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Unqualified STEM Teaching Assistant \n A fantastic Secondary School in the Borough of Hounslow are on the hunt for Aspiring STEM Teacher for an ASAP start. This is a full-time role, directly employed via the school with a salary of £110 - £125 per day per day. \n You will be working across a Science, Technology, Engineering & Mathematics Department, supporting KS3-5 lessons, while having a focus on attainment & the quality of learning. This is the perfect opportunity if you're an aspiring STEM Teacher looking to gain experience before enrolling onto paid teacher training in September 2027. \n The Head Teacher would ideally like a Unqualified STEM Teaching Assistant with any of the following Science related degrees: \n\n • Biology (Science)\n, • Chemistry (Science)\n, • Natural Sciences (Science)\n, • Mathematics & Physics\n, • Mathematical Sciences (Maths)\n, • Physics\n, • Computer Science\n\n Does this sound like the Unqualified STEM Teaching Assistant opportunity for you? If so, please read on below to find out further details. \n JOB DESCRIPTION \n\n • Unqualified STEM Teaching Assistant\n, • Secondary Teaching Assistant (Subject dependent)\n, • Working across KS3-5 with a focus on raising attainment\n, • Carrying out GCSE & A Level interventions\n, • ASAP Start - Full Time & Long-term Contract\n, • £110 - £125 per day (Term Time Only)\n, • Located in the Borough of Hounslow\n\n PERSON SPECIFICATION \n\n • Must have a desirable degree from the above subjects from a reputable University\n, • Good A Levels & GCSEs across the board\n, • Must be confident within your ability and knowledge of both the GCSE & A Level curriculum\n, • You must be able to engage and motivate the students\n, • Commitment and ambition to succeed is key throughout!\n\n SCHOOL DETAILS \n\n • Graded 'Outstanding' in latest Ofsted report\n, • Leading training School throughout the Borough\n, • Take on over 30 graduates a year\n, • Plenty of CPD opportunities throughout\n, • Schools Direct Opportunity\n, • Located in the Borough of Hounslow\n, • Good Tube Links - District, Central and London Overground\n\n If you are interested in this Unqualified STEM Teaching Assistant, interviews can be arranged immediately. \n Apply for this Unqualified STEM Teaching Assistant by sending your CV to Charlie at EdEx. You will be contacted by your personal consultant (if shortlisted). \n Unqualified STEM Teaching Assistant \n INDTA

STEM Graduate \n \n A fantastic Secondary School in the Borough of Hammersmith and Fulham are on the hunt for an Aspiring STEM Teacher for an ASAP start. This is a full time, and long-term post. \n \n You will be working across a Science, Technology, Engineering & Mathematics Department, supporting KS3-5 lessons, while having a focus on attainment & the quality of learning. This is the perfect opportunity if you're an aspiring STEM Teacher looking to gain experience before enrolling onto teacher training. \n \n The Head Teacher would ideally like a STEM Graduate with any of the following Science related degrees: \n \n\n • Biology (Science)\n, • Chemistry (Science)\n, • Geology (Science)\n, • Natural Sciences (Science)\n, • Mathematics & Physics (Science)\n, • Mathematics (Maths)\n, • Mathematics & Statistics (Maths)\n, • Economics (Maths)\n, • Mathematical Sciences (Maths)\n, • Physics (Maths)\n, • Computer Science\n, • Engineering\n\n \n You will have the opportunity to enrol onto a Salaried Schools Direct opportunity via the Secondary School. \n \n Does this sound like the STEM Graduate opportunity for you? If so, please read on below to find out further details. \n \n JOB DESCRIPTION \n\n • STEM Graduate\n, • Secondary Teaching Assistant (Subject dependent)\n, • Working across KS3-5 with a focus on raising attainment\n, • Carrying out GCSE & A Level interventions\n, • Enrolling onto the STEM Graduate (Schools Direct)\n, • ASAP Start - Full Time & Long-Term\n, • £110 - £125 per day\n, • Located in the Borough of Hammersmith and Fulham\n\n \n PERSON SPECIFICATION \n\n • Must have a desirable degree from the above subjects from a reputable University\n, • Good A Levels & GCSEs across the board\n, • Must be confident within your ability and knowledge of both the GCSE & A Level curriculum\n, • You must be able to engage and motivate the students\n, • Commitment and ambition to succeed is key throughout!\n\n \n SCHOOL DETAILS \n\n • Graded 'Outstanding' in latest Ofsted report\n, • Leading training School throughout the Borough\n, • Take on over 30 graduates a year\n, • Plenty of CPD opportunities throughout\n, • Schools Direct Opportunity\n, • Located in the Borough of Hammersmith and Fulham\n, • Good Tube Links - District, Central and London Overground\n\n \n If you are interested in this STEM Graduate, interviews can be arranged immediately. \n \n Apply for this STEM Graduate by sending your CV to Charlie at EdEx. You will be contacted by your personal consultant (if shortlisted). \n \n STEM Graduate \n \n INDTA

MATHS LEARNING ASSISTANT \n West London \n Mainstream Secondary School \n £95 to £105 per day \n An excellent secondary school located in Southall, West London are looking for a motivated MATHS LEARNING ASSISTANT who is able to work with children in small groups and within maths lessons to help improve progress. The school highly values the importance of academic knowledge and are wanting to recruit someone who shares this ethos. \n You will be working alongside the teachers and other teaching assistants to support children in their attainment and progress. You will need to support children's learning up to GCSE level, be adaptable accordingly to the needs of the individual children, and make observations and carry out sessions instructed by the teacher to improve progress. \n MATHS LEARNING ASSISTANT \n Key skills and experience needed: \n\n • Degree is preferred, in Maths based subjects are preferred (Maths, Accounting and Finance, Physics, Engineering, and others)\n, • Experience working with children is required\n, • Understanding of special needs or learning difficulties.\n, • Contribute an enthusiastic and creative approach to learning.\n, • High levels of professionalism.\n\n If you are interested in MATHS LEARNING ASSISTANT position, please send your CV to Tiv Suntharesan at Veritas Education. \n Veritas Education are currently working on various vacancies so even if this one doesn't fit your exact requirements, we may have something more suitable for you. Please send through your CV or give me a call so we can discuss other opportunities. \n *Veritas Education offer competitive rates of pay* \n APPLICATION REQUIREMENTS FOR VERITAS EDUCATION \n\n • All applications are subject to an Enhanced DBS Disclosure, professional reference checks, Overseas Police Clearances (if applicable) in line with our stringent safeguarding policy\n, • Your CV must cover the last 10 years of employment history where possible and all employment breaks must be explained\n, • You must have legal right to work in the UK\n, • You must be willing to attend a registration interview\n\n Veritas Education work with a variety of schools covering a wide geographical area. We deal with teaching placements at Primary, Secondary and college level as well as support staff positions also within these. \n Disclaimer \n 'Nothing within the above advert was in any way designed or intended to discriminate on the grounds of age, gender, race, colour, religion, disability or sexual orientation. Veritas Education is an Equal opportunities employer and is proud in the knowledge that all placements are made on merit and suitability. We accept applications from all sections of the community.'

Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working – potential to extend. \n You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines. \n Responsibilities \n\n • Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement\n, • Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes\n, • Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis\n, • Support experimentation and testing: experiment monitoring, reads, and promotion calls\n, • Represent analytics in forums and business reviews, and translate technical detail for business partners\n, • Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them\n, • Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close\n\n Skills \n\n • 5+ years of experience in data science and analytics, including running production models and BAU analytics\n, • Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines\n, • Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch\n, • Working knowledge of Looker, Airflow and Google Cloud\n, • Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience\n\n Benefits \n\n • Hybrid working (3 days in the office)\n, • Award winning work environment\n, • Global Organisation\n, • Free breakfast\n\n

What you'll do\n We've got advanced beam-steering prototypes working across X to Ka band. Now we need someone to turn them into products people can actually deploy. You'll own the system architecture and pull antenna, RF, mechanical, hardware and software together into one coherent product, working directly with our CTO and CEO. It's hands-on from day one. \n\n • Shape system architectures for beam-steered products across satcom, radar and secure communications\n, • Turn customer and market needs into clear specs and subsystem requirements\n, • Run the trade-offs: performance, SWaP, cost, manufacturability and reliability\n, • Own the interfaces between RF, antenna, mechanical, hardware and software\n, • Lead integration and define how we verify, validate and qualify, from prototype through to production\n, • Help build our systems engineering approach from scratch: requirements, configuration control, and just enough process for a team that moves fast\n, • Get in front of customers and partners for demos, trials and technical conversations\nWhat you'll bring\n\n, • Around 7-10 years in systems engineering on multidisciplinary hardware products\n, • A track record of taking complex hardware from concept through integration and verification\n, • Experience in one or more of: SATCOM, radar, RF systems integration, aerospace or defence electronics, phased arrays, or communications infrastructure\n, • Confidence owning requirements and interfaces\n, • Sound judgement when making trade-offs against time and budget\n, • A degree in engineering, physics or a related discipline (MEng is a plus)\n, • You enjoy building things when not everything is defined yet\nBonus points if...\n\n, • You've worked with MBSE, SysML or similar modelling approaches\n, • You've worked on phased-array or beam-steering antenna systems\n, • You've delivered low-SWaP portable systems \n • You know your way around Jira and Confluence\n, • You've contributed to product definition or technology roadmaps\n, • You've worked in a start-up or fast-paced product team\n, • You've managed suppliers or subcontractors\nAbout us\n KVector is building breakthrough beam-steering antenna technology for the next generation of communications and radar systems. \n Our proprietary Dynamic MetaSurface (DMS) tech makes phased-array performance lighter, lower-power and more scalable - across X to E band and beyond. What you'll get\n The chance to shape the systems function at a deeptech company early on \n We welcome people from all backgrounds, identities and ways of thinking, and actively seek out diverse perspectives. If you need any support or adjustments during the application process, please reach out to us - we’re here to help. #J-18808-Ljbffr

MEP Director - Growth & Sector Lead London A senior leadership opportunity with a growing engineering consultancy We're working on a confidential senior appointment with an established Building Services, Low Carbon and Sustainability consultancy that is looking to strengthen its London operation. This is not a traditional Business Development role. The position sits at a senior strategic level, combining growth, client development, market positioning and technical understanding to help shape the next stage of the business. You'll have the opportunity to influence how the business goes to market, develop key relationships and help build a stronger presence across London and the surrounding regions. The Opportunity As MEP Director - Growth & Sector Lead, you'll take a leading role in identifying and securing new opportunities across MEP design and sustainability. You'll develop strategic relationships with developers, architects, contractors, consultants and other key stakeholders, identifying where the business can add value and turning those relationships into long-term opportunities. A key part of the role will be building and managing a strong pipeline, from identifying opportunities through to bids, negotiations and successful appointment. You'll work closely with senior leadership and technical teams to ensure the services being taken to market reflect what clients actually need. More than just winning work The role also gives you the opportunity to influence the market positioning and direction of the business. You'll help identify target sectors and key accounts, monitor market trends and competitor activity, and develop strategies around where the business should focus its growth. There is also scope to raise the profile of the business through industry events, thought leadership, professional networks and strategic partnerships, positioning the consultancy as a leader in low-energy, low-carbon and sustainable design. For major opportunities, you'll work alongside technical teams during briefing and concept development to ensure projects transition successfully into delivery. The wider opportunity You'll be joining a consultancy with a strong reputation for MEP, low-energy design, building performance and sustainability, supported by expertise across its wider group structure. The business has a genuinely integrated technical offering, with the ability to bring together MEP, sustainability, building physics, energy and low-carbon expertise to provide commercially viable solutions for clients. This gives you a strong platform from which to build relationships and develop new sectors rather than selling a single service in isolation. About You We're looking for someone with a proven track record in business development, growth or strategic client development within engineering consultancy, MEP, sustainability or the wider built environment. You may come from a technical engineering background and have moved into a commercial/growth role, or you may already be operating in a senior business development or sector leadership position. You'll need to be commercially astute, highly networked and comfortable engaging with senior stakeholders. An existing network across developers, contractors, architects, consultants or other built environment organisations would be highly valuable. Technical knowledge of MEP, sustainability, low-carbon design or building performance is important, but this is ultimately a role for someone who can build relationships, identify opportunities and turn them into revenue. Why consider it? This is a chance to take on a genuinely influential position where your relationships, market knowledge and commercial judgement can directly shape the growth of a business. You'll have access to senior leadership, responsibility for key client relationships and the freedom to develop new opportunities across London and beyond. Due to the confidential nature of the appointment, further information on the business and package will be discussed privately with suitable candidates. Whether you're working in larger corporate companies or a small SME, this is certainly one to take note of. Please don't hesitate to apply or get in touch for further info at the email below; we can arrange a confidential conversation anytime to suit you. Your expert recruitment consultant is Lakshman Sivanesan, reachable via . Eden Brown is committed to equality in the workplace and is an equal opportunity employer. Eden Brown is acting as an Employment Agency in relation to this vacancy

