KO2 Embedded Recruitment Solutions LTD
City, Manchester
Position: Embedded Software Engineer Location: Manchester Salary: Up to 45,000 + benefits An exciting new position has now been created for an Embedded Software Engineer to join our growing start up client's team, working out of their brand-new offices in the South Manchester area. Our client is working towards the 2nd generation of their cutting-edge medical device and are looking to expand their engineering team. They are seeking an embedded software engineer with previous medical devices and medical standards (IEC62304) experience who will play a pivotal role in the engineering team. Key Skills and Experience Required: Embedded C programming STM32 Microcontrollers Medical device and medical standards experience - IEC62304 ideally Degree qualified - Computer Science or similar In this role you will be responsible for the development of firmware and related software for the next and future generations of their devices, you will report directly to the Technical Director and can expect to work closely with other engineers (mechanical, electronics and test). In this role you can expect plenty of variety in your daily tasks, the autonomy to manage your own workload and can expect your core responsibilities to include: The design and development of firmware on SMT32 microcontrollers The design and development of software for embedded controls and firmware interfaces Writing embedded level software in C System integration and integration testing Conducting unit testing and participating in software validation processes Producing accurate and detailed documentation This role will best suit a graduate qualified Embedded Software Engineer with a few years industry experience who is keen to join an exciting startup. You will have the chance to work with passionate engineers towards the development of a state-of-the-art medical device that will make a positive impact in people's lives around the globe. Desirable Skills and Experience: C++, Python or C# Azure, Aws or Google Cloud interfacing GitHub or TFS Apply today for this fantastic Embedded Software Engineer opportunity with an up-to-date CV or contact Laurence Powell at KO2 Embedded Recruitment Solutions for more details.
23/06/2026
Full time
Position: Embedded Software Engineer Location: Manchester Salary: Up to 45,000 + benefits An exciting new position has now been created for an Embedded Software Engineer to join our growing start up client's team, working out of their brand-new offices in the South Manchester area. Our client is working towards the 2nd generation of their cutting-edge medical device and are looking to expand their engineering team. They are seeking an embedded software engineer with previous medical devices and medical standards (IEC62304) experience who will play a pivotal role in the engineering team. Key Skills and Experience Required: Embedded C programming STM32 Microcontrollers Medical device and medical standards experience - IEC62304 ideally Degree qualified - Computer Science or similar In this role you will be responsible for the development of firmware and related software for the next and future generations of their devices, you will report directly to the Technical Director and can expect to work closely with other engineers (mechanical, electronics and test). In this role you can expect plenty of variety in your daily tasks, the autonomy to manage your own workload and can expect your core responsibilities to include: The design and development of firmware on SMT32 microcontrollers The design and development of software for embedded controls and firmware interfaces Writing embedded level software in C System integration and integration testing Conducting unit testing and participating in software validation processes Producing accurate and detailed documentation This role will best suit a graduate qualified Embedded Software Engineer with a few years industry experience who is keen to join an exciting startup. You will have the chance to work with passionate engineers towards the development of a state-of-the-art medical device that will make a positive impact in people's lives around the globe. Desirable Skills and Experience: C++, Python or C# Azure, Aws or Google Cloud interfacing GitHub or TFS Apply today for this fantastic Embedded Software Engineer opportunity with an up-to-date CV or contact Laurence Powell at KO2 Embedded Recruitment Solutions for more details.
Graduate Software Engineer Your code could help keep aircraft and the ground safely connected, on systems trusted by customers around the world. Start your career as a Graduate Software Engineer where the software you write genuinely matters. As a Graduate Software Engineer you will join an established business that designs and builds the communications equipment relied on to keep passenger, freight and military aircraft safely connected with the ground, based in Lincolnshire. A growing workload across several high-value contracts, alongside the next generation of designs, means the software team is expanding. You will work under the guidance of senior engineers across the full software lifecycle, from design through to development, test and documentation, learning on real products that go out into the world. The aim is clear. You will grow from contributing under close guidance to becoming a confident, capable engineer trusted to play a real part in future designs. Job Responsibilities Writing, developing and debugging software code for company products and their manufacturing test systems, under the guidance of a senior engineer Contributing to software design that meets defined project requirements Carrying out unit testing and debugging to confirm code performs as intended Supporting the test and acceptance team through integration, test and acceptance activities Developing and executing test plans, then writing up clear test reports Producing technical documentation that records how the software is built and behaves Taking part in software code reviews and acting on feedback from the team Putting forward your own ideas and improvements as your confidence grows Supporting wider departmental activities alongside senior engineers and the department manager Skills and Experience To succeed as a Graduate Software Engineer from day one you will need: A degree, ideally a first or 2:1, in software engineering, computer science or a related technical subject A genuine interest in software and engineering, shown through coursework, personal projects, internships or placements Some grounding in a programming language and the basics of writing, testing and debugging code A willingness to learn on the job under the guidance of experienced senior engineers An interest in developing knowledge of areas such as DSP, FPGA or embedded systems over time The ability to work well within a close engineering team and take feedback on board Eligibility to obtain and maintain Baseline Personnel Security Standard (BPSS) clearance Pay and Benefits Salary: Up to 35,000 Working Hours: 37.5 hours per week Flexitime with core hours between 09:30 and 15:00 Benefits: 25 days annual leave plus bank holidays Enhanced pension scheme with up to 8% company contribution Private healthcare Life assurance Cycle to work scheme Subsidised staff canteen Free on-site parking Option to buy or sell annual leave Liberty Days allowing short notice annual leave requests Long service and retirement awards Flu vaccinations Training and continuous professional development opportunities Employee Assistance Programme and wellbeing support Ready to apply? Graduate roles that put you onto real, high-value projects this early are rare. From your first weeks you would be writing code that helps keep aircraft and air traffic safely connected, learning from engineers with decades of experience behind them. If you want to begin your career somewhere your work carries genuine purpose and your development is taken seriously, apply today and take your first step as a Graduate Software Engineer.
