466 jobs found in Oxford

FAI Farms in the United Kingdom is seeking a Junior Data Scientist to join their growing analytics team. The role offers the chance to work with experienced professionals to derive insights that enhance animal supply chains. You will engage with diverse datasets to conduct exploratory data analysis, create visualizations, and build predictive models. Candidates should have a quantitative degree, proficiency in data science tools, and problem-solving abilities. The position is full-time and includes robust benefits.

Sophos Group in Oxford is looking for a Content Marketing Leader to drive the global content strategy and manage a dispersed content team. This role is crucial in shaping the narrative that supports revenue growth and product adoption, while leveraging AI to transform content delivery. You will oversee all content creation, ensuring quality and alignment with strategic objectives, as well as fostering collaboration across departments. A strong background in cybersecurity and excellent communication skills are essential.

A leading multinational engineering company is looking for an Apprentice Engineer based in Oxford. The role includes practical, hands-on training while studying for a Level 3 apprenticeship in Lift Truck & Powered Access Engineering. You will learn to maintain and repair various material handling equipment and receive full support from experienced mentors. Ideal candidates will demonstrate a passion for engineering, possess good verbal skills, and ideally have GCSEs in Maths and English. This role offers a competitive apprenticeship salary and various employee benefits.

Apprentice Engineer page is loaded Apprentice Engineerlocations: Oxford, United Kingdomtime type: Full timeposted on: Publicado hoyjob requisition id: JR-Every year Linde Material Handling recruits a number of apprentices across the UK. During this programme you will receive specific hands-on experience, whilst studying for a nationally recognised qualification. Linde Material Handling & The KION Group The KION Group, HQ in Germany, is a global business and one of the world's leading manufacturer of forklift trucks, warehouse and material handling equipment and automation solutions. The Group has approximately 41,000 employees, based in around 100 countries. Linde Material Handling is one of KION's leading brands and operates in the UK and other countries.# Ofrecemos: Apprenticeships allow individuals to learn a new role through practical, on-the-job training, combined with study for a formal qualification. Apprentices are paid a wage and on completion of the apprenticeship can gain a professional qualification and often a permanent role. Practical on-the-job training Study for a nationally recognised qualification Earn a wage Be supported by experienced team members and mentors Our Apprenticeship Programme The Linde Material Handling (MH) Engineering Apprenticeship Programme helps the business grow our own best-in-class engineers to support our demand for field, workshop, and site-based engineers to meet our customers' needs. The main purpose of the role is to learn how to become a fully competent Linde engineer by applying learning from college, and demonstrating this knowledge to your mentors, Apprentice Development Officer, and your college assessors to meet the needs of our customers so that we can provide them with the right materials handling solutions.Linde Material Handling is currently looking for an enthusiastic Apprentice Engineer to be Field based in the Oxford postcode area. You need to be passionate about engineering, keen to learn, be motivated to achieve success and want to join a multinational engineering company and be part of the next generation of engineers to start their career.You will need to commit to a three-year training and development programme, before you become a fully qualified Service Engineer and be awarded an Level 3 apprenticeship in Lift Truck & Powered Access Engineering , but you will be supported throughout this time by a dedicated Mentor who will help you develop your skills, and an Apprentice Development Officer (ADO) who will monitor all of your training through a combination of college training and on-the-job training. During the programme, you will learn to inspect, maintain, service and repair all types of material handling equipment including forklift trucks and warehouse equipmentDuring your apprenticeship, you will be expected to travel to college, and stay overnight for blocks of learning time (location and details of time away from home will be confirmed at the point of offer). Travel to and from college with be funded, as will accommodation and meals.Upon successful completion of your apprenticeship, you will be a fully qualified Linde engineer and be able to start your career with a market leader. Your duties and responsibilities during your apprenticeship include: Attending all required training courses (internal & external). Passing all knowledge block training tests at college. Passing End Point Assessment for Level 3 in Lift Truck & Powered Access Engineering. Passing all internal assessments showcasing general knowledge of safety, product knowledge and use of diagnostic equipment. Passing all online tests and end point assessments to deadline within two resits. Completing your e-Portfolio on time & to the expected standards agreed by the college & ADO. Working closely with the training organisation to achieve your qualification. Working at becoming competent at carrying out preventative maintenance, repairs, and the use of diagnostics on a wide range of the Linde product.# Responsabilidades y Requisitos: To succeed in the apprenticeship programme, you need to have a passion for engineering and be motivated and committed to demonstrating a willingness to learn.Being an engineer with Linde Material Handling will require you to engage with customers and colleagues on a daily basis, so you will need to have good verbal and listening skills, as well as coming across in a confident manner, with a positive and 'can do' attitude. We are looking for you to demonstrate that you take pride in your work, and complete tasks to the highest standard, whilst showing flexibility to adapt to the changing needs of the role. We hope that you will show the desire to be a Linde brand ambassador.To be considered for our Apprenticeship you will: Ideally you would need to have a GCSE Grade 4 or above in Maths and English (predicted grades if undertaking GCSE's) or a National 5 in Scotland. Need to have an interest in engineering and technology Essential to have a Full UK Driver's LicenceSalary - in line with the Government Apprentice rate of pay. Enhanced rate offered to Apprentices aged 16-17 years40 hour working weekOvertime opportunities for apprentices aged 18 and over25 days annual leaveOption to join company pension schemeDiscount scheme, with access to deals from some of the UK's largest brandsWorld class Linde specialised product trainingFull range of uniform and PPE suppliedStarter toolbox and set of tools providedFull forklift driver licence trainingPlease see our website for further information on our Apprentice Programme:

