7 jobs found

Your role in the team At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description This Senior Consultant II is a hands on, forward engineering role in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Contributes to the realization of cutting edge technical capabilities into business applications by applying advanced algorithms and techniques to software solutions. About the Role We are looking for a Generative AI Software Engineer to join our team and help build next generation AI driven solutions. This role blends traditional Software engineering with cutting edge AI integration, enabling innovative digital products and services. You will work closely with cross functional teams to design, develop, and deploy secure, scalable applications and integrate advanced AI models into production environments. This position is open at multiple levels including Senior Consultant, Lead and Expert levels. Key Responsibilities Software Engineering Build secure, scalable, and high performance microservices and applications using Java Spring Boot / Python. Design and maintain RESTful APIs and microservices architecture with asynchronous processing. Deploy and manage applications on cloud platforms, preferably Microsoft Azure. AI Integration & Development Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments. Optimize LLMs for specific use cases and implement RAG (Retrieval Augmented Generation) pipelines. Work with embedding models, vector databases, and prompt engineering techniques. Explore multi modal AI systems and agentic AI frameworks for advanced capabilities. Modern Development Practices Leverage tools like GitHub Copilot and agentic AI for code reviews, unit testing, and pull requests. Leverage APM tools like DataDog to enhance Observability posture for your application. Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions. MLOps & Model Deployment Implement best practices for model deployment, scaling, versioning, and monitoring. Develop and maintain scalable data pipelines for ingestion, processing, and feature engineering. Ensure compliance with ethical AI standards and data governance as per Allstate standards. Essential Skills All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. Minimum of 3+ years of backend development experience using Java Spring Boot / Python. Minimum of 3+ years working with RESTful APIs, microservices architecture, and asynchronous processing. Minimum of 1 years' experience working with Generative AI APIs and/or open source models. Additional Skills Required for Lead and Expert Levels Minimum of 4+ years of backend development experience using Java Spring Boot / Python. Minimum of 4+ years working with RESTful APIs, microservices architecture, and asynchronous processing. Minimum of 1 year' experience in LangChain, LLM orchestration, and prompt engineering. Desirable Skills Exposure to multi modal AI systems and agentic AI frameworks. Experience with MLOps workflows and cloud deployment (Azure/AI Foundry preferred). Strong problem solving and debugging skills. Knowledge of ethical AI practices and compliance frameworks. Familiarity with data preprocessing, token management, and embedding generation. Posting End date Monday 8th December :59pm Why join us Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product driven, cloud first organisation delivering real outcomes through modern technology, a digital product centric talent model, and a culture rooted in engineering excellence. Our teams work in cross functional structures, guided by an outcome based delivery approach that accelerates speed, agility, and value. We offer • A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts • Access to world class learning platforms and award winning L&D • Clear career paths, internal mobility, and a strong focus on growth • A people first culture with flexible working options • Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

Job description 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. Technical Product Discussions: 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: 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 in monitoring 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. We focus on four therapeutic areas: respiratory . click apply for full job details

Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values, Patients First, Quality, Respect, Empowerment & Accountability. This role will work within our Scientific Data Technology and AI department which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists. This role will be based in the UK and can be either office or hybrid based in our Sheffield office or fully home based anywhere in the UK. The office is open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Senior AI Solution Developer you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. In this role, you will design, develop, and deploy Applications, ML models and data pipelines within the Foundry ecosystem. You will work collaboratively with Data Engineers, Software Developers, Product Managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production. You will also serve as experts within Parexel, driving education and providing expert guidance on Foundry-based ML solutions across the company. Key Accountabilities ML and Gen AI Technology in Foundry Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows in Foundry to support AI solution development and deployment. Review and adapt recent research in ML and Gen AI into Foundry based prototypes and production solutions. Review code and pipelines of other engineers to enhance ML quality and security within Foundry. Applied ML POCs and Experimentation Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry. Develop custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs. Lead experiment and model evaluation design based on well foundated best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry. Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments. AI based Production Solutions Collaborate with Product to define and implement features to satisfy customer requirements within Foundry. Design and develop high quality AI based production pipelines, workflows and applications in Foundry. Participate in planning and check in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective. AI Expertise, Education, and Advocacy Act as an AI and Foundry advisor across Parexel. Software Engineering Develop front end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.). Education Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience. Skills Experience in Palantir Foundry, it's ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Strong and proven CS fundamentals including data structures, algorithms, and distributed systems. Strong and proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc. Strong and proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Broad skillset with database technologies including relational, non relational and graph. Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork. Knowledge and Experience A strong interest and passion for Machine Learning and Generative AI and being able to demonstrate this is essential. Advanced and strong experience with the following tools: Foundry (Workshop, Pipeline builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub. Strong experience working in applications with RESTful JSON API endpoints. Advanced experience with Azure and Docker. Experience producing high quality code in a shared context. Up to date with state of the art in Machine Learning (and Gen AI techniques/models). Strong experience owning the delivery of value driven production quality AI solutions and models and experiencing acting as a lead on such projects in a professional engineering context. Experience acting as a lead on AI projects in a professional engineering context, preferably using Foundry. In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return of your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. Apply today to begin your Parexel journey!

