Sreeyam Soft Pvt Ltd offers a structured 2-year graduate program based in London and Manchester, focusing on rotations in engineering, cloud, and AI. You'll own feature delivery from design to deployment while mentoring a team of engineers. Ideal candidates have 5+ years in software engineering, a solid understanding of CS fundamentals, and experience in developing enterprise-grade SaaS products. The role includes a learning budget of £2,000/year and modern office benefits, along with a supportive and inclusive culture.
24/06/2026
Full time
Sreeyam Soft Pvt Ltd offers a structured 2-year graduate program based in London and Manchester, focusing on rotations in engineering, cloud, and AI. You'll own feature delivery from design to deployment while mentoring a team of engineers. Ideal candidates have 5+ years in software engineering, a solid understanding of CS fundamentals, and experience in developing enterprise-grade SaaS products. The role includes a learning budget of £2,000/year and modern office benefits, along with a supportive and inclusive culture.
2-year structured graduate programme with rotations across engineering, cloud and AI. London / Manchester Plus benefits, bonus and learning budget. Responsibilities Own delivery of major features end-to-end, from technical design through production deployment. Lead architecture and code reviews for a team of 4-6 engineers, mentoring junior team members. Partner with product, design and client stakeholders to translate business goals into technical solutions. Drive engineering excellence - testing, observability, performance and security best practice. Contribute to internal frameworks, design systems and reusable libraries across our consulting practice. What we're looking for 5+ years of professional software engineering experience in production environments Strong CS fundamentals - data structures, algorithms, distributed systems Track record of shipping enterprise grade SaaS or platform products at scale Excellent written and verbal communication; comfortable engaging directly with clients Top of market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices across the UK with 2-3 days remote each week. Work with FTSE 250 clients on AI, cloud and digital transformation. Inclusive culture Active ERGs, mentorship and a flat, collaborative team.
24/06/2026
Full time
2-year structured graduate programme with rotations across engineering, cloud and AI. London / Manchester Plus benefits, bonus and learning budget. Responsibilities Own delivery of major features end-to-end, from technical design through production deployment. Lead architecture and code reviews for a team of 4-6 engineers, mentoring junior team members. Partner with product, design and client stakeholders to translate business goals into technical solutions. Drive engineering excellence - testing, observability, performance and security best practice. Contribute to internal frameworks, design systems and reusable libraries across our consulting practice. What we're looking for 5+ years of professional software engineering experience in production environments Strong CS fundamentals - data structures, algorithms, distributed systems Track record of shipping enterprise grade SaaS or platform products at scale Excellent written and verbal communication; comfortable engaging directly with clients Top of market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices across the UK with 2-3 days remote each week. Work with FTSE 250 clients on AI, cloud and digital transformation. Inclusive culture Active ERGs, mentorship and a flat, collaborative team.
Job Overview: Would you like to join the team that defines the micro-architecture of the future Arm CPUs, and influence the future by crafting products that millions of people will use all over the world? We are looking for engineers willing to accept the challenge of working with us on defining next generation products optimised for cutting-edge AI algorithms that target markets from IoT devices to mobiles, laptops and servers. The performance team within the CPU group is responsible for early performance exploration and analysis that drive the definition of the next generation Arm CPUs. By joining the team, you will interact closely with world-wide CPU RTL designers and implementation teams to investigate and evaluate new micro-architectural ideas and design trade-offs that will make the micro-architecture for the next products successful for the target sectors. You will evaluate these ideas and analyse CPU performance and power developing and using C++ based models of the micro-architecture. You will also coach and mentor more junior engineers to help them grow and become deep experts on the field. Responsibilities: The key objectives of this role include: Help driving the technical direction of the team, which develops, tests and maintains software models of Arm's advance CPUs. Engage with hardware design engineers to prune the design space of next generation products, understanding power and performance opportunities on current processors and investigate potential micro-architectural improvements. Support the mentorship and coaching of other specialists; sharing your technical expertise and experience. With your help, we will keep improving the effectiveness of Arm modelling methodologies. Our team collaborates with performance, design and implementation engineers across the world. You would be involved on the communication and alignment of activities related to integration, methodologies, strategies, etc. Required Skills & Experience: Good interpersonal skills and capacity to work efficiently with local and remote teams. Detailed understanding of CPU micro-architecture. Experience of performance modelling. Experience of exploring and evaluating ideas and performance related to processor micro-architecture. Proven experience in C++. Nice to Have Skills & Experience: Team leadership, including planning and managing tasks, as well as delivery to specification and schedule. Strong software development experience, including design specification, coding, testing, and debugging. Experience with RTL and SystemC simulators. Experience with power models. Familiarity with Arm architectures and instruction sets. Knowledge of System Architecture and System Software including OS kernel internals. Experience of Unix development environment. University degree, ideally in electronic engineering or computer science, although other graduates would be considered if they have meaningful experience. In Return: You will get to utilise your engineering skills to build support for technologies and influence millions of devices for years to come. You'll share ideas with and learn new skills from some of the best engineers in the world! Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
24/06/2026
Full time
Job Overview: Would you like to join the team that defines the micro-architecture of the future Arm CPUs, and influence the future by crafting products that millions of people will use all over the world? We are looking for engineers willing to accept the challenge of working with us on defining next generation products optimised for cutting-edge AI algorithms that target markets from IoT devices to mobiles, laptops and servers. The performance team within the CPU group is responsible for early performance exploration and analysis that drive the definition of the next generation Arm CPUs. By joining the team, you will interact closely with world-wide CPU RTL designers and implementation teams to investigate and evaluate new micro-architectural ideas and design trade-offs that will make the micro-architecture for the next products successful for the target sectors. You will evaluate these ideas and analyse CPU performance and power developing and using C++ based models of the micro-architecture. You will also coach and mentor more junior engineers to help them grow and become deep experts on the field. Responsibilities: The key objectives of this role include: Help driving the technical direction of the team, which develops, tests and maintains software models of Arm's advance CPUs. Engage with hardware design engineers to prune the design space of next generation products, understanding power and performance opportunities on current processors and investigate potential micro-architectural improvements. Support the mentorship and coaching of other specialists; sharing your technical expertise and experience. With your help, we will keep improving the effectiveness of Arm modelling methodologies. Our team collaborates with performance, design and implementation engineers across the world. You would be involved on the communication and alignment of activities related to integration, methodologies, strategies, etc. Required Skills & Experience: Good interpersonal skills and capacity to work efficiently with local and remote teams. Detailed understanding of CPU micro-architecture. Experience of performance modelling. Experience of exploring and evaluating ideas and performance related to processor micro-architecture. Proven experience in C++. Nice to Have Skills & Experience: Team leadership, including planning and managing tasks, as well as delivery to specification and schedule. Strong software development experience, including design specification, coding, testing, and debugging. Experience with RTL and SystemC simulators. Experience with power models. Familiarity with Arm architectures and instruction sets. Knowledge of System Architecture and System Software including OS kernel internals. Experience of Unix development environment. University degree, ideally in electronic engineering or computer science, although other graduates would be considered if they have meaningful experience. In Return: You will get to utilise your engineering skills to build support for technologies and influence millions of devices for years to come. You'll share ideas with and learn new skills from some of the best engineers in the world! Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Graduate Technical Support Engineer - UK Deep Sea Electronics is a global leader in the design and manufacture of generator controllers, automatic transfer switch controllers, battery chargers, and vehicle and off highway control systems. With over 200 employees across four continents, we supply our products to customers in more than 150 countries, both directly from our UK head office and through a well established international distributor network. The Graduate Technical Support Role will begin as a fixed term contract and will result in a permanent contract as a Technical Support Engineer at DSE if successful. There will be constant on the job learning with a mentor, as well as training sessions as and when required. This role presents a steep learning curve, but the office environment encourages you to ask as many questions as possible. Learning Fundamental theory including AC/DC, electrical topologies, engines and alternators, switchgear, protection & CT's, and number systems including binary and hexadecimal. Use of Deep Sea software including DSEConfiguration Suite, Scada Suite, Scada, PLC and DSEWebnet. Communication protocols including MQTT, Modbus, SNMP, J1939. Synchronising and loadsharing between generators, including understanding AVRs and Governors. To provide DSE's external customers with high quality, value adding technical support on the full range of the company's electronic control modules for a wide range of generator and control applications, including renewable energy, backup/emergency power, paralleling with the grid, and other complex applications. This includes engine only functions and off highway implementations. To provide technical support and product development guidance to DSE's internal teams including production, engineering, sales & marketing, test & approvals, and other members of the technical support team. Training global and local customers, and internal personnel on DSE product and their applications. Global and local customer visits to assist sales, training, or fault finding purposes. Key Responsibilities Providing customers with global technical support (training, troubleshooting, commissioning, etc.) via telephone, email, remote desktop sessions (e.g., Microsoft Teams, Zoom) and face to face on a wide range of DSE product. Delivering training sessions on DSE products covering technical functions, applications, and common faults. Testing and confirming reported issues from customers. If confirmed, following the company's procedures and guidelines for remedial action. Preparation of technical documentation including product manuals and training instructions. Proofreading technical documents authored by other personnel. Providing development guidance to engineering on new and existing product features. Assisting the test and approval department's comprehensive testing of products. Providing technical support to DSE internal teams including production, engineering, sales & marketing, test & approvals, and other members of the technical support team. Compliance with internal procedures and documentation. Submitting a monthly report to the global support manager of previous months' activities. Internal and External Relationships Liaising with other technical support engineers to better understand existing and new products, and their functionality. Liaising with the engineering and test & approval departments when clarification is required by those departments or technical support. Liaising with internal sales and marketing providing assistance where necessary. Liaising with the relevant Business Development Manager (BDM) for their region's requirements, keeping them appraised of developments in their area. Liaising with DSE distributors, customers, integrators, and end users requiring support. Liaising with third party companies within DSE supply chain providing assistance where necessary. Requirements General generator application and system knowledge. Excellent communication skills. Ability to work at a high level of concentration and commitment. Ability to operate under own initiative as well as possessing strong team working skills. Recent experience in the generators and the diesel generator industry. Relevant experience in a customer based environment. Educated to a HNC level in Electrical and Electronic Engineering or equivalent by industry experience. 25 days holiday + Bank Holidays. Life insurance. Enhanced maternity/paternity pay. 5 % pension contributions. Companywide performance based annual bonus scheme. DSE is an equal opportunity employer. A copy of our statement is available on request. Please see linked below our Job Applicant Data Privacy Notice which sets out what personal data we, Deep Sea Electronics Ltd (DSE), hold about you and how we collect and use it during and after the recruitment process.