The College Lincoln College is a medium-sized College housed in attractive medieval buildings in the centre of the city, on Turl Street. The College has 50 Fellows, around 600 students, equally divided between graduates and undergraduates, and a large body of administrative and domestic staff. Further information may be found on the College s website: . The Role We are seeking an experienced and proactive IT Operations and Network Engineer to join our small IT team and provide hands-on support across the College s IT estate. Working closely with the Head of IT, the postholder will play a key role in the day-to-day operation, support and continued development of the College s IT services. This is a broad, hands-on role requiring someone who is comfortable responding to everyday IT operational issues, while also bringing strong technical experience in network infrastructure, including firewalls, switches and associated network equipment. Duties IT Operations: Maintain college server and desktop infrastructure. Update local Active Directory user and device accounts. First and Second line user support for: SharePoint, College website, Raisers Edge NeXT, CCTV, door entry systems and other college IT systems as required. Provide assistance with hardware support and installation. React promptly to major incidents involving IT Infrastructure, working to resolve issues effectively. Present a professional, helpful, and approachable demeanour when dealing with external and internal stakeholders. As part of the IT Team, maintain clear notes and guides on the running of the college IT infrastructure. In the absence of the Head of IT, ensure the smooth running of the department and IT operations. Network Infrastructure: Plan improvements to the network to ensure that the network is able to support current and future demands placed on it. Managing the firewalls, including security rules, device updates, VPN, VLANs, and monitoring for intrusions. Monitor the performance of the various network assets. Ensure hardware is maintained and all switches are running latest software. Monitor and support local and University-wide WiFi connections. Installation and support of Wireless Access Points as required. In partnership with the Head of IT, construct and document disaster recovery procedures for the College s infrastructure and ensure those procedures are up to date. To periodically test disaster recovery procedures. Advise Head of IT on network strategy and propose future investment in IT solutions. To undertake any other duties, consistent with the purpose of the job, as may from time to time be assigned by the Head of IT. Essential Selection Criteria Experience delivering a high level of customer service. Strong problem-solving skills, with a track record of effective and innovative solutions to technical and non-technical issues. Ability to clearly communicate processes and procedures, both verbally and in writing. Ability to explain technical concepts in an accessible and supportive manner. Ability to work independently and collaboratively, managing tasks to meet deadlines under pressure. Effective time management with a reliable and punctual approach. Self-motivated with initiative and the ability to identify and resolve issues. Experience providing infrastructure or technical support Demonstrable knowledge of wired and wireless networking fundamentals, including DNS, DHCP, VLANs, and STP. Desirable Selection Criteria Experience with scripting or automation (e.g., PowerShell or Python) to streamline infrastructure management. A working knowledge of virtualization technologies such as Microsoft Hyper-V or VMware vSphere. Willingness to work occasional non-standard hours as required. Benefits 30 days Holiday including bank holidays, (pro rata) in each year on the basis of one week over festive period in December and the remainder to be taken at such time or times as shall be mutually convenient, and agreed in advance with the Head of IT. Enrolment in the Oxford Staff Pension Scheme (OSPS) Free lunch is provided in college, when on duty. Other benefits include; access to an Employee Assistance Programme, and various discounts through the Oxford University card. Application Process Candidates should submit the following documents by closing date of 5 th July 2026: A completed Application (available on the College website through Employment Hero) A covering letter (no more one A4 page) explaining your interest in the post and demonstrating how you meet the requirements of the person specification. An up-to-date CV. Recruitment monitoring information is collected for equality purposes only and does not form part of the selection process. Please note that any personal data submitted to the College as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation. For further information, please see the Lincoln College s Privacy Policy: Equality, Diver sity and Data Protection Lincoln College is committed to equality of opportunity and to providing a working environment in which all individuals are treated with dignity and respect. Equality of Opportunity Entry into employment with the University and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each particular post and the relevant salary structure. In all cases, ability to perform the job will be the primary consideration. No applicant or member of staff shall be discriminated against because of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Other Information The appointment will be conditional on verification of the successful candidate s availability for employment in the UK. The successful candidate will be required to complete a confidential medical questionnaire which will be forwarded to our Occupational Health Department who will assess their fitness to perform this role. Any enquiries related to these further particulars should be directed to Additional Application Instructions Closing Date: 5th July 2026

Are you the next Senior Systems Engineer to help build and shape the software behind our next generation laser processing platform? If so, Opsydia would love to hear from you as we expand into new markets and unlock new technical opportunities. Spun out from the University of Oxford in 2017, Opsydia is a specialist laser technology company harnessing decades of academic excellence and deep expertise in adaptive optics to enable the writing of features in transparent materials. Our writing technology has gone on to provide functionalities across scientific and industrial domains. Our platform enables the creation of functional devices in optical glass, diamond, and other transparent media, powering disruptive applications in datacoms, quantum technologies, and advanced sensing. THE ROLE As a Senior Systems Engineer, you will take full system-level ownership of Opsydia s next generation laser photonics products. This is a technical leadership role spanning architecture, integration, verification, and productization, ensuring that complex opto electro mechanical subsystems come together into robust, high performance solutions. You will lead the definition, design, and delivery of complete systems, balancing photonics, precision mechanics, automation, software, reliability engineering, and manufacturability. Working across early stage R&D, customer engagements, and product development, you will play a key role in shaping Opsydia s technical roadmap and maturing prototypes into deliverable, field ready products. Key Responsibilities End to End Systems Ownership o Lead system architecture from concept through requirements, detailed design, prototyping, verification, and release. o Develop system level specifications, performance budgets, and risk models across optical, mechanical, electrical, and software domains. o Define and drive processes for system integration, validation, and troubleshooting. Ultrafast Laser & Photonics Systems o Integrate and optimise femtosecond laser sources for high precision laser matter interaction applications. o Collaborate with laser manufacturers to define specifications, validate performance, and ensure long term stability and repeatability. o Manage system level trade offs involving beam delivery, adaptive optics, power stability, thermal management, and alignment tolerances. Precision Motion & Opto Mechanical Integration o Architect and integrate high precision motion systems (piezo, air bearing, linear motor) with sub micron or nanometre level stability. o Oversee opto mechanical design for robustness in industrial environments, ensuring vibration control, thermal stability, and reliability. o Work closely with the Software Team to achieve coordinated laser stage performance. System Integration & Verification o Combine lasers, adaptive optics, motion control, electronics, and machine vision into fully functional, production ready systems. o Use optical modelling and simulation tools to optimise performance and minimise error sources. o Develop verification plans, test procedures, and system level fault analysis frameworks. Automation, Control & Safety o Define system level control methodologies and sequencing alongside the Software Team. o Ensure full compliance with international laser safety standards and implement appropriate interlocks, monitoring, and diagnostic features. o Contribute to automation and workflow design that enhances stability, repeatability, and throughput. ABOUT YOU You will have a deep technical background with extensive of experience in photonics, laser systems, or precision instrumentation, ideally holding an advanced degree (Ph.D. or Master s) in Physics, Optical Engineering, or a related field. You take full accountability for delivering complex projects from concept to deployment, ensuring technical excellence and timely execution within a collaborative team environment You will be able to demonstrate the following: Expertise in ultrafast laser applications, including femtosecond systems and adaptive optics. Proven experience developing and integrating precision motion-controlled stages for high-accuracy processes. Strong background in photonics-based applications, from fibre coupling to photonic integrated circuits. Ability to architect and optimise complex optical systems, including adaptive optics and machine vision elements. A proactive, solution-oriented approach to technical challenges. Exceptional organisational, documentation, and communication skills for cross-functional collaboration. For this senior role, we expect applicants with significant experience in metrology, optics, and control systems, ideally with exposure to industrial-grade system integration and supplier engagement. You might also have: Practical knowledge of adaptive optics for beam shaping and correction. Expertise in waveguide fabrication or optical fibre performance characterization. Familiarity with mechanical design and optical simulation tools. Proven ability to configure and optimize precision motion control systems (piezo, air-bearing, interferometric feedback). Competence in automation and scripting for system control (Python, MATLAB, LabVIEW). Experience with advanced microscopy and analytical techniques. Track record of developing products and producing documentation for regulatory compliance. Understanding of intellectual property development and technology protection strategies. Previous involvement in project planning, risk assessment, and technical reporting. If you don't meet all of the criteria above, but are interested in the role, please apply or get in touch to discuss further. The role is advertised as full-time. We are pleased to accommodate flexible and hybrid working where appropriate but, as a hardware company, we find hands-on system and collaboration time to be highly valuable, so encourage time spent in the office and expect this when required. As part of the recruitment process a selected candidate will be required to undergo security screening to BPSS standard. Closing date: Friday 10th July 2026. Applications will be reviewed as received so this vacancy may be closed earlier; early applications are therefore encouraged. WHAT WE OFFER YOU Salary range: £54,000-£58,000 dependant on experience. Benefits Hybrid & flexible working arrangements Share option scheme Annual bonus scheme Private Medical Insurance Group Income Protection and Life Assurance Enhanced family leave Company matched pension contributions up to 5%. Salary sacrifice arrangement is available 25 days paid leave plus bank holidays Cycle to Work Scheme Mental Health and Wellbeing support and activities Supported further study or training for your professional and personal development Volunteering opportunities EQUAL OPPORTUNITIES We are an equal opportunities employer and commit to encouraging equality, diversity and inclusion in the workplace whilst creating an environment which promotes dignity and respect for all. We post our job descriptions across a wide range of recruitment platforms to enable us to garner the most diverse range of candidates we possibly can. ADJUSTMENTS AND PROVISIONS We are dedicated to putting in place any reasonable adjustments that may be required to meet the needs of those who wish to apply for a position at Opsydia. Please share if you have a declared disability, for example but not limited to: a social communication impairment such as autism spectrum disorder, a specific learning difficulty such as dyslexia, dyspraxia or ADHD; a mental health condition, a sensory impairment affecting sight or hearing or a physical or mobility impairment. ALTERNATIVE FORMATS We can provide our job descriptions in an alternative format of video or audio description ABOUT OPSYDIA Opsydia provides commercial systems based on adaptive optics which can directly generate photonic structures in a variety of transparent materials. Learn more at The company is based in the Centre for Innovation & Enterprise at Begbroke Science Park north of Oxford. Begbroke offers comprehensive facilities on-site including a restaurant, coffee shop, free parking and a minibus service between the park and Oxford. Your data will be held in line with our recruitment privacy policy available at

