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About OrganOx OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metra , is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfil its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions. Position Summary The Full Stack Developer is a hands on software engineering role within the Digital team, contributing to the delivery of applications and solutions across OrganOx digital platforms. Aligned with Terumo values of integrity, collaboration, respect, and contribution to society through healthcare, the role focuses on building high quality, maintainable software that supports regulated medical device and data solutions. Working closely with internal stakeholders and external development partners, the Full Stack Developer designs, builds, and maintains features across the stack, supporting solutions that have a direct impact on clinical outcomes. This is an on site position in Oxford. Major Responsibilities Undertaking coding and software design work to deliver defined requirements across multiple digital projects, including web and mobile solutions. Delivering back end development including API design and working with multiple database paradigms. Participating in daily stand ups, design reviews, and collaborative team activities with internal and external teams. Developing automation including build pipelines, DevOps workflows, and business process automation. Using source control, code review systems, and modern development tooling to maintain code quality and consistency. Developing unit tests and contributing to shared responsibility for code quality and design reviews. Supporting Product Owners and Business Analysts in refining requirements and technical specifications. Ensuring developments are completed on time and to agreed quality and regulatory standards. Contributing to technical documentation and quality controls. Developing a strong understanding of OrganOx products and their impact on the business and on patients' lives. Supporting role expansion or progression into technical or team leadership where appropriate. Adhere to the letter and spirit of OrganOx's Code of Conduct and all other company policies. Skills & Experience Professional experience as a software engineer within a commercial delivery team, with current and relevant technical skills. Strong full stack development experience centred on Microsoft technologies and platforms (C#, SQL Server, Azure). Solid knowledge of web and cloud technologies, security, communications, and API based architectures, ideally within IoT or scientific systems. Experience with DevOps practices including configuration management, build pipelines, and continuous deployment. Generalist engineering mindset with experience or interest in additional languages such as Java, Python, or JavaScript. Strong understanding of software engineering best practices including Clean Code, SOLID principles, unit testing, and continuous integration. Comfortable working within Agile based development approaches such as Scrum and Test Driven Development, ideally in regulated environments. Additional experience with Linux, time series data, or business intelligence is advantageous. Excellent problem solving skills and the ability to learn new technologies and develop solutions. Strong communication and team working skills. High attention to detail and concern for quality of work. Qualifications Bachelor's degree or higher in Computer Science or another STEM related subject, or equivalent experience. At OrganOx, we value innovation, evidence, integrity, teamwork, respect, and passion. We offer competitive compensation and comprehensive benefits, including healthcare and retirement plans. We support work life balance and provide opportunities for ongoing professional development. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, race, or any other characteristics protected by law.

Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive Expertise: Experience and / or background in the Navy or Naval vessels / projects is highly desirable for this role A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active SC clearance or eligibility for SC clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for a Platform Lead to join our Engineering team at Blue Light Card at a pivotal moment. This is a foundational role, with the platform function just getting started and a real opportunity to shape its direction, culture, and impact from the ground up. As Platform Lead, you'll own platform engineering end to end, setting the strategy, building the team, and ensuring product squads have the tooling, infrastructure, and paved roads they need to deliver with confidence. You'll define what "production ready" means across the organisation and work closely with Staff Engineers and Engineering Managers to make the right technical choices the easiest ones to make. This is a hands on leadership role that balances deep technical involvement with organisational impact. You'll stay close to the technology and the challenges teams face, while owning the platform roadmap, influencing technical direction, and building a platform team that product squads trust and rely on. What you'll do Lead and develop the Platform Engineering team, creating