24/06/2026
Full time
Graduate Technical Support Engineer - UK Deep Sea Electronics is a global leader in the design and manufacture of generator controllers, automatic transfer switch controllers, battery chargers, and vehicle and off highway control systems. With over 200 employees across four continents, we supply our products to customers in more than 150 countries, both directly from our UK head office and through a well established international distributor network. The Graduate Technical Support Role will begin as a fixed term contract and will result in a permanent contract as a Technical Support Engineer at DSE if successful. There will be constant on the job learning with a mentor, as well as training sessions as and when required. This role presents a steep learning curve, but the office environment encourages you to ask as many questions as possible. Learning Fundamental theory including AC/DC, electrical topologies, engines and alternators, switchgear, protection & CT's, and number systems including binary and hexadecimal. Use of Deep Sea software including DSEConfiguration Suite, Scada Suite, Scada, PLC and DSEWebnet. Communication protocols including MQTT, Modbus, SNMP, J1939. Synchronising and loadsharing between generators, including understanding AVRs and Governors. To provide DSE's external customers with high quality, value adding technical support on the full range of the company's electronic control modules for a wide range of generator and control applications, including renewable energy, backup/emergency power, paralleling with the grid, and other complex applications. This includes engine only functions and off highway implementations. To provide technical support and product development guidance to DSE's internal teams including production, engineering, sales & marketing, test & approvals, and other members of the technical support team. Training global and local customers, and internal personnel on DSE product and their applications. Global and local customer visits to assist sales, training, or fault finding purposes. Key Responsibilities Providing customers with global technical support (training, troubleshooting, commissioning, etc.) via telephone, email, remote desktop sessions (e.g., Microsoft Teams, Zoom) and face to face on a wide range of DSE product. Delivering training sessions on DSE products covering technical functions, applications, and common faults. Testing and confirming reported issues from customers. If confirmed, following the company's procedures and guidelines for remedial action. Preparation of technical documentation including product manuals and training instructions. Proofreading technical documents authored by other personnel. Providing development guidance to engineering on new and existing product features. Assisting the test and approval department's comprehensive testing of products. Providing technical support to DSE internal teams including production, engineering, sales & marketing, test & approvals, and other members of the technical support team. Compliance with internal procedures and documentation. Submitting a monthly report to the global support manager of previous months' activities. Internal and External Relationships Liaising with other technical support engineers to better understand existing and new products, and their functionality. Liaising with the engineering and test & approval departments when clarification is required by those departments or technical support. Liaising with internal sales and marketing providing assistance where necessary. Liaising with the relevant Business Development Manager (BDM) for their region's requirements, keeping them appraised of developments in their area. Liaising with DSE distributors, customers, integrators, and end users requiring support. Liaising with third party companies within DSE supply chain providing assistance where necessary. Requirements General generator application and system knowledge. Excellent communication skills. Ability to work at a high level of concentration and commitment. Ability to operate under own initiative as well as possessing strong team working skills. Recent experience in the generators and the diesel generator industry. Relevant experience in a customer based environment. Educated to a HNC level in Electrical and Electronic Engineering or equivalent by industry experience. 25 days holiday + Bank Holidays. Life insurance. Enhanced maternity/paternity pay. 5 % pension contributions. Companywide performance based annual bonus scheme. DSE is an equal opportunity employer. A copy of our statement is available on request. Please see linked below our Job Applicant Data Privacy Notice which sets out what personal data we, Deep Sea Electronics Ltd (DSE), hold about you and how we collect and use it during and after the recruitment process.
Software Engineer: Imaging Systems; C++ / AI-enabled Job Type: Full Time Location: St Leonards on Sea, East Sussex 23rd Apr, 2026 Introduction Photonic Science & Engineering Limited (PSEL) is a leading specialist imaging equipment manufacturer of high-performance digital cameras and detector systems covering the spectrum from X-ray, visible, Short-Wave Infrared (SWIR) and neutron detection. The company is based in St Leonards on Sea, East Sussex and has around 30 employees. PSEL is part of the Tibidabo Scientific Industries group of companies. The Role PSEL is seeking the right individual to join its small multidisciplinary software team. The role is required to support the development, maintenance and improvement of camera drivers, control software and related tools used across PSEL's imaging product range. The successful candidate will contribute to the continued development of robust software for current products, while also supporting longer-term improvements in software structure, reuse and standardisation, including contribution to the evolution of Vision Core as a broader software platform within the group. This role is primarily focused on backend and systems-level software development to ensure robust, maintainable and scalable camera control and driver infrastructure. This role would be well-suited to a recent graduate or early-career engineer looking to develop strong practical skills in a real-world engineering environment. Along with offering a high level of responsibility within a small team, this role would suit someone who values autonomy, practical problem solving and close collaboration with hardware and systems engineers. Reporting, Location & Travel This is a full-time, office-based role reporting to the R&D Manager as an individual contributor, with no line management responsibility. There may be an occasional requirement for travel, primarily to meet and collaborate with other Software/R&D functions within the Tibidabo Scientific Industries group. Key Responsibilities Responsibilities include, although are not limited to the following: Developing, maintaining and improving camera drivers and control software in C++ Supporting integration between hardware and software systems across PSEL products Creating, updating and maintaining acquisition, control and post-processing DLLs and related software tools Creating, updating and maintaining legacy/specialist software drivers for in-house testing and calibration Supporting the development and maintenance of camera control utilities and internal engineering tools Contributing to improvements in software structure, reuse, maintainability and scalability Supporting software testing, debugging and issue resolution for development, production and customer support activities Maintaining version control and documentation for software products Appropriate use of modern software development tools, including AI-assisted workflows where beneficial Supporting continual improvement activities within the Software team and the wider R&D function Contributing to the evolution of a structured and maintainable software architecture across products, with a focus on reuse, clarity and long-term supportability Debugging and improving existing software in complex, real-world systems where documentation or structure may be incomplete - this involves direct interaction with hardware systems (integration, testing and debugging), rather than purely software-based development, requiring debugging and problem-solving on unfamiliar or imperfect systems This role is site-based and not suitable for remote working, due to the requirement for direct interaction with hardware systems and engineering teams Successful candidates should be able to demonstrate the following relevant skills and competencies: A practical and methodical approach to problem solving through academic or personal projects Comfortable working both independently and as part of a small team Well organised, with good attention to detail Ability to communicate clearly in spoken and written English A positive and adaptable attitude, coupled with a willingness to learn Ability to work under time pressure while maintaining quality standards Ability to take ownership of software components through their full lifecycle, including deployment, support and continuous improvement Candidates should assess their suitability against the following essential and/or desirable requirements: Candidates should hold a degree in Software Engineering, Computer Science or a related discipline Strong C/C++ programming capability, including object-oriented programming, ideally to C+ standard or later Experience with MSVC and development of Windows-based DLLs and related software components We are looking for candidates with as many of the following skills as possible: Knowledge of Win32 API and low-level software integration Experience writing clear technical documentation, ideally including Doxygen-style API documentation Familiarity with version control systems such as Git and Bitbucket Knowledge of camera and data interfaces such as GenICam, eBUS, TISGRABBER, Camera Link, raw socket data transfer and serial communications Familiarity with cross-platform development tools such as Boost Knowledge of OpenCV or similar image processing libraries Experience with multithreaded software development Experience writing unit tests and supporting software quality assurance Familiarity with Jira or similar task-tracking tools Experience using AI-assisted software development tools such as GitHub Copilot, ChatGPT, Claude or similar Ability to critically assess, validate and refine AI-generated code and suggestions Demonstrable interest in improving development efficiency through modern tooling, automation and practical use of AI. Employee Benefits In return for a rewarding and fulfilling career, successful candidates can look forward to receiving a competitive salary, plus the following employee benefits: Holiday (Annual Leave Entitlement): Employees receive 25 days annual leave each year for use between January and December; this is in addition to Bank Holidays, of which there are typically eight. After five full holiday calendar years' service, leave entitlement increase to give 26 days. Pension Scheme: eligible employees will be automatically enrolled into the company's Group Personal Pension Scheme with Royal London after completing three months' service. The scheme is run on a salary sacrifice system with Pension contributions made at 6% Employer and 2% Employee, although employees may increase their contributions if they choose. Group Life Assurance: Employees are automatically enrolled into the Company's GLA scheme which pays 4x salary in the event of death in service. Income Protection Scheme: the Company provides an income protection scheme which pays up to 75% of an Employee's basic salary in the event of sickness or disability for more than 13 weeks. Employee Assistance Programme: the EAP is available to all Employees, providing free access to a confidential helpline for immediate help and support with any issues for Employees and their family, whether work related or personal. Private Healthcare: Employees are eligible to join the private medical insurance (PMI) scheme after 3 months service, with the company paying the full premium of single cover membership for employees. The scheme is considered as a taxable benefit. Employees can join the scheme at any time during their employment, with the option of extending cover to include a partner, children or family with the cost of extended cover deducted from month salary payments. Full details of the Employee Benefits are available upon provisional offer of employment.