Join Our Team as a Senior Naval Architect!\n Location: Barrow-in-Furness or Bristol \n Salary: Competitive \n Working Arrangements: We offer a range of hybrid and flexible working options. Speak to your recruiter to explore what works best for you! Who We Are\n At BAE Systems, you’ll be part of something bigger. Join our global network of talented colleagues and bring your unique skills to the forefront of innovation. Together, we’ll pioneer progress and protect what matters most, delivering advanced, technology-led solutions in defence, aerospace, and security. \n From the depths of the ocean to the far reaches of space, your career at BAE Systems has no limits! Your Role\n As a Senior Naval Architect, you will: \n\n • Conduct analysis and evaluations of submarine platform performance from concept design to in-service support.\n, • Develop, verify, and validate mathematical manoeuvring models using physical model test data.\n, • Collaborate with enterprise partners to enhance modelling capabilities, processes, and toolsets.\n, • Work closely with Naval Architect teams and customers to deliver innovative and safe submarine solutions.\n, • Support and conduct sea trials.\nCore Responsibilities\n To excel in this role, you should have: \n\n • Experience in surface ship and/or submarine stability analysis using tools like Paramarine, Aveva, or MaxSurf.\n, • A strong understanding of hydrostatic principles and methods, or experience in manoeuvring modelling with a grasp of hydrodynamic principles.\n, • General knowledge of submarine or surface ship design standards and operational processes.\n, • Familiarity with CAD packages such as Rhino or NX.\n, • A degree in Naval Architecture, Aeronautical Engineering, Mathematics, Physics, or relevant equivalent experience.\nThe Whole Boat Design – Naval Architecture Team\n In this role, you will collaborate with experts across various disciplines within the Whole Boat Design Team, contributing to major submarine design and build programmes for the Royal Navy and Royal Australian Navy. We also offer relocation support packages for eligible candidates. Why Choose BAE Systems?\n Here, you’ll build a career with purpose and endless possibilities. Enjoy lifelong learning and meaningful work in an environment that empowers you to be your best. We recognize your contributions and offer rewards tailored to your needs, supporting your financial and personal wellbeing while promoting a balanced lifestyle. \n Our culture embraces sustainability and shared purpose, creating a supportive environment where you can thrive and feel proud of the difference you make. A Place Where Everyone Can Thrive\n We are committed to fostering an inclusive workplace where everyone feels valued and supported. A diversity of backgrounds, perspectives, and experiences strengthens our teams and is vital to our mission. Important Information\n Please note that many roles at BAE Systems are subject to security and export control restrictions. Factors such as nationality and residency may affect your eligibility for certain positions. All applicants must meet the Baseline Personnel Security Standard, with many roles requiring higher levels of National Security Vetting. Closing Date\n Applications will be accepted until 22nd October 2026. We reserve the right to close this vacancy early if we receive sufficient applications, so don’t wait—apply early! \n Join us at BAE Systems and be part of a team that makes a difference!

Test Development Engineer Job – Middlesex An exciting Test Development Engineer job is available in Middlesex for an engineer with a passion for designing advanced automated test and measurement systems for high power RF and microwave products. This Test Development Engineer job offers the opportunity to work on cutting edge technology while supporting the development, validation and production of complex RF amplifiers. The Test Development Engineer Job Responsibilities The successful candidate will: Design and develop Automatic Test Equipment (ATE) for high power RF amplifiers. Interface test systems with Vector Network Analysers (VNAs), RF power meters, spectrum analysers and other laboratory equipment. Design safe test solutions for equipment operating with hazardous voltages. Develop computer controlled test procedures and automated data capture systems. Support Production Test Engineers with component level fault finding and root cause investigations. Work alongside Design Engineers to ensure products are designed for efficient testing. Write and maintain Acceptance Test Procedures (ATPs) and TWT alignment procedures. Develop Environmental Stress Screening (ESS) methods and test equipment. Plan and execute product validation, qualification and design verification testing. Support and train Production Test Engineers on new test equipment and procedures. Support New Product Introduction (NPI) reviews to ensure test readiness. Produce technical reports and documentation for test activities. Key Responsibilities Design, manufacture, commission and verify custom test equipment and fixtures. Develop and maintain ATE software and configuration control. Ensure all test equipment and procedures meet safety requirements. Develop and approve Acceptance Test Procedures. Support First Article Inspection, Design Validation and Product Qualification testing. Provide detailed fault finding and root cause analysis to support production. Skills and Experience The ideal candidate will have: BSc or HND in Electrical/Electronic Engineering, Physics or a related discipline. Experience with analogue electronic circuits. Knowledge of power electronics. Experience using RF and microwave measurement equipment. Knowledge of LabVIEW for ATE design and implementation. Understanding of high voltage safety hazards and protection methods. * Strong fault-finding and analytical skills. Why Apply? This Test Development Engineer job offers the opportunity to work on innovative RF and microwave technology within a collaborative engineering team in Middlesex. The successful candidate will play a key role in developing advanced automated test systems while supporting the delivery of high performance products. If you are looking for an Test Development Engineer job where you can combine embedded systems, RF technology, automation and problem solving, this Test Development Engineer job in Middlesex offers an excellent opportunity for career development. This job is based in Middlesex and provides the chance to work on technically challenging projects within a growing engineering business

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required., • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Buy Side Hedge Fund requires a lead Quant to set the roadmap across Rates & FX, leading a world class team of quant developers and modellers, validation and production rollout. All potential candidates should read through the following details of this job with care before making an application. Candidate will: Own the multi-asset analytics library: design performance, trade representation, prototype to production. Lead a group of Quant Developers and Modellers, working in C++ & Python. Direct Pricing & Risk Linear and Vol Rates and FX (Options). Drive platform programmes such as Risk engine consolidation, library modernisation, regulatory model deliveries. Set engineering standards, research, production, codebase testing. Partner with PM'sso models and scenario analytics are fit for live use. What you bring • 15+ years in quantitative finance, with a long stretch building derivatives models rather than only managing them. A physics, mathematics, or equivalent quantitative degree (master's or above) is typical., • Proven leadership of large quant-developer groups, including at Managing Director / Director level in a bank or equivalent seniority on the buy side., • Deep FX and rates derivatives experience: local- and stochastic-vol models, term-structure models, PDE and Monte Carlo methods, calibration, and risk., • Production C++ at library scale, plus Python for research, tooling, and orchestration. Evidence of having shipped a modern, fast, cross-asset analytics library is a strong signal., • Judgement on model risk, regulatory expectations, and the trade-off between research speed and production robustness., • Comfort operating on-site in London and leading a hybrid or multi-location team. Nice to have • Experience taking a sell-side quant platform into a buy-side or analytics-vendor setting., • Exposure to equities and macro analytics alongside rates and FX., • A track record of risk-engine consolidation or large-scale library replacement. How success is measured • Model and library quality: accuracy, stability, and speed of pricing and risk., • Delivery of the agreed platform programmes on time, without regressions in production numbers., • Team health: retention of senior quants, quality of hires, and a clear ownership model between research and production. xrnqpay, • Client and portfolio adoption of the analytics. To find out more about Huxley, please visit

Key Words: Graduate RF Engineer, Graduate Engineer, RF Engineering, Radio Frequency, Engineering Graduate, Physics Graduate, Science Graduate, Electronics, Electrical Engineering, Telecommunications, RF Systems, Testing, Development, Training, Career Progression. Graduate RF Engineer (Space / Defenc

Buy Side Hedge Fund requires a lead Quant to set roadmap across Rates & FX, leading a world class team of quant developers and modellers, validation and production rollout. Please make an application promptly if you are a good match for this role due to high levels of interest. Candidate will: Own the multi-asset analytics library: design performance, trade representation, prototype to production. Lead a group of Quant Developers and Modellers, working in C++ & Python. Direct Pricing & Risk Linear and Vol Rates and FX (Options). Drive platform programmes such as Risk engine consolidation, library modernisation, regulatory model deliveries. Set engineering standards, research, production, codebase testing. Partner with PM'sso models and scenario analytics are fit for live use. What you bring • 15+ years in quantitative finance, with a long stretch building derivatives models rather than only managing them. A physics, mathematics, or equivalent quantitative degree (master's or above) is typical., • Proven leadership of large quant-developer groups, including at Managing Director / Director level in a bank or equivalent seniority on the buy side., • Deep FX and rates derivatives experience: local- and stochastic-vol models, term-structure models, PDE and Monte Carlo methods, calibration, and risk., • Production C++ at library scale, plus Python for research, tooling, and orchestration. Evidence of having shipped a modern, fast, cross-asset analytics library is a strong signal., • Judgement on model risk, regulatory expectations, and the trade-off between research speed and production robustness., • Comfort operating on-site in London and leading a hybrid or multi-location team. Nice to have • Experience taking a sell-side quant platform into a buy-side or analytics-vendor setting., • Exposure to equities and macro analytics alongside rates and FX., • A track record of risk-engine consolidation or large-scale library replacement. How success is measured • Model and library quality: accuracy, stability, and speed of pricing and risk., • Delivery of the agreed platform programmes on time, without regressions in production numbers., • Team health: retention of senior quants, quality of hires, and a clear ownership model between research and production. xrnqpay, • Client and portfolio adoption of the analytics. To find out more about Huxley, please visit

About Archangel Lightworks Archangel Lightworks is a laser communications company building wireless technology. Founded in 2017, we believe that laser communications to and from satellites is a key component of next-generation infrastructure. Our core product, the TERRA-M , is a deployable optical ground station with proven capability for space ground data transfer . Our team develops and operates products that advance the security and resilience of critical national infrastructure. We value compassion, resilience, curiosity, ownership and integrity. Our start-up is a fast-paced and supportive environment, where you can contribute to novel technology with meaningful applications like reducing the Digital Divide. Archangel Lightworks recently closed over £10 million of investment in an oversubscribed Series A funding round. Our company is also supported by the UK Space Agency, the UKs Department of Science and Technology (DSIT) and the UK Ministry of Defence. About the job Were looking for a Control Systems Engineer to join our growing team and deliver transformative laser communications technology. You will be responsible for developing, documenting, and testing control systems for ground and space-based optical terminals. Your responsibilities will include: Developing and testing algorithms for control of coarse and fine pointing systems for optical communication, including electrical motors, fast steering mirrors (FSMs), adaptive optics, and a range of optical sensors. Delivering documentation and providing technical support for the Software team to implement the above algorithms. Develop and maintain HIL real-time simulations to test control Software requirements against simulations. Perform trade-off analysis of different control concepts, components, and architectures. Maintain pointing budgets and ensure control systems fulfil systems requirements. Requirements: At least 3 years of relevant commercial experience developing control systems for complex electromechanical, optical, aerospace, or robotic systems. A degree in Control Engineering, Electrical or Electronic Engineering, Robotics, Aerospace Engineering, Physics, or a related technical discipline. Practical experience designing, modelling, implementing, and testing control algorithms for dynamic systems. Proficiency with modelling and simulation tools such as MATLAB and Simulink, or equivalent platforms. Ability to translate system-level requirements into control-system requirements, test cases, and verification activities. Strong analytical and problem-solving skills, with the ability to diagnose complex system behaviour using test data and simulations. Desirableadditional skills: Experience developing pointing, acquisition, and tracking systems for optical communications, telescopes, imaging systems, or similar precision applications. Knowledge of coarse and fine pointing architectures, including gimbals, reaction wheels, fast steering mirrors, and piezoelectric actuators. Experience using real-time simulation and test platforms such as Speedgoat, National Instruments, or equivalent systems. Knowledge of model-based design, automatic code generation, and software-in-the-loop testing. Experience working within a start-up, research and development, or rapidly evolving engineering environment. Location : Our office is based inOsneyMead, Oxford.There may be opportunity to work from home as agreed with your linemanager.There may be opportunity for periodic business travel. What we offer: Opportunity to work on advanced optical systems to support a world-changing vision A collaborative and transparent culture with strong links between functions Regular socials and weekly company lunch Professional development and skills growth within a specialist engineering field Competitive salary and benefits package, with equity options in a growing start-up 25 days annual leave allowance plus bank holidays Archangel Lightworks is an equal opportunity employer. As part of our commitment to equality, we work to ensure a fair and consistent interview process. If you need any assistance or accommodation to complete your application or assessment, please contact us through the application form. We recognise that many candidates use AI tools when applying. Please ensure your application reflects your own experience, skills, and thinking. We assess applications based on authenticity and accuracy, so anything generated with AI should be reviewed, personalised, and representative of you. TPBN1_UKTJ