an environment where engineers and squads can thrive Own the platform roadmap, ensuring it delivers clear value to product teams and supports business growth Act as the trusted technical authority for platform and infrastructure decisions across engineering Set clear, practical production readiness standards covering reliability, observability, security, scalability, and cost Build and evolve paved road platform solutions, reference architectures, and reusable tooling Embed strong operational practices, including SLOs, alerting, and effective incident management Use operational data and insights to continuously improve platform reliability, performance, and efficiency Enable product teams to be increasingly self sufficient through great documentation, collaboration, and thoughtful use of automation and AI What you'll bring Proven experience leading a Platform, Infrastructure, or SRE function in a product led engineering organisation Deep, hands on AWS expertise across compute, networking, storage, serverless, and security Strong Terraform experience, building reusable infrastructure as code that teams actively adopt Experience defining and operating SLOs, observability standards, and incident management at scale Ability to set technical direction and communicate it clearly to both technical and nontechnical stakeholders A strong people focus, with a track record of mentoring engineers and building high performing teams Experience with CI/CD pipelines, monitoring and logging platforms, and modern platform engineering practices A commercial mindset, connecting platform investment to delivery speed, cost efficiency, and positive business outcomes Our Culture Our members, partners and colleagues are at the heart of everything we do. Our colleagues are integral to helping create the unique experience we deliver, so we're genuinely committed to creating a place where our team love to work, and people want to join. We work as a team and try to have a bit of fun while we do it, and we recognise the importance of culture and the positive impact it can have on performance for you, the team, our organisation and our members. We believe in attracting the best talent no matter where you are, and have a hybrid working model, with colleagues based in London, the East Midlands and around the country. We're also officially recognised as a Top 100 Great Place To Work UK, one of the UK's Best Workplaces for Wellbeing, Top 100 Best Workplaces for Women and recognised as investors in wellbeing by Investors in People. What We Offer Hybrid working 25 days plus public holidays, buy and sell and an additional day off for your birthday A company bonus scheme Great social events e.g., Christmas party, family fun day, summer party, sports matches Learning and development opportunities Group auto enrolment pension plan Enhanced maternity, paternity, sick pay Company funded private medical insurance Healthcare cashback plan Employee assistance programme (including mental health support) Modern office space with onsite gym including access to free HIIT & stretch classes, games area, chill out areas, book club, and more, when you visit our HQ in Cossington

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. We're looking for a Data Engineer with a solid foundation in building robust data pipelines and a collaborative mindset to join our Marketing Data Engineering team. If you thrive in a fast-paced environment, enjoy working cross-functionally, and are eager to embrace change (especially innovations like AI coding assistants), this could be your next adventure! In This Role You Will: Design, build, and maintain high-performance data pipelines and orchestration workflows Write clean, modular Python code to transform, parse, clean, and enrich large datasets Support stakeholders by developing dashboards and visualizations Partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs Actively participate in agile ceremonies, code reviews, and planning discussions Experiment with and use AI coding tools to boost productivity and code quality Our Tech Stack Languages: Python, SQL Workflow orchestration: Airflow Query engine: Trino Data warehouse: Vertica Source control: Git AI coding tools: Cursor Please apply if you have: 6+ years of professional experience in data engineering Proficient in SQL and Python, and know how to write scalable, maintainable code Worked with AI coding tools and are excited about how they're shaping the future of development Understand modern data architecture from ingestion to transformation to delivery Built and operated Airflow pipelines (or something similar) You're comfortable estimating project scope, managing timelines, and delivering reliably Soft Skills We Value: Excellent collaborator and communicator, comfortable working with technical and non-technical peers Solution-oriented and driven by curiosity Welcome change and innovation, and you're quick to adapt your tools and practices Thrive in an international, fast-paced, and feedback-driven environment There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The base range for this United States located role is $115,000 - 130,000.00. We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus. Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We've got you.