24/06/2026
Full time
Software Engineer: Imaging Systems; C++ / AI-enabled Job Type: Full Time Location: St Leonards on Sea, East Sussex 23rd Apr, 2026 Introduction Photonic Science & Engineering Limited (PSEL) is a leading specialist imaging equipment manufacturer of high-performance digital cameras and detector systems covering the spectrum from X-ray, visible, Short-Wave Infrared (SWIR) and neutron detection. The company is based in St Leonards on Sea, East Sussex and has around 30 employees. PSEL is part of the Tibidabo Scientific Industries group of companies. The Role PSEL is seeking the right individual to join its small multidisciplinary software team. The role is required to support the development, maintenance and improvement of camera drivers, control software and related tools used across PSEL's imaging product range. The successful candidate will contribute to the continued development of robust software for current products, while also supporting longer-term improvements in software structure, reuse and standardisation, including contribution to the evolution of Vision Core as a broader software platform within the group. This role is primarily focused on backend and systems-level software development to ensure robust, maintainable and scalable camera control and driver infrastructure. This role would be well-suited to a recent graduate or early-career engineer looking to develop strong practical skills in a real-world engineering environment. Along with offering a high level of responsibility within a small team, this role would suit someone who values autonomy, practical problem solving and close collaboration with hardware and systems engineers. Reporting, Location & Travel This is a full-time, office-based role reporting to the R&D Manager as an individual contributor, with no line management responsibility. There may be an occasional requirement for travel, primarily to meet and collaborate with other Software/R&D functions within the Tibidabo Scientific Industries group. Key Responsibilities Responsibilities include, although are not limited to the following: Developing, maintaining and improving camera drivers and control software in C++ Supporting integration between hardware and software systems across PSEL products Creating, updating and maintaining acquisition, control and post-processing DLLs and related software tools Creating, updating and maintaining legacy/specialist software drivers for in-house testing and calibration Supporting the development and maintenance of camera control utilities and internal engineering tools Contributing to improvements in software structure, reuse, maintainability and scalability Supporting software testing, debugging and issue resolution for development, production and customer support activities Maintaining version control and documentation for software products Appropriate use of modern software development tools, including AI-assisted workflows where beneficial Supporting continual improvement activities within the Software team and the wider R&D function Contributing to the evolution of a structured and maintainable software architecture across products, with a focus on reuse, clarity and long-term supportability Debugging and improving existing software in complex, real-world systems where documentation or structure may be incomplete - this involves direct interaction with hardware systems (integration, testing and debugging), rather than purely software-based development, requiring debugging and problem-solving on unfamiliar or imperfect systems This role is site-based and not suitable for remote working, due to the requirement for direct interaction with hardware systems and engineering teams Successful candidates should be able to demonstrate the following relevant skills and competencies: A practical and methodical approach to problem solving through academic or personal projects Comfortable working both independently and as part of a small team Well organised, with good attention to detail Ability to communicate clearly in spoken and written English A positive and adaptable attitude, coupled with a willingness to learn Ability to work under time pressure while maintaining quality standards Ability to take ownership of software components through their full lifecycle, including deployment, support and continuous improvement Candidates should assess their suitability against the following essential and/or desirable requirements: Candidates should hold a degree in Software Engineering, Computer Science or a related discipline Strong C/C++ programming capability, including object-oriented programming, ideally to C+ standard or later Experience with MSVC and development of Windows-based DLLs and related software components We are looking for candidates with as many of the following skills as possible: Knowledge of Win32 API and low-level software integration Experience writing clear technical documentation, ideally including Doxygen-style API documentation Familiarity with version control systems such as Git and Bitbucket Knowledge of camera and data interfaces such as GenICam, eBUS, TISGRABBER, Camera Link, raw socket data transfer and serial communications Familiarity with cross-platform development tools such as Boost Knowledge of OpenCV or similar image processing libraries Experience with multithreaded software development Experience writing unit tests and supporting software quality assurance Familiarity with Jira or similar task-tracking tools Experience using AI-assisted software development tools such as GitHub Copilot, ChatGPT, Claude or similar Ability to critically assess, validate and refine AI-generated code and suggestions Demonstrable interest in improving development efficiency through modern tooling, automation and practical use of AI. Employee Benefits In return for a rewarding and fulfilling career, successful candidates can look forward to receiving a competitive salary, plus the following employee benefits: Holiday (Annual Leave Entitlement): Employees receive 25 days annual leave each year for use between January and December; this is in addition to Bank Holidays, of which there are typically eight. After five full holiday calendar years' service, leave entitlement increase to give 26 days. Pension Scheme: eligible employees will be automatically enrolled into the company's Group Personal Pension Scheme with Royal London after completing three months' service. The scheme is run on a salary sacrifice system with Pension contributions made at 6% Employer and 2% Employee, although employees may increase their contributions if they choose. Group Life Assurance: Employees are automatically enrolled into the Company's GLA scheme which pays 4x salary in the event of death in service. Income Protection Scheme: the Company provides an income protection scheme which pays up to 75% of an Employee's basic salary in the event of sickness or disability for more than 13 weeks. Employee Assistance Programme: the EAP is available to all Employees, providing free access to a confidential helpline for immediate help and support with any issues for Employees and their family, whether work related or personal. Private Healthcare: Employees are eligible to join the private medical insurance (PMI) scheme after 3 months service, with the company paying the full premium of single cover membership for employees. The scheme is considered as a taxable benefit. Employees can join the scheme at any time during their employment, with the option of extending cover to include a partner, children or family with the cost of extended cover deducted from month salary payments. Full details of the Employee Benefits are available upon provisional offer of employment.
2026 Technology Graduate Programme - Platform Engineer London About Man Group 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. Headquartered in London, we manage $228.7 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. About Man Group & Platform Engineering Man Group is a global, technology driven active investment management firm dedicated to delivering alpha and portfolio solutions for clients. At Man Group, technology and data are at the heart of everything we do, creating a dynamic environment where innovation meets investment management. We actively engage with the technology community by hosting and sponsoring events (PyData, Hackathons, DEV.BG), speaking at industry conferences and open sourcing technology; see Platform Engineering is the powerhouse behind our technology infrastructure. We equip investment teams with the tools to scale their strategies and operate effectively, from expansive data storage and high performance computing in our data centres to massive on premises database deployments and cutting edge end user devices. We are also responsible for keeping Man Group secure and automating infosec processes, ensuring seamless operations across the firm. About the programme Our Technology Graduate Programme begins with a 3 month bootcamp into software development followed by the opportunity to explore three Platform Engineering teams over two years: Python Platform, Infrastructure (Linux, Windows, Networks, Storage, Databases, Infosec), End User, and Architecture and Operations. You'll tackle impactful projects, receive formal training, gain mentorship from senior leaders and develop a thorough understanding of our business. Upon successfully completing the programme, you'll be well positioned to build a long term career at Man Group. What can you learn? Managing large internal data centres with tens of thousands of cores and hundreds of terabytes of memory, running Python at scale. Building and managing Man Group's infrastructure, both on premises and in the cloud, using technologies such as Python, .Net, Linux, Windows Server, Databases and Storage Systems. Writing software to automate infrastructure and creating flexible self service technology for thousands of users across Man Group. Maintaining reliable systems while administering petabyte scale storage and large GPU deployments. Operating and optimising global network interconnects within our data centres. Working closely with business stakeholders in a dynamic environment. Who are we looking for? Join us as an Associate Engineer in the Platform Engineering department and you'll be part of a team that builds and runs the platform powering Man Group's hedge funds. Key skills & experiences: Experience working with any of the following programming or scripting languages: C#, Java, Python, PowerShell, C++. Technical experience gained through open source maintenance, 2+ years of relevant industry experience, or as a recent graduate or currently studying for a degree in Computer Science, Engineering, Mathematics, Physics or related discipline. Understanding of how source control and continuous deployment workflows work with tools like git. Experience administering operating systems such as Linux, Windows or macOS and understanding of cloud technologies. Self organised with the ability to prioritise and effectively manage time across multiple projects. Excellent communication and problem solving skills. Exceptional troubleshooting skills. Self starter with a desire to learn and understand more about the business environment in which you work. If you don't meet every requirement but are excited about the role and can pass our tech test, we encourage you to apply. Even if your experience isn't a perfect match, you might be the right fit for this or other roles. Programme start date: Throughout 2026 Application process: CV Screen Online Technical Test Technical Interview Final Interview Benefits You will receive 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, additional benefits may include private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
24/06/2026
Full time
2026 Technology Graduate Programme - Platform Engineer London About Man Group 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. Headquartered in London, we manage $228.7 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. About Man Group & Platform Engineering Man Group is a global, technology driven active investment management firm dedicated to delivering alpha and portfolio solutions for clients. At Man Group, technology and data are at the heart of everything we do, creating a dynamic environment where innovation meets investment management. We actively engage with the technology community by hosting and sponsoring events (PyData, Hackathons, DEV.BG), speaking at industry conferences and open sourcing technology; see Platform Engineering is the powerhouse behind our technology infrastructure. We equip investment teams with the tools to scale their strategies and operate effectively, from expansive data storage and high performance computing in our data centres to massive on premises database deployments and cutting edge end user devices. We are also responsible for keeping Man Group secure and automating infosec processes, ensuring seamless operations across the firm. About the programme Our Technology Graduate Programme begins with a 3 month bootcamp into software development followed by the opportunity to explore three Platform Engineering teams over two years: Python Platform, Infrastructure (Linux, Windows, Networks, Storage, Databases, Infosec), End User, and Architecture and Operations. You'll tackle impactful projects, receive formal training, gain mentorship from senior leaders and develop a thorough understanding of our business. Upon successfully completing the programme, you'll be well positioned to build a long term career at Man Group. What can you learn? Managing large internal data centres with tens of thousands of cores and hundreds of terabytes of memory, running Python at scale. Building and managing Man Group's infrastructure, both on premises and in the cloud, using technologies such as Python, .Net, Linux, Windows Server, Databases and Storage Systems. Writing software to automate infrastructure and creating flexible self service technology for thousands of users across Man Group. Maintaining reliable systems while administering petabyte scale storage and large GPU deployments. Operating and optimising global network interconnects within our data centres. Working closely with business stakeholders in a dynamic environment. Who are we looking for? Join us as an Associate Engineer in the Platform Engineering department and you'll be part of a team that builds and runs the platform powering Man Group's hedge funds. Key skills & experiences: Experience working with any of the following programming or scripting languages: C#, Java, Python, PowerShell, C++. Technical experience gained through open source maintenance, 2+ years of relevant industry experience, or as a recent graduate or currently studying for a degree in Computer Science, Engineering, Mathematics, Physics or related discipline. Understanding of how source control and continuous deployment workflows work with tools like git. Experience administering operating systems such as Linux, Windows or macOS and understanding of cloud technologies. Self organised with the ability to prioritise and effectively manage time across multiple projects. Excellent communication and problem solving skills. Exceptional troubleshooting skills. Self starter with a desire to learn and understand more about the business environment in which you work. If you don't meet every requirement but are excited about the role and can pass our tech test, we encourage you to apply. Even if your experience isn't a perfect match, you might be the right fit for this or other roles. Programme start date: Throughout 2026 Application process: CV Screen Online Technical Test Technical Interview Final Interview Benefits You will receive 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, additional benefits may include private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
Role - Associate Landscape Architect Location - Edinburgh Salary - £45 - 55K DOE Our client, an established multidisciplinary consultancy is looking for an Associate Landscape Architect to join a dynamic and expanding team. The role offers an excellent opportunity to contribute to a wide range of projects that shape both the built and natural environment with creative, sustainable landscape solutions. As an Associate Landscape Architect, you will play a key role in delivering high-quality landscape design and planning services from concept through to delivery. You will be part of a collaborative team delivering projects across sectors such as residential, urban regeneration, public realm, infrastructure, and environmental improvement. Associate Landscape Architect Key Responsibilities Lead and contribute to landscape design projects, including preliminary design, concept development, detailed design, and technical documentation Prepare landscape proposals that support planning submissions and planning policy requirements Produce drawings, schedules, plans, hard and soft landscape specifications, and visual materials Collaborate with multidisciplinary teams including planners, architects, ecologists, and engineers to integrate landscape considerations into broader project design Engage with clients, statutory consultees, and stakeholders throughout project stages Provide technical advice and design input in line with sustainable, context-sensitive design principles About you Degree or postgraduate qualification in Landscape Architecture Proven experience in landscape design within a professional consultancy or similar environment A Chartered Member of the Landscape Institute (CMLI) Strong technical skills in design software Ability to produce high quality design drawings and clear technical reports Excellent communication, presentation, and interpersonal skills Understanding of UK planning policy and guidance relevant to landscape and urban design would be advantageous A passion for sustainable design, environmental stewardship, and collaborative problem solving On Offer The successful Associate Landscape Architect will join a friendly, people-focused team that genuinely supports professional development and career progression. They'll have access to training, mentoring, and the chance to work on a wide variety of projects across different sectors and scales, helping them continue to grow their skills and experience. The role offers a competitive salary The next step If you are interested in this Associate Landscape Architect role or any other similar opportunities, please click apply and upload your CV, or contact Adam Johnston on to find out what else may be out there. All applications will remain completely confidential between yourself and Adam Johnston. You will not be added to any mailing lists and rest assured your details would NOT be passed on to anyone without your prior authorisation. Additionally, please connect on LinkedIn to stay updated on the latest news.