Corehr is looking for a full-time IT Systems Developer at Oxford Population Health for a fixed-term of 2 years. The role involves designing, developing, and supporting IT systems crucial for the laboratory's accreditation to ISO 17025:2017. The successful candidate will have a good degree or a recognised computing qualification and must be proficient in C++ or Java, with good SQL knowledge. This is a great opportunity to contribute to vital research in public health.

Stars Arena is a tech scale-up based in Oxford, seeking a Python Software Engineer to join the team. This role is full-time and offers an exciting opportunity for developers with a passion for technology. The ideal candidate will have over a year of commercial experience in Python development. The position offers a competitive compensation package ranging from £40K to £50K and is available for candidates looking to work remotely.

Cranleigh Scientific Ltd is looking for a Software Engineer - Advanced Materials & Manufacturing based in Oxford. This role offers an exciting opportunity to work on pioneering software solutions that enhance manufacturing processes and material performance. The ideal candidate should possess strong full-stack development skills, especially in C# and ASP.NET, and have a keen interest in applied engineering and materials science. The position includes a competitive salary of £45,000-£65,000 DOE, alongside excellent benefits.

Python Software Engineer - Oxford or Remote Remote worldwide An exciting tech scale-up based in Oxford is looking for Python Developers to join the team. The successful applicant would ideally have 1+ years commercial experience as a Python Developer. Compensation: £40K-50K Role type: Full time Visa sponsorship: Not provided

Pandemic Science Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Headington, Oxford, OX3 7LF We are seeking to appoint a Data Scientist to be a part of a dynamic team creating tools that enable researchers to rapidly capture, process and analyse clinical data during and between disease outbreaks. You will design, build and improve tools and methodologies for data collection and processing in collaboration with members of the ISARIC (International Severe Acute Respiratory and Emerging Infection Consortium) team and international partners. The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) was created in 2011 to change the paradigm of outbreak response by integrating patient centred research as a core component of public health response. It is a grassroots, investigator led federation of independent, hospital based clinical research networks with operations in 130 countries, undertaking research to characterise and find new treatments for emerging infections. As the Data Scientist, you will have a key role in applying statistical methods and machine learning techniques to generate robust, actionable evidence from complex health datasets and designing, developing, and maintaining scalable, reusable tools that enable efficient data analysis, interpretation, and evidence generation across different research settings, as well as supporting their use across international research institutions. The role includes designing, adjusting, and using complex data pipelines, as well as validating, documenting, and sharing them. You will identify issues with the tools' data, functionality, and documentation and make improvements where necessary. You will lead the analysis of clinical and epidemiological data to generate new evidence and work with an international team to improve the quality of data and evidence by defining better research methods, developing standard data models, and designing machine readable data. The post will suit someone with advanced data management, software engineering and analytical skills, who has excellent interpersonal skills. It is essential that you hold a Masters level degree in statistics, computing or another numerate/related subject. You must have significant experience in data analysis and proficiency in writing Python code for data import and manipulation. Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date. This position is offered full time on a fixed term contract for 24 months and is funded by the Gates Foundation. Only applications received before 12 midday on 15 June 2026 will be considered. Please quote 186555 on all correspondence. Salary (£): Standard Grade 7: £39,424 - £47,779 with a discretionary range to £51,983 p.a. (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).

Platform Software Engineer Department: Tech - Model & Platform Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Aurora helps governments, investors, and utilities make billion dollar decisions on the journey to net zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world. Aurora's models produce some of the most data-intensive outputs in the energy industry - half-hourly, generator-level simulations across 30-year horizons. As a Software Engineer in the platform team, you will build and own the scaling infrastructure that runs these models in the most efficient and cost-effective manner possible, using TypeScript, Python, MySQL and a variety of AWS products. You will work in a small, fast-paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player who values code review and collaboration, and who possesses a proven ability to take big projects from conception to production. We use AI coding tools to improve productivity and familiarity with modern AI-assisted development is important to us. Key Responsibilities Design, develop, test, and operate the resilient and high-availability infrastructure which runs Aurora's forecast models Build tools and platforms that empower engineers, modellers, and analysts across the business Contribute to continuously improving how our platform team works Skills, Knowledge and Expertise Required attributes At least two years professional Python or TypeScript experience in a commercial, team based software environment Experience building and maintaining infrastructure with cloud providers (e.g. AWS, Azure, or GCP) Strong discipline in testing and automation Desirable attributes Familiarity with hybrid cloud/on-premises environments, including Ansible playbooks for server configuration and patch management Genuine interest in the transformation of energy markets and infrastructure A relevant degree in a quantitative field such as Mathematics, Physics, Engineering, or Computer Science What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

Aurora Energy Research Limited in Oxford is looking for a Platform Software Engineer to develop cloud-based software for power grid modeling. The role involves designing high-availability infrastructure and requires expertise in Python and TypeScript. Join a dynamic team focused on innovation in energy markets, with great benefits including medical and dental insurance, flexible working hours, and local discounts. Candidates should have at least two years of relevant experience and enjoy working in a collaborative environment.