At Commify, we're not just a company, we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we're the force behind over 7 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, have a purpose and do their best to directly shape the digital future. As a Product Manager, you will own the product lifecycle from ideation to launch, working closely with engineering, design, marketing, and sales to deliver solutions that meet market needs and exceed customer expectations. Leading several workstreams to ensure we meet delivery timelines and internal/external expectations and working with external partners like Meta and Google to optimise our Product offerings. Responsibilities Shape the product vision, strategy, and roadmap to perfectly align with Commify's ambitious goals. Be a key driver in transitioning from our legacy platforms to our cutting-edge CPaaS offering. Drive product growth by scaling our integration footprint with major platforms (Google, Meta), optimising technical workflows to reduce partner onboarding time. Identify and prioritise high-impact integration opportunities with strategic partners to unlock new distribution channels, drive top-of-funnel acquisition, and reduce user friction. Lead the discovery and delivery of 'better-together' product experiences, working with third-party vendors to bridge feature gaps and deliver integrated workflows that drive a increase in long-term user retention. Lead the charge in gathering and prioritising product requirements through insightful market research and direct customer feedback. Become the go-to expert on our products and deeply understand how customers interact with them. Collaborate with Product Marketing to synthesise market intelligence and competitor analysis into actionable product requirements, bridging the gap between customer needs and the technical roadmap. Unite, influence and inspire cross functional teams to deliver exceptional products on time and to specification. Champion Agile methodologies, ensuring we remain flexible and responsive to change when needed. Leverage product performance metrics to make data driven decisions that continually enhance our offerings. Build strong relationships with customers and stakeholders to capture their needs and confidently validate solutions that make an impact. Qualifications Proven experience as a Product Manager in CPaaS, SaaS, technology or related industries. Strong understanding of Agile development methodologies. Excellent communication and leadership skills with strong stakeholder management skills. Ability to work with technical and non technical stakeholders, framing the communications for better understanding. Analytical mindset with a data driven approach to decision making and openness to AI and the optimisations it brings. Ability to manage multiple priorities and programmes effectively. Ideally, strong knowledge of working on and delivering products that have a focus on working with Partners and I. Bachelor's degree in Business, Engineering, Computer Science, or a related field. Benefits Attractive & competitive salary (£70 - 75,000) Hybrid working arrangements Company bonus scheme Extended holiday (27 days per annum plus bank holidays) Enjoy your birthday off Mental health support provided through our wellbeing partner, Calm Wellbeing leave (2 days) and a dedicated Mental Health First Aider program Days dedicated to giving back and supporting causes you care about (2 days) Unlimited opportunities for professional and personal growth Comprehensive benefits including retirement planning, healthcare, and life insurance. And have we mentioned our fantastic team socials? We know how to throw a memorable celebration!

Job Info Job Identification 15290 Posting Date 06/05/2026, 09:33 AM Job Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit. Location:London, United Kingdom(Hybrid working) Employment Type:Permanent The Senior Data Modeller will provide technical expertise and leadership in analysis, design, development, rollout and maintenance of enterprise data models and solutions. This role establishes a clear, layered approach (conceptual, logical, physical) to ensure consistency, scalability, and alignment across the enterprise. The position requires deep understanding of the insurance data domain and provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from an enterprise perspective. The Senior Data Modeler creates high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape. The role sets design principles and standards to build trusted, reusable, and well-governed data assets that support business outcomes. This includes implementing consistent, business-friendly naming conventions and aligning with governance frameworks, including London Market and regulatory requirements where applicable. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as innovation, critical thinking, optimism, positivity, communication, time management, collaboration, problem solving, acting independently, knowledge sharing and being approachable. As part of your duties, you will be responsible for: Design and develop conceptual, logical, and physical data models for enterprise-scale data lake and data warehouse solutions, along with corresponding metadata, ensuring layered consistency and scalability across the enterprise Establish and enforce design principles, standards, and naming conventions to build trusted, reusable, and well-governed data assets that support business outcomes Create high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape Implement consistent, business-friendly naming conventions and align with governance frameworks, including London Market standards (ACORD, CDR, MRC) and regulatory requirements where applicable Define processes, ownership, and tooling to maintain, govern, and continuously evolve data assets over time Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, and similar platforms Create functional and technical documentation including data integration architecture documentation, data models, data dictionaries, data integration specifications, and data testing plans Collaborate with business users to analyse and test requirements, translating business needs into scalable technical solutions Stay current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for data architecture Lead and support setting the data architecture direction (including data movement approach, architecture and technology strategy, and other data-related considerations to ensure business value), ensuring data architecture deliverables are developed, ensuring compliance with standards and guidelines, implementing the data architecture, and supporting technical developers at an enterprise level Coordinate and consult with project managers, client business staff, client technical staff and project developers in data architecture best practices and data-related matters at the enterprise and business unit levels Perform reverse engineering of physical data models from databases and SQL scripts Maintain rigorous versioning of documentation and models to ensure consistent delivery and understanding between the client and development team Experience and Education required: Deep understanding of the insurance data domain; experience working as a data modeler for a London market insurer is equally valuable to specialized London Market technical expertise Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, or similar enterprise modelling platforms) Experience with major database platforms (Oracle, SQL Server, Teradata, Snowflake, cloud-native databases) Understanding and experience with major data architecture philosophies (Dimensional, ODS, Data Vault, Data Mesh) 5-7 years of management or technical leadership experience required 5-7 years consulting experience preferred Experience in data analysis, profiling, and data quality assessment Strong data warehousing and OLTP systems experience from a modelling and integration perspective Strong understanding of data integration best practices, patterns, and architectural concepts Strong development experience under Unix and/or Windows environments Strong knowledge of all phases of the system development life cycle including agile methodologies Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data, and streaming architectures Understanding of on-premises and cloud infrastructure architectures (Azure, AWS, Google Cloud) Knowledge of London Market standards (ACORD, CDR, MRC) and regulatory frameworks is highly desirable but not essential Preferred Skills & Experience Ability to analyse business requirements as they relate to data movement and transformation processes, research, evaluation and recommendation of alternative solutions Ability to transform business requirements into technical requirement documents and enterprise-level design patterns Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combine the two together Can create documentation and presentations such that they stand on their own with minimal additional context Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered Ability to work independently on complex projects as well as collaborate effectively across teams and organisational boundaries Must excel in a fast-paced, agile environment where critical thinking and strong problem-solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Can effectively utilise SQL and/or available BI tools to validate and elaborate business rules Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with teams to design effective solutions to business problems Understands and leverages multi-layer semantic models to ensure scalability, durability, and supportability of analytic solutions Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic standpoint As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. . click apply for full job details

The Role: Due to growth within UK programmes, we will need talented Data Engineers throughout the course of 2026. If you have a full understanding of the principles of Data Engineering and prior experience as a Data Engineer we would love to hear from you. Being part of the Leidos team is a commitment to push you and those around you to do better, constantly adapt and learn new technologies. Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in defence, intelligence, homeland security, civil, and health markets. 