Antenna Design Engineer Overview We are seeking an experienced Antenna Design Engineer to join a leading Defence and Aerospace organisation based in Buckinghamshire. This role offers the opportunity to work on cutting-edge RF, microwave, radar, avionics, and communications systems that support critical defence and national security programmes. The successful candidate will be responsible for the design, simulation, development, testing, and optimisation of advanced antenna systems across a range of military and aerospace applications. You will work closely with multidisciplinary engineering teams including RF, Electronics, Systems, Mechanical, and EMC specialists to deliver high-performance solutions meeting demanding operational requirements. Key Responsibilities Design and develop antenna systems for Defence, Aerospace and Communications applications. Perform antenna modelling, simulation and optimisation using industry-standard EM tools. Design antennas covering HF, VHF, UHF, L, S, C, X and Ku band applications. Conduct electromagnetic analysis and performance assessments. Develop phased arrays, multifunction antennas, airborne antennas and conformal antenna solutions. Generate technical reports, design documentation and engineering artefacts. Support antenna prototyping, integration and qualification testing. Undertake RF measurements and validation in laboratory and anechoic chamber environments. Analyse antenna performance characteristics including: Gain Radiation patterns Efficiency Bandwidth Polarisation VSWR Impedance matching Support system-level integration with RF front-end and communications equipment. Work alongside certification and compliance teams to ensure regulatory and military standards are achieved. Participate in design reviews and customer technical meetings. Essential Skills & Experience Degree qualified in: Electronic Engineering RF Engineering Telecommunications Engineering Physics Mathematics or equivalent STEM discipline Proven experience designing and developing RF and microwave antenna systems. Strong understanding of: Electromagnetic theory RF propagation Microwave engineering Antenna theory Experience using EM simulation tools such as: CST Microwave Studio HFSS (Ansys) FEKO ADS EMPro Knowledge of antenna measurement techniques and RF testing. Familiarity with network analysers, spectrum analysers and RF test equipment. Ability to interpret complex technical specifications and requirements. Experience producing engineering documentation to a high standard. Desirable Experience Defence, Aerospace or Avionics experience. Active or previously held SC Clearance. Phased Array Antenna design. AESA Radar systems. Electronic Warfare (EW) systems. SATCOM antenna technologies. Airborne communication systems. UAV/UAS antenna integration. Missile guidance or radar programmes. MIMO and beamforming technologies. EMC/EMI compliance testing. Antenna integration into harsh environments. Key Technologies RF & Microwave Systems Antenna Design Phased Arrays Beamforming Electronic Warfare Radar Systems SATCOM Avionics Communication Systems HFSS CST Microwave Studio FEKO EMC/EMI RF Testing Electromagnetic Simulation Defence Communications Personal Attributes Strong analytical and problem-solving skills. Ability to work within multidisciplinary engineering teams. Excellent communication and stakeholder engagement abilities. Self-motivated with a collaborative approach. Comfortable working within highly regulated Defence environments. Capable of managing multiple work packages simultaneously. TPBN1_UKTJ

A position for an Optical Systems Engineer / Senior Optical Systems Engineer has become available with a leading developer and manufacturer of advanced photonics, optical systems, and precision technologies. We are currently recruiting on behalf of a globally recognised engineering organisation that designs and delivers cutting-edge optical solutions for customers operating across aerospace, defence, life sciences, industrial, semiconductor, and scientific markets. The Optical Systems Engineer / Senior Optical Systems Engineer role is available across Torquay, Southampton, and Northampton and will form part of a multidisciplinary engineering team responsible for the design, development, integration, and validation of complex optical and photonic systems. These positions offer the opportunity to work on innovative technology programmes from concept through to production, collaborating with experts across optics, electronics, software, mechanical engineering, and manufacturing disciplines. Candidates can be based at any of the three locations, with opportunities available for both experienced engineers and senior-level engineers looking to take on technical leadership responsibilities. This role offers a varied mix of optical design, systems engineering, technology development, customer interaction, and technical problem-solving activities. Ideal candidates for the Optical Systems Engineer / Senior Optical Systems Engineer role, based in Torquay, Southampton, and Northampton will have experience in: Optical system design and development. Photonics, laser systems, imaging systems, or optoelectronic technologies. Translating customer requirements into technical specifications and system architectures. Optical modelling, simulation, tolerance analysis, and performance optimisation. Requirements capture, verification, validation, and systems engineering activities. Supporting product development throughout the full engineering lifecycle. Integrating and testing complex optical systems. Working within multidisciplinary engineering environments. Producing technical documentation, reports, specifications, and design reviews. Investigating and resolving complex technical challenges. Collaborating with customers, suppliers, and internal stakeholders. Additional experience sought for Senior Optical Systems Engineers: Leading complex optical engineering projects. Providing technical leadership and mentoring junior engineers. Acting as a subject matter expert within optics or photonics. Supporting bids, proposals, and customer-facing technical discussions. Leading design reviews and driving engineering best practice. Managing technical risk and supporting project delivery. The successful candidate will ideally possess: A Degree, Master's, or PhD in Physics, Optics, Photonics, Optical Engineering, or a related discipline. Experience developing optical, photonic, imaging, or laser-based systems. Strong knowledge of geometrical optics, physical optics, laser technologies, and optical instrumentation. Experience using optical simulation and design tools such as Zemax, Code V, FRED, or equivalent. Strong analytical, problem-solving, and troubleshooting abilities. Excellent communication and stakeholder management skills. The ability to work independently and as part of a collaborative engineering team. Experience within aerospace, defence, semiconductor, life sciences, industrial, or scientific markets would be advantageous. An understanding of systems engineering processes and product development lifecycles. To apply for this Optical Systems Engineer / Senior Optical Systems Engineer opportunity across Torquay, Southampton, or Northampton, please contact Tony Broadhurst on 01582 878839 or email . Alternatively, we welcome conversations regarding similar opportunities within Optical Engineering, Photonics, Laser Systems, Imaging Technologies and Advanced Engineering sectors. TPBN1_UKTJ

Overview We are seeking a talented Antenna Engineer to join a growing engineering team developing advanced RF and communication systems for challenging aerospace, defence, and autonomous platform applications. This is an opportunity to work across the full antenna development lifecycle, from concept and simulation through to testing, integration, and qualification. The successful candidate will play a key role in the design and development of high-performance antennas and RF solutions deployed in demanding real-world environments. Key Responsibilities Design, develop and optimise antenna solutions for airborne, maritime and land-based applications. Perform electromagnetic modelling and simulation using industry-standard tools. Develop antenna architectures to meet challenging performance, size, weight and environmental requirements. Conduct antenna measurements and validation activities, including anechoic chamber testing. Support RF system integration, troubleshooting and performance optimisation. Analyse and interpret test data, producing technical reports and recommendations. Work closely with multidisciplinary teams including RF, electronics, mechanical, systems and software engineers. Support product development through concept, prototyping, verification and production phases. Contribute to design reviews, technical presentations and customer discussions. Ensure designs comply with relevant industry standards, regulations and qualification requirements. Required Experience Degree qualified in Electronic Engineering, Communications Engineering, Physics or a related discipline. Experience in antenna design and development within a commercial, aerospace, defence or communications environment. Strong understanding of electromagnetic theory and RF principles. Experience using antenna simulation and modelling tools such as CST Studio Suite, HFSS, FEKO or similar. Knowledge of antenna measurement techniques and RF test equipment. Understanding of impedance matching, radiation patterns, gain, efficiency and polarisation. Experience analysing RF performance and troubleshooting technical issues. Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Desirable Experience Experience with SATCOM, telemetry, datalinks, GNSS, electronic warfare or radar systems. Knowledge of airborne or unmanned systems applications. Experience working within highly regulated engineering environments. Familiarity with environmental qualification standards and testing. Understanding of RF front-end design and system-level integration. Experience supporting products from prototype through to manufacture. Personal Attributes Strong analytical and problem-solving skills. Passion for innovation and continuous improvement. Ability to work independently while collaborating effectively within a multidisciplinary team. Strong organisational and communication skills. Comfortable working in a fast-paced engineering environment. Package Competitive salary. Flexible working arrangements. Company bonus scheme. Pension and comprehensive benefits package. Ongoing professional development and training opportunities. Opportunity to contribute to cutting-edge aerospace and defence technology programmes. TPBN1_UKTJ

Our client is a specialist manufacturer of scientific instrumentation for a global market. Working within an experienced and highly skilled engineering design team we are seeking an additional Embedded Software Engineer. The role will be to design, develop and maintain Embedded Software for the next generation of systems. You will be working at our client's modern and well-equipped development facility. Our client offers flexible hours with options for 4.5 day week, 9 day fortnight etc. Skills sought will include: - C, C++ • Demonstrable experience in designing and building software systems, • Experience in developing Embedded Software using C and/or C++, • understanding of full software development lifecycle (UML), • understanding and appreciation of code version control, • ability to write and review technical documents Additional, desirable experience: - Verilog for FPGA's, VHDL, • Linux, • Embedded real time operating systems FreeRTOS, • AVR and SAM Mirocontrollers, • Microchip Studio IDE Responsibilities - Architect, design and develop the software that drives our equipment, • Support and assist systems integration and product testing, • Provide customer support and problem solve on technical matters, • Attend and actively contribute to design reviews Experience and Qualifications: - Degree in Computer Science, Software Engineering, Physics, Electronics or related discipline, • 5+ years' relevant experience in Embedded Software Engineering Our client offers a relaxed, friendly, collaborative working environment. You will be working in a small, highly experienced design team. Excellent salary and benefits package including flexible hours, bonus, pension etc. For more information please apply with CV or contact Jim Lander at Rednal Recruitment Ltd. We look forward to hearing from you! TPBN1_UKTJ

Company description ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we'll advance your career. Job description Remote, ideally located in the United Kingdom, with flexibility to consider candidates in the Netherlands, Finland, Poland, Italy, or Ireland THE ROLE: We are seeking a Senior Field Application Engineer to join our HPC and AI Centre of Excellence (CoE), to lead the technical engagement of HPC opportunities in Europe. This is a customer facing role where you will help position AMD EPYC CPUs and Instinct GPUs. Influencing customer perform Proof of Concepts, building and running popular applications, customer in-house applications, coordinating with and assisting partners Own the technical remit of your accounts: qualification, stakeholders, understand timelines, coordinate within internal stakeholders and external partners Test new AMD products prior to launch and characterise performance In addition to being customer and partner-facing this is a ‘hands-on' role working both independently and with other AMD engineers. There is a strong emphasis on performing Proof of Concepts, tackling technical software and hardware HPC performance, debug, and capability issues, collaborating with Field Application Engineering ‘FAE' peers, Sales colleagues, CPU and GPU Business Units, Architecture, Software, Platform teams. THE PERSON: Does this sound familiar? We'd love to talk! Clear track record of technical execution on HPC opportunities. MUST HAVE: Expertise in HPC application performance testing on CPU (and ideally GPU). Understands HPC toolchain, how to optimise runtime performance and understands impact of system design and potential mitigation/exploitation strategies Strong technical program management skills. Ability to lead technical relationships with both customers and HPC partners Ability to independently prioritize opportunities to deliver results on time Excellent verbal and written communication skills Good level of business English. Strong positive can-do attitude willing to do what is necessary. Runs to problems. Available to help colleagues. Open to travel domestic and international, approximately 10-25% KEY RESPONSIBILITIES: Lead HPC technical engagement in key customer accounts through product discussion and demonstration. Proof of Concepts and performance testing applications. Hardware and Toolchain performance debug, testing, characterisation and comparison. Providing CPU recommendations based on generated performance data. Liaising with partners on their HPC testing. Providing ‘hands-on' assistance Pitching and demonstrating EPYC and Instinct for HPC. Assist in creating TCO models to assist pricing with bid desk Characterising applications on EPYC and Instinct, documenting results. Perform testing on early CPU samples. Active engagement with Engineering, Architecture, Platform, Software, and Product Development teams providing feedback and leadership from the field on future direction. Create necessary training material. Provide training sessions at customer sites. Act as specialist and mentor to frontline Field Application Engineering team Technically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution Automating repeatable procedures Required profile PREFERRED EXPERIENCE: Candidate has a track record in winning HPC opportunities over a 3+ year period Expertise in compiling large codes from source, eg large weather codes, with appropriately linked math libraries and flag optimisation. Strong understanding of different toolchains (e.g. ZenSS, Intel, CPE) Ability to pitch product and influence customers Proven understanding of baseline testing of popular synthetic and real world codes (e.g. HPL, OpenFOAM, molecular dynamics, CFD, weather) Understanding system level hardware and its configuration/impact on performance to enable projections on future performance Customer-facing experience. Able to write technical documents and communicate at an appropriate level depending on the audience Some Linux administration; understanding setup for HPC middleware. Nice to Haves: 5+ years HPC application experience Experience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms. Experience running AI models on CPU or GPU. Any experience understanding/inspecting/writing assembly Understanding of memory and cache hierarchy and methods to query performance/latency at each level Understanding HPC dataflow down to the register-level Security clearance for the national labs in the USA ACADEMIC CREDENTIALS: Bachelors' Degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics) preferred What we offer LOCATION: United Kingdom (but also open to Netherlands, Finland, Poland, Italy and Ireland). Home-based TPBN1_UKTJ

Cure Talent are delighted to be partnered with an established engineering manufacturer developing specialist products for complex technical applications. Following continued investment and growth, they are seeking a Systems Engineer to help bring together Mechanical Engineering, Electronic Engineering, Software Engineering and Physics across their product range. Working closely with the Engineering... JBRN1_UKTJ