Overview Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values: Patients First, Quality, Respect, Empowerment & Accountability. This role will work within the Scientific Data Technology and AI department, an innovative team that will build and deploy leading AI driven solutions to improve workflows common across Parexel and the life sciences industry. Location This role will be based in the UK and can be either office or hybrid based in our Sheffield office or fully home based anywhere in the UK. Role As the AI Solution Developer II you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. You will design, develop, and deploy applications, ML models and data pipelines within the Foundry ecosystem. You will work collaboratively with Data Engineers, SW Developers, Product Managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production. You will also support as experts within Parexel, supporting education and contributing guidance on Foundry based ML solutions across the company. Key Accountabilities Leverage Palantir Foundry to build and deploy reusable custom machine learning models, ontologies and end user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows in Foundry to support AI solution development and deployment. Review and adapt recent research in ML and Gen AI into Foundry based prototypes and production solutions. Review code and pipelines of other engineers to enhance ML quality and security within Foundry. Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry. Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs. Lead experiment and model evaluation design based on well found practices to ensure safe, effective, and principled AI development practices within Foundry. Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments. Collaborate with Product to define and implement features to satisfy customer requirements within Foundry. Design and develop high quality AI based production pipelines, workflows and applications in Foundry. Participate in planning and check in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective. Act as an AI and Foundry advisor across Parexel. Develop front end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.) Education Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and Gen AI) or other equivalent qualification/experience. Skills Experience in Palantir Foundry, its ecosystem and components, including building Workshop Apps, building and deploying modelling objectives and managing code repos and pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Proven CS fundamentals including data structures, algorithms, and distributed systems. Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Rein Learning, etc. Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Practical understanding of database technologies including relational, non relational and graph. Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork. Knowledge and Experience Intermediate experience with the following tools: Foundry (Workshop, Pipeline builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub. Intermediate experience working in applications with RESTful JSON API endpoints. Intermediate experience with Azure and Docker. Experience producing high quality code in a shared context. Up to date with state of the art in Machine Learning (and Gen AI techniques/models). Experience contributing to delivery of value driven production quality AI solutions and models. A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential. Benefits We will offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. Apply Apply today to begin your Parexel journey!