33,000 employees support vital missions for governments and commercial customers. You will focus on the use of modern technologies across a wide range of industries, leaning towards government organisations and national security agencies. Key Responsibilities: Provide data engineer skills and produce solution designs as part of both bid and delivery processes. Work with delivery teams to design and implement modern, scalable data products using a range of new and emerging technologies. Lead on all data solution aspects including setting data standards and providing deep technical expertise to programme teams. Utilise the concepts and principles of data modelling and produce relevant data models across multiple subject areas. Collaborate with customers on all aspects of data management including the assurance and integration of data services to meet the needs of multiple lines of business. Recognise and exploit business opportunities by leveraging data engineering and design best practice. Communicate effectively across organisational, technical and political boundaries, understanding the context. Who Do We Need? We are looking for someone with excellent organisation, communication and leadership skills, who has: Previous experience as a Data Engineer or background in Data Management. Data Modelling and Database Design. Data Platform Modernisation. Biometric Data Management and associated legislation. Data Science / Analytics. Predictive Scaling techniques. Data Warehousing & Business Intelligence. Data Migration. Metadata Management. Stakeholder Management & Data Governance. Pre sales content contribution and pricing for new business pursuits. Large scale Data Management (petabytes). Understanding or experience working within a Scaled Agile, or Agile delivery methodology. Understanding of operating within a secure by design delivery approach. Clearance Requirements: Security clearance for Role SC. Must be willing to undergo SC or DV clearance depending on the security requirements for the role. Benefits We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory pension scheme. Private medical insurance. 33 days annual leave (including public and privilege holidays). Access to flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays, and a cycle to work scheme). Flexible working scheme. Commitment to Diversity We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. EEO Statement All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay Range: £47,600.00-£61,000.00

Overview We're looking for an ambitious graduate eager to build a successful career in online marketing. We also welcome those who have started and want to progress. As part of our Media Delivery team, you'll play an integral part in running advertising campaigns for a wide range of well known brands. The team operates Epsilon's groundbreaking technology platform, making media investment decisions that drive campaign performance. This role sits between our Campaign Operations and Account Management teams, providing the perfect fit for anyone with a strong interest in data and technology. You'll quickly be hands on with campaigns and able to see the impact of your work in real time. This is a hybrid role based in London (4 days per week). Responsibilities Oversee the targeting and media strategy of assigned advertiser accounts. Deliver, analyse and optimise display and video campaigns. Combine data analysis, technical knowledge, client feedback and market insight to lead complex campaigns and meet our client's objectives. Bridge the technical and commercial sides of the business by building strong relationships with Client Development and Account Management teams, sharing campaign performance insight and helping to shape and implement long term strategies for program growth. Become an expert in our platforms and processes. Actively work to keep them efficient and easy to use. Take an active interest in our industry and stay abreast of developments in digital marketing. Join a tight knit, high performing team. Take ownership of your development by actively seeking out opportunities to learn and support those around you to grow. Qualifications What you'll bring with you: A degree or experience in an analytical subject (Science, Engineering, Computing, Maths, Economics, Business). Strong attention to detail. Ambition and a desire to learn. Numerate. You are comfortable in an environment where analysing multiple metrics forms the basis of campaign delivery and success. The ability to juggle and prioritise multiple responsibilities and handle your time effectively. A pro active, self starter that thrives working in a fast paced environment. Curiosity and an interest in problem solving. Excellent written and verbal communication skills. Why you might stand out from other talent: A methodical, analytical perspective, with the ability to interpret data, identify trends, and apply insight effectively. Commitment and resilience, with a track record of seeing work through and overcoming challenges. A clear interest in digital marketing. At interview we'll expect you to understand the basic concepts of programmatic marketing and current industry trends. You don't need previous experience, but you do need a genuine passion for becoming an expert. Proficient in Excel and some experience with SQL Previous experience working in marketing focused on digital platforms (particularly Campaign Delivery) is an advantage, but not essential. Benefits We offer hybrid working opportunities, with our office space located in the Iconic Television Centre, White City. If you work here, expect competitive compensation, a great benefits package and endless opportunities to advance your career. We are committed to equal access to opportunity for people without regard to race, age, sex, disability, neurodiversity, sexual orientation, gender identity, pregnancy and parental status, marriage and civil partnership or religion or belief. We are committed to providing reasonable adjustments for candidates in our application process.

