the environment and for reducing our carbon footprint through embracing Work from Anywhere (in the UK) principles, minimising travel by using virtual technology and adopting sustainable practices. boxxe embraces diversity. As an equal opportunity employer, we are committed to building a team that represents a variety of backgrounds, perspectives, and skills. boxxe does not discriminate based on race, religion, colour, national origin, sexual orientation, gender identity, age, marital status, veteran status, or disability status. All our employment is based on qualification, excellence, and business need. Select Select
Apr 03, 2026
Full time
Your Mission The Principal Architect plays a key role in driving growth across the Cloud & Infrastructure Practice. We're looking for a highly technical leader to shape our solutions and services strategy alongside the Practice Director. You'll act as the technical authority across Professional and Managed Services, guiding technology choices and leading our approach across key vendors. You'll introduce new technologies, evolve our capabilities, and stay highly visible with internal and external stakeholders. This role is ideal for a senior or lead consultant ready to step away from day to day delivery and move into a strategic and forward looking position. What you'll be doing Build and maintain technical relationships with key stakeholders within customers and strategic vendors Serve as technical authority across Professional Services and Managed Services for post sale customer engagements. Provide senior level technical escalation for the PMO and Managed Service operations teams. Collaborate with Professional and Managed Services leadership to implement new and improve existing service models. Support the Practice Director on technical strategy and emerging technology adoption. Taking a leading role in creating and embedding new packaged service offerings. Build and maintain technical training and certification pathways for technical team skills development. Undertake knowledge sharing and technical mentoring to aid skills development across technical teams. Define, maintain, and standardise documentation, operating procedures, and implementation best practices. Oversee demo and training lab environments for the Practice, support customer demonstrations as needed. Collaborate with the 'boxxe Labs' product team to expand the portfolio of in-house developed software platforms that differentiate us in the market. What experience we think you'll need 5+ years' experience in a senior or lead consultant role, implementing large and complex infrastructure solutions in customer environments Knowledge of key cloud technologies (cloud services, compute, data, storage, virtualisation,) Certified to expert level in at least one of Microsoft Azure, VMware, Dell, and/or HPE. Familiarity with infrastructure-as-code and IT automation tools Strong organisational skills Excellent quality of documentation Exemplary communication skills Flexibility to travel throughout the UK when needed Matured commercial awareness Ability to influence customers, vendors, and colleagues Familiarity with any AI/ML frameworks, Kubernetes, or other cloud services (AWS, GCP etc.) is a benefit> At boxxe we believe that business should be about more than just profits. Sustainability is a core value. We are committed to reducing our environmental impact, encouraging inclusive working environments, and trading ethically. Everyone at boxxe is responsible for considering the impact of their actions on the environment and for reducing our carbon footprint through embracing Work from Anywhere (in the UK) principles, minimising travel by using virtual technology and adopting sustainable practices. boxxe embraces diversity. As an equal opportunity employer, we are committed to building a team that represents a variety of backgrounds, perspectives, and skills. boxxe does not discriminate based on race, religion, colour, national origin, sexual orientation, gender identity, age, marital status, veteran status, or disability status. All our employment is based on qualification, excellence, and business need. Select Select
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
Apr 03, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Manager / Senior Manager - Data ManagementAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Join our Data & AI Strategy team and be part of the future of AI consulting, where we're not just advising clients, we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands-on experience in AI development, people who not only understand the technology but can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLEThis role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next-generation data, analytics and AI platforms - You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions - You will create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure-as-Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - You will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - You will champion user-centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - We leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks.As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc.You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build end-to-end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise-grade data platforms. In this role, you will bring deep expertise in cloud-native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data-driven success. YOUR PROFILEAs a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team which has diverse backgrounds, perspectives and strengths.Key Skills Growth mindset and curiosity - You're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - You have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - You're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - Whether through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools.Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures. Infrastructure & Automation: Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns: Solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation: Experience migrating legacy systems to cloud-native data stores. Consulting & Commercial Acumen - Strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / EligibleDesirable Experience Domain Experience: Primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value Proven track record of applying Agile methodologies and leading cross-functional teams to deliver complex data and AI solutions. A clear pathway for professional certification (e.g., DAMA) and ongoing learning via our Data Academy and AI upskilling
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Apr 03, 2026
Full time
SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn's log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. Responsibilities Customer Deployment & Technical Success Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption. Conduct architectural reviews to define deployment strategies and identify integration opportunities. Own the post sale technical relationship into steady state operations, delivering against technical success criteria tied to quantifiable security outcomes. Travel to UK and international customer sites approximately 25% of the time. Renewal Support & Customer Value Quantification Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes. Proactively health check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations. Collaborate with Sales Engineering to ensure continuity from pre sale technical validation through to post sale deployment. Software Development & Integration Engineering Write production quality software to build and maintain integrations across third party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments. Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows. Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns. Detection Engineering & SIEM Development Write, tune, and maintain high fidelity, low noise SIEM detection rules by translating threat intelligence and attacker behaviour. Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations. Iterate on rules post deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture. Customer Success & Relationship Management Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture. Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting. Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally. Pre Sales & Proof of Value Support Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn. Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions. Product & Analytics Feedback Act as a direct conduit between the field and product teams, raising well evidenced bugs, feature requests, and detection improvements. Participate in User Acceptance Testing (UAT) for new platform releases to provide field informed quality assurance. Identify cross environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential 3-6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function. Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred. Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback. Hands on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs. Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts. Experience deploying or operating software in containerised environments (Docker, Kubernetes). Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non technical stakeholders up to C-level. Based in the United Kingdom with the right to work in the UK. Highly Desirable Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company. Experience supporting customer renewal engagements from a technical perspective - building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations. Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. What Success Looks Like Within your first 90 days, you will have completed at least one end to end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn's shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn's most strategic accounts. What We Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Apr 03, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build, and deploy production grade AI systems powered by large language models. This role sits at the intersection of software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You'll work with cutting edge LLM technologies, building advanced AI systems that solve complex real world problems through multi agent orchestration, intelligent tool integration, and robust production workflows. You'll be crafting the orchestration layer that makes these systems production ready-handling failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You'll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability Build and maintain production grade AI applications with clean code, appropriate error handling, APIs, and data pipelines Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE) Implement feedback loops and observability to continuously improve system performance Craft effective prompts and optimize for latency, cost, and quality across different model providers and configurations Required Skills and Experience Hands on experience building applications with LLM APIs and deep understanding of their capabilities, limitations, and failure modes Practical implementation of RAG architectures, vector databases, knowledge graphs and prompt engineering Experience building multi step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, Azure) Understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines Solid foundations and understanding of production grade, cloud native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM based systems Ability to work with ambiguity and optimise non deterministic systems through a process of experimentation and evaluation while balancing latency/cost/quality tradeoffs Nice to Haves Experience with AI assisted coding using tools like Claude Code, OpenAI Codex, Github Copilot Experience with fine tuning LLMs for domain specific applications and knowledge of when fine tuning is preferable to prompt engineering or RAG Experience with real time streaming, multimodal models, or search technologies like Elasticsearch Familiarity with model observability tools (LangSmith, Weights & Biases) and cost optimization strategies Experience in specialized verticals (financial services, energy, healthcare, legal, retail) with understanding of compliance, security, and responsible AI practices Experience with setting up tool calling agents, handoffs, and guardrails Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
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. 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. 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
Apr 03, 2026
Full time
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. 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. 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
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 03, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
Apr 03, 2026
Full time
Staff AI/ML Engineer Next-Gen SaaS Platform London (Hybrid) £100-145k We're hiring Staff AI/ML Engineers to help build cutting edge LLM powered systems and agentic AI workflows for a rapidly growing PE Backed business who have developed an AI Driven SaaS platform used by 1,000+ global customers. They're scaling rapidly, now with 100+ people in tech across London and the US, and recently brought on a Director of AI Engineering to drive innovation in with a brand new squad. This role in particular focuses on building production AI systems that analyse complex documents, extract structured knowledge, and automate high value workflows using modern LLM infrastructure. What you'll be doing: As their Staff AI/ML Engineer, you'll play a key role in designing and delivering advanced AI systems that power intelligent document analysis, knowledge extraction, and AI driven automation across the platform. Working closely with product and engineering teams, you'll help shape the company's AI architecture, tooling, and best practices while building scalable ML systems deployed in production. Your day to day will include: Design and deploy LLM powered systems for information extraction, document understanding, and knowledge retrieval Build agentic AI workflows to orchestrate LLMs, tools, and structured data for complex automation Develop and optimize ML pipelines and data workflows for training, evaluation, and deployment Leverage AI platforms like AWS Bedrock, SageMaker, and Vertex AI to scale capabilities Collaborate with engineers and product teams to integrate AI into the platform Mentor engineers and guide AI/ML best practices, architecture, and strategy What they're looking for in you: Strong experience in AI/ML engineering and deploying production ML systems Experience with LLMs, agentic AI frameworks, or information extraction pipelines Proficiency in Python (Java or Rust a bonus) Familiarity with cloud AI platforms (AWS, GCP, or Azure) and MLOps workflows Passion for using AI to solve real world problems What's in it for you Salary:up to £145,000 High impact role:work in a small, innovative team with a clear roadmap for career progression Flexible working:hybrid setup, typically two days per week in the Central London office Benefits:25 days annual leave, enhanced pension plan, medical insurance, and more If you're excited by the idea of building real world AI systems using LLMs, agentic workflows, and advanced information extraction techniques, this is a fantastic opportunity to join a company investing heavily in AI innovation and product development.
