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Job Description Are you an experienced Systems Engineer or Scientist with an Electronics background? We are recruiting for a Principal Systems Engineer in our growing Detectors Area of Business, who can apply their expertise to deliver cutting edge Electro optic/InfraRed (EO/IR) capabilities across our Detector products. Based at our dedicated site in Southampton and offered with our award winning package. Your Impact Our Systems Engineers span across a range of activities that help pull together all the necessary engineering and technology strands into a high performance system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. What we build is exciting, interesting, challenging and complex. A diverse product portfolio of EO/IR technologies, with each programme at a different stage in its development lifecycle. Typical work you might be involved in: Applied research: Early research looking into exploiting new technologies or concepts. Requirements capture, definition, development, modelling, manufacture, test, and verification of EO/IR technologies. Applying and improving systems engineering processes across the full lifecycle. Collaborating with integrated project teams to design, build, and deliver EO/IR equipment. To be successful you will demonstrate passion for your trade by instilling a systems thinking approach based on experience forming and leading high performing teams. You will be able to influence those you work with, thrive in dynamic environments, demonstrate resilience when faced with adversity and able to make decisions quickly under pressure and setting a clear technical vision for the project team. Given the extensive people engagement nature of the work, we are still able to offer custom working that allows for a combination of home and on site working i.e. flexible working delivering effective results. What you'll bring You will have an electronics background and proven domain experience in EO/IR technologies, with the following attributes: Act as the focal point for systems engineering governance on the project, Requirements capture and management, System definition and development, Modelling and analysis, Verification and validation, Full engineering lifecycle application, Experience working in product development teams delivering Engineering artefacts successfully, Experience in managing and collaborating with internal/external stakeholders, Proven decision making skills in a high complexity, dynamic environment, Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels, Motivation, tenacity and determination, with a desire to deliver outputs and results. The following experience/skills are very desirable: PhD, EngD or Post graduate degree in electro optics, Experience with Model Based Design (MBD) tools and methodologies to support describing and analysing through the problem to implementation domains Experience with modelling tools e.g. Mathcad, MATLAB, Simulink, Experience with data acquisition tools such as LabView, Experience in using a requirement management tool to manage relationships of requirement and other project artefacts (DOORS, Polarion, Jama, etc ). This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi days each year. Secure your Future: Benefit from our award winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location GB - Southampton Contract Type Permanent Hybrid Working Hybrid

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here

Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.

Let's be ISS Sustainability is growing! Our Climate & Nature unit seeks a Climate Data Scientist to improve our existing climate and nature risk models, create new models and develop new products and analytical tools and to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team's data science-driven product development efforts. Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates. Evaluate new data sources and data collection methods for accuracy and effectiveness. Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape. Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions. Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions. Qualifications/Skills Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field. Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF. Working knowledge of UNIX shell and Docker is beneficial. Solid data science and statistical analysis skills. Research experience or climate-related publications is an advantage. Strong analytical, communication, and problem solving skills. Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment. Excellent written and spoken English. Knowledge of French or German is a plus. Experience in ESG or sustainable climate finance is considered an advantage. EEO Statement Institutional Shareholder Services (ISS) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to 'protected status'). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.

Job Description Find where you belong! Are you excited by the opportunity to turn complex data into commercial impact? Do you want your models, insights and AI innovations to directly shape the digital experience of millions of customers? If yes, our Data Scientist position might be the right next move for you. Your Purpose At Travelodge, you'll join our ambitious Digital Team as a Data Scientist, using big data, cloud technologies and cutting-edge AI to solve real business challenges. From optimising marketing investment and maximising customer lifetime value to building intelligent personalisation and predictive models, your work will influence key commercial decisions and drive measurable revenue growth. You'll enjoy the freedom to own projects from end to end, working with minimal oversight while collaborating with digital, marketing and senior business leaders. If you're passionate about applying machine learning, modern AI and data science to deliver tangible business outcomes, this is an opportunity to make a visible impact in a fast-moving, customer-focused environment. Your Strengths You will be a commercially-minded Data Scientist with a solid understanding of digital commerce and online marketing dynamics (experience optimising ad spend or digital acquisition is highly desirable). You'll have advanced Python and SQL skills, experience building and deploying data science solutions in AWS, Azure or GCP, and hands on knowledge of modern AI tools and frameworks. You'll bring expertise in statistical modelling, optimisation, forecasting, customer segmentation and experimentation, with the ability to turn complex data into clear commercial insights. Strong communication, stakeholder management and the confidence to work independently are essential, alongside a degree in a quantitative discipline and relevant experience in a data science or advanced analytics role. Your Perks Salary up to £60,000 plus Annual Bonus Contributory pension scheme Hybrid working - a minimum of 60% of your time should be spent in the office 50% personal discount for hotel bookings and great friends and family discounts too! 25 days holiday + bank holidays, increasing with length of service Why Travelodge? At Travelodge, we're more than just a Hotel brand; we're a community where you can truly be yourself and belong. Through our "Better Me" initiative, we prioritise your total wellbeing-emotional, physical, financial, and professional-while actively celebrating the diversity that makes our teams stronger. If you're a results driven individual who pays attention to the little things and genuinely cares about people, you'll fit right in.