A leading professional services firm is looking to appoint a Manager into its specialist Quantitative Valuations team based in Cambridge. This is a unique opportunity to join a growing practice operating at the intersection of technology, innovation, investment and valuation. The team advises a broad range of clients, including technology led businesses, venture backed companies, investors, universities and research intensive organisations. The successful candidate will work directly with the Partner leading the practice, gaining significant exposure to clients, business development activities and the strategic growth of the team. This role offers genuine responsibility from day one and a clear pathway for career progression within a rapidly expanding area of the business. Key Responsibilities Lead and deliver complex quantitative valuation engagements Build and review financial, statistical and valuation models Analyse innovative technologies, business models and intangible assets Support clients across transaction, investment, strategic and reporting related projects Manage client relationships and present findings to senior stakeholders Support business development initiatives and practice growth Mentor and develop junior team members About You We are keen to speak with candidates who possess a strong quantitative background and an interest in applying analytical expertise within a commercial advisory environment. Typical Backgrounds Quantitative Valuations Data Science & Analytics Economic Consulting Corporate Finance Research & Development Innovation Advisory Quantitative Consulting Requirements You will likely have: A Master's degree or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics or a related discipline Strong quantitative, modelling and analytical capabilities An ability to communicate complex technical concepts to non technical audiences Commercial awareness and an interest in innovation, technology and investment Strong interpersonal and stakeholder management skills Why Join? Work directly with a highly experienced Partner recognised for advising innovative businesses and investors Gain exposure to cutting edge technologies, high growth companies and complex valuation challenges Take on meaningful client facing responsibility from an early stage Play a key role in the growth and development of a specialist practice Benefit from a collaborative and entrepreneurial team environment Clear progression opportunities within a growing business This opportunity would suit an intellectually curious and commercially minded individual looking to apply their quantitative expertise in a highly specialised and rewarding advisory environment. For a confidential discussion, please apply or get in touch directly.

AI Assistant / Business Analyst Luxury Travel Group Harrow-on-the-Hill (Hybrid) £40,000 - £60,000 + performance incentives A highly unusual and genuinely exciting opportunity for an analytically minded AI Assistant / Business Analyst to work directly with the CEO of a long established luxury travel business. This is NOT a traditional EA role. The position sits at the intersection of AI, commercial analysis, business operations, and executive support. You will use tools such as Claude and ChatGPT daily to help analyse data, improve reporting, support decision making, and identify opportunities to drive business growth. The role would suit someone with a naturally analytical, process driven mindset - perhaps with exposure to finance, operations, engineering, analytics, commercial reporting, or AI led workflows - who also enjoys working closely with senior leadership. Key Duties Using AI tools to analyse business data, reporting, trends, and commercial performance Supporting the CEO with research, written output, analysis, and operational projects Reviewing financial and commercial information to identify opportunities and efficiencies Working across business operations, reporting, partnerships, and performance data Executive and operational support at senior leadership level About You You already use AI tools such as Claude or ChatGPT regularly and confidently Strong numerical and analytical skills are essential Comfortable interpreting data, spotting trends, and producing commercially useful insights Excellent written communication and ability to refine AI generated content Naturally proactive, intellectually curious, and solutions focused Able to thrive in a fast moving, evolving environment Please note: This is not a standard administrative or traditional EA role The analytical and AI elements are essential requirements Harrow-on-the-Hill location - candidates should have a realistic commute Hybrid working: 3 days office / 2 days home. This is a rare opportunity to join a successful, entrepreneurial business at a pivotal stage of growth and modernisation, in a role with genuine visibility and impact.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, colour, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. They are looking for the right people - people who want to innovate, achieve, grow and lead. They attract and retain the best talent by investing in their employees and empowering them to develop themselves and their careers. Experience the challenges, rewards, and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Description They are seeking a skilled and proactive Data Integration Engineer to join the Neftex Technical Services team. Reporting to the Team Lead the Data Integration Engineer will be responsible for designing, building, and maintaining robust data pipelines and integration frameworks that connect diverse systems including LLMs and a proprietary Data Integration solution. Successful candidates will be evidently enthusiastic and motivated people who they can train up in their processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. Please note, although this is a hybrid position, you will be required to attend their Milton Park, Abingdon, Oxfordshire office a minimum of three days per week. Key Responsibilities: Design and implement scalable data integration solutions using ETL/ELT tools and APIs Develop and maintain data pipelines that include Large Language Models (LLMs) Build solutions that include cloud and on-premises environments Collaborate with data architects, analysts, and business stakeholders to understand data requirements Integrate data from various sources including databases, SaaS platforms, APIs, and flat files Monitor and optimize data flows for performance, reliability, and cost-efficiency Ensure data quality, consistency, and governance across integrated systems Automate data workflows and support real-time data streaming Document integration processes and maintain technical specification The ideal candidate Qualifications & Experience: 3+ years' experience working with database and related tools Strong proficiency with data virtualisation platforms and tools such as Teiid or similar Solid understanding of SQL, relational databases, and data modelling Experience with cloud platforms (AWS, Azure) and cloud-native data services Familiarity with RESTful APIs, JSON, XML, OData, and message queues (Kafka) Knowledge of data governance, security, and compliance best practices Preferred Skills: Experience with cloud-based database solutions. Understanding of data lifecycle management and SOC2 security standards. Familiarity with geoscience disciplines, geospatial data and GIS tools (e.g., ArcGIS, QGIS) is advantageous. Scripting and automation (e.g., PowerShell, Python, Java). Experience with Gitlab. Knowledge of Spotfire data visualization platform or alternative dashboard solutions. Awareness of Agile delivery methodologies.