24/06/2026
Full time
Role - Associate Landscape Architect Location - Edinburgh Salary - £45 - 55K DOE Our client, an established multidisciplinary consultancy is looking for an Associate Landscape Architect to join a dynamic and expanding team. The role offers an excellent opportunity to contribute to a wide range of projects that shape both the built and natural environment with creative, sustainable landscape solutions. As an Associate Landscape Architect, you will play a key role in delivering high-quality landscape design and planning services from concept through to delivery. You will be part of a collaborative team delivering projects across sectors such as residential, urban regeneration, public realm, infrastructure, and environmental improvement. Associate Landscape Architect Key Responsibilities Lead and contribute to landscape design projects, including preliminary design, concept development, detailed design, and technical documentation Prepare landscape proposals that support planning submissions and planning policy requirements Produce drawings, schedules, plans, hard and soft landscape specifications, and visual materials Collaborate with multidisciplinary teams including planners, architects, ecologists, and engineers to integrate landscape considerations into broader project design Engage with clients, statutory consultees, and stakeholders throughout project stages Provide technical advice and design input in line with sustainable, context-sensitive design principles About you Degree or postgraduate qualification in Landscape Architecture Proven experience in landscape design within a professional consultancy or similar environment A Chartered Member of the Landscape Institute (CMLI) Strong technical skills in design software Ability to produce high quality design drawings and clear technical reports Excellent communication, presentation, and interpersonal skills Understanding of UK planning policy and guidance relevant to landscape and urban design would be advantageous A passion for sustainable design, environmental stewardship, and collaborative problem solving On Offer The successful Associate Landscape Architect will join a friendly, people-focused team that genuinely supports professional development and career progression. They'll have access to training, mentoring, and the chance to work on a wide variety of projects across different sectors and scales, helping them continue to grow their skills and experience. The role offers a competitive salary The next step If you are interested in this Associate Landscape Architect role or any other similar opportunities, please click apply and upload your CV, or contact Adam Johnston on to find out what else may be out there. All applications will remain completely confidential between yourself and Adam Johnston. You will not be added to any mailing lists and rest assured your details would NOT be passed on to anyone without your prior authorisation. Additionally, please connect on LinkedIn to stay updated on the latest news.
Job Description Provide expert support across Electrical systems for a range of Hitachi fleets, ensuring reliable and high performing operations. You will undertake root cause analysis of engineering issues, developing a thorough understanding of faults and identifying effective mitigations alongside long term corrective actions. The role will also involve progressing these solutions through to implementation readiness, supporting the successful delivery of improvements across the fleet. Your new role This role can be based from any of our UK locations. Working as part of the Service and Maintenance Central Engineering team, the successful applicant will: Be responsible for an assigned set of electrical systems (where possible, the systems will be assigned appropriate to existing experience, while bearing in mind the skill set of the other members of the team, too); Provide detailed engineering analysis of the assigned systems, as appropriate to any in service issues identified on the trains, and work towards containment of the issue, root cause analysis, and subsequent long term corrective action; Write clear, detailed technical reports on any investigations carried out, including details of subsequent actions and any recommendations; Support technical teams at depots in respect of the assigned systems; Progress corrective actions through the Change Approval Process, ready for implementation on the appropriate fleets, to include appropriate documentation and evidence; Support relevant hardware and software development, as appropriate; Assist as needed in the creation or amendment of documents for maintenance and overhaul activities of the assigned systems; Develop and maintain good working relationships with suppliers as appropriate to the issues under investigation; Follow and, where appropriate, assist in the development of relevant procedures to ensure smooth progression of work; Develop a good working relationship with the Engineers in the Project Engineering team based in London, who are responsible for trains before service delivery; Develop a good working relationship with Hitachi colleagues in Mito, Japan; Support learning and development within the Service and Maintenance team, including the development of Graduate Engineers; Ensure adequate levels of Health, Safety and Environmental concerns are maintained in all aspects of their work and in accordance with company policies. Key Skills & Experience Essential Requirements Engineering degree, or the ability to demonstrate degree level working; Excellent knowledge of any electrical systems, both technically and operationally; Comfortable with 'hands on' engineering for on train investigations when needed; Ability to work with minimal supervision, to clear targets and deliverables, and within a tight project support environment; Ability to work under own initiative; Good English written skills; Ability to communicate clearly and effectively, both orally and in writing; Commitment to working as part of a team; Commitment to the effective implementation of equal opportunities policies; Sound understanding of health and safety requirements in a practical working environment. Desirable Requirements Experience in the Railway Industry; Knowledge of the UK Railway Operations and Engineering Safety Management System; Yellow Book Course and/or Common Safety Method Course, or similar; Chartered, or working towards Chartered status. Applications from candidates of any level of relevant experience will be considered. The right person for the team will be given training and support to suit their experience. What we offer Competitive salary 25 days holiday Potential opportunity for annual performance related bonus Pension scheme with contributions up to 9% Private medical insurance Personal Accident insurance Group Income protection Group Life Insurance Employee Assistance Programme Closing date for applications is 30th June 2026. At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.
24/06/2026
Full time
Job Description Provide expert support across Electrical systems for a range of Hitachi fleets, ensuring reliable and high performing operations. You will undertake root cause analysis of engineering issues, developing a thorough understanding of faults and identifying effective mitigations alongside long term corrective actions. The role will also involve progressing these solutions through to implementation readiness, supporting the successful delivery of improvements across the fleet. Your new role This role can be based from any of our UK locations. Working as part of the Service and Maintenance Central Engineering team, the successful applicant will: Be responsible for an assigned set of electrical systems (where possible, the systems will be assigned appropriate to existing experience, while bearing in mind the skill set of the other members of the team, too); Provide detailed engineering analysis of the assigned systems, as appropriate to any in service issues identified on the trains, and work towards containment of the issue, root cause analysis, and subsequent long term corrective action; Write clear, detailed technical reports on any investigations carried out, including details of subsequent actions and any recommendations; Support technical teams at depots in respect of the assigned systems; Progress corrective actions through the Change Approval Process, ready for implementation on the appropriate fleets, to include appropriate documentation and evidence; Support relevant hardware and software development, as appropriate; Assist as needed in the creation or amendment of documents for maintenance and overhaul activities of the assigned systems; Develop and maintain good working relationships with suppliers as appropriate to the issues under investigation; Follow and, where appropriate, assist in the development of relevant procedures to ensure smooth progression of work; Develop a good working relationship with the Engineers in the Project Engineering team based in London, who are responsible for trains before service delivery; Develop a good working relationship with Hitachi colleagues in Mito, Japan; Support learning and development within the Service and Maintenance team, including the development of Graduate Engineers; Ensure adequate levels of Health, Safety and Environmental concerns are maintained in all aspects of their work and in accordance with company policies. Key Skills & Experience Essential Requirements Engineering degree, or the ability to demonstrate degree level working; Excellent knowledge of any electrical systems, both technically and operationally; Comfortable with 'hands on' engineering for on train investigations when needed; Ability to work with minimal supervision, to clear targets and deliverables, and within a tight project support environment; Ability to work under own initiative; Good English written skills; Ability to communicate clearly and effectively, both orally and in writing; Commitment to working as part of a team; Commitment to the effective implementation of equal opportunities policies; Sound understanding of health and safety requirements in a practical working environment. Desirable Requirements Experience in the Railway Industry; Knowledge of the UK Railway Operations and Engineering Safety Management System; Yellow Book Course and/or Common Safety Method Course, or similar; Chartered, or working towards Chartered status. Applications from candidates of any level of relevant experience will be considered. The right person for the team will be given training and support to suit their experience. What we offer Competitive salary 25 days holiday Potential opportunity for annual performance related bonus Pension scheme with contributions up to 9% Private medical insurance Personal Accident insurance Group Income protection Group Life Insurance Employee Assistance Programme Closing date for applications is 30th June 2026. At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.
WSP in Leeds is seeking a candidate to contribute to various development projects, ensuring tasks are delivered to high standards. You will engage with clients and stakeholders, working on planning applications and technical approvals. The ideal applicant will have postgraduate experience or equivalent, knowledge of highway and drainage design, and familiarity with relevant software like AutoCAD and Civil 3D. A passion for sustainable development is essential.
24/06/2026
Full time
WSP in Leeds is seeking a candidate to contribute to various development projects, ensuring tasks are delivered to high standards. You will engage with clients and stakeholders, working on planning applications and technical approvals. The ideal applicant will have postgraduate experience or equivalent, knowledge of highway and drainage design, and familiarity with relevant software like AutoCAD and Civil 3D. A passion for sustainable development is essential.