Intellectual ambition and academic scholarship lie at the heart of a King’s education, and we aim for every King’s pupil to be inspired to achieve their full academic potential. In line with this aim, each year the school employs a small number of graduates, doctoral and post‑doctoral researchers in a part‑time capacity as part of our academic enrichment programme. These roles, called King’s Rossetti Academics, are in honour of Dante Gabriel Rossetti, a former student of King’s who was an important figure in nineteenth‑century British art and poetry. Rossetti Day is an inter‑disciplinary workshop day for the lower sixth, and the Rossetti Society holds a series of lectures. The programme encourages pupils to explore subjects beyond the curriculum. The purpose of the King’s Rossetti Academics programme is to inspire our pupils in their academic studies by increasing their access to current, intellectually stimulating and specialist knowledge. We are currently inviting graduates, doctoral and postdoctoral researchers specialising in Physics & Engineering to apply to become a King’s Rossetti Academic. The King’s Rossetti Academic (Physics & Engineering) will support curricular and co‑curricular activities relating to Physics & Engineering, and assist pupils in making successful admission applications to university and related subjects. The precise nature of the role will be shaped in accordance with school needs to fit the strengths of the candidate(s) appointed, and we hope the appointed candidate will relish the opportunity to shape and extend our provision further. • Supplementing current departmental support to pupils with university applications., • Running subject extension sessions., • Providing feedback on draft personal statements., • Preparing pupils for admissions tests., • Conducting mock interviews., • Providing strategic advice on university applications., • Supporting the creation and delivery of academic enrichment resources, talks and activities within both the curriculum and co‑curriculum., • Supervising pupils in the research, writing and delivery of individual projects, such as King’s Essays., • Delivering pupil workshops as part of Rossetti Day in January and Curiosity Day in June., • Providing occasional support for our partnership and international schools. Employment will typically be 8 hours per week across one or two days, and so fit well alongside current research or study commitments. Required from: September 2026. • A good undergraduate and/or postgraduate degree in Physics & Engineering or a related subject., • A genuine interest in Physics & Engineering as a contemporary academic discipline; this may be expressed as a current doctoral or post‑doctoral researcher., • An ability to work well with others, and to demonstrate initiative., • Excellent communication, organisation and listening skills., • A desire to enrich the intellectual experience of pupils beyond the exam specifications, and to inspire and support pupils to flourish and reach their academic potential., • An understanding of the application process for the most competitive degree courses in the relevant subject area, and the ability and willingness to support pupils with their preparations for admissions tests and interviews., • Prior experience working in a secondary school environment., • A willingness to contribute to the school’s partnerships programme, for instance supporting our partnership with Harris Academy Wimbledon sixth form and/or our international schools programme., • A willingness to contribute to the school’s wider academic enrichment programme. To apply for this role, please register your details online via our website www.kcs.org.uk. Once you have registered, you can apply for vacancies by logging into the candidate area using your email address and chosen password. You will be asked to fill an online application form, upload a CV and provide a cover letter. This post is exempt from the Rehabilitation of Offenders Act (ROA) 1974. King’s is fully committed to safeguarding and promoting the welfare of children and expects all staff to share this commitment. Applicants will be required to undergo child protection screening appropriate to the post, including checks with past employers and the Disclosure and Barring Service. King’s College School is fully committed to the principles of equality, diversity and inclusivity in its recruitment of teaching and support staff. #J-18808-Ljbffr

London Tyréns AKT’s outstanding reputation, stability and growth has attracted the very best professionals with the promise of progressing and expanding their careers. This continued growth has led to the expansion of the company into key geographies across the globe: Cambridge, Manchester and Bristol in the UK, as well as Copenhagen and Toronto internationally. We are therefore expanding our London studio. The position. Discipline: Envelopes/Facades Location: London Tyréns AKT’s outstanding reputation, stability and growth has attracted the very best professionals with the promise of progressing and expanding their careers. This continued growth has led to the expansion of the company into key geographies across the globe: Cambridge, Manchester and Bristol in the UK, as well as Copenhagen and Toronto internationally. We are therefore expanding our London studio. The position. We are currently seeking a highly motivated Façade Designer to join our team and contribute to the successful delivery of engineering design projects from initial concept through to practical completion. Working across a diverse portfolio of sectors, including commercial, healthcare, retail, industrial, education, hospitality, leisure, and other specialist environments, you will play a key role in producing detailed designs and technical drawings. The role also involves liaising closely with clients, consultants, and multidisciplinary teams, ensuring effective coordination of design and detailing work to meet project requirements. This is an exciting opportunity to be involved in innovative, high-quality façade solutions within a collaborative and fast-paced environment. • Working with the client, architect and other engineering consultants to determine the best facade design outcomes., • Design of project details under the guidance of a team leader or Associate Director., • Producing concept sketches, detailed designs, calculations and reports in accordance with project programmes., • Liaising with other disciplines and ensuring the coordination of design and detailing work appropriate to the project., • Review and evaluate design deliverables to advise on compliance with specifications and industry guidance/standards., • Coordinate with project teams to resolve project related issues and ensure deliverables are met., • Maintain internal document control of drawings., • Edit specifications to clarify the technical requirements of the design., • Review facade contractor’s tender returns and design submissions., • Witness testing of facade systems., • Experience with developing and presenting ideas to Architects, Clients and Contractors in meetings., • Sketching - ability to communicate ideas and develop concepts using hand sketches., • Design/Detailing - competence in 2D and 3D CAD software., • Building Physics - understanding of the principles governing thermal performance, condensation risk, etc and how they are applied in facade design., • Structure - understanding how the principles of structural mechanics are applied in facade design. Software knowledge, preferably Strand, Autodesk Robot and SJ Mepla., • Knowledge of materials, systems and installation techniques., • Report writing - ability to compile well written text with suitable images., • Familiarity with facade system designs, fabrication and assembly techniques., • Ability to understand and react to design changes and budget constraints., • Relevant degree (Facade Engineering, Architecture, Building Engineering, Structural Engineering, etc.) and preferably a relevant postgraduate degree., • Relevant experience with a strong working knowledge of BS/EN standards., • A rounded knowledge of the engineering aspects of facade design and construction., • Strong written, verbal and sketching communication skills., • A collaborative approach., • Ability to work under pressure and to deadlines. The chance to work for an innovative, design-led studio based in London with the opportunity to work on some of the very best projects across Scandinavia, Europe and internationally, plus a friendly, dedicated team and a competitive salary. You’ll receive Tyréns AKT’s many employee benefits including a vibrant social calendar, with many company-funded events and activities. All applications will be treated in the strictest confidence. Tyréns AKT is an equal opportunities employer and welcomes applications from all communities. #J-18808-Ljbffr

Discipline: Envelopes/Facades Location: London Tyréns AKT’s outstanding reputation, stability and growth has attracted the very best professionals with the promise of progressing and expanding their careers. This continued growth has led to the expansion of the company into key geographies across the globe: Cambridge, Manchester and Bristol in the UK, as well as Copenhagen and Toronto internationally. We are therefore expanding our London studio. We are currently seeking a highly motivated Façade Designer to join our team and contribute to the successful delivery of engineering design projects from initial concept through to practical completion. Working across a diverse portfolio of sectors, including commercial, healthcare, retail, industrial, education, hospitality, leisure, and other specialist environments, you will play a key role in producing detailed designs and technical drawings. The role also involves liaising closely with clients, consultants, and multidisciplinary teams, ensuring effective coordination of design and detailing work to meet project requirements. This is an exciting opportunity to be involved in innovative, high-quality façade solutions within a collaborative and fast-paced environment. • Working with the client, architect and other engineering consultants to determine the best facade design outcomes., • Design of project details under the guidance of a team leader or Associate Director., • Producing concept sketches, detailed designs, calculations and reports in accordance with project programmes., • Liaising with other disciplines and ensuring the coordination of design and detailing work appropriate to the project., • Review and evaluate design deliverables to advise on compliance with specifications and industry guidance/standards., • Coordinate with project teams to resolve project related issues and ensure deliverables are met., • Maintain internal document control of drawings., • Edit specifications to clarify the technical requirements of the design., • Review facade contractor’s tender returns and design submissions., • Witness testing of facade systems., • Experience with developing and presenting ideas to Architects, Clients and Contractors in meetings., • Sketching – ability to communicate ideas and develop concepts using hand sketches., • Design/Detailing – competence in 2D and 3D CAD software., • Building Physics – understanding of the principles governing thermal performance, condensation risk, etc and how they are applied in facade design., • Structure – understanding how the principles of structural mechanics are applied in facade design. Software knowledge, preferably Strand, Autodesk Robot and SJ Mepla., • Knowledge of materials, systems and installation techniques., • Report writing – ability to compile well written text with suitable images., • Familiarity with facade system designs, fabrication and assembly techniques., • Ability to understand and react to design changes and budget constraints., • Relevant degree (Facade Engineering, Architecture, Building Engineering, Structural Engineering, etc.) and preferably a relevant postgraduate degree., • Relevant experience with a strong working knowledge of BS/EN standards., • A rounded knowledge of the engineering aspects of facade design and construction., • Strong written, verbal and sketching communication skills., • A collaborative approach., • Ability to work under pressure and to deadlines. The chance to work for an innovative, design-led studio based in London with the opportunity to work on some of the very best projects across Scandinavia, Europe and internationally, plus a friendly, dedicated team and a competitive salary. You’ll receive Tyréns AKT’s many employee benefits including a vibrant social calendar, with many company-funded events and activities. All applications will be treated in the strictest confidence. Tyréns AKT is an equal opportunities employer and welcomes applications from all communities. #J-18808-Ljbffr

1 day ago – Be among the first 25 applicants Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. We work with clients across real estate, infrastructure, energy and natural resources to deliver outcomes that improve people’s lives. Our capabilities include programme, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority‑owned by CBRE Group, Inc., the world’s largest commercial real‑estate services and investment firm, and work closely with CBRE to provide a premier programme, project and cost‑management offering worldwide. Our 24‑month Graduate Development Programme (GDP) provides you with a learning environment to help you become a well‑rounded consultant and launch your career. From day one, you’ll dive into the heart of Turner & Townsend, building internal networks and deepening your industry knowledge beyond textbooks and lectures. A tailored development plan and a dedicated Graduate Development Manager will guide you through technical and commercial competencies essential to success at Turner & Townsend. We offer a blend of technical and behavioural training, learning from peers and experienced professionals, and support the pursuit of professional qualifications with esteemed institutions. You will also have the opportunity to gain an MSc in Facade Engineering through UWE or work toward membership with the Society of Facade Engineering. Investigating and diagnosing façade issues through detailed inspections. Contributing to effective maintenance and replacement strategies. Advising on design and performance metrics. Guiding clients on compliance, risk management and achieving environmental standards, maximizing value. Delivering sector exposure across real estate, infrastructure, advisory, defence and energy, and providing commercial, strategic and analytical advice to clients. Engaging with clients and colleagues to drive social and environmental change, encourage innovation and create a sustainable future. Participating in a personalised training plan and technical training academy to deepen expertise and prepare for future challenges. Supporting a collaborative team culture that fosters professional growth. Contributing to sustainability, innovation, inclusivity, wellbeing and community impact initiatives. • Academic credentials: a degree (or on‑track) in Architectural Technology, Architectural Engineering, Building Physics, Civil Engineering, Mechanical Engineering, Structural Engineering (minimum 2:1) or an MSc in Facade Engineering., • Technical acumen: a solid understanding of building surveying technical aspects and genuine interest in the real‑estate and built‑environment sectors., • 25 days annual leave, • Buy and sell annual leave, • Corporate gym membership, • Cycle scheme, • Pension scheme In some regional roles, the ability to drive may be necessary due to the location of client offices. For Defence arena positions, you must pass both a Baseline Personnel Security Standard check and UKSV SC clearance, which will commence after you accept an offer. SOX control responsibilities may be part of this role where applicable. Follow our social media channels for updates and additional information: • Twitter, • Instagram, • LinkedIn London, England, United Kingdom – 1 week ago. On behalf of Turner & Townsend, we are committed to equal opportunity employment. #J-18808-Ljbffr