Voxelmaps is seeking a Senior Mapping & Localization Engineer in Oxford, UK, to enhance geospatial systems. This role focuses on improving map consistency across datasets using advanced techniques in SLAM, point cloud registration, and sensor fusion. The ideal candidate will possess strong C++ and Python skills, with at least 5 years of relevant experience. The position offers a hybrid work model with a competitive salary between £85,000 and £105,000 per year.

Senior Mapping Localization Engineer - Oxford, United Kingdom (Hybrid) Job Id: 422 # of Openings: 1 Voxelmaps builds spatial intelligence systems that transform large-scale sensor data into accurate, usable geospatial and mapping products. We are seeking a Senior Mapping & Localization Engineer to enhance and develop core algorithms and infrastructure for localization, sensor alignment, camera geometry, and spatial data integration workflows in Oxford, UK. This role focuses on improving map consistency and accuracy across large capture datasets by solving problems in SLAM loop closure, point cloud registration, sensor fusion, camera calibration, and coordinate system transformations. You will work at the intersection of robotics, photogrammetry, computer vision, and geospatial systems. Responsibilities Mapping & Localization Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources. Improve localization robustness across multi-session and multi-sensor capture systems. Point Cloud Registration & Alignment Improve point cloud registration pipelines for LiDAR and multi-modal datasets. Develop workflows for cross-session map alignment and map merging. Sensor Fusion & Spatial Integration Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references. Implement temporal synchronization and uncertainty-aware fusion methods. Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines. Coordinate Systems & Transformations Design and maintain coordinate transformation frameworks across different coordinate systems. Implement georeferencing and transformation validation workflows. Support spatial accuracy assessment and error analysis. Camera Systems & Optimization Maintain and optimize camera calibration and camera pose optimization pipelines. Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates. Qualifications BS / MS in Computer Science, Robotics, Geomatics, Photogrammetry, Mathematics, or related field. 5+ years of experience in robotics, mapping, computer vision, or geospatial systems. Strong background in SLAM, localization, sensor fusion, geometric optimization, and 3D reconstruction. Strong C++ and Python skills. Experience with numerical optimization and geometry libraries. Technical Experience SLAM / Optimization GTSAM Ceres Solver g2o Factor graph optimization Bundle adjustment Point Clouds / Registration PCL Open3D ICP / NDT registration LiDAR processing Computer Vision OpenCV Camera models Calibration methods Pose estimation SfM / photogrammetry Robotics ROS / ROS2 Sensor synchronization GNSS / IMU integration State estimation Geospatial Coordinate reference systems Geodesy PROJ GDAL Transformation pipelines Preferred Qualifications Experience with large-scale mapping systems or mobile mapping platforms. Experience processing city-scale LiDAR datasets. Understanding of uncertainty propagation and covariance modeling. Experience with multi-session localization and map fusion. Background in photogrammetry or visual-inertial systems. Publications or open-source contributions in SLAM, mapping, or calibration. Work Environment This role may be remote, hybrid, or office-based depending on the selected candidate location. Candidates must be comfortable collaborating across global teams and time zones. Job Details Timeline: Immediate hire Job Type: Full Time / Permanent (benefits required by law) Location: Oxford, UK Work Model: Remote, Hybrid, or Office-based depending on location Pay: £85,000 - £105,000 per year (based on experience) EEO Statement Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

慨正橡扯 in Oxford is seeking a Data Architect (Business Systems) to improve data management across business systems. The role involves ensuring data accuracy and establishing governance practices while collaborating with stakeholders from various departments. The ideal candidate will have experience in data, BI, or Business Systems roles, and enjoy problem-solving in a hands-on capacity. Join us to make a significant impact on data strategy for health and care services.

Ground Truth Labs Ltd. is seeking a Machine Learning Scientist to develop spatial biology biomarkers for blood cancer. In this role, you will implement deep-learning models and work collaboratively with engineers and clinical experts to create impactful solutions. This opportunity invites someone enthusiastic about AI and eager to make a significant difference in healthcare. The position emphasizes innovative contributions and authorship in research publications. Expect remote work with periodic travel to London and Oxford for team collaboration.

Lumai in Oxford is looking for a Senior Solutions Architect to lead technical customer engagements for their revolutionary optical compute platform. The role involves translating customer needs into tailored solutions, engaging with top industry clients, and collaborating with internal product teams. Candidates should have substantial experience in solutions architecture within AI infrastructure and a deep understanding of large language model deployments. The position offers competitive compensation and unique benefits including a share option scheme and a £500 annual development budget.

The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Software Inference Deployment Engineer to own the software-side integration and customer support of Lumai Iris servers in third-party data centre environments. You will begin by working alongside our software and engineering teams - helping integrate the Iris software stack, supporting model onboarding through the toolchain, and getting hands on with the disaggregated prefill/decode runtime. This is intentional: the best way to develop deep expertise in a novel platform is to build with it. As deployments go live, you will take ownership in the field - supporting customer integration into their inference stacks, troubleshooting software issues, and acting as a primary technical contact for customer ML and infrastructure engineering teams. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world. What You'll Do Work alongside Lumai's software and engineering teams to integrate, test, and harden the Iris software stack ahead of deployment Support model onboarding through the Iris toolchain - loading, conversion, and framework integration Develop hands on familiarity with the disaggregated prefill/decode runtime, including how Iris servers operate alongside decode processors Support customer integration of Lumai Iris into their own frameworks Own software side troubleshooting in the field, acting as the first line of response post deployment Train and enable customer ML and infrastructure engineering teams on the Iris software platform Feed field findings, integration issues, and customer feedback back into product and engineering What We're Looking For Must Have Hands on software engineering experience in AI infrastructure, inference serving, accelerator integration, or comparable deep tech hardware software environments Strong Python skills and familiarity with major ML frameworks (PyTorch in particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer facing role, able to communicate clearly with ML and infrastructure engineering teams Comfortable working in a fast moving, early stage environment where the product and the deployment approach are both still being developed Strong Preference For Experience integrating accelerator hardware (GPUs, FPGAs, ASICs, NPUs, or novel architectures) into customer inference workflows Familiarity with the NVIDIA inference stack - CUDA, TensorRT, Triton Exposure to disaggregated inference architectures, prefill/decode separation, or KV cache management Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.