Technical Product Manager - Semantic Modeling and Integration Location London Business Area Engineering and CTO Ref # Description & Requirements Who we are / The Team The Metadata Strategy team, part of Bloomberg's CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg's diverse products and platforms. The Bloomberg Knowledge Graph (KG) is a foundational data asset that models the vast and interconnected landscape of financial markets, entities, events, and metadata across Bloomberg's ecosystem. It serves as the semantic backbone of the firm, enabling consistent, context-rich representation of data that powers a wide array of internal and client-facing applications-from analytics and search to AI, personalization, and risk modeling. As a strategic artifact and the foundation of Bloomberg's Metadata Strategy, the Knowledge Graph underpins the next generation of AI-driven and semantically enriched experiences for Bloomberg clients and internal stakeholders alike. The Semantic Model Product Owner will play a key role in shaping the evolution of this critical platform. About the Role Bloomberg is seeking an experienced and visionary Technical Product Owner to lead the development and evolution of the Bloomberg Semantic Model (BSM)-our enterprise-wide knowledge modeling initiative and oversee the population of Bloomberg's knowledge graph and its integration into Bloomberg's ecosystem. This foundational role is responsible for shaping the strategic roadmap, technical direction, and execution plans for semantic modeling across financial and non-financial domains. The ideal candidate will combine deep technical knowledge of semantic modeling and metadata systems with strong product ownership capabilities, enabling Bloomberg to scale its knowledge graph and metadata strategy in alignment with data, product, and AI workflows across the organization. We'll trust you to Define and champion the long-term vision and strategic roadmap for Bloomberg's enterprise semantic model (BSM), aligning with firm-wide data and product strategies. Develop and deploy strategies for iterative semantic model development and modularization of semantic models and taxonomies for application across disparate use cases. Develop a domain-inclusive knowledge modeling strategy, extending BSM beyond financial instruments to include products, people, processes, and internal operations. Lead integration strategy between BSM and AI/ML teams, enabling semantic grounding for generative AI, intelligent agents, and large language models. Create structured roadmaps for domain-specific modeling, in partnership with data experts across asset classes, reference data, core product, and engineering teams. Oversee the prioritization and sequencing of data domains into the BSM, ensuring a coherent and extensible knowledge architecture. Establish best practices for ontology, taxonomy, and reference model development, ensuring quality, reusability, and semantic consistency. Stay abreast of the latest research, tools, and industry trends in knowledge representation, and incorporate innovative approaches into the modeling lifecycle. Introduce automation and tooling for model development workflows to streamline authoring, validation, and deployment processes. Work closely with data domain experts, core product stakeholders, and engineers to capture modeling requirements and translate them into actionable roadmaps and user stories. Serve as a key liaison between data teams, platform engineers, and AI researchers, facilitating communication and ensuring that models meet stakeholder needs. Foster collaboration between metadata creators and consumers, ensuring semantic infrastructure is usable, scalable, and impactful. You'll need to have 8+ years of experience in a product management role Breadth of knowledge and familiarity with metadata, enterprise data modeling and industry best practices Proficiency in Semantic technologies and semantic data modeling including OWL, RDF/S, SPARQL, SHACL, Ontology design and knowledge graphs Experience in semantic model integration into large ecosystems and legacy systems A strong technical or Engineering background and broad technical fluency A track record of shaping business strategy and roadmaps for technical products and providing reliable, scalable, and easy-to-use infrastructure A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience High degree of organization, individual initiative, and personal accountability Experience with one or more agile project management tools Ability to drive change and influence stakeholders at all levels to deliver impact in a fast-paced, high-pressure environment. We'd love to see A good understanding of financial markets , instruments and products Open source involvement or community presence Exposure to Bloomberg Terminal and/or enterprise data products Experience with collaborative design platforms, such as MIRO and FIGMA. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Janes empowers military, government, and defence leaders to act with confidence in an increasingly complex world. Our trusted defence, security, and geopolitical information delivered through seamless digital platforms and system integrations-turns overwhelming data into clear, actionable intelligence and insight. By filling critical information gaps, Janes helps customers analyse threats, accelerate decisions, and stay ahead of emerging challenges Job purpose: The Solutions Engineer is a critical member of the Product team, responsible for enabling the integration and optimization of Janes interconnected intelligence capabilities across the NATO enterprise. Working closely with the global Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with third party and customer datasets, and aligning with NATO's evolving AI, intelligence and data requirements. You will help define and document data standards, technical specifications, and integration pathways to improve customer outcomes and drive innovation. You will contribute to high impact customer and partner projects across the Alliance, helping shape the future of Janes technical estate-including our graph knowledge base, intelligence products, and supporting infrastructure. Your work will have a direct impact on national security and defence capability. How you will contribute at Janes: System Integration: Support the integration of Janes data and models into customer systems of record, ensuring seamless functionality and operational relevance. Product Delivery: Assist in the development and delivery of Janes Interconnected Intelligence products, ensuring compliance with NATO standards and technical expectations. Customer Advisory: Provide remote and on site technical advisory services to customers, offering guidance on data attributes, integration strategies, and system optimisation. Documentation & Standards: Collate, analyse, assess and summarise current and emerging NATO documentation related to data models, ontologies, governance, processing, and third party integration. Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with NATO and other customer ecosystems. Gap Analysis: Identify and prioritise unmet data requirements critical to NATO adoption and mission success. Strategic Expansion: Explore adjacent content and data domains for potential expansion-either organically or via acquisition-to deepen Janes relevance and support for NATO missions. Market Intelligence: Monitor and report on partner and competitor activity within NATO to identify opportunities for collaboration, expansion, or risk mitigation. Account Development: Share insights on how the NATO relationship can be leveraged to unlock opportunities in partner nations. Identify and help remove barriers to expansion. Presales & Bids: Support technical presales engagements, bid responses, and proposal submissions with subject matter expertise and solution design input. The ideal skills and experience for this role are: Domain Expertise: Proven experience in data integration, system interoperability, and technical advisory roles-ideally within defence and intelligence sectors. Strong understanding of data models, ontologies, and standards relevant to NATO and allied environments. Experience working with national security and defence organisations. Citizenship of a NATO nation with the ability to obtain a security clearance. Technical Proficiency: Proficient in Python, including SDKs, APIs, and data engineering best practices. Solid understanding of the Software Development Lifecycle (SDLC). Experience with graph databases (e.g., Neo4j, ArangoDB, GraphDB). Familiarity with at least two of the following technologies: ArcGIS, Palantir, RDBMS, Graph Databases. Education & Communication: Bachelor's degree in Computer Science, Information Technology, or equivalent work experience. Excellent presentation and communication skills, with the ability to engage technical and non technical stakeholders. Comfortable working in small, agile, and globally distributed teams. Knowledge of the Intelligence cycle and ability to understand NATO intelligence requirements and priorities. Mindset & Approach: Strategic thinker with a passion for solving complex technical challenges. Innovative, dynamic, and creative approach to problem solving. Willingness to learn, grow, and adapt in a fast paced environment. Front End & Web Technologies: Back End & Infrastructure: Experience with Docker, Elasticsearch, or Palantir. Hands on experience with cloud platforms and services, particularly AWS (EC2, Lambda, S3, etc.). Background in backend or frontend architecture and development. Experience with Python modules such as ArcPy and ArcGIS API for Python. Relevant experience using Esri technology and the full ArcGIS Enterprise suite, including ArcGIS Knowledge. Security & Clearance: An active security clearance is a strong advantage; however, the ability and willingness to obtain one is essential. 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Private medical insurance - BUPA Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) Paternity (100% of basic salary for 6 weeks) Life cover Access to LinkedIn Learning Access to an on site gym Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this. We will always consider part time or flexible applications.