Radiant is redefining how AI infrastructure is built. Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. As part of the Infrastructure Solutions team, the Cluster Architect is the tip of the spear leading Radiant’s new GPU deployments. The Cluster Architect contributes to the technical strategy, reference architecture, and governance standards underpinning Radiant's GPU compute platform. They translate the high-level designs provided by the Customer Success organization into fully operational supercomputers. In conjunction with the Datacenter Engineering team, they lead the definition of the low-level design of upcoming high-performance computing (HPC) and artificial intelligence (AI) infrastructure deployments. You must be a solution finder, able to adapt to evolving technology and customer requirements, and be ready to handle scale. The right person for this role will be technically focused and detail-oriented, and able to work with the broader team to successfully deliver some of the world’s largest supercomputers at a rapid pace with precision. It is critical to document each step of the process to enable effective communication with internal and external stakeholders. The Infrastructure Engineering team spearheads the strategy, roadmap, and delivery of critical HPC/AI infrastructure to the broader Technology and Customer organizations. Its mission is to deploy scalable, secure, and efficient infrastructure solutions tailored to the organization's strategic needs. The team defines Radiant’s supercomputers’ reference architecture in line with the customer, software, and operational requirements of the company. They work closely with third-party suppliers to provide and maintain the list of technologies that form part of Radiant’s portfolio of offerings. They provide technical support throughout the procurement process with vendors to ensure the suitability of RFI/RFP responses. They work in tandem with OEMs and infrastructure providers during the infrastructure rollout, and providing technical inputs to DC providers and OEMs They work closely with the program management office, and align the hardware infrastructure rollout programs with the parallel datacenter fitout and software engineering programs. They play an instrumental role in the successful deployments of cloud infrastructure, whilst ensuring optimal performance and reliability for high-demand computing environments. Once accepted, the infrastructure solutions are then handed over to the Infrastructure Operations team who manages the daily management of the infrastructure. • Engage with key stakeholders (such as the Program Management Office, Data Center Engineering, Solutions Engineering and Infrastructure Operations teams) and translate inputs into Radiant’s reference architecture and low-level designs blueprints., • Remain abreast of technology advancements and roadmaps with key vendors in the space., • Lead the low-level design of high-density AI supercomputer systems (compute, interconnect, storage, management)., • Participate in the Architecture Review Board involving key stakeholders to ensure collaboration and company alignment behind the designs being produced., • Evaluate tradeoffs between performance, power, cooling, serviceability, and cost throughout the procurement process., • In tandem with potential suppliers, drive the creation of detailed low-level designs, including (but not limited to):, • Rack elevation diagrams and layouts, • Data center floor plans and spatial planning, • Power distribution and cooling architecture and related detailed specifications, • Detailed Bill of Materials (BoM), • Port mapping documents., • Drive thorough technical evaluations and response accuracy from vendors during the RFx processes, ensuring designs are aligned with vendor capabilities and long-lead item constraints., • Play a hands‑on and pro‑active role in the manufacturing, burn‑in, cabling, logical configuration, benchmarking, and logical implementation of new deployments to turn designs into production‑grade systems., • Drive acceptance criteria with quality, reliability, safety, and performance goals in mind., • Work with the Software Engineering and Solutions Engineering teams to ensure the infrastructure supports AI workload requirements., • Engage with project management to define milestones, risks, resourcing, and deliverables associated with the delivery., • Produce accurate architecture diagrams, configuration documentation, runbooks, and operational guidance to facilitate the handover of the new deployments to the Infrastructure Operations team., • Establish delivery best practices and continuously improve the designs, processes, and documentation through the participation of “lessons learned” workshops., • BSc in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other related Engineering fields., • 5+ years of solution architecture experience, demonstrating motivation and skills to drive technical design and delivery processes., • Deep expertise in datacenter engineering (mechanical, electrical and plumbing), GPU systems, high performance networking (like InfiniBand), including a proven understanding of network topologies and storage architecture., • Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and infrastructure software solutions., • Demonstrated experience producing detailed infrastructure designs (including network topologies, rack layouts, BoMs, power/cooling planning…), • Deep understanding in datacenter fit‑out, and power/cooling constraints, • Excellent interpersonal and communication skills, with a track record interfacing with various types of stakeholders (engineering/operations teams, vendors, etc.) and writing clear deliverables., • Comfortable working in fast-moving, high-complexity technical environments., • Prior work experience in HPC, Telco, or hyperscale supercomputing environments designing, delivering, and/or operating large scale HPC systems., • Work or research experience in networking fundamentals, TCP/IP stack, and data center designs., • Familiarity with monitoring/telemetry systems and observability for infrastructure health., • Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm., • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, datacenter compute/network/storage deployments., • Hands‑on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development. What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. • 25 days of annual leave, • A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work., • Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together., • Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job., • Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa., • Cycle to Work Scheme: we’re committed to building a sustainable business, so we encourage cycling to work., • Gympass subscription to a variety of gyms and wellbeing apps, • Participation in the company shares program, • Enhanced parental pay & leave We are an equal opportunity employer and we strive to reduce unconscious bias throughout our hiring process. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. #J-18808-Ljbffr

We're looking for a backend engineer to join the Repeats team. You will work on the services that decide which repeat customers get a loan, at what price, and how much they can borrow. These sit at the heart of iwoca's back book. The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we've provided billions in funding to over 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we ensure businesses get the funds they need - often within minutes. The Repeats team is one of iwoca's funnel teams. We grow customer lifetime value after a business's first loan. That means we own the underwriting, pricing, and product experience for two segments that make up most of iwoca's back-book value: top-up customers who borrow again while still repaying, and loan-ended customers who return for a new loan. Almost every repeat borrower goes through code we own. The team is cross-functional - backend, frontend, product, design, data science and analytics - shipping behind split tests and measuring impact in Looker rather than on gut feel. Your first project will be the re-architecture of our flex-loan repeat offer pipeline: the flow that decides who is eligible for a new loan, what they pay, and how much they can borrow. This area has been under-invested for years. Once the new pipeline is in place, product has a clear runway of features ready to ship on top of it. You will own backend features end-to-end, from design through to shipping and monitoring them in production. Over time, you will pick up frontend work and grow into a full-stack role. Work on the systems that shape every repeat customer's offer, and move the metrics behind iwoca's back-book performance. Ship features that make it faster and clearer for small business owners to access follow‑on funding. Work through the full development lifecycle - from technical design and implementation to rollout behind a split test - on well-defined components. Maintain and support the core services behind repeat lending: the lending_decision app inside iwoca-django, the repeats pricing and offer-amount services, and the customer account pages. Help monitor production and troubleshoot issues when they come up. Work closely with Product, Design, Data Science and Analytics to build solutions that make sense technically and land well for customers. Show up to team rituals - stand-ups, retros, planning - with context and questions. Write clean, well‑tested Python, and take part in code reviews to learn from teammates and keep quality high. Pick up frontend work in Pandora (React, TypeScript) so you can own features end-to-end over time. Essential Comfortable writing clear, testable Python. You do not need to be an expert. 1+ years of commercial engineering experience. Working knowledge of relational databases. We use PostgreSQL. Curious about the full stack and up for picking up front end (React, TypeScript) over time. Clear written and spoken communication. You can explain technical work in a way non-engineers can act on. You care how your work affects customers, and use experiments and metrics to guide decisions. You have experience of writing automated tests and take code quality and safe releases seriously. You use AI (Cursor, Claude Code or similar) in your daily flow - whether for work or for fun. You use it to blast through boilerplate and research so you can focus on the hard parts: complex architecture, rigour and high‑stakes decisions. Bonus: Familiarity with Python web frameworks (Django, FastAPI). Exposure to Docker, AWS or Kubernetes at any level. Any exposure to data tooling such as Snowflake or Looker. A strong numerical or technical background, with a degree in maths, physics, computer science, engineering, or relevant industry experience. We expect to pay from £60,000 - £80,000 for this role. But, we're ope #J-18808-Ljbffr

Employer: DWS Group Title: Senior Capital Markets Specialist Location: London Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That’s why we are ‘Investors for a new now’. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. This is your chance to invest in your future. DWS Xtrackers covers a full range Exchange Traded Funds across Equity, Commodities and Fixed Income, as well as Segregated mandates, covering a wide range of index providers and array of benchmark types from multiple ESG flavours to Thematics. DWS has an integrated investment platform with a strong footprint globally. You’ll be joining the ETP Capital Markets team, which is responsible for managing primary and secondary market activities along with broker dealer relationships and driving strategic initiatives and process improvements across other key external partners’ relationships. As a Senior Capital Markets Specialist you will (be): • Lead the day-to-day management of Xtrackers ETP primary market processes, focusing on operational efficiency, scalability, and continuous process improvement., • Act as a senior Capital Markets Specialist within Xtrackers, providing strategic, operational, and market expertise to colleagues across Sales, Portfolio Management, Marketing, Operations, and Product teams., • Identify, manage and mitigate operational risks, ensuring robust governance, escalation, and resolution procedures., • Partner with internal stakeholders across Trading, Operations, Product, Portfolio Management, Legal, Compliance, and Sales to support new product launches, cross-listings, and platform developments., • Develop and enhance primary market mechanisms that support efficient creation and redemption activity, enabling tight spreads, strong liquidity, and depth in secondary markets., • Build, maintain and own relationships with authorised participants, market makers, broker-dealers, exchanges, and other market infrastructure providers to enhance primary and secondary market efficiency., • Engage with exchanges regarding market structure, trading platform requirements, market maker programmes, fees, and regulatory developments., • Serve as a key point of contact for internal and external clients, responding to technical product enquiries and supporting capital markets-related initiatives., • Lead the development of market intelligence, competitor analysis, and trading analytics to support product strategy, inform business decision-making, and strengthen client engagement., • Utilise high-frequency market data to develop trading insights., • Lead initiatives aimed at improving the quality and accuracy of European Xtrackers ETP market data, ensuring robust, timely, and scalable data management processes., • Collaborate with Sales, Marketing, Product Development, and external partners to maximise the value delivered to clients through market data, research, and analytics., • Support product development and delivery by providing senior capital markets insights on competitor products, secondary market dynamics, broker requirements, and market structure considerations for new product launches and listings., • Contribute to the ongoing development of the Xtrackers capital markets platform and broader business strategy. We are looking for: • Experience within ETF/ETP Capital Markets, Delta One, Synthetic Products, Equity Derivatives, or a related trading environment., • Strong understanding of financial markets, exchange-traded products, and market structure., • Knowledge of Total Return Swaps (TRS), synthetic replication, and associated trading and operational processes., • Strong analytical and problem-solving skills with a high degree of attention to detail., • Experience managing/leading projects and coordinating multiple stakeholders across complex initiatives., • Strong risk awareness, with the ability to identify issues and implement effective controls and mitigation measures., • Advanced data analysis skills, including experience with Python, SQL, or similar analytical tools., • Experience using Bloomberg, Reuters, or equivalent market data platforms., • Strong communication and interpersonal skills, with the ability to engage effectively with senior stakeholders, clients, and external partners., • Self-motivated team player with a proactive approach to delivering results in a fast-paced environment., • Strong Experience working with ETF market makers, authorised participants, exchanges, or liquidity providers., • Knowledge of regulatory, operational, and trading considerations relevant to European ETF markets., • Fluency in an additional European language, would be beneficial, • CFA Charterholder or CFA candidate, would be beneficial, • Degree in Mathematics, Finance, Economics, Engineering, Computer Science, Physics, or another quantitative discipline., • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves sand it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. • 30 days’ holiday + bank holidays, with the option to purchase additional days, • A non-contributory pension scheme, up to 10%, • Physical and Mental Health Well-Being benefits including (but not limited to) Private Medical Cover, a complimentary GP service and the support of Mental Health First Aiders, • Family friendly benefits including generous parental leave packages (supporting all variations of family set-ups), healthcare plans and travel insurance, • The opportunity to support our CSR strategy which is focused on combatting climate change and achieving greater social justice. You can make donations to our partner organisations or take part in corporate volunteering opportunities in your local communities by providing on hand support. DWS’ Hybrid Working model in the UK is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Employees who wish to sign-up to our Hybrid Working model are required to work in the office two days a week, and given the flexibility to work from home for the remaining three. Some business groups may need you to spend more time in the office, but this will be discussed and made clear as part of your application and interview process. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. #J-18808-Ljbffr

We are seeking a highly skilled, motivated and proactive ML Research Engineer to join our dynamic team. In this role, you will be responsible for building and optimizing complex simulation environments to facilitate the training of machine learning models. The ideal candidate will have a strong background in programming, modelling and machine learning, with optional expertise in reinforcement learning. Aeris-UK is an applied AI company working on real-world problems that require creativity, rigour and solid engineering. We build machine learning systems that are efficient, understandable and ready to operate in the complexity of real environments, whether that involves supporting infrastructure resilience, enabling autonomous decision‑making or developing tools to help people reason under uncertainty. Our projects are practical in focus but intellectually demanding, drawing on ideas from simulation, human‑AI interaction, multi‑agent learning and model‑based reasoning. We are a small team with a strong research culture and a shared interest in solving meaningful and challenging problems. Everyone contributes directly to project work, and we collaborate across disciplines, whether your background is in reinforcement learning, software engineering, probabilistic modelling or systems design. We often work in partnership with researchers, government teams and other specialists, so communication and openness are important in everything we do. As a team, we value clarity over hierarchy and experimentation over perfection. We are growing steadily and carefully, with a mix of longer‑term research and near‑term applications. For someone who wants breadth, ownership and exposure to challenging applied research, this offers the chance to work across technical boundaries and influence how we grow. This may include: • Developing and implementing complex simulation environments to support machine learning model training., • Collaborating with clients and stakeholders to understand requirements and design simulation scenarios aligned with real‑world applications., • Applying expertise in modelling to create realistic and scalable simulations., • Carrying out data science activities, including data exploration and analysis, to inform simulation design and model training strategies., • Designing and implementing machine learning models, with a focus on both supervised and unsupervised learning techniques., • Exploring and implementing reinforcement learning algorithms, with a preference for experience in multi‑agent environments., • Developing and integrating physics or engineering models into simulation environments to enhance realism and accuracy., • Applying your strong software skills, including proficiency in Python and ideally another programming language., • Applying DevOps processes to ensure seamless integration of ML training pipeline., • Taking ownership of defined technical workstreams, breaking down ambiguous problems into practical next steps, and helping the team identify risks, blockers and opportunities. Someone with many of the following: • Master’s degree in Computer Science, Machine Learning or any related field., • Proven experience in programming with Python and familiarity with at least one additional programming language., • Demonstrated experience in simulation and machine learning., • Familiarity with or experience in agile project management methodologies., • Strong understanding of data science principles, including data exploration and analysis., • Proficiency in developing and implementing machine learning models, both supervised and unsupervised., • Familiarity with model development, such as physics or engineering models, for integration into simulations., • Good software development and debugging skills., • Experience with DevOps practices for efficient integration and deployment., • Optional: Experience in reinforcement learning, especially in multi‑agent environments., • Evidence of taking ownership of technical tasks or workstreams, proposing sensible next steps, and communicating risks, trade‑offs and progress without needing close supervision., • Comfortable working in a small team where engineers are expected to show initiative, lead on tasks when appropriate, and contribute ideas to project direction rather than waiting for fully specified instructions. The Aeris team comes from different personal, professional and organisational backgrounds. We are driven by a deep intellectual curiosity that powers us forward each day. You’ll learn something new from people you meet and also have the opportunity to make your mark on a growing start‑up. • Flexible working: We believe people have different responsibilities and interest that require something different to a strict working day. We trust our people to organize for their own work., • Remote working but with the opportunity to work together weekly (if in London)., • Generous pension: 8% employer salary contribution if employee pays at least 5% contribution; 5% employer contribution otherwise., • Optional private health insurance, • Eye tests and contribution towards cost of corrective lenses., • Life insurance, critical illness protection (optional) and income protection., • Social events: We have frequent socials and informal get‑togethers to help make sure you enjoy your time with us., • Professional memberships (with qualifying body). If you are passionate about pushing the boundaries of machine learning research and have the skills to contribute to our innovative projects, we invite you to apply and join our forward‑thinking team. #J-18808-Ljbffr

Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a FPGA Intern, you will build advanced trading applications leveraging cutting‑edge technology. DRW enables our FPGA Interns to develop a real‑world trading centric FPGA application under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organized social events to truly discover what it is like to live and work in London. • Design, develop, test, and deploy proprietary FPGA solutions. Examples include creating:, • Decoders to receive raw packet data from various exchanges and translate it into a more accessible form., • Modules which take decoded data and trigger events for specific instruments traded on that exchange., • Novel FPGA architectures to expand our data processing capabilities., • Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner., • Conduct robust research using all available resources to determine the best solution., • Collaborate with software developers, quantitative traders, and researchers as well as business analysts in cross‑functional team environments., • Are pursuing a Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, Computer Science, Computer Engineering, Physics, Mathematics, Machine Learning, or any related science discipline and have an expected graduation date between December 2027 and June 2028., • Have exposure to the FPGA development flow., • Have strong understanding of data structures, and algorithms., • An eagerness to learn and apply what you have learned, and to know the impact of your code., • Have strong problem‑solving and analytical reasoning skills., • Have strong communication and collaboration skills., • Exhibit excellent development skills in System Verilog, Verilog or VHDL and have a working knowledge of C++ or Python and a deep curiosity to learn and absorb new technologies quickly., • Meaningful projects: You’ll receive a challenging project to complete during your time here. Each project, advised by a hardware engineer, promotes a comprehensive learning experience and provides you with meaningful work experience., • Community: Throughout the summer, we host a variety of educational, social and team‑building activities to foster friendship and camaraderie., • Housing: DRW provides fully furnished apartments located close to the office –making your morning commute as easy as possible., • Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings., • Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy Notice at privacy-notice. #J-18808-Ljbffr

Reporting/Dashboarding Nine Elms, London - Full-time As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best‑in‑class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way. Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi‑trillion dollar convenience retail market, currently dominated by major players, by developing best‑in‑class customer‑centric technology and fulfilment solutions. Zapp partners with some of the world’s leading brands to deliver an exclusive range of hand‑picked products 24/7, delivered in minutes. • Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML, • End‑to‑End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate., • Reporting/Dashboarding, • Collaboration: Work closely with cross‑functional teams to define, design, and implement new features, driving both business and technical excellence., • Code Quality: Write scalable, maintainable, and high‑quality code while adhering to best practices for testing, deployment, and version control., • Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting., • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field., • Expertise in Python and developing high-quality, scalable code., • Hands‑on experience with cloud platforms like GCP, AWS, or Azure., • Solid understanding of SQL., • Familiarity with version control (Git) and automated deployment pipelines (CI/CD)., • Past work in retail demand forecasting., • Experience working in a startup environment., • Experience with GCP/Vertex AI., • Competitive salary & equity package., • Enjoy 25 days of holiday per year (plus all bank holidays)., • Private Health Insurance., • Extended sick pay and maternity/paternity leave pay., • Cycle to work scheme., • Flexible/hybrid working arrangement. #J-18808-Ljbffr

We are seeking a talented Forward Deployed Engineer to join the central Data & AI team of a leading Equity Long/Short hedge fund in London. This is a unique opportunity to work alongside experienced engineers, data scientists, and investment professionals, building cutting‑edge tools that directly support front‑office investment teams. You will help translate complex business challenges into scalable technical solutions, leveraging state‑of‑the‑art AI and data infrastructure in a fast‑paced, high‑performance environment. • Partner closely with portfolio managers, analysts, and researchers to understand investment workflows and identify opportunities for automation and innovation., • Design, build, and deploy AI‑powered applications and data tools used by front‑office teams., • Develop solutions that integrate large‑scale data, machine learning models, and modern software engineering practices., • Work within a highly collaborative central Data & AI team, learning from experienced mentors and contributing to strategic initiatives across the firm., • 1–2 years of software engineering experience., • Outstanding academic record, ideally in Computer Science, Mathematics, Engineering, Physics, or a related quantitative discipline., • Strong programming skills and a passion for building high-quality software., • Intellectual curiosity, problem‑solving ability, and a desire to work at the intersection of technology and investing., • Interest in AI, machine learning, and modern data platforms. #J-18808-Ljbffr

At M&G, our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through telling it like it is, owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role. The Life Investment Office (LIO) is responsible for approximately £159bn of assets, including the UK’s largest £134bn With Profits Fund, delivering multi-asset and annuity solutions on behalf of the Prudential Assurance Company (PAC). The LIO has deep expertise across asset allocation, manager selection and oversight, strategy design, derivatives and portfolio management. By combining scale, experience and global partnerships, LIO focuses on building resilient, diversified portfolios designed to deliver long-term value for clients. The Senior Quantitative Analyst will play an important role in developing the models, analytical tools, and quantitative frameworks used to support portfolio design and investment decisions of the Life Investment Office. The role will support Strategic Asset Allocation, Reference Portfolio design and broader portfolio construction and risk analysis across LIO’s multi-asset portfolios. The successful candidate will combine strong quantitative and technical skills with practical investment judgement. They will develop robust analytical frameworks and tools, assess portfolio risks, trade-offs and sensitivities, and translate quantitative analysis into clear insights for investment decision-making. The role will involve independently delivering complex quantitative analysis and modelling within agreed investment priorities, working closely with members of the Quantitative Portfolio Design team and colleagues across Investment Office. They will also contribute to the continued development of the team’s analytical capabilities. • Support the development of Strategic Asset Allocation and Reference Portfolios across LIO’s multi-asset portfolios, • Undertake quantitative portfolio analysis to assess risk and return characteristics and portfolio trade-offs, • Develop portfolio optimisation, scenario analysis and robustness-testing capabilities to support portfolio construction and investment decisions, • Evaluate the impact of investment assumptions, portfolio constraints and implementation considerations on portfolio outcomes, • Develop clear portfolio diagnostics and analytical outputs, translating complex quantitative analysis into insights for senior investment decision-making, • Develop and maintain quantitative models and analytical tools, primarily using Python, with appropriate testing, documentation and version control, • Critically evaluate quantitative models and methodologies, understanding their limitations and applying practical investment judgement when interpreting results, • A strong quantitative academic background in mathematics, statistics, physics, computer science, financial engineering, economics or a related field, • Significant experience in quantitative investment, portfolio construction, risk modelling or a closely related area, • A strong understanding of multi-asset portfolio analysis, investment risk and portfolio-construction techniques, • Advanced Python skills and experience developing reliable analytical tools and processes, • The ability to apply and critically evaluate quantitative models, understand their limitations and exercise appropriate investment judgement, • Strong analytical and problem-solving skills, with the ability to structure and address complex or ambiguous investment questions, • The ability to communicate technical concepts clearly and work effectively with both technical and non-technical colleagues and stakeholders, • High standards of accuracy, transparency, documentation and governance London Manager / Expert We’re dedicated to supporting your wellbeing and helping you thrive, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, and financially plan for the future. Our UK benefits include: • A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions)., • Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work., • Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments., • Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture., • Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind. To explore more about life at M&G and our full benefits offering, visit Life at M&G At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds – across gender, ethnicity, age, disability, sexual orientation and more – including neurodivergent individuals, career returners and those with military service experience. M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions. If you would like to participate in the initiative, you will have the opportunity to indicate this on your application. We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage, please contact us at: #J-18808-Ljbffr

London, UK Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. • Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure, • Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet, • Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth, • Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes, • Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling, • Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets, • Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization, • Have hands-on experience building and operating large-scale observability or monitoring infrastructure, • Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis, • Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale, • Are comfortable digging below the application layer into the kernel, the network stack, or the hardware, • Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities, • Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team, • 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure, • Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility, • Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization, • Kernel- and syscall-level debugging experience and performance engineering craft, • Experience profiling or instrumenting accelerator workloads, • Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends, • Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies, • Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn aboutour policy for using AI in our application process. #J-18808-Ljbffr

We are seeking an experienced Senior Electrical Systems Engineer to join a high-profile, long term space programme based in London. The successful candidate will support the technical development of advanced spacecraft systems, with a particular focus on electrical and avionics architecture, interfaces, requirements and system-level integration. This is an initial 6-month contract, with the role sitting within a 5-year programme, offering the opportunity to contribute to a technically challenging project across its development and integration lifecycle. The role is offered on a hybrid basis, requiring 2 days per week on-site in London, with the remainder worked remotely. • Develop and maintain spacecraft electrical system and avionics architectures., • Provide electrical systems engineering from initial specification through design, integration and test., • Perform requirements engineering, including requirements analysis, allocation and flow-down/flow-up., • Define and manage electrical interfaces between spacecraft subsystems and equipment., • Support On-Board Data Handling, Electrical Power Systems, Satellite Communications, remote sensing and robotics teams., • Support the definition and development of electrical and electronic test equipment., • Define and support verification, validation and test plans., • Contribute to system-level development, verification and AIV/T activities., • Support spacecraft and electrical unit integration and testing., • Investigate technical issues and support fault diagnosis and resolution., • Produce technical documentation, engineering reports and verification evidence., • Support system and spacecraft-level technical reviews., • Contribute to operational documentation and procedures, including preparation for commissioning and in-orbit operations., • Develop, review and maintain system-level electrical requirements., • Define and document electrical interfaces between units and subsystems., • Contribute to technical specifications, design documentation, verification plans and engineering reports., • Support FMEA and other system-level analysis activities., • Ensure electrical engineering activities are appropriately documented throughout the project lifecycle., • Support the preparation of Requests for Proposal (RFPs) for electrical and electronic hardware., • Review supplier technical proposals and provide technical input to supplier selection., • Provide technical supervision and support for subcontractors and external suppliers., • Review and assess electrical aspects of spacecraft equipment developed by other disciplines., • Support the delivery and acceptance of electrical system hardware., • Contribute to the development of future electrical and avionics system architectures., • Support detailed electronics design and development activities where required., • Review electrical and electronic designs for compliance with system requirements., • Support hardware development, build, integration and test., • Contribute to design improvement and technical problem-solving throughout the programme., • BSc or MSc in Electrical Engineering, Electronic Engineering, Aerospace Engineering, Physics or a related discipline., • 5+ years of relevant Electrical Engineering experience within the space industry, ideally in systems, avionics, data handling or power electronics., • Strong experience in system-level requirements engineering and electrical interfaces., • Experience producing and reviewing technical engineering documentation., • Experience working through established engineering and programme lifecycles., • Previous active participation in formal design reviews, such as PDR and CDR., • Experience supporting system integration, verification and testing., • Strong understanding of electrical and electronic systems., • Ability to work collaboratively across electrical, avionics, software, mechanical and systems engineering disciplines., • Strong organisational skills, with the ability to manage multiple technical activities simultaneously., • Detailed understanding of electronics analysis, design, build and test., • Hands-on electronics design and test experience., • Experience with fault diagnosis and technical troubleshooting., • Knowledge of ECSS, MIL standards and standards tailoring., • Experience with EMC/EMI constraints, analysis and mitigation., • Experience with FMEA and system-level verification and validation., • Experience with spacecraft AIV/AIT activities., • Experience supporting flight operations or in-orbit commissioning., • Experience providing technical leadership within an engineering team., • Experience working with institutional customers such as ESA or the UK Space Agency., • Experience managing or technically supervising suppliers and subcontractors #J-18808-Ljbffr