At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching And measure your progress in milliseconds And play your part in racing history You belong here. High performance starts with you. Purpose of the Role: We are looking for a High Performance Computing (HPC) Systems Engineer to join our HPC team and help maintain a high end service that meet the very demanding requirements of the McLaren Racing's computational engineering environment. This includes managing and optimising advanced computing environments that support Computational Fluid Dynamics (CFD), FEA (Finite Element Analysis), simulation, AI workloads and other advanced technologies. This is an opportunity to work in a fast paced, innovative high technology environment, focussing on pure performance and exploring a diverse range of new hardware and software technologies in supercomputing. This role is primarily infrastructure based, although the team provide a wide range of services including software development, there could be opportunities to move in the future. If you are an IT Graduate looking for your first role in IT Infrastructure, Linux Enthusiast, or Linux Systems Administrator looking to broaden your skill set, or make a move into high performance computing this role might be of interest to you. Principal Accountabilities: Responsible for the day to day operational support of the McLaren Racing HPC estate: manage and solve any hardware and software issues that may arise. (Systems Administration) Assist in hardware and software upgrade programmes to implement new technologies. Identify bottlenecks and assist in maximising performance of our HPC applications. Provide Linux advice and support to Racing engineers and HPC users. Keep abreast of latest HPC and industry developments and investigate the suitability of newly available technologies, including but not limited to: new CPU/GPU technologies, HMB, memory and high speed interconnects, web based software technologies and parallel high performance computing application tuning & optimization. Knowledge areas, Skills and Experience: Knowledge of Linux (Mandatory) Knowledge of HPC hardware including clusters, storage and interconnects HPC/Linux system and package management tools Administration and use of HPC batch job schedulers. Computer architecture, CPU, GPU, Memory and I/O subsystem knowledge Strong python and/or shell scripting and debugging Storage knowledge, HPC parallel file system and general file sharing protocols Networking skills Knowledge and experience of Virtualisation & Visualisation (VDI) System and infrastructure monitoring tools Developed and maintained automation using DevOps/CI tools and processes Familiar with databases: both SQL and no SQL Documentation skills Personal Attributes: Degree in related subject such as Computer Science, or industry certification Have excellent problem-solving skills and analytical approach, with attention to detail. Self starter, able to identify requirements independently, then make proposals for solutions. A team player but with the initiative to make own decisions and work with minimal supervision. Aptitude to learn from others, share knowledge with others, and promote continuous improvement of our processes. High level of personal commitment, occasional availability on weekends and out of hours may be required. Good communication skills. What can McLaren offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace. McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Here at McLaren, we offer hybrid working with 3 days a week based in the MTC. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
24/06/2026
Full time
At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching And measure your progress in milliseconds And play your part in racing history You belong here. High performance starts with you. Purpose of the Role: We are looking for a High Performance Computing (HPC) Systems Engineer to join our HPC team and help maintain a high end service that meet the very demanding requirements of the McLaren Racing's computational engineering environment. This includes managing and optimising advanced computing environments that support Computational Fluid Dynamics (CFD), FEA (Finite Element Analysis), simulation, AI workloads and other advanced technologies. This is an opportunity to work in a fast paced, innovative high technology environment, focussing on pure performance and exploring a diverse range of new hardware and software technologies in supercomputing. This role is primarily infrastructure based, although the team provide a wide range of services including software development, there could be opportunities to move in the future. If you are an IT Graduate looking for your first role in IT Infrastructure, Linux Enthusiast, or Linux Systems Administrator looking to broaden your skill set, or make a move into high performance computing this role might be of interest to you. Principal Accountabilities: Responsible for the day to day operational support of the McLaren Racing HPC estate: manage and solve any hardware and software issues that may arise. (Systems Administration) Assist in hardware and software upgrade programmes to implement new technologies. Identify bottlenecks and assist in maximising performance of our HPC applications. Provide Linux advice and support to Racing engineers and HPC users. Keep abreast of latest HPC and industry developments and investigate the suitability of newly available technologies, including but not limited to: new CPU/GPU technologies, HMB, memory and high speed interconnects, web based software technologies and parallel high performance computing application tuning & optimization. Knowledge areas, Skills and Experience: Knowledge of Linux (Mandatory) Knowledge of HPC hardware including clusters, storage and interconnects HPC/Linux system and package management tools Administration and use of HPC batch job schedulers. Computer architecture, CPU, GPU, Memory and I/O subsystem knowledge Strong python and/or shell scripting and debugging Storage knowledge, HPC parallel file system and general file sharing protocols Networking skills Knowledge and experience of Virtualisation & Visualisation (VDI) System and infrastructure monitoring tools Developed and maintained automation using DevOps/CI tools and processes Familiar with databases: both SQL and no SQL Documentation skills Personal Attributes: Degree in related subject such as Computer Science, or industry certification Have excellent problem-solving skills and analytical approach, with attention to detail. Self starter, able to identify requirements independently, then make proposals for solutions. A team player but with the initiative to make own decisions and work with minimal supervision. Aptitude to learn from others, share knowledge with others, and promote continuous improvement of our processes. High level of personal commitment, occasional availability on weekends and out of hours may be required. Good communication skills. What can McLaren offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace. McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Here at McLaren, we offer hybrid working with 3 days a week based in the MTC. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Senior HPC Systems Administrator We are seeking a full-time Senior HPC Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the internationally recognised Visual Geometry Group (VGG) and the Foerster Lab for AI Research. This post is fixed-term until 30th April 2030. This is an exciting opportunity for an experienced systems professional to lead the development, administration, and strategic evolution of the group's high performance computing (HPC) infrastructure supporting cutting edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large scale HPC systems, including CPU and GPU clusters, high performance storage, and advanced networking technologies. The postholder will work closely with academic researchers, software engineers, and departmental IT teams to ensure robust, scalable, and secure computational infrastructure capable of supporting world leading research in machine learning and visual computing. You will possess extensive experience in Linux systems administration and HPC environments, together with strong technical expertise in cluster management, storage systems, networking, scripting, and infrastructure automation. Experience with GPU computing environments, containerisation technologies, cloud platforms, and scientific software environments will be highly desirable. The role also requires excellent communication skills and the ability to collaborate effectively with both technical and non technical stakeholders. Responsibilities Designing, building, and maintaining HPC clusters and associated infrastructure Managing Linux compute and storage environments Supporting GPU enabled research computing systems Maintaining high performance storage and backup solutions Monitoring system performance, security, and availability Supporting and mentoring researchers, software engineers, and postgraduate students Developing documentation, training materials, and operational best practices Collaborating with departmental and university wide research IT teams Evaluating and deploying new technologies to support evolving research requirements The successful candidate will work under the direction of the departmental HPC Support Architect, with approximately 20% of their time allocated to broader departmental infrastructure activities. Essential Skills and Experience Degree in Computer Science, Engineering, or a related technical discipline Extensive experience managing HPC infrastructure in research or technical environments Experience with GPU servers and high performance networking technologies Experience with scripting and automation (e.g. Bash, Python) Knowledge of storage systems and backup/archive procedures Strong troubleshooting and systems integration skills Excellent written and verbal communication abilities Ability to work independently and collaboratively in a research environment Experience with SLURM or other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high performance file systems such as BeeGFS or Lustre The Department holds an Athena Swan Bronze Award, recognising its commitment to advancing gender equality and supporting an inclusive working environment.
24/06/2026
Full time
Senior HPC Systems Administrator We are seeking a full-time Senior HPC Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the internationally recognised Visual Geometry Group (VGG) and the Foerster Lab for AI Research. This post is fixed-term until 30th April 2030. This is an exciting opportunity for an experienced systems professional to lead the development, administration, and strategic evolution of the group's high performance computing (HPC) infrastructure supporting cutting edge AI, computer vision, and multimodal learning research. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large scale HPC systems, including CPU and GPU clusters, high performance storage, and advanced networking technologies. The postholder will work closely with academic researchers, software engineers, and departmental IT teams to ensure robust, scalable, and secure computational infrastructure capable of supporting world leading research in machine learning and visual computing. You will possess extensive experience in Linux systems administration and HPC environments, together with strong technical expertise in cluster management, storage systems, networking, scripting, and infrastructure automation. Experience with GPU computing environments, containerisation technologies, cloud platforms, and scientific software environments will be highly desirable. The role also requires excellent communication skills and the ability to collaborate effectively with both technical and non technical stakeholders. Responsibilities Designing, building, and maintaining HPC clusters and associated infrastructure Managing Linux compute and storage environments Supporting GPU enabled research computing systems Maintaining high performance storage and backup solutions Monitoring system performance, security, and availability Supporting and mentoring researchers, software engineers, and postgraduate students Developing documentation, training materials, and operational best practices Collaborating with departmental and university wide research IT teams Evaluating and deploying new technologies to support evolving research requirements The successful candidate will work under the direction of the departmental HPC Support Architect, with approximately 20% of their time allocated to broader departmental infrastructure activities. Essential Skills and Experience Degree in Computer Science, Engineering, or a related technical discipline Extensive experience managing HPC infrastructure in research or technical environments Experience with GPU servers and high performance networking technologies Experience with scripting and automation (e.g. Bash, Python) Knowledge of storage systems and backup/archive procedures Strong troubleshooting and systems integration skills Excellent written and verbal communication abilities Ability to work independently and collaboratively in a research environment Experience with SLURM or other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high performance file systems such as BeeGFS or Lustre The Department holds an Athena Swan Bronze Award, recognising its commitment to advancing gender equality and supporting an inclusive working environment.