C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".

About Air Apps At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self funded while reaching over 100 million downloads worldwide. Our long term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management-and change lives along the way. The Role As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross functional teams in person and contribute to a dynamic and fast paced environment. We are open to support with relocation efforts. Responsibilities Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations. Requirements Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. Experience working with data science and engineering teams to develop AI-based features. Ability to translate complex AI concepts into user-friendly applications. Strong analytical skills and experience leveraging data to drive product decisions. What benefits are we offering? Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our 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 Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, 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 Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Job Details Requisition Number:210132 Experience Level:Experienced Hire Job Family:Engineering/Science/Technology Product Service Line:Landmark Software & Services Full Time / Part Time:Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world's most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for! What will your day look like? In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms. Furthermore, your tasks include: Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments. Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans. Conducting in depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration. Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem solving techniques. Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods. Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions. Acting as a go to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach. Who are you going to work with? You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another. We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy going, dynamic atmosphere where we not only work together - we are great at having fun as well. What do you bring to the table? You are an outgoing and self motivated person who contributes positively to the working environment with your team player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks. In addition, you have: 4+ years of hands on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions. Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT). Strong proficiency in front end and back end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations. Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert Experience with code versioning systems, automated integration testing, security testing, and secure coding practices. Deep understanding of data models, optimization techniques, and GDPR principles. Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non technical). A proactive and collaborative mindset, with a strong commitment to continuous learning, problem solving, and a growth mindset. A leader in personalized customer experiences VML the company is a world leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer centric. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. WPP (VML the company) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Come and join our wonderful team at Exascale, Telford We are recruiting a Technical Support Apprentice - Level 4 Role Overview To support, document and enhance both the core and edge networks operated and owned by Exascale Ltd. This role will also cover integration of billing systems with the network equipment for client / end user billing and authorisation of use. Enhance operational support systems (OSS) with development into AI control of day-to-day monitoring. The technical support apprentice will be a key member of the company which ensures the long term commitment of Exascale to this person, additional training above the apprenticeship course will involve equipment manufacturers courses on specific items used within the networks along with bespoke software training courses. Exascale's network is located across the UK with two sites in Europe (Amsterdam & Frankfurt), the apprentice will be required to visit some of these locations to perform patching, upgrades, hardware additions or removals. Site visits may also be required for fault finding assistance. (Locations are:- all 5 Telehouse London sites, both Telecity sites in Manchester, Exascale own data centre and Midlands Internet Exchange site in Wolverhampton along with other various data centres) Technical Stuff Exascale's core network is built mainly on Cisco and Aristo Switches, Routers and Firewalls functioning on OSPF, BGP, DHCP protocols. VLANS and firewalls with authentication servers integrated to the radius billing platform. Management systems operate on Windows & Linux, Telnet, SSH and web access allow remote management of all the various components in the core and edge networks. Key Projects The apprentice will work on several key projects over the apprenticeship period; these include but are not limited to: Discover and document the core network building documentation to ISO9001 and ISO27001 standards. Discover and document the edge network again, building documentation according to the ISO9001 and ISO27001 standards. Work with the network architect to develop and future proof the core network. Play a key role in moving network operations towards AI systems and integration. What we are looking for Ideal candidate must have motivation, enthusiasm, no attitude, thirst to learn, good communications skills both written and verbal, hands on, logical, well presented (for customer visits and meetings), python, windows, Linux, fibre, server, website, network, AI. Ideal person should be able to drive or have the ability to drive. Not scared of web cams for teams / zoom calls. Academic Good Maths & English (ability to demonstrate both, not necessarily after perfect grades as the company understands there are rocket scientists out there who can not perform in exam situations). Physics, science, IT, bias, ability to code is an advantage but not essential. The applicants should also be able to pass basic checks (UBR or BS7858) and social media checking. Salary Details Salary starting at £18.5k during the probationary period increasing to £19.5k then increasing against performance targets. This role is based in the Exascale Head Office, Hortonwood, Telford. Exascale is an equal opportunity employer.