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
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Apr 03, 2026
Full time
Job Title: Senior Backend Engineer Location: Dunton Essex - 4 days minimum mandatory onsite Rate: £67.15ph Umbrella Co Basis (Inside IR35) Employment Type: Contract (31.12.26) Hours: Standard 37.5 Hours Per Week Reference: F56475 The Senior Backend Engineer plays a pivotal role in driving the technical success in our backend teams. This position involves architecting scalable, resilient, and secure backend solutions and overseeing the technical completion of critical development tasks, often in ambiguous situations. The Senior Backend Engineer is responsible for ensuring that backend code and architectural reviews are aligned with organisational goals, facilitating productive technical discussions, and making decisions to resolve complex backend engineering issues effectively. In this role, the Senior Backend Engineer supports the technical direction for backend development, offering guidance to team members and exemplifying technical excellence in backend practices. Collaboration with frontend, DevOps, and other engineering teams is essential to ensure technical alignment across the organisation. The role also involves leading efforts to implement process improvements within backend development workflows, thereby enhancing productivity and output quality through innovation and collaboration. Strong expertise in backend programming languages (e.g., Java, Python, Go, Node.js) is essential, alongside responsibility for creating and reviewing technical designs for complex backend systems that meet both business goals and technical feasibility. Managing relationships with key stakeholders, balancing their needs with technical constraints, and facilitating open technical communication are also crucial aspects of this role. Skills Required: Extensive multi-year engineering experience specialising in designing, developing, and maintaining robust backend systems and services. Deep expertise in version control systems (e.g., Git/GitHub) and CI/CD tools (e.g., Cloudbuild), including defining and optimising pipelines for backend deployments. Proven proficiency with cloud platforms, particularly GCP, including experience with infrastructure as code and cloud-native services. Demonstrated leadership and practical experience in architectural practices, including designing scalable, resilient, and secure backend solutions. Customer-focused with a strong commitment to team collaboration and driving successful outcomes. Strong drive for delivering high-quality, performant, and value-added results. Demonstrated commitment to quality assurance and adherence to delivery timelines. Ability to autonomously manage multiple complex assignments with minimal direction, providing guidance to junior team members. Ability to thrive and contribute effectively within a highly regulated, financial environment. Willingness to be flexible in terms of tasks and timings to meet project demands. Significant experience performing and leading development reviews, ensuring code quality, maintainability, and adherence to best practices. Expertise in Test Driven Development (TDD) and Behaviour Driven Development (BDD) methodologies for backend services. Strong appreciation and practical application of architectural standards and processes essential in large-scale organisations. Java Spring Boot JUnit GCP (Google Cloud Platform) GitHub / Jetbrains products (e.g., IntelliJ IDEA) Fossa (or similar open-source licence compliance tools) SonarQube (or similar code quality analysis tools) Checkmarx (or similar static application security testing tools) Cycode (or similar software supply chain security platforms) Skills preferred: Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge automotive manufacturer finance operations Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Additional Information: The preference on main programming language would be Java but open to languages such as python, go, .net. Specific language is not essential but good experience in backend technologies is. Preference for being able to work in a highly regulated environment, automotive finance experience would be a bonus but not a requirement. Inside IR35 Minimum 4 days a week in Dunton Office No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications. Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 03, 2026
Full time
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Apr 03, 2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
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