Graduate Cloud Operations Engineer - Newcastle About the Role At Sage, innovation starts with our people. With over 13,000 colleagues across 40 locations worldwide, supporting over 2 million customers, we're united by a shared purpose: to transform the way millions of businesses work. As a global leader in AI, finance and HR software, we harness cutting edge technology and forward thinking ideas to simplify complexity and drive progress. At Sage, you'll join a high achieving culture that values creativity, collaboration, and continuous learning-because together, we're shaping the future of business software. Start your career with Sage in the UK and make an impact from day one. Our ethos is simple: to help businesses thrive so they can support their communities and drive economic progress. At Sage, you'll find a high performing environment where your ideas matter, your growth is encouraged, and your work will add value from day one. Start your journey with us and help shape the future of business across the UK and beyond. Why join Sage as a graduate? At Sage, we believe your career should start with opportunity, growth, and purpose. As a graduate, you'll benefit from structured training and development programs designed to build your skills and confidence from day one. You'll also have access to Sage Foundation, our global initiative that gives you five paid volunteer days each year to make a positive impact in your community. You'll join exceptional teams where you will have the chance to learn from experts, connect with peers, and grow a global professional network. At Sage, we're committed to helping you shape your future, offering clear career pathways and opportunities to innovate and make a real difference. Please note that this is a hybrid role with a minimum of 3 days in the office per week. Key Responsibilities What will you be involved in? As a Graduate Cloud Operations Engineer, you'll join a structured 2 year development programme designed to build versatile cloud professionals who understand our operational ecosystem. Through a combination of hands on delivery, mentorship, and exposure to different teams and disciplines, you'll develop the skills and breadth of experience needed to launch a career in enterprise cloud operations. You will spend significant time in our Cloud Operations Engineering team and will be involved in: Building hands on skills deploying, administering, monitoring, and automating infrastructure across AWS and Azure Ensuring service excellence by maintaining the availability, performance, and security of Sage's cloud products used by thousands of customers daily Working with cutting edge technologies including containerisation, serverless architectures, infrastructure as code, and premium AI tools like GitHub Copilot Developing critical incident management skills as part of our 24/7 operation, participating in on call rotation with full support and clear escalation paths Driving automation and improve operational efficiency by identifying manual processes and building solutions in a DevOps environment, collaborating closely with Product Delivery and Global Security teams Rotations could include time in the following teams: Governance Gaining insight into how cloud spend is managed, how supplier relationships shape our platform, and how security and compliance considerations influence operational decisions. Architecture Learning how Technical Architects approach cloud service design, architectural reviews, vendor alignment, and tooling standards. Tooling & Automation Seeing how strategic tooling initiatives and automation solutions enhance productivity, and how emerging technologies and AI capabilities are evaluated and adopted. Site Reliability Engineering Understanding how SLOs, error budgets, and data driven reliability practices are used to build self healing, resilient systems. Service Centre Experiencing how incidents are triaged, changes are managed, and visibility is maintained across our product portfolio through our 24 7 monitoring operation. This programme is designed to give you meaningful, hands on experience from day one, with the support and space to learn, ask questions and grow, helping you build the skills, confidence and experience needed for a long term career in Cloud Operations. Eligibility Requirements To be eligible for this role, you'll need to have a Computer Science Degree (or equivalent) alongside: Foundational knowledge of cloud computing concepts and awareness of AWS and Azure with curiosity to learn more An understanding of the importance of security, reliability and availability in cloud based systems The aptitude and motivation to learn new technologies A proactive approach to spotting issues early and improving how systems are run and supported Comfort working in an operational environment, including responding to incidents and learning from them Excellent interpersonal and communication skills, able to work effectively with colleagues across the globe Experience of using AI, and an interest in continuous development of AI skills as the technology evolves What You Can Expect from the Process Apply online with your CV Complete screening and video interview (You will receive a link to complete a video interview within 1 week of applying) If successful at video interview stage, you will be invited to attend an assessment centre Successful candidates will join us in June or October 2026 Here at Sage, we are committed to inclusivity for all, so if there any adjustments that would help you thrive in the application process or beyond, please reach out to us at Benefits of Working at Sage 25 days holiday + bank holidays from day one Paid time to learn (5 learning days a year) Paid time to give back (5 volunteering days a year) Private healthcare, digital GP & wellbeing support Competitive pension with Sage contributions Paid parental leave, inclusive from day one Work from abroad for up to 10 weeks a year Discounts on tech, travel, gyms and more Cycle to Work and EV schemes Function: Cloud Operations Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid Working at Sage Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at .
24/06/2026
Full time
Graduate Cloud Operations Engineer - Newcastle About the Role At Sage, innovation starts with our people. With over 13,000 colleagues across 40 locations worldwide, supporting over 2 million customers, we're united by a shared purpose: to transform the way millions of businesses work. As a global leader in AI, finance and HR software, we harness cutting edge technology and forward thinking ideas to simplify complexity and drive progress. At Sage, you'll join a high achieving culture that values creativity, collaboration, and continuous learning-because together, we're shaping the future of business software. Start your career with Sage in the UK and make an impact from day one. Our ethos is simple: to help businesses thrive so they can support their communities and drive economic progress. At Sage, you'll find a high performing environment where your ideas matter, your growth is encouraged, and your work will add value from day one. Start your journey with us and help shape the future of business across the UK and beyond. Why join Sage as a graduate? At Sage, we believe your career should start with opportunity, growth, and purpose. As a graduate, you'll benefit from structured training and development programs designed to build your skills and confidence from day one. You'll also have access to Sage Foundation, our global initiative that gives you five paid volunteer days each year to make a positive impact in your community. You'll join exceptional teams where you will have the chance to learn from experts, connect with peers, and grow a global professional network. At Sage, we're committed to helping you shape your future, offering clear career pathways and opportunities to innovate and make a real difference. Please note that this is a hybrid role with a minimum of 3 days in the office per week. Key Responsibilities What will you be involved in? As a Graduate Cloud Operations Engineer, you'll join a structured 2 year development programme designed to build versatile cloud professionals who understand our operational ecosystem. Through a combination of hands on delivery, mentorship, and exposure to different teams and disciplines, you'll develop the skills and breadth of experience needed to launch a career in enterprise cloud operations. You will spend significant time in our Cloud Operations Engineering team and will be involved in: Building hands on skills deploying, administering, monitoring, and automating infrastructure across AWS and Azure Ensuring service excellence by maintaining the availability, performance, and security of Sage's cloud products used by thousands of customers daily Working with cutting edge technologies including containerisation, serverless architectures, infrastructure as code, and premium AI tools like GitHub Copilot Developing critical incident management skills as part of our 24/7 operation, participating in on call rotation with full support and clear escalation paths Driving automation and improve operational efficiency by identifying manual processes and building solutions in a DevOps environment, collaborating closely with Product Delivery and Global Security teams Rotations could include time in the following teams: Governance Gaining insight into how cloud spend is managed, how supplier relationships shape our platform, and how security and compliance considerations influence operational decisions. Architecture Learning how Technical Architects approach cloud service design, architectural reviews, vendor alignment, and tooling standards. Tooling & Automation Seeing how strategic tooling initiatives and automation solutions enhance productivity, and how emerging technologies and AI capabilities are evaluated and adopted. Site Reliability Engineering Understanding how SLOs, error budgets, and data driven reliability practices are used to build self healing, resilient systems. Service Centre Experiencing how incidents are triaged, changes are managed, and visibility is maintained across our product portfolio through our 24 7 monitoring operation. This programme is designed to give you meaningful, hands on experience from day one, with the support and space to learn, ask questions and grow, helping you build the skills, confidence and experience needed for a long term career in Cloud Operations. Eligibility Requirements To be eligible for this role, you'll need to have a Computer Science Degree (or equivalent) alongside: Foundational knowledge of cloud computing concepts and awareness of AWS and Azure with curiosity to learn more An understanding of the importance of security, reliability and availability in cloud based systems The aptitude and motivation to learn new technologies A proactive approach to spotting issues early and improving how systems are run and supported Comfort working in an operational environment, including responding to incidents and learning from them Excellent interpersonal and communication skills, able to work effectively with colleagues across the globe Experience of using AI, and an interest in continuous development of AI skills as the technology evolves What You Can Expect from the Process Apply online with your CV Complete screening and video interview (You will receive a link to complete a video interview within 1 week of applying) If successful at video interview stage, you will be invited to attend an assessment centre Successful candidates will join us in June or October 2026 Here at Sage, we are committed to inclusivity for all, so if there any adjustments that would help you thrive in the application process or beyond, please reach out to us at Benefits of Working at Sage 25 days holiday + bank holidays from day one Paid time to learn (5 learning days a year) Paid time to give back (5 volunteering days a year) Private healthcare, digital GP & wellbeing support Competitive pension with Sage contributions Paid parental leave, inclusive from day one Work from abroad for up to 10 weeks a year Discounts on tech, travel, gyms and more Cycle to Work and EV schemes Function: Cloud Operations Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid Working at Sage Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at .
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day You'll work within an engineering squad and take part in every stage of the project delivery lifecycle, including: Being hands on with the technical delivery of the project. As a technical leader, you'll be writing code (of course), while also setting the standard in terms of engineering quality for your colleagues. Working directly with clients to understand their needs and recommend appropriate solutions. Owning the delivery of client projects, from discovery to completion and handover. Leading sprint planning sessions, retrospectives and code reviews. Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, and implementation details. Helping to grow the team by taking part in hiring and interviewing. Helping to write proposals for new clients, and participating in the technical side of the sales process. Supporting your team members' personal development objectives within client projects. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. At least 3 years of experience writing and deploying production grade Python. Experience managing and mentoring software engineers. Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure as code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE / editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. Excellent communication skills; both in customer facing and internal team communication. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.
24/06/2026
Full time
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day You'll work within an engineering squad and take part in every stage of the project delivery lifecycle, including: Being hands on with the technical delivery of the project. As a technical leader, you'll be writing code (of course), while also setting the standard in terms of engineering quality for your colleagues. Working directly with clients to understand their needs and recommend appropriate solutions. Owning the delivery of client projects, from discovery to completion and handover. Leading sprint planning sessions, retrospectives and code reviews. Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, and implementation details. Helping to grow the team by taking part in hiring and interviewing. Helping to write proposals for new clients, and participating in the technical side of the sales process. Supporting your team members' personal development objectives within client projects. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. At least 3 years of experience writing and deploying production grade Python. Experience managing and mentoring software engineers. Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure as code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE / editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. Excellent communication skills; both in customer facing and internal team communication. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day Our engineers collaborate closely with their team leads and the customer to design and implement high quality solutions. We encourage our senior engineers to work with a high degree of autonomy and own workstreams across every stage of the project delivery lifecycle, including: Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes leading demos and participating in workshops and training sessions. Designing and implementing features and full workstreams to a high standard of engineering, including good documentation and automated testing. Contributing to sprint planning, retrospectives and code reviews, working with your team lead to design systems and plan their implementation. Ensuring our high engineering standards are maintained and our clients are delighted. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing our learnings with the team. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker, and common open-source MLOps tools. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid-working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.
24/06/2026
Full time
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day Our engineers collaborate closely with their team leads and the customer to design and implement high quality solutions. We encourage our senior engineers to work with a high degree of autonomy and own workstreams across every stage of the project delivery lifecycle, including: Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes leading demos and participating in workshops and training sessions. Designing and implementing features and full workstreams to a high standard of engineering, including good documentation and automated testing. Contributing to sprint planning, retrospectives and code reviews, working with your team lead to design systems and plan their implementation. Ensuring our high engineering standards are maintained and our clients are delighted. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing our learnings with the team. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker, and common open-source MLOps tools. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid-working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.