Development and Data Assistant Application Deadline: 22 July 2026 Department: Development Office Employment Type: Fixed Term - Full Time Location: Central Oxford Reporting To: Frankie Burgess Compensation: £26,707 / year Description Magdalen College is seeking to recruit a recent graduate as a Development and Data Assistant to support the work of its Development Office and learn more about the varied elements involved in its successful running. This 12-month fixed-term training post is designed to provide the post-holder with practical experience of development work within a higher education environment, helping to prepare for future careers in development, data, alumni relations, fundraising or external relations. Training and networking opportunities will be provided and encouraged throughout the appointment. The Development and Data Assistant will play a vital and varied role in the team, supporting a wide range of activities, but with a particular focus on the varied elements involved in its successful gift administration, data processing and events. The position requires a highly organised, data driven individual with keen attention to detail, high levels of accuracy, excellent administrative, IT, data and numerical skills. This is a full-time Office based position. Occasionally the post-holder may be expected to attend events in the evenings and at weekends; time off in lieu will be awarded to take account of this. Key Responsibilities Database and Prospect Support Supporting the Development Manager with ad hoc data requests for the wider Development Office, including producing lists for fundraising campaigns and events. Helping to maintain the alumni database, keeping it up to date and accurate; inputting changes and additions and flagging to colleagues when relevant information is received; investigating and contacting alumni marked as 'lost', and processing returned mail. Be responsible for the processing and recording of donations on the database, including all administration associated with the donation cycle. With the support of the Data and Analytics Manager, undertake monthly financial reconciliation. Proactively manage the giving societies, ensuring membership is up to date. Supporting the Alumni Engagement Manager with event administration, including producing name badges, place cards, menu cards and other event materials. Assisting with processing event bookings, adding revenue batches to DARS and adding interactions. Responding to general enquiries via email, telephone and letter. Answering the telephone and taking messages for colleagues; dealing with incoming post; delivering outgoing post. Organising the office environment, including ensuring printers are well stocked and working, shredders are emptied; and the office kept in a tidy and organised condition. Supporting colleagues with admin heavy projects, e.g. printing, collating and circulating documents. Preparing condolence letters from a template. This list includes the principal responsibilities of the role but is not exhaustive. Other duties may be specified by the Development Manager from time to time. Skills, Knowledge and Expertise Essential Criteria Educated to degree level. Numerate, confident and accurate at handling financial data. Aptitude for maintaining and managing information on a database, including utilising Excel. Excellent written and spoken English, including accurate grammar, spelling and punctuation. Ability to manage competing priorities within a busy and demanding environment. Initiative, common sense, good judgement and the ability to work unsupervised. Strong IT skills, particularly Microsoft Office (including Outlook, Word, Excel and PowerPoint). Highly organised, with impeccable attention to detail in all work undertaken. Polite telephone manner and good interpersonal skills. Professionalism, tact and discretion in dealing with others and handling confidential information. Able to work calmly under pressure, prioritise effectively and manage varied workloads. High personal and professional standards, a strong work ethic and a sense of responsibility. Demonstrates concern for quality, accuracy, thoroughness, clarity and conciseness. Able to provide information on a timely basis and in a usable form to others who need to act on it. Works proactively and takes opportunities to improve quality. Understanding of alumni and College expectations. Punctual with good timekeeping. Willing to consult, seek advice, receive feedback, adjust working methods and work effectively and positively within a team. An interest in fundraising and belief in higher education and the aims of the College. Working knowledge of an Oxford college. Experience of fundraising (e.g. crowdfunding or as a telethon caller). Experience of data processing. Benefits The salary will be £26,707 (College Grade 4), plus Oxford Location Allowance of £1,730 per annum. Membership Contributory pension scheme Free lunches Car parking may be available Use of College sports facilities Cycle to Work Scheme Optional contributory Healthcare Scheme Bus pass purchase scheme Holiday entitlement is 30 days per annum plus bank holidays. Some restrictions may apply when holiday cannot be taken to ensure the smooth running of the Development Office. Some set days holiday must be taken when the College is closed. The College provides for maternity leave on a basis that exceeds the statutory provisions. This is a day one entitlement and there is no qualifying period, women are eligible for 26 weeks' maternity leave on full pay, followed by 13 weeks of leave on Statutory Maternity Pay (SMP) and 13 weeks of unpaid maternity leave. Arrangements for Adoption leave, Shared Parental Leave, and Paternity Leave are also in place. Magdalen College has a priority claim in the University nurseries. Hours of work 37.5 hours per week, Monday to Friday. The hours of work will generally be 08.30am to 17.00pm, or 9.00am to 5.30pm. There may be an occasional need to work evenings or weekends, which will be agreed by prior arrangement with the Development Manager. Under these circumstances, time will be given in lieu. This role is offer-based. This position is on a 12 month fixed term, available from 1st September 2026.

Mitie Group plc. is seeking security personnel in Oxford to protect customer properties and ensure compliance with legal and safety standards. You'll be responsible for following detailed Assignment Instructions and maintaining a high level of professionalism in various situations. A valid SIA License is necessary, along with previous security experience. The role emphasizes continuous development and adherence to industry regulations. Join us and ensure a safe environment for our clients.

Mitie Group plc. is seeking a Security Officer in Oxford to protect property, people, and assets while ensuring compliance with all relevant legal requirements and the client's needs. Responsibilities include maintaining safety protocols, reporting hazards, and completing training for continuous development. The ideal candidate should have prior security experience and hold a valid SIA License. Additionally, SC Clearance is desirable.

Mitie Group plc. is looking for security personnel in Oxford. The ideal candidate will protect customer properties and ensure compliance with safety standards while following detailed Assignment Instructions. Applicants must possess a valid SIA License and previous security experience, emphasizing the importance of professionalism. Join us to ensure a safe environment for our clients and contribute to continuous development in the security industry.

OrganOx Limited is seeking a Planning Analyst to manage material availability for internal and external customers effectively. The role involves enhancing materials planning processes and ensuring adherence to operational standards. Ideal candidates will have a strong background in MRP/ERP systems, especially SAP, alongside proven skills in KPI development and analytical reasoning. Located in Oxford, the position offers competitive compensation and numerous benefits from day one, promoting work-life balance and professional growth opportunities.

Corehr is seeking a Senior Research Associate for the Oxford Programme for Cyber and Technology Policy. This role supports the Child Online Safety initiative, coordinating research to develop international policies for protecting children online. The ideal candidate will hold a postgraduate degree with significant relevant experience in digital policy and regulation. The position is fixed-term until 31 March 2027, offering up to 20 variable hours per week.