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. We are seeking an experienced Digital Payload Systems Engineer to provide technical leadership for complex digital space systems. This role owns end-to-end digital payload architecture, system performance, requirements, technical budgets, verification strategy, and long-term payload evolution. The successful candidate will serve as a senior technical authority across FPGA and ASIC based digital systems, independently defining complex problems, driving architecture decisions, coordinating cross-functional execution, and mentoring other engineers. This role requires deep subject matter expertise, strong systems judgment, and the ability to influence technical outcomes across programs without direct authority. • Own end-to-end digital payload system performance, architecture, requirements, and verification strategy., • Lead architecture definition and trade studies for FPGA, ASIC, DSP, high-speed I/O, clocking, and payload processing systems., • Define and resolve complex system-level problems across hardware, firmware, software, RF, integration, and test teams., • Drive design decisions for beamforming, channelization, regenerative payloads, and standards-based implementations including DVB-S2, DVB-S2X, DVB-RCS, and 3GPP., • Own technical budgets, margin posture, assumptions, risks, and analytical models supporting program decisions., • Develop and maintain key technical artifacts, including SRDs, TRDs, interface specifications, trade studies, and verification plans., • Lead requirements decomposition, allocation, traceability, and burndown across subsystem teams., • Support major lifecycle reviews including SRR, PDR, CDR, test readiness, and operational readiness reviews., • Define system-level verification and validation strategies with integration and test teams., • Provide technical leadership on interfaces, timing, throughput, resource utilization, high-speed data movement, and payload processing behavior., • Communicate technical recommendations, risks, and tradeoffs to engineering and program leadership., • Mentor engineers and help improve systems engineering practices, standards, and digital payload development processes., • Bachelor’s degree in Engineering, Physics, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience., • 8+ years of relevant experience in systems engineering, digital payload development, FPGA or ASIC based systems, aerospace, space, or mission-critical systems., • Demonstrated ability to independently define ambiguous technical problems, select appropriate methods, and drive resolution across teams., • Proven experience owning payload or system-level technical budgets for performance, latency, throughput, power, timing, resources, margin, and risk., • Deep experience with requirements development, decomposition, allocation, traceability, and verification closure., • Strong understanding of full lifecycle systems engineering from concept definition through integration, verification, and operational readiness., • Significant FPGA and ASIC architecture or implementation experience., • Strong technical foundation in DSP, communication systems, high-speed digital interfaces, and payload data path architecture., • Proficiency with VHDL, Verilog, SystemVerilog, or equivalent hardware description languages., • Deep understanding of SERDES, transceivers, clocking architectures, synchronization, timing closure, high-speed link bring-up, and lab debugging., • Ability to influence technical outcomes across multidisciplinary teams without direct authority., • Strong communication skills for senior-level design reviews, risk discussions, and technical decision forums., • Experience mentoring engineers and improving technical practices across a team or organization., • Experience with satellite payload architectures, digital transparent processors, regenerative payloads, or onboard processing systems., • Familiarity with beamforming, channelizers, modem architectures, waveform processing, packet processing, or high-throughput satellite systems., • Familiarity with DVB-S2, DVB-S2X, DVB-RCS, 3GPP, or related communications standards., • Experience with MBSE, requirements management tools, architectural modeling, or digital engineering environments., • Background in high-reliability, radiation-tolerant, mission-critical, or space-qualified systems., • Ability to balance technical rigor with cost, schedule, risk, reuse, manufacturability, and verification constraints., • Track record of contributing to technical strategy, roadmap development, design standards, or reusable architectures. _ #LI_EMEA Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. As a Senior CFD Engineer – Plasma Specialist, you are a problem solver passionate about creating practical solutions that help customers make better engineering decisions. You bring deep expertise in plasma physics and excel at working directly with customers, often on-site to build high-fidelity computational models integrated into AI tools that are both useful and used. We are seeking a skilled Senior CFD Engineer with expertise in plasma physics applied to semiconductor manufacturing, including plasma etching, deposition, and surface processing. We are particularly interested in candidates with a strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams and tackle highly niche engineering challenges without needing to learn the industry from scratch. Strong communication skills are critical, as you'll work closely with clients to define challenges, present results clearly, and co-develop solutions. If you have Plasma experience in other industries, we'd still love to hear from you! In this role, you will work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the plasma-related engineering challenges we are solving. You will play a crucial role in delivering high-fidelity simulations by: • Building and owning computational plasma models for semiconductor manufacturing processes, including plasma etching, CVD/ALD deposition, and ion-driven surface interactions., • Working directly with semiconductor customers – often on-site – to scope engineering challenges, design modeling strategies, and present results in a way that drives real process decisions., • Selecting and applying the right simulation tools and fidelity level for each problem (e.g., COMSOL, HPEM, VizGlow, CFD-ACE+), and validating outputs against experimental or industrial process data., • Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI‑powered workflows., • Operating independently on open‑ended, highly specialised problems – scoping, executing, and delivering with minimal oversight., • Having 3–5 years of industry experience (post‑PhD), ideally within or directly supporting the semiconductor manufacturing industry., • Proficiency in Python (or similar) for workflow automation, data handling, and integration with simulation tools., • Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success., • Traveling globally (North America, Europe, Asia, Oceania) for an average of 3-4 weeks per quarter to work side‑by‑side with customers in building solutions on‑site. As the role evolves, there are opportunities for growth as an individual contributor or technical lead, especially if you want to own increasingly complex semiconductor plasma projects and help guide the direction of future solutions. We operate on a hybrid model, with around three days per week based in our Shoreditch office. Turn AI models into practical solutions – read our blog to learn more about how you'll contribute to this exciting journey! • Equity options – share meaningfully in the company you’re helping to build., • 10% employer pension contribution – because investing in future matters., • Free office lunches – to keep you energized and focused., • Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most., • YellowNest nursery scheme – to help working parents manage childcare costs., • 25 days of Annual Leave (+ Public Holidays) – because taking time to rest matters., • Private medical insurance – 100% employee cover, giving you complete peace of mind., • Wellhub Subscription – gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing., • Eye tests – because good work depends on good health., • Personal development – dedicated support for learning, development, and leveling up over time., • Employee Assistance Programme (EAP) – confidential wellbeing support, available whenever you need it., • Bike2Work scheme and Season ticket loan – to make getting to work easier and greener., • Octopus EV salary sacrifice – for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process. Interested in building your career at Anthropic? Get future opportunities sent straight to your email. #J-18808-Ljbffr

Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. Our global asset management business provides our clients and partners with complex, responsible investment solutions, working internationally across public and private markets. We are one of Europe’s largest asset managers and a major global investor across public and private markets. Asset Management is a critical driver of our Group strategy. The business aims to work synergistically with our Institutional Retirement and Retail divisions tobenefitour clients and customers, and deliver enhanced shareholder returns. Our investment philosophy and processes are focused on creating value over the long term. We believe that incorporating financially material sustainability criteria, when relevant to our clients, can create value and drive positive change. We’re currently look to hire a Systematic Index Strategist to join L&G Asset Management, The Systematic Solutions team develops and manages systematic investment strategies across equities and fixed income. The role holder will be responsible for maintaining and enhancing the team's research infrastructure, including ownership of the team's PostgreSQL database, Github repositories, data ingestion processes and common analytical frameworks. The role will work closely with investment researchers to develop, maintain and productionise analytical tools and research code, improving the efficiency, robustness and governance of the team's investment process. Working alongside the wider Technology & Analytics function, the role will act as a bridge between investment research and technology, supporting the team's data, modelling and automation capabilities. In addition to infrastructure responsibilities, the role will contribute to the research, testing and implementation of systematic investment strategies across equity and fixed income markets. The role is well suited to an individual with strong quantitative development skills and an interest in moving towards investment research and strategy design over time. • Maintaining and enhancing the team's PostgreSQL database and research infrastructure to support investment and research activities, • Developing and supporting data ingestion, validation and monitoring processes across a range of internal and external data sources, • Managing GitHub repositories and promoting development best practice, including version control, documentation and code governance, • Refactoring and productionising research code into scalable and reusable analytical frameworks, • Building and maintaining Python libraries, utilities and automated workflows that support investment research and portfolio analysis, • Collaborating with Technology & Analytics teams to enhance data processes, tooling and development standards, • Supporting the research, testing and implementation of systematic investment strategies across equity and fixed income markets, • Performing quantitative analysis and backtesting using market, factor, fundamental and ESG datasets to support investment decision making, • Strong Python programming skills and experience working with large datasets and analytical frameworks, • Experience with SQL and database management, ideally PostgreSQL, • Good understanding of software development principles, version control and collaborative development practices, • Experience developing data pipelines, automation workflows or research infrastructure within an investment, research or technology environment, • Knowledge of quantitative research techniques, financial modelling or systematic investing concepts, • A degree in a quantitative discipline such as Mathematics, Physics, Engineering, Econometrics or Financial Economics, • A strong intellect with sufficient technical and investment knowledge to be able to win the confidence of stakeholders and various investment teams, • An interest in systematic investing and a desire to develop towards investment research and strategy design over time, • The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes, • Generous pension contribution, • Life assurance, • Healthcare Plan (permanent employees only), • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday, • Competitive family leave, • Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only), • There are many discounts we offer – both for our own products and at a range of high street stores and online, • We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time and job shares.Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose. #J-18808-Ljbffr

Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir's operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you'll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer's reality until the problem is theirs. This requires walking many miles in a customer's shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is "How do we predict and mitigate wildfire risks across a power grid?" or "How can we analyze and adapt a global supply chain to deliver critical parts on time?" You'll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. To solve mission-critical problems by deploying software and AI into the high stakes operations of the world's leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: • Collaborate with engineers to make architecture and design decisions, • Wrestle with data at a scale that breaks assumptions and demands invention, • Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality, • Own relationships with stakeholders from the users in the weeds to the executives making the calls As a New Grad, you will be entrusted with responsibility on day 1. You will not be handed a ticket queue. You will not be shielded from the customer, the chaos, or the consequences. FDEs are entrusted with real ownership, operating with real autonomy, and held to a real standard, no matter their tenure. • Going where you're needed most - Embed where and when it matters. Expect 25-50% travel, depending on team and location., • Agency - You learn continuously, make decisions with incomplete information, and don't wait to be told what to do next., • Embracing the ambiguity - You operate effectively in teams that mix technical and non-technical people, in environments where the objectives shift, the users push back, and the solution demands iteration., • Intrinsic motivations - You solve hard technical problems (data structures, storage systems, cloud infrastructure, front-end frameworks) not because you were assigned to, but because that's what it takes to achieve your outcomes., • Ruthless goal orientation - You do not operate within a product's existing boundaries and limitations. You push past them, rewrite them, or discard them entirely., • Engineering degree, preferred in fields such as Computer Science, Electrical and Computer Engineering, Mathematics, Software Engineering, Physics, and Data Science., • Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar., • Must be graduating in 2027 or before. In an effort to build more transparency into our recruitment process, we'd like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. #J-18808-Ljbffr

Octopus is a rapidly growing, global energy business. • Grid assessment: Map, analyze and model grids across various markets. Analyze and provide insights to inform capex strategy, prioritising non-wire solutions., • Techno-economic and electrical power flow modeling to define optimal mix of resources against specific objectives (grid constraints, peak profile, LOLE, LCOE etc.), • Technical assessment of solutions for grid quality and stability issues, with a focus on non-wire solutions (flexibility and BESS)., • Grid development plans: support the team in reviewing and designing grid investment plans or Integrated Resource Plans, for technical sign-off., • Interconnection: Analyse grid constraints and provide insights on grid connection queues., • Interest in expanding into commercial modelling, • Strong background in energy systems. Or an educational background in electrical engineering or power system modelling, • Advanced power flow modelling expertise (PSCAD, PSSE, PowerFactory, PandaPower) and knowledge of non-linear optimisation. Ability to run or develop deterministic physics based grid modelling tools., • Knowledge of linear, economic modelling, e.g. plexos, is a plus., • Experience with DERs, medium and high voltage grids and utility-scale energy projects., • Deep understanding of energy economics and grid infrastructure principles, enjoys generating insights from large and complex sets of energy data and metrics., • Enjoys starting things from scratch, pro-actively look (and find) data, and iterating quickly, • Natural curiosity and passion for all things grid and the energy transition, • Inquisitive and seek to really understand the question – on top of your technical skills you seek to understand the true requirements of a problem and approach the answers with a business and user mindset., • Excellent technical communicator – you are not only a talented individual contributor but you also enjoy and excel at presenting your results to a non‑technical audience as a clear narrative., • Favour simplicity – you prefer to use simple, reliable tools over complex frameworks or approaches., • Collaborative – you’ll be taking inputs from and providing outputs to many teams around the group., • Proactive – much of work will be unguided as you develop the tools and capabilities to answer businesses questions., • Python as our main programming language., • Databricks as our data lake platform., • Kubernetes for data services and task orchestration., • Terraform for infrastructure., • Streamlit for data applications., • Airflow purely for job scheduling and tracking., • Circle CI for continuous deployment., • Parquet and Delta file formats on S3 for data lake storage., • Spark for data processing., • DBT for data modelling., • SparkSQL for analytics. #J-18808-Ljbffr

We are seeking an experienced Data Science consultant to join our Digital & Data team. The role involves advanced analytics and machine learning to support data‑centric decision making in public and private sector organisations. • Work to agile best practices and collaborate cross‑functionally with multiple teams and stakeholders, applying technical skills to problem solve with clients and internal projects., • Conduct whiteboard sessions and use asynchronous communication on Teams., • Work on client sites or in our office, with hybrid work plan of at least two days per week., • Use tools such as Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high‑performance applications. Essential requirements • A degree, Masters or PhD in data science, mathematics, operational research, physics, or statistics., • Experience conducting analysis for evidence‑based decision making, designing and developing models and supporting data‑centric decision making., • Experience translating business needs into analytical approaches and communicating findings to technical and non‑technical audiences., • Experience across the full analytics and modelling lifecycle – problem formulation, exploratory data analysis, model design, build, testing and handover., • Experience with Python, SQL, Excel and data visualisation tools., • Experience leading and delivering solutions covering advanced analytics, algorithm design, operational research models, data engineering, big data/cloud platforms, or visualisation/dashboards., • Problem‑solving mindset and strong curiosity. Nice to have • Excellent stakeholder, project management and communication skills; consulting and advisory experience., • Experience managing analytical solutions through product development lifecycle., • Experience developing data and behavioural science propositions for client presentations. Some UK roles require a UK security clearance. All employees must undergo background checks and meet residency requirements (British citizen or 5 years continuous residency in the UK). • Quick call with a Tech Recruiter to discuss the role., • Round 1 – competency or technical interview (60 min)., • Round 2 – competency or technical interview (60 min)., • Final round – meeting with a PA leader, a mini case study and discussion around client‑centricity (60 min)., • Private healthcare for you and your family., • 25 days annual leave (plus a half day on Christmas Eve) and option to buy 5 additional days., • Generous company pension scheme., • Community and charity engagement opportunities., • Annual performance‑based bonus., • PA share ownership., • Tax‑efficient benefits (cycle‑to‑work, give‑as‑you‑earn). We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity, political belief, veteran status, or any other identity factor. We welcome applications from under‑represented groups. #J-18808-Ljbffr