Job Title:Software Engineer Location:Newcastle Upon Tyne Salary:Up to £100,000 Working Pattern:Onsite Opportunities are available across multiple levels, from graduate through to senior, making this an excellent fit whether you're just starting out or looking to step up in your career. This is a rare chance for a C# Software Engineer to join a scaling consultancy with a wide range of clients, a high-calibre team, and a high bar to match. The Role You'll be hands-on across backend development, owning projects end-to-end from day one. This is a place where you'll take on real responsibility early and continue to grow alongside some strong engineers. Requirements Strong C#/.NET development experience Solid understanding of software architecture, design patterns and system design SC Clearance or Eligible for clearance Experience in a consultancy or client-facing environment If this role is of interest, please apply below. JBRP1_UKTJ
24/06/2026
Full time
Job Title:Software Engineer Location:Newcastle Upon Tyne Salary:Up to £100,000 Working Pattern:Onsite Opportunities are available across multiple levels, from graduate through to senior, making this an excellent fit whether you're just starting out or looking to step up in your career. This is a rare chance for a C# Software Engineer to join a scaling consultancy with a wide range of clients, a high-calibre team, and a high bar to match. The Role You'll be hands-on across backend development, owning projects end-to-end from day one. This is a place where you'll take on real responsibility early and continue to grow alongside some strong engineers. Requirements Strong C#/.NET development experience Solid understanding of software architecture, design patterns and system design SC Clearance or Eligible for clearance Experience in a consultancy or client-facing environment If this role is of interest, please apply below. JBRP1_UKTJ
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day Our engineers collaborate closely with their team leads and the customer to design and implement high quality solutions. We encourage our senior engineers to work with a high degree of autonomy and own workstreams across every stage of the project delivery lifecycle, including: Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes leading demos and participating in workshops and training sessions. Designing and implementing features and full workstreams to a high standard of engineering, including good documentation and automated testing. Contributing to sprint planning, retrospectives and code reviews, working with your team lead to design systems and plan their implementation. Ensuring our high engineering standards are maintained and our clients are delighted. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing our learnings with the team. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker, and common open-source MLOps tools. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid-working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.
24/06/2026
Full time
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact. We've had considerable growth over the last few years and we're looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we're looking for The ideal candidate will be motivated to grow and progress in line with the company's ambitions: we're looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride in our work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater than the sum of parts: we are a team, one that isn't just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day Our engineers collaborate closely with their team leads and the customer to design and implement high quality solutions. We encourage our senior engineers to work with a high degree of autonomy and own workstreams across every stage of the project delivery lifecycle, including: Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes leading demos and participating in workshops and training sessions. Designing and implementing features and full workstreams to a high standard of engineering, including good documentation and automated testing. Contributing to sprint planning, retrospectives and code reviews, working with your team lead to design systems and plan their implementation. Ensuring our high engineering standards are maintained and our clients are delighted. Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing our learnings with the team. As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You'll have the opportunity to craft your own voice in the MLOps community through R&D content. Skills and Experience Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge and exploring new and emerging technologies. If you get excited about keeping up with the newest machine learning research, or figuring out how to scale generative models in the cloud, then you'll fit right in. Some of the skills and experience we look for include: An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree. A passion for coding, machine learning, open source technologies, and setting the standards for their implementation and adoption. Strong experience building production-grade ML software in Python - this could include training and serving machine learning models, building large-scale inference services, or integrating . Experience deploying ML services in a cloud environment, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling. Fluency in our core tooling: Git, Unix/Linux, Docker, and common open-source MLOps tools. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. We encourage you to apply even if you don't meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We're excited to speak to candidates from any of these backgrounds; you don't need an explicit MLOps background to apply for this role, as you'll learn as you go by immersing yourself in this exciting new field. By joining a growing company you'll have the chance to make a real impact on its future. There's plenty of room for growth and we'll work with you to help you realise your technical and personal ambitions because your success and the company's success are one and the same. Benefits 25 days holiday rising to 30 with each year of service Enhanced family leave, including maternity, paternity and adoption leave £500 annual personal development budget and AI assistant of your choice Equity option scheme, giving you a genuine stake in the business Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot & cold drinks Cycle to Work Scheme and secure bike storage Paid time off for charity and volunteering Company socials, summer and Christmas parties Location and Eligibility As a hybrid-working organisation, we bring the team together in the office three days each week on Mondays, Wednesdays and Thursdays, and work remotely on the remaining days. We have found that regular, structured time in person enables us to make decisions more quickly, collaborate more effectively, and build the strong working relationships that underpin our work. For that reason, being able to join us in our central Manchester office on those set days is an essential part of the role. At the same time, we recognise that personal circumstances vary. We aim to approach individual situations with flexibility and openness, and we're always willing to have a conversation where specific needs arise. Finally, due to the sensitive nature of some projects, you will be required to undergo UK government security clearance after you start (at SC level - see this link for more information). This will include a credit check and criminal records check. As a result, we're only able to consider candidates who have been resident in the UK for 5 or more years.
We are currently looking for highly motivated engineering students with a MS, at a fast paced, internationally growing organization with a start-up culture. In this role, you will participate in a wide range of real-world consulting projects including the design, analysis, and optimization of turbomachinery components. This position starts as a paid training internship is for a 6-month period, full-time (40 hours per week). Trainee may be offered a permanent position based on performance evaluations made upon completion of the internship period. Why should you apply: Hands on experience in real consulting projects Free access to learning center AxSTREAM Certification after completion of training course Past record in hiring interns for full time position Responsibilities: Support global team on all steps of the rotor-bearing systems design and dynamics analysis activities Participate in projects which include rotordynamics analyses and simulations for different types of bearings, such as oil film, gas foil, hydrodynamic/hydrostatic, journal/thrust, rolling element Develop test cases and perform validation on rotordynamics studies using in-house software AxSTREAM Rotordynamics and AxSTREAM Bearing for design, analysis and optimization for variety of machines: turbines, compressors, pumps, turbopumps, electric machines, etc. Write technical publications based on internal results and improve existing documents Participate at conferences and trade shows and animate technical webinars Develop and deliver software demonstrations to prospect and current clients Minimum Qualifications: Masters in Mechanical/Aerospace Engineering or related science Recent graduates with GPA> 3.3 or higher Strong theoretical background in dynamics of rotating machines, bearings characteristics simulation, rotor-bearing systems design and vibration analysis Specific knowledge of methods and technologies related to rotordynamics analyses Ability to pay attention to details and strong organization skills Preferred Qualifications: In Mechanical/Aerospace Engineering or related science Competence in industrial standards for rotordynamics such as API Standards, knowledge of standard procedures and acceptance criteria
23/06/2026
Full time
We are currently looking for highly motivated engineering students with a MS, at a fast paced, internationally growing organization with a start-up culture. In this role, you will participate in a wide range of real-world consulting projects including the design, analysis, and optimization of turbomachinery components. This position starts as a paid training internship is for a 6-month period, full-time (40 hours per week). Trainee may be offered a permanent position based on performance evaluations made upon completion of the internship period. Why should you apply: Hands on experience in real consulting projects Free access to learning center AxSTREAM Certification after completion of training course Past record in hiring interns for full time position Responsibilities: Support global team on all steps of the rotor-bearing systems design and dynamics analysis activities Participate in projects which include rotordynamics analyses and simulations for different types of bearings, such as oil film, gas foil, hydrodynamic/hydrostatic, journal/thrust, rolling element Develop test cases and perform validation on rotordynamics studies using in-house software AxSTREAM Rotordynamics and AxSTREAM Bearing for design, analysis and optimization for variety of machines: turbines, compressors, pumps, turbopumps, electric machines, etc. Write technical publications based on internal results and improve existing documents Participate at conferences and trade shows and animate technical webinars Develop and deliver software demonstrations to prospect and current clients Minimum Qualifications: Masters in Mechanical/Aerospace Engineering or related science Recent graduates with GPA> 3.3 or higher Strong theoretical background in dynamics of rotating machines, bearings characteristics simulation, rotor-bearing systems design and vibration analysis Specific knowledge of methods and technologies related to rotordynamics analyses Ability to pay attention to details and strong organization skills Preferred Qualifications: In Mechanical/Aerospace Engineering or related science Competence in industrial standards for rotordynamics such as API Standards, knowledge of standard procedures and acceptance criteria
Ref 85855 Programme England DXD IT Azure Cloud Support Specialist Level 3 Area of interest IT Working location Birch House, Ransom Wood Business Park, Mansfield, Nottinghamshire, NG21 0HJ Salary £18,304 per annum Closing date 16/06/2026 Are you passionate about tech and ready to kickstart your career in IT? We're looking for a hardworking, motivated IT Service Desk Engineer Apprentice to join the team and support customers across the UK. No prior experience required-what matters most is your attitude, willingness to learn, and strong work ethic. About the role You'll be the first point of contact for IT support, helping to resolve issues and ensure smooth day-to-day operations for customers. Working in a fast-paced environment, you'll provide support over the phone, via a ticketing system, and occasionally on-site. Alongside your role, you'll complete a Level 3 IT apprenticeship, giving you the opportunity to develop your technical knowledge and skills while gaining hands on experience. This is a great opportunity to build a strong foundation in IT support while delivering excellent customer service and contributing to continuous service improvement. Responsibilities Provide 1st and 2nd line IT support to customers, remotely and on-site Diagnose and resolve hardware and software issues, including Windows and Mac operating systems Respond to IT requests within agreed SLA timeframes Install and configure IT equipment in office, remote, and on site environments Set up user accounts, email addresses, and groups Maintain accurate documentation of processes, configurations, and critical information Support upgrades of IT hardware and software Troubleshoot printers, copiers, and scanners Communicate clearly with customers, keeping them updated on progress Work collaboratively with the wider team, sharing knowledge and updates Support IT projects and attend training as required What we're looking for A genuine interest in IT and technology Strong communication skills with a reliable and committed approach Eagerness to learn and develop New skills A logical mindset with a creative approach to problem solving Ability to manage multiple tasks and prioritise effectively Proactive attitude with a willingness to get stuck in Adaptable and flexible in a fast paced environment Full UK driving licence and access to your own car (preferred) No prior IT experience required Entry requirements 3 GCSEs (or equivalent) at grades 4+ (A C) in any subject GCSE Maths and English (or equivalents) at grades 3+ (D or above) Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship is in a similar subject You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website. Working hours: 40 hours per week, 10am - 7pm, Monday - Friday (1 hour unpaid lunch break per day) 28 days annual leave Your birthday off work Birthday and length of service rewards Health cash plan Employee assistance program Cycle to work scheme Free onsite parking Gym and leisure discounts Discounted or free home broadband Workplace pension (if applicable) 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. About QA Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now! Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.