About OrganOx OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). Its flagship platform, the metra , is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfill its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions. Position Summary The Planning Analyst is responsible for ensuring strong material availability for both internal and external customers, supporting Production and Servicing across the organisation. The role plays a key part in building high quality materials planning processes that align with organisational goals and operational excellence. The Planning Analyst will help introduce improved ways of working and contribute to a culture of continuous improvement. Major Responsibilities Alignment of the demand and supply plan for components and spare parts to ensure a high availability of material and optimisation of inventory. Ownership of the SAP material master and the item creation process. Identification of AI and machine learning capabilities and implementation into Organox operations. Responsible for PowerBi KPI development and maturity of the reporting process. Providing SAP Super User support to the wider organisation. Participating in cross functional projects to improve material planning processes and operational efficiency. Ensuring new product introductions are effectively planned and handed to Procurement to action. Collaborate with cross functional teams to establish workflows that integrate seamlessly with other business functions and teams, promoting inclusion, innovation of thought and operational excellence. Act as a coach and mentor within the Planning function and the wider Operations function. Supporting initiatives to enhance delivery performance and cost optimisation. Ensuring all material planning activities comply with relevant standards (ISO 13485, FDA, BSI). Continuously assess and optimise planning processes to drive efficiency, scalability and cost effectiveness. Implement best in class practices to meet the evolving growing needs of the business. Skills & Experience Demonstrable experience in a similar role within the medical, manufacturing, or related sector. Expert user of MRP and ERP systems, such as SAP Business One or SAP R/4 HANA. Proven experience in the development of KPIs using software such as PowerBi or SAP analytics. Strong analytical abilities with experience in handling complex datasets. Ability to work effectively across multi disciplinary teams, including Production, Purchasing, Servicing, Quality, Engineering and Finance. Excellent communication and teamwork abilities. High proficiency in Microsoft Office applications such as Microsoft Excel. Proactive approach with strong problem solving skills and a commitment to continuous improvement. Ability to work under pressure and meet deadlines. Qualifications Undergraduate degree in a related subject or similar demonstratable experience. A minimum of 5 years' relevant experience in a materials planning / analysis role (essential). Formal Lean 6 Sigma training an advantage. A job description does not imply that the duties stated are the only ones to be performed by the job holder. Job holder will be required to follow any other job-related instruction as reasonably requested by their line manager or their designate. Benefits We offer competitive compensation and comprehensive benefits available from day one, including health, dental, vision, disability coverage and flexible spending accounts. Additionally, we offer a 401(k)-retirement plan with company matching after 90 days, paid time off, holidays, and additional leave benefits, as well as employee discounts and access to our onsite wellness facility. OrganOx supports work life balance and provides opportunities for ongoing professional development.

Description At System C, data underpins how we support health and care organisations to deliver better outcomes. We are looking for a Data Architect (Business Systems) to join our team in a newly created role, offering the opportunity to shape how data is managed across business systems and establish best practices as the function evolves. You will be a key point of contact for data across systems such as Salesforce, Workday, NetSuite, Percursive and Jira. Helping to ensure data is accurate, connected and delivering real value to the business. This is a hands on role where you'll take ownership of data governance, data flows and integration between systems, while working closely with stakeholders across Finance, Sales, HR & Services. You'll play an important role in bringing data together from different sources, improving its quality and helping create a clear, trusted 'source of truth' across the organisation. What you will do Working through the enterprise integration platform, you will ensure data flows are robust, well-governed, and aligned to business priorities. Own and develop data governance practices across business systems, working closely with system owners and building on existing processes. Manage and improve data flows and integrations between key platforms. Work with system owners to ensure data accuracy, consistency, and quality. Help define and maintain a source of truth for business critical data. Collaborate with stakeholder across Finance, HR, Sales & Services. Support the improvement of reporting and data-driven insights. Ensuring all data movement complies with security, privacy, and regulatory obligations, including GDPR. What we are looking for We are looking for someone with solid experience working with data across systems, who enjoys problem solving and improving how data is used in a business environment. This role would suit someone currently working in a Data, BI, or Business Systems role who is looking to step into a more architect-focused position with greater ownership and impact. You will have Experience working with data across multiple systems. Exposure to system integrations and how data moves between platforms. The ability to understand complex data and simplify it for others. Strong communication skills, with confidence collaborating with non-technical stakeholders. A practical hands on approach with a focus on getting things working effectively. Why join System C You will play a critical role in shaping how data supports a growing organisation, within a culture that values integrity, ownership, collaboration, and continuous improvement. This is an opportunity to make a lasting impact on systems that support health and care services. Apply today to help define the future of data across System C.

Ground Truth Labs GTL is a well-funded, early-stage startup developing state-of-the-art digital technologies to better understand, diagnose and treat blood cancer patients. We have built an exceptional, small-by-design, interdisciplinary team to translate leading academic research into real impact on global health. Since 2023 we have made considerable progress in developing our technology, deploying our first generation of algorithms commercially with global biopharma companies, and working with world-leading academic medical centres to continue developing and validating new biomarker tools that improve patient outcomes. As a member of our small team, you will have the opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make use of the latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside engineering and clinical science to build robust algorithms and to develop methodologies that drive clinical adoption. We are an early stage company, you will have the opportunity to drive the research direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion algorithm products in key strategic areas for GTL. What you'll do Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven solutions and interpretable algorithms that address clinical questions Develop and maintain scalable data pipelines and infrastructure to support data science projects. Manage product, software and clinical and regulatory inputs and requirements to translate research algorithms into clinical-grade tools suitable for use in the real world. Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and and conference abstracts. Stay up-to-date with the latest developments in the field of machine learning, medical imaging, and data science What you bring Essential PhD or equivalent practical experience in a technical field Experience and a track record of innovation in deep learning and statistical analyses Expertise in processing and analysing large image datasets using statistical methods Ability to work independently and as part of multidisciplinary team within in a fast-paced startup environment Strong communication and collaboration skills. Both remote (excellent written communication is key) and in-person Strong programming skills in Python and experience with PyTorch Nice to have Track record in computational pathology and/or single-cell transcriptomics analysis, sequencing Clinical background or knowledge of cancer biology Expertise in multimodality integration which includes histology data, clinical data, sequencing or other multi-omics Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases Opportunity This is an opportunity to join a small, high-calibre team and take ownership of foundational engineering work at a pivotal stage of company growth. You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field. Working environment We primarily work remotely with a strong emphasis on efficient processes that enable high-quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2-8 in-person days. As a team, we value: Concise and engaged communication - we communicate clearly to work effectively in a remote setting. Pride in high-quality work - we pay attention to detail and deliver to the highest standard. A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths. Equality We welcome applications from all of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Impact This is an opportunity to join a rapidly growing startup in the AI space and make a real impact in the field of blood cancer. We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast-moving environments, we would love to hear from you. Please note that when you submit an application, your data will be processed in line with our privacy policy.