Loudwater Knaves Beech Business Centre Davies Way Unit C Loudwater, HP109UT, GBR ESCO Maritime Solutions are recruiting a Systems Engineer based in Loudwater, Buckinghamshire. Are you driven by the challenge of managing intricate systems and meticulous requirements? Do you excel in an environment that values your systems engineering expertise and encourages innovation? If so, we have an exciting opportunity for you! Key responsibilities Lifecycle Management: Planning and implementation of the appropriately tailored lifecycle model and manage all stages from concept to retirement. Plan and support design reviews encouraging concise recording of decisions and agreed actions. Requirements Engineering: Analyse stakeholder needs, define clear, feasible and traceable requirements, and ensure alignment throughout development. Collaborate with cross-functional teams and design engineers to elicit and elaborate requirements at all levels. Ensure requirements at all levels are validated and recorded as such, along with any associated assumptions and constraints. System Architecture & Design: Develop and communicate system architectures that are appropriate to the project and stakeholders, while ensuring traceability to requirements and design solution(s), integration of subsystems, and any applicable test configurations. Interface Management: Define and control internal and external system interfaces to maintain integrity. Technical Leadership: Lead cross-functional teams of domain specialists (software, mechanical, electrical) and coordinate technical outputs. Work closely with stakeholders, including customers, to prioritise and manage changes to requirements, tracking Technical Queries, while adapting to evolving project needs. Compliance & Standards: Ensure adherence of design and process to applicable regulations, safety standards, and industry best practices. Integration & Verification: Plan and execute system / subsystem integration, design verification and system qualification. Specify and facilitate system testing and qualification activities. System Validation: Plan and facilitate the formal recorded validation of system with the acceptance authority. Drive a culture of early and progressive acceptance. Maintain formal record of acceptance and traceability to concessions and recorded compliance statements. Support & Sustainability: Plan for in-service support, maintenance, and end-of-life disposal. Continuous Improvement: Proactively encourage, support and contribute to continuous improvement of business tools, process and people, particularly for Systems Engineering. Identify, formalise and promote local best practices into wider context. Offer critical feedback (CI) in a constructive and sensitive manner. Consistency & Cultural Alignment: Operate within company process framework and implement tools / practices with consistency. Seek guidance, feedback and support if required. Tools and Methodologies: Use requirements management tools and methodologies to organise, track, and maintain traceability throughout the project lifecycle. Ensure validity and accuracy of data while maintaining, import / export, configuration and change control. Qualifications / skills required Experience in Information Assurance and good understanding of designing secure systems for the UK MoD. Bachelor's degree in systems engineering, electrical engineering, or a related engineering fields. Proven experience in systems engineering and requirements management of complex systems. Proficiency with industry-leading requirements management tools and methodologies. Experience in handling of large data sets, integrity and configuration control. Strong analytical skills for validating and optimising requirements. Familiarity or experience in supporting of test definitions, planning and execution. This includes system and subsystem verification activities, integration and qualification. Proactive involvement in initiating verbal or face-to-face stakeholder engagement for resolving technical issues and managing expectations. Excellent written and verbal communication / collaboration skills. Experience of working in environments / organisations handling sensitive information and good security practices. High proficiency in data processing and data management IT systems / software including Ms Office suite (Ms Excel, Ms Word), Ms Outlook and Ms Teams. Familiarity or experience with electronic and electrical designs. Preferably implemented in defence and aerospace sector. Experience in planning, facilitating and conducting system / subsystem testing, integration and qualification testing. Experience in Integrated Logistics Support (ILS) activities for system design phases and in particular, experience in development of technical manuals and reliability engineering. Familiarity with industry standards and practices of systems and requirements engineering. Familiarity or experience in agile methodologies and tools including Atlassian Jira. Familiarity or experience in Jama Connect for requirements management. Experience in Model Based Systems Engineering (MBSE) implementation. Note: All candidates must meet the security vetting requirements relevant to the role. For reasons of national security, applicants must be British nationals. Dual nationals may be permitted in exceptional circumstances. This role has been assessed as Inside IR35