23/06/2026
Full time
Ref 85855 Programme England DXD IT Azure Cloud Support Specialist Level 3 Area of interest IT Working location Birch House, Ransom Wood Business Park, Mansfield, Nottinghamshire, NG21 0HJ Salary £18,304 per annum Closing date 16/06/2026 Are you passionate about tech and ready to kickstart your career in IT? We're looking for a hardworking, motivated IT Service Desk Engineer Apprentice to join the team and support customers across the UK. No prior experience required-what matters most is your attitude, willingness to learn, and strong work ethic. About the role You'll be the first point of contact for IT support, helping to resolve issues and ensure smooth day-to-day operations for customers. Working in a fast-paced environment, you'll provide support over the phone, via a ticketing system, and occasionally on-site. Alongside your role, you'll complete a Level 3 IT apprenticeship, giving you the opportunity to develop your technical knowledge and skills while gaining hands on experience. This is a great opportunity to build a strong foundation in IT support while delivering excellent customer service and contributing to continuous service improvement. Responsibilities Provide 1st and 2nd line IT support to customers, remotely and on-site Diagnose and resolve hardware and software issues, including Windows and Mac operating systems Respond to IT requests within agreed SLA timeframes Install and configure IT equipment in office, remote, and on site environments Set up user accounts, email addresses, and groups Maintain accurate documentation of processes, configurations, and critical information Support upgrades of IT hardware and software Troubleshoot printers, copiers, and scanners Communicate clearly with customers, keeping them updated on progress Work collaboratively with the wider team, sharing knowledge and updates Support IT projects and attend training as required What we're looking for A genuine interest in IT and technology Strong communication skills with a reliable and committed approach Eagerness to learn and develop New skills A logical mindset with a creative approach to problem solving Ability to manage multiple tasks and prioritise effectively Proactive attitude with a willingness to get stuck in Adaptable and flexible in a fast paced environment Full UK driving licence and access to your own car (preferred) No prior IT experience required Entry requirements 3 GCSEs (or equivalent) at grades 4+ (A C) in any subject GCSE Maths and English (or equivalents) at grades 3+ (D or above) Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship is in a similar subject You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website. Working hours: 40 hours per week, 10am - 7pm, Monday - Friday (1 hour unpaid lunch break per day) 28 days annual leave Your birthday off work Birthday and length of service rewards Health cash plan Employee assistance program Cycle to work scheme Free onsite parking Gym and leisure discounts Discounted or free home broadband Workplace pension (if applicable) 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. About QA Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now! Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.
Fidenz Academy is a novel employee recruitment process to select, train, and mentor individuals, with a passion and skills for software development. The trainee engineers get an opportunity to work with senior engineers on multiple technologies to understand and practice the fundamentals of computer programming with real world problems. Fidenz Academy is an on the job training program for fresh graduates or undergraduates to build core programming skills and effectively work on commercial projects. Fidenz has used this training methodology in the last eight years to recruit engineers who now deliver complex projects with the latest technologies. Who May Join Fidenz Academy? Anyone may apply to join the academy. Applicants complete an aptitude test before being chosen as trainees. We do not set strict criteria for selection but assess an individual's interest and commitment to programming. Priority is given to participants who have initiated development on their own, such as contributions to an open source project or developing simple tools. Training Structure Senior and experienced developers mentor trainees closely throughout the training period. Trainees receive training material for each technology and are allocated time to study independently. They are assessed with assignments; successful completion allows them to advance to the next level. Trainees who do not meet basic discipline in coding may be dropped to give others an opportunity. Responsibilities Collaborate with senior engineers on various projects, apply programming fundamentals, complete assignments and evaluations, and contribute to commercial projects as a trainee. Qualifications Graduate or undergraduate in IT or Science subjects Basic knowledge of technologies and software languages Employment Opportunity Successful completion of the three month training leads to employment at Fidenz Technologies.
23/06/2026
Full time
Fidenz Academy is a novel employee recruitment process to select, train, and mentor individuals, with a passion and skills for software development. The trainee engineers get an opportunity to work with senior engineers on multiple technologies to understand and practice the fundamentals of computer programming with real world problems. Fidenz Academy is an on the job training program for fresh graduates or undergraduates to build core programming skills and effectively work on commercial projects. Fidenz has used this training methodology in the last eight years to recruit engineers who now deliver complex projects with the latest technologies. Who May Join Fidenz Academy? Anyone may apply to join the academy. Applicants complete an aptitude test before being chosen as trainees. We do not set strict criteria for selection but assess an individual's interest and commitment to programming. Priority is given to participants who have initiated development on their own, such as contributions to an open source project or developing simple tools. Training Structure Senior and experienced developers mentor trainees closely throughout the training period. Trainees receive training material for each technology and are allocated time to study independently. They are assessed with assignments; successful completion allows them to advance to the next level. Trainees who do not meet basic discipline in coding may be dropped to give others an opportunity. Responsibilities Collaborate with senior engineers on various projects, apply programming fundamentals, complete assignments and evaluations, and contribute to commercial projects as a trainee. Qualifications Graduate or undergraduate in IT or Science subjects Basic knowledge of technologies and software languages Employment Opportunity Successful completion of the three month training leads to employment at Fidenz Technologies.
Who We Are We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning. Read a spotlight on Intropic here. Join us to help the world unlock the true power of information. Who We Look For We are looking for individuals who not only possess strong technical and analytical skills but also have an entrepreneurial spirit and want to make an impact. We're looking for top-tier talent, driven innovators and problem solvers to join our 2026 internship program - a unique opportunity to work across a spectrum of disciplines. If you have founded your own venture, built a product from the ground up, or launched an ambitious project during your studies, we want to hear from you! Apply to us if You are a full-time STEM, Economics or Finance undergraduate or masters student who is eligible for an internship role in 2026, with possibility to convert to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment. Have excellent analytical and problem-solving skills (quantitative prowess), and exceptional cognitive agility. Have the ability to grasp complex topics and apply knowledge across various disciplines. Have intellectual curiosity & ability to get deep into the details to solve tough problems. Are a creative collaborator who thrives in constantly evolving and changing environments. Have experience founding or leading a major project with end to end responsibility at university. Have proven leadership or team management in a university project, startup, or other entrepreneurial initiative. Have excellent written & oral communication skills. Have a passion for financial markets and a passion for using technology to solve real world problems. What you'll be doing This internship program is designed to help you develop skills in either client facing roles, financial research, and/or building technical solutions. All candidates who are successful in the process will be assessed and placed into an area of expertise based on their unique skillset, for the duration of the 10 week program. We'll work together to help you find the area where you can excel. Regardless of the area you focus on, a core understanding of capital markets and financial research is essential. You will be expected to deliver work with a high degree of independence. You will be involved in debugging Python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the product team leads. You will be developing REST APIs, data processing pipelines, python libraries, and deploying production-quality code, as well as maintaining and monitoring production systems. You will be contributing to the provision of technical support and consultation, including exposure to resolving client issues, capturing underlying business implications of client queries and helping to feed this information into Intropic product development cycle. Analysing and improving client contact regarding queries and assistance provided. Supporting client use of research functionality. Assisting with workflow testing of bespoke solutions developed by Intropic for clients. Gaining a deeper understanding of business reasons for client product enhancement requests. Liaising between the various interested parties (Client, Account management, Engineering teams) to interpret/clarify requirements as necessary to facilitate the successful development and delivery of the bespoke projects. You are expected to be a team player and an excellent cross-departmental communicator, with the ability to communicate to both technical and nontechnical audiences. Involved in the presentation of the vision, value proposition, and development progress to business leadership, sales, engineering and our client stakeholders. Why Join Us This 10 week internship will offer you the opportunity to experience a dynamic, multi-disciplinary role where no two days are the same. You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential. Please note that we do not provide immigration sponsorship for this position. This internship is on-site at our offices in 30 Churchill Place, E14 5RE, London.
23/06/2026
Full time
Who We Are We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning. Read a spotlight on Intropic here. Join us to help the world unlock the true power of information. Who We Look For We are looking for individuals who not only possess strong technical and analytical skills but also have an entrepreneurial spirit and want to make an impact. We're looking for top-tier talent, driven innovators and problem solvers to join our 2026 internship program - a unique opportunity to work across a spectrum of disciplines. If you have founded your own venture, built a product from the ground up, or launched an ambitious project during your studies, we want to hear from you! Apply to us if You are a full-time STEM, Economics or Finance undergraduate or masters student who is eligible for an internship role in 2026, with possibility to convert to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment. Have excellent analytical and problem-solving skills (quantitative prowess), and exceptional cognitive agility. Have the ability to grasp complex topics and apply knowledge across various disciplines. Have intellectual curiosity & ability to get deep into the details to solve tough problems. Are a creative collaborator who thrives in constantly evolving and changing environments. Have experience founding or leading a major project with end to end responsibility at university. Have proven leadership or team management in a university project, startup, or other entrepreneurial initiative. Have excellent written & oral communication skills. Have a passion for financial markets and a passion for using technology to solve real world problems. What you'll be doing This internship program is designed to help you develop skills in either client facing roles, financial research, and/or building technical solutions. All candidates who are successful in the process will be assessed and placed into an area of expertise based on their unique skillset, for the duration of the 10 week program. We'll work together to help you find the area where you can excel. Regardless of the area you focus on, a core understanding of capital markets and financial research is essential. You will be expected to deliver work with a high degree of independence. You will be involved in debugging Python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the product team leads. You will be developing REST APIs, data processing pipelines, python libraries, and deploying production-quality code, as well as maintaining and monitoring production systems. You will be contributing to the provision of technical support and consultation, including exposure to resolving client issues, capturing underlying business implications of client queries and helping to feed this information into Intropic product development cycle. Analysing and improving client contact regarding queries and assistance provided. Supporting client use of research functionality. Assisting with workflow testing of bespoke solutions developed by Intropic for clients. Gaining a deeper understanding of business reasons for client product enhancement requests. Liaising between the various interested parties (Client, Account management, Engineering teams) to interpret/clarify requirements as necessary to facilitate the successful development and delivery of the bespoke projects. You are expected to be a team player and an excellent cross-departmental communicator, with the ability to communicate to both technical and nontechnical audiences. Involved in the presentation of the vision, value proposition, and development progress to business leadership, sales, engineering and our client stakeholders. Why Join Us This 10 week internship will offer you the opportunity to experience a dynamic, multi-disciplinary role where no two days are the same. You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential. Please note that we do not provide immigration sponsorship for this position. This internship is on-site at our offices in 30 Churchill Place, E14 5RE, London.