The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are bringing the world's first optical AI compute platform to market. As we move from development into field deployment, we are looking for a Product Systems Engineer to own the hands on technical delivery of Iris servers - from integration and bring up inside our engineering team through to deployment and live operation in third party data centre environments. You will begin by working directly alongside our core engineering team - owning the integration and validation of Lumai Iris server units. This is intentional: the best way to develop deep expertise in a novel platform is to build it. As deployments go live, you will take ownership in the field - leading system bring up, performance characterisation, and post deployment support, and acting as the primary technical contact for data centre operators and end customers. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into production for the first time, and playing a central role in how it reaches the world. What You'll Do Integrate and build Lumai Iris server units alongside the engineering team - owning bring up, validation, and performance characterisation of units ahead of deployment Lead system bring up, validation, and performance characterisation of deployed units in third party data centre environments Own on site and remote troubleshooting of hardware issues, acting as the first line of response post deployment Train and enable data centre operators and customer engineering teams on the Iris platform Act as the primary post deployment technical contact for customers and data centre operators Feed field findings, deployment issues, and customer feedback back into product and engineering What We're Looking For Must Have Hands on experience in a systems engineering, field engineering, or hardware deployment role within AI infrastructure, HPC, or comparable hardware Practical experience with system integration, bring up, and hardware level troubleshooting Familiarity with data centre environments - rack power, thermal, and networking Comfortable in a customer facing role, able to communicate clearly with operators and engineering teams alike Comfortable working in a fast moving, early stage environment where the product and the deployment playbook are both still being developed Strong Preference For Experience with AI inference hardware or accelerated compute systems Enough performance analysis experience to characterise results and explain them to customer teams Genuine curiosity in, novel compute architectures - post silicon approaches Programming literacy (for example Python) sufficient to engage credibly on benchmark methodology and basic automation Experience in a deep tech, semiconductor, or hardware startup environment Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.

The Opportunity Lumai is redefining how the world computes. We are an ambitious, venture-backed UK startup pioneering a breakthrough AI accelerator for data centers which uses 3D optical compute. Our radical technology uses light to perform computation at orders of magnitude faster speeds and at far greater scales than ever before, all whilst consuming far less energy than traditional approaches. Lumai is unlocking performance and efficiency gains that could transform the economics of AI and compute infrastructure and reshape how intelligence scales globally. If you are passionate about bringing groundbreaking technology to market, and want to be part of a team pushing the boundaries of what is physically possible, Lumai is where you can make it happen. About Lumai Founded in 2022, Lumai is a University of Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures and government grants, and is scaling rapidly to deploy the fastest optical compute currently available globally. The Role We are looking for a technically deep and commercially astute Senior Solutions Architect to own the technical heart of our customer engagements as we bring the world's first optical compute inference platform to market. You will be the person who turns a customer's interest into a credible, technical opportunity. You will lead deep technical discovery with the most demanding customers in the industry - hyperscalers, neoclouds, frontier AI labs, and national laboratories - and translate what they need into a Lumai-based solution, mapping their requirements against Lumai's current and roadmap solutions. You will work hands on with our benchmark team to prove the solution against real customer workloads, and you will author the technical proposals and responses that allow a customer to make the argument for Lumai inside their own organisation. This is an early stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering teams, ensuring the voice of the customer shapes what we build next. What You'll Do Work with Lumai's business development lead, owning the technical relationship Conduct deep technical discovery with customer infrastructure and ML engineering teams Translate customer requirements into a Lumai-based solution, mapping needs against both near term and roadmap solutions Define the shape of an engagement - benchmark, proof of concept, reference architecture, or statement of work Works hands on with Lumai's benchmark team to scope, run, and interpret benchmarks, and owns the presentation of results Produce the technical case for Lumai - proposals, solution documentation, and responses to RFIs, RFPs, and tenders Design and delivers demos and technical workshops for customer technical teams Feed customer requirements, evaluation feedback, and roadmap reactions back into product and engineering, playing a critical role in driving the Lumai roadmap What We're Looking For Must Have Substantial experience in a solutions architecture, technical pre sales, or senior field engineering role within AI infrastructure, high performance compute, semiconductors, or a comparable deep tech hardware domain Strong working knowledge of AI inference at scale - how large language models are deployed Familiarity with data centre architecture: rack power, thermal, networking, and integration with existing software stacks Demonstrated ability to lead technical discovery with sophisticated customers and translate requirements into a solution Comfortable operating in a fast moving, sometimes ambiguous, pre product environment Strong Preference For Direct experience selling into, or working within, hyperscalers, neo clouds, frontier AI labs, or national laboratories Awareness of the competitive landscape and how Lumai's optical approach is positioned against it Background or genuine curiosity in novel compute - photonics, optical computing, or other post silicon architectures Enough hands on credibility with benchmarking and performance analysis that customer ML and infrastructure engineers respect your reading of results Compensation & Benefits Highly Competitive Salary: We are not saying our salary is a blank check, but let's just say it won't be a source of your stress Share Option Scheme: We are all in this together! We believe in shared success while we build the Lumai of tomorrow Pension Scheme: Plan for retirement with AVIVA Private Health Insurance: We firmly believe that you come first, and a happy you is a healthy you! Look after yourself and your loved ones with AXA Cycle to Work: Spread the cost of a bike, a bike and accessories or just accessories and save on tax L&D Allowance: Stay at the forefront of your field with a £500 annual development budget Subsidised On site Lunches: Enjoy on site healthy meals at half the price, as Lumai covers 50% of the cost Holidays: Enjoy some deserved "me time" with 25 days paid holiday (plus bank holidays) per year Socials: Be part of an inclusive community enjoying occasional all company off sites, lunches and socials Interview Process Our process is four stages. An initial conversation with our HR team to understand what you want from the role and what we want from it. Two technical sessions with our Product and Leadership team. Finally, an HR team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly three to four weeks end to end. Lumai is an equal opportunity employer. We make hiring decisions on merit, scope fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. If you are not sure whether you are a fit, send a note anyway.