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here. • As at 30 June 2026 Join our Streaming Data team, part of our Data Platform Engineering organisation at the heart of a quantitative investment firm, powering the market data infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. As a Senior Python Engineer, you’ll help architect our multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more. This is an opportunity to tackle complex distributed systems challenges at exceptional scale. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team. • Build and ship features on a high-throughput streaming platform processing billions of market data points daily, • Tackle hard distributed systems problems at a scale few engineers encounter, • Work closely with quant researchers and traders to turn complex requirements into elegant platform solutions, • Drive platform reliability through rigorous incident response, root-cause analysis, and systemic fixes, • Raise the engineering bar through thoughtful code review and mentoring of junior team members, • 5+ years of professional experience in software engineering with Java or Python as your primary language, • Proficient on Linux platforms and strong understanding of Git, • Deep knowledge of one or more relevant database technologies such as Iceberg, PostgreSQL, or MongoDB, • Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow, • Strong problem-solving skills and attention to detail, • Strong communication and collaboration abilities, • Ability to work independently and gather requirements from stakeholders, • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics, • Familiarity with distributed systems and orchestration, • Experience with performance optimization and large-scale data processing, • Contributions to open-source projects, • Experience with market data, • Expertise in streaming or real-time data processing You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. #J-18808-Ljbffr

• We are building a European team of quantum computing enthusiasts dedicated to promoting PASQAL technology and raising market awareness of the power of neutral-atom quantum computing, • As Senior Regional Sales, UK, you will drive the entire sales process, from strategy to deal closing, while overseeing commercial and sales engineering operations across the United Kingdom, • You will define and deploy B2B strategies and deliver value to our current and future strategic clients in the region. You will be responsible for managing key accounts and driving revenue growth across the UK market, • Working closely with our global sales team, you will actively contribute to PASQAL’s mission: unlocking the potential of quantum computing and enabling end users to accelerate their applications, • Achieve and exceed annual sales targets across your assigned UK territory and accounts, • Develop and implement B2B sales strategies and strategic growth plans for the UK, particularly with strategic clients in the region, • Build and maintain long-term relationships with existing and prospective clients across the United Kingdom. Develop initiatives to strengthen these relationships and grow their annual consumption of PASQAL products and services, • Communicate our unique value proposition to both technical and non-technical audiences, • Participate in the full end-to-end sales cycle across the assigned territory, • Prospect and engage new potential clients from targeted industry sectors across the UK through events, conferences, emails, phone calls, and video conferences, • Participate in and speak at relevant industry events to promote PASQAL products and services, including managing the PASQAL booth at conferences, • Define and communicate sales objectives, and provide regular progress reporting to leadership, • Collaborate closely with the wider sales team (VP Sales EMEA, content marketing, product/go-to-market marketing, content management, and Business Development Managers from other regions), as well as with PASQAL’s R&D teams, • Work with the marketing team to create and update marketing materials tailored to the UK market, • Stay continuously informed on new products/services as well as new pricing and payment offerings, • Report commercial results (weekly / monthly / quarterly) to the VP Sales EMEA, • This list of tasks is not exhaustive, • Flexible schedules to support work/life balance, • A dynamic, close-knit international team of co-workers, • An impactful role in a growing scale-up that is leading in the Neutral Atom Quantum Computing space, • An inclusive, supportive work environment that encourages career growth, • Competitive benefit packages, • Regular outings to support team work, • Free time to learn and attend conferences/meetups, • Publishing and research encouraged with bonuses for new patents rewarded, • Lots of time off to enjoy the things you love outside of work, • Employment Terms : Full time, Direct hire, Hybrid Experience with CRM tools (Salesforce or equivalent)Experience in a startup environment5+ years of experience in sales / business development in one of the following fields: HPC, AI, or QuantumProven track record of direct engagement with external clientsProven experience managing the full, end-to-end sales cycle and selling complex solutions to large enterprise clients, with a strong ability to persuade using solid, tailored argumentsStrong knowledge of quantum computing or a related field (physics, engineering, computer science, quantum machine learning, etc.)Experience preparing and negotiating commercial contracts, in compliance with applicable legal frameworks and regulations across relevant UK jurisdictionsExcellent negotiation, listening, and communication skillsAbility and willingness to take on multiple responsibilities in a fast-paced, dynamic, ever-changing startup environmentEnglish: flawless professional fluency required (written and spoken)Willingness to travel regularly across the United KingdomMaster’s degree in a relevant field (Bachelor degree or MBA, MSc, etc.)Excellent knowledge of the UK market and the quantum computing industry is essentialAbility to communicate, present, and influence at all levels of an organization, including executives and C-level stakeholders, and to build strong, lasting relationships that support future salesAutonomous profile, service-oriented leadership (“servant leadership”), team spirit, ambitious and creative #J-18808-Ljbffr

Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. They're extending their platform into new areas of pharmaceutical development and are looking for hands-on preclinical R&D experts across drug modalities to help guide what they build. Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic - and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models. • Review technical materials and real-world R&D data in your area of expertise, • Label, classify, and annotate scientific data and model outputs to improve model performance, • Provide expert perspective on key scientific and development decisions (target/modality selection, optimization, trade-offs, risk), • Help define structure and quality standards for the client's dataset pipeline, • Participate in expert discussions, interviews, and research engagements, • Have hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets in-house and has taken programs to the clinic - Must Have, • Work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation - Must Have, • Have hands-on experience with one or more drug modalities (small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, radioligand therapies, etc.) - Must Have, • Have 5+ years of relevant industry R&D experience (flexible based on depth), • Have taken a program through lead optimization or IND-enabling/preclinical development (nice to have), • Have experience at mid-sized, emerging, or resource-constrained biotech - ideally currently outside the top-20 pharmaceutical companies (nice to have) This is a hands-on preclinical R&D role - likely not the right fit if your work is mainly CRO/CDMO services, academic-only, QC/analytical-only, clinical-development-only, diagnostics, or regulatory/medical-writing. Your work will directly feed into the models reshaping how medicines are discovered, helping intelligent systems reason about real-world pharmaceutical R&D. • You will interface directly with the client team., • This is an ongoing, part-time engagement of roughly 10 hours per week., • Seniority welcome from individual contributor through Director. #J-18808-Ljbffr

(Sound advice. Technical expertise. Creating better environments — by design.) It's about understanding how people experience spaces, how developments interact with their surroundings, and how technical expertise can help projects move forward with confidence. Senior Acoustic Consultant (Sound advice. Technical expertise. Creating better environments — by design.) It's about understanding how people experience spaces, how developments interact with their surroundings, and how technical expertise can help projects move forward with confidence. At Lucion Delta-Simons, our acoustic consultants help shape residential, commercial, industrial, infrastructure, and energy projects across the UK. From planning support to detailed acoustic design, we provide clear, practical advice that helps clients navigate complex challenges and deliver successful developments. We're now looking for a Senior Acoustic Consultant to join our multidisciplinary environmental consultancy team. This role is suited to someone who enjoys combining technical excellence with client-facing consultancy and takes pride in delivering work that stands up to scrutiny. This is a varied consultancy role where technical knowledge, communication skills, and sound judgement are essential. • Manage and deliver environmental noise and vibration assessments, • Undertake building acoustics assessments and advise on acoustic design solutions, • Conduct noise monitoring surveys and analyse acoustic data, • Prepare high-quality technical reports in line with UK standards and guidance, • Undertake acoustic modelling using industry-standard software, • Support planning applications through detailed noise and vibration assessments, • Liaise directly with clients, architects, planners, local authorities, and project stakeholders, • Manage project budgets, resources, and programme delivery, • Mentor and support junior consultants and graduates, • Contribute to business development activities and maintain strong client relationships In short: delivering trusted acoustic advice that helps clients make informed decisions and create better places to live, work, and operate. You understand that effective acoustic consultancy balances technical accuracy, commercial awareness, and real-world application. • Hold a degree in Acoustics, Physics, Engineering, Environmental Science, or a related discipline, • Be a Member of the Institute of Acoustics (MIOA), or working towards Chartered status, • Have proven experience within environmental and/or building acoustics consultancy, • Have a strong understanding of UK guidance and standards, including BS 4142, BS 8233, and ProPG, • Be experienced using acoustic modelling software such as CadnaA or SoundPLAN, • Produce clear, concise, and technically robust reports, • Be confident managing multiple projects and competing deadlines, • Communicate effectively with clients, colleagues, and stakeholders, • Hold a full UK driving licence, • Experience undertaking BREEAM acoustic assessments, • Sound insulation testing experience, • Knowledge of vibration assessments and monitoring, • Project management or team leadership experience, • Commercial awareness and business development experience You're organised, technically capable, and trusted to provide clear advice when it matters most. We Look After Our People So They Can Focus On Delivering Quality Work. Alongside a Supportive, Professional Environment, You'll Benefit From • Competitive salary of up to £43,000 per annum, • Hybrid and flexible working arrangements, • Professional membership support and training, • Clear career development opportunities within a growing consultancy, • Pension scheme and annual leave entitlement, • Employee wellbeing initiatives and support programmes, • A collaborative team that values expertise, professionalism, and continuous improvement Because good consultancy starts with good listening. Because technical excellence is about more than compliance — it's about helping clients make better decisions. And because you want your expertise to make a measurable difference to real projects and real environments. If you're a Senior Acoustic Consultant looking for a role where your knowledge is valued, your judgement is trusted, and your work genuinely shapes outcomes — we'd love to hear from you. As part of our commitment to safety, trust, and doing things properly, the successful candidate will be required to complete a DBS check before joining the business. Lucion Delta-Simons. Purpose-led. People-focused. Getting it right — every project, every time. #J-18808-Ljbffr

Due to internal growth and continued success, we are looking to further develop our London office team. Opportunities have arisen for an acoustic consultant with up to five years experience, to work alongside colleagues servicing existing client needs in London and surrounding areas. The right candidates will have the opportunity to work on a wide range of exciting and fulfilling projects in all sectors including residential, commercial, hotels, education, enternatinment, airports, industrial, energy, infrastructure and more. We are looking for outgoing candidates who want to be an integral part of our growing company, going beyond the acoustic engineering tasks and delivering excellence on a daily basis. Candidate requirements: • Relevant acoustics, physics or audio related degree (or IoA diploma), • 2 to 5 years experience in acoustics, • Full UK (or European equivalent) driving licence, • Excellent communication, MS Office and written skills, • Experience with air quality assessments and IAQM membership is advantageous but not required to apply Attitude is key and for an ambitioius candidate who wants to be integral in driving our company forward, we can offer an unmatched opportunity to grow with us. Our staff being our best asset, we strive to offer an enjoyable and flexible working environment. We offer an extremely competitive salary based on experience and capability, a generous bonus scheme, company pension and hybrid working. #J-18808-Ljbffr

Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people’s lives. Our capabilities include programme, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. Majority‑owned by CBRE Group, Inc., we provide a premier programme, project and cost management offering worldwide. Our 24‑month Graduate Development Programme (GDP) provides a learning environment to help you become a well‑rounded consultant and launch your career. From day one you’ll build networks, deepen industry knowledge and receive a structured development plan tailored to technical and commercial competencies. A dedicated Graduate Development Manager will guide and support you. • Investigate and diagnose façade issues through detailed inspections., • Contribute to effective maintenance and replacement strategies., • Advise on design and performance metrics., • Guide clients on compliance, risk management and achieving environmental standards, maximizing value., • Academic credentials: degree in Architectural Technology, Architectural Engineering, Building Physics, Civil Engineering, Mechanical Engineering, Structural Engineering (2:1 minimum or on track) or an MSc in Façade Engineering., • Technical acumen: understanding of building surveying and genuine interest in real‑estate and built environment., • 25 days annual leave, • Buy and Sell annual leave, • Corporate gym membership, • Cycle scheme, • Pension In some regional roles, the ability to drive may be necessary due to the location of client offices. For Defence arena roles you will need to pass a Baseline Personnel Security Standard check and UKSV SC clearance. SOX control responsibilities may be part of this role where applicable. #J-18808-Ljbffr

TechOhana has partnered with a specialist CRM implementation consultancy, working extensively across the not-for-profit sector, to appoint an iMIS Consultant. This is an opportunity to work across a varied portfolio of client engagements, from large-scale platform implementations to smaller, ongoing support projects, delivering configurations tailored to each client's needs. You will configure and implement CRM solutions for not-for-profit clients, both independently and as part of a wider technical team. The role involves meeting clients to understand their requirements, translating these into a technical solution, and training clients on what has been built. • Experience working in a consultancy or similarly client-facing role, • A demonstrated ability to gather requirements and translate them into a technical solution, • A solid understanding of relational databases or CRM systems, • Must have a Consultative background, • A background in Computer Science, Engineering, Maths, Physics, or a related field, • Prior experience with iMIS specifically, • Experience working with or within not-for-profit organisations, • Salary dependent on experience, • Permanent position, 37.5 hours per week, with flexible working hours, • Hybrid working: primarily remote, with one day per week in the London office, • A generous holiday allowance, strong pension contributions, and wellbeing benefits This is an urgent role actively interviewing with a quick turn around. #J-18808-Ljbffr