A healthcare services provider in Bristol is looking for a Senior Data Engineer to lead the development of cloud architecture and data pipelines. This role involves collaborating with clinical and operational teams to enhance healthcare services through data-driven solutions. Candidates should have strong experience in data engineering, proficiency in Python and SQL, and a solid understanding of data warehousing. The position offers a competitive salary, primarily office-based work with some hybrid options, and opportunities for career growth.

Active SC clearance is required for this role. We are hiring for multiple positions. Permanent roles. We will consider contractors with existing clearances on an initial basis. Salary: Market rate - depending on experience A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active SC clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

We are looking for a Business Analyst - Custom Applications & Workflow to join our growing Technology team. In this role, you will focus on custom built internal applications and workflow solutions, partnering closely with business stakeholders and engineering teams to translate ideas into clear, build ready requirements. You will also support enterprise workflow platforms such as Asana or Monday, helping teams onboard, structure intake, and gain visibility into work in progress. Responsibilities Custom Applications & AI-Adjacent Analysis Gather and document business and functional requirements for custom applications, internal tools, and/or AI solutions. Partner closely with engineers and integration teams to translate requirements into build ready specifications. Help define workflows, user journeys, edge cases, and exception handling for new solutions. Support initiatives that involve automation or AI adjacent capabilities, focusing on usability, adoption, and operational fit. Participate in delivery activities including backlog refinement, testing, UAT, and rollout support. Asana / Monday - Workflow Enablement Support enterprise use of project management tools (Asana/Monday) for intake, coordination, and workflow visibility. Configure and maintain intake forms, templates, standard workflows, and reporting views. Partner with teams to onboard new users and use cases, ensuring consistency and clarity. Ensure workflow tools support coordination and tracking rather than acting as systems of record. Collaboration & Delivery Work closely with product, program, and delivery leads to clarify scope and priorities. Collaborate with global stakeholders across time zones, particularly EMEA based teams. Ensure requirements and documentation are clear, structured, and easy for teams to work from. Contribute to continuous improvement of how custom solutions and workflows are delivered. Partner with business and technical teams to review existing tools and processes for newly acquired companies or onboarded teams, document gaps, and support transition to shared platforms and workflows. Qualifications 4+ years of experience as a Business Analyst, Systems Analyst, or a similar role. Strong experience supporting custom applications, internal tools, or platform based solutions. Experience working closely with development or integration teams in build oriented environments. Hands on experience configuring or supporting Asana, Monday, or similar project management or workflow platforms. Ability to understand system interactions and data flows at a conceptual level. Strong communication, organization, and stakeholder management skills. About You Curious, collaborative problem solver who enjoys rolling up your sleeves and working closely with teams to bring ideas to life through practical, build oriented solutions. Presents thoughtful judgment and a can do mindset when navigating evolving tools, platforms, and ways of working. The TEAM is an equal opportunity employer. We do not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other reason prohibited by law. We value diversity, equity, and inclusion across our organization.