Role Summary As an experienced, outcome-focused Content Marketing leader you will help build and nurture our new content marketing team and elevate how content drives growth across the business. In this role, you will oversee the content strategy, manage a dispersed content marketing team, and ensure we deliver impactful, high-quality content aligned to business priorities, customer needs, and brand objectives. You will play a crucial part in shaping our narrative, supporting revenue goals, accelerating product adoption, and strengthening our presence across key markets. Through your leadership of our Content Marketing team, you will help convey our brand voice and message, increase engagement with our security, product and customer stories, and drive measurable impact across the audience journey - from prospects and existing Sophos customers to our channel partners and the wider security industry. Experience of and passion for AI to enhance content delivery and outcomes is a must. You will lead from the front, identifying how pipelines can be rearchitected using AI and helping redefine content marketing for the AI era. This role is ideal for someone who believes in the power of content in accelerating achievement of business goals, loves enabling a team of specialists to turn ideas into real-world outputs, and can translate strategic objectives into content that overperforms. What You Will Do Content Leadership & Strategy Own and evolve the global content marketing strategy to support brand awareness, new logo growth, customer expansion, product launches, customer retention, and thought leadership. Translate business objectives into actionable content plans across the entire buyer and customer lifecycle. Lead content planning and prioritization across channels, audiences, and regions. Ensure all content aligns with brand messaging, positioning, and strategic product marketing narratives. Drive the use of AI in content creation, transforming the way we approach workflows, evolving the role of the team in the AI era, and effectively balancing AI with human expertise and oversight. Team Management & Development Lead, mentor, and develop a team of regionally-dispersed content creators. Establish clear roles, workflows, and metrics to ensure operational excellence. Foster a culture of creativity, collaboration, and continuous improvement. Content Creation & Oversight Oversee the development of high-impact content including thought leadership, whitepapers, case studies, web pages, email copy, video scripts, social content, and more. Review and elevate content quality, ensuring clarity, accuracy, consistency, and brand alignment. Partner with our Brand/Creative Services teams to collaborate on the delivery of compelling multimedia content. Cross-Functional Collaboration Work closely with the wider marketing and go-to-market group to understand priorities and turn them into effective content strategies. Ensure content supports key commercial initiatives such as campaigns, launches, ABM programmes, sales enablement, and customer expansion. Build strong internal relationships to source insights, customer stories, and subject matter expertise. Own the effective communication of content resources and how to take advantage of them across the marketing and wider go-to-marketing group, ensuring communications are aligned with broader internal communication efforts. Performance, Analytics & Optimisation Define content KPIs tied to business outcomes. Track content performance using analytics tools and deliver regular insights and recommendations. Drive a culture of experimentation and data-driven optimisation across formats and channels. Content Governance & Operations Maintain a centralised editorial calendar mapped to company priorities. Oversee content governance, workflows, documentation, and scalable processes. Manage budgets and agency relationships. What You Will Bring Proven ability to connect content strategy to commercial outcomes, revenue goals, and customer needs. Experience of cybersecurity solutions in the Sophos portfolio, with particular interest in Endpoint, Firewall, MDR and security services. Strong editorial judgement and exceptional writing/editing skills. Deep understanding of SEO, content distribution, and multi-channel strategy. Strong cross-functional partnerships and alignment with business priorities. Experience of using AI for content. Ability to create a high-performing content team delivering consistently impactful, on-brand content. Ability to build strong relationships across cross-functional teams while working remotely. Ability to translate complex ideas into easy-to-consume outputs. Ability to manage multiple initiatives, stakeholders, and deadlines with strong project management skills. Strong communications skills. Desirable Experience managing and growing high-performing content teams. Experience of social media platforms and social content creation technologies. In the United States, the base salary for this role ranges from $141,000 to $235,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package. A candidate's specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. What's Great About Sophos? Sophos operates a remote first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. Our people - we innovate and create, all of which are accompanied by a great sense of fun and team spirit. Employee led diversity and inclusion networks that build community and provide education and advocacy. Annual charity and fundraising initiatives and volunteer days for employees to support local communities. Global employee sustainability initiatives to reduce our environmental footprint. Global fitness and trivia competitions to keep our bodies and minds sharp. Global wellbeing days for employees to relax and recharge. Monthly wellbeing webinars and training to support employee health and wellbeing. Our Commitment To You We're proud of the diverse and inclusive environment we have at Sophos, and we're committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos' data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered Sophos.

About Viator Oxford or London, UK Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore-everything from simple tours to extreme adventures-making memories that will last a lifetime has never been easier. With industry leading flexibility and last minute availability, it's never too late to make any day extraordinary. The Viator Experiences Engineering team is distributed across Europe and is responsible for the Viator mobile apps and all their supporting infrastructure. We run the systems that help operators build their businesses and those which enable third parties to utilise our inventory. We provide the tools that help our customer services team deliver world class service to travellers and operators internationally. Responsibilities At Viator our Engineers are versatile and enjoy working on a variety of technical challenges. This is a backend focused full stack position in which you will be working mostly on the backend with some front end projects from time to time. Working closely alongside product managers and designers, our engineers are part of the full process from software design, to code, to test, to deployment and back again. Most engineers release code to production every few days and we have a daily release cycle. Qualifications You should have experience with a statically typed, object oriented language such as Java, C#, or C++, and hold a bachelor's or master's degree in Computer Science or a related field. Perks of Working at Viator Competitive compensation packages, including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. Remote friendly collaboration with the option to join on site as often as you'd like in select locations. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another-and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. Application Process 30 minute call with a recruiter to learn more about the role 1 hour technical coding interview with someone from the Viator Engineering team Three one hour interviews with members of the team, covering technical topics-including some coding-and what you would bring to Viator. Accessibility Statement We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please reach out to your individual recruiter or our team at .

Corehr is seeking a full-time Postdoctoral Research Assistant in Engineering Biology to join the team at the Department of Engineering Science in Oxford. The position is fixed-term until 31 March 2027 and focuses on developing biocatalysts from waste to support sustainable production processes. The ideal candidate will have a PhD/D.Phil. in microbiology or a related field, with strong laboratory and research techniques in synthetic biology. Join an innovative team contributing to cutting-edge research.

Marks & Spencer Plc in Oxford is seeking a Customer Assistant for the Food section. You'll provide frontline service in a fast-paced environment, ensuring customers receive five-star service and assistance with food products. The ideal candidate will thrive under pressure, utilize digital tools for enhancing customer experiences, and work flexibly across various store areas. Join M&S to be part of a dynamic team dedicated to delivering exceptional service.

Position Title Postdoctoral Research Assistant in Engineering Biology Location Department of Engineering Science - Begbroke Science Park, Begbroke, Oxfordshire OX5 1PF Job Summary We are seeking a full time postdoctoral to join the Prof Cathy Ye and Prof Wei Huang research group at the Department of Engineering Science (Headington/Begbroke, Oxford). The post is funded by BBSRC and is fixed term to 31 March 2027. Responsibilities Develop simple cell (SimCell, non dividing bacteria cell) based biocatalyst to transform waste from cultured meat process into essential amino acids and growth factors to achieve a sustainable production. Perform single cell characterisation and collect Raman phenotypic profile of both SimCells and cultured meat using single cell Raman spectroscopy. Use bioluminescence (luxCDABE gene cluster) and half life time GFP expression, GC/HPLC MS, flow cytometry to monitor in situ SimCell ATP level, metabolic flux, and product profiles. Acquire both genotypic data (DNA sequencing) and phenotypic data (protein production and Raman single cell profiling analysis) to enable iterative refinement of AI predicted designs based on observed biochemical phenotypes. Qualifications PhD/D.Phil. (or be near completion) in microbiology, molecular biology, cell biology or closely related area. Relevant experience and strong knowledge and expertise in research and laboratory techniques relevant to synthetic biology/microbiology/molecular cell biology. Strong ability to work on interdisciplinary and collaborative research challenges and manage own academic research and associated activities. Previous experience of contributing to publications/presentations and the ability to contribute ideas for new research projects and research income generation. Contact Informal enquiries may be addressed to Professor Cathy Ye () and Professor Wei Huang (). Application deadline Only online applications received before midday on Friday 26 June 2026 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests, CV and the details of two referees. Additional Information The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.