23/06/2026
Full time
Graduate Software Engineer Your code could help keep aircraft and the ground safely connected, on systems trusted by customers around the world. Start your career as a Graduate Software Engineer where the software you write genuinely matters. As a Graduate Software Engineer you will join an established business that designs and builds the communications equipment relied on to keep passenger, freight and military aircraft safely connected with the ground, based in Lincolnshire. A growing workload across several high-value contracts, alongside the next generation of designs, means the software team is expanding. You will work under the guidance of senior engineers across the full software lifecycle, from design through to development, test and documentation, learning on real products that go out into the world. The aim is clear. You will grow from contributing under close guidance to becoming a confident, capable engineer trusted to play a real part in future designs. Job Responsibilities Writing, developing and debugging software code for company products and their manufacturing test systems, under the guidance of a senior engineer Contributing to software design that meets defined project requirements Carrying out unit testing and debugging to confirm code performs as intended Supporting the test and acceptance team through integration, test and acceptance activities Developing and executing test plans, then writing up clear test reports Producing technical documentation that records how the software is built and behaves Taking part in software code reviews and acting on feedback from the team Putting forward your own ideas and improvements as your confidence grows Supporting wider departmental activities alongside senior engineers and the department manager Skills and Experience To succeed as a Graduate Software Engineer from day one you will need: A degree, ideally a first or 2:1, in software engineering, computer science or a related technical subject A genuine interest in software and engineering, shown through coursework, personal projects, internships or placements Some grounding in a programming language and the basics of writing, testing and debugging code A willingness to learn on the job under the guidance of experienced senior engineers An interest in developing knowledge of areas such as DSP, FPGA or embedded systems over time The ability to work well within a close engineering team and take feedback on board Eligibility to obtain and maintain Baseline Personnel Security Standard (BPSS) clearance Pay and Benefits Salary: Up to 35,000 Working Hours: 37.5 hours per week Flexitime with core hours between 09:30 and 15:00 Benefits: 25 days annual leave plus bank holidays Enhanced pension scheme with up to 8% company contribution Private healthcare Life assurance Cycle to work scheme Subsidised staff canteen Free on-site parking Option to buy or sell annual leave Liberty Days allowing short notice annual leave requests Long service and retirement awards Flu vaccinations Training and continuous professional development opportunities Employee Assistance Programme and wellbeing support Ready to apply? Graduate roles that put you onto real, high-value projects this early are rare. From your first weeks you would be writing code that helps keep aircraft and air traffic safely connected, learning from engineers with decades of experience behind them. If you want to begin your career somewhere your work carries genuine purpose and your development is taken seriously, apply today and take your first step as a Graduate Software Engineer.
Graduate Software Engineer Your code could help keep aircraft and the ground safely connected, on systems trusted by customers around the world. Start your career as a Graduate Software Engineer where the software you write genuinely matters. As a Graduate Software Engineer you will join an established business that designs and builds the communications equipment relied on to keep passenger, freight and military aircraft safely connected with the ground, based in Lincolnshire. A growing workload across several high-value contracts, alongside the next generation of designs, means the software team is expanding. You will work under the guidance of senior engineers across the full software lifecycle, from design through to development, test and documentation, learning on real products that go out into the world. The aim is clear. You will grow from contributing under close guidance to becoming a confident, capable engineer trusted to play a real part in future designs. Job Responsibilities Writing, developing and debugging software code for company products and their manufacturing test systems, under the guidance of a senior engineer Contributing to software design that meets defined project requirements Carrying out unit testing and debugging to confirm code performs as intended Supporting the test and acceptance team through integration, test and acceptance activities Developing and executing test plans, then writing up clear test reports Producing technical documentation that records how the software is built and behaves Taking part in software code reviews and acting on feedback from the team Putting forward your own ideas and improvements as your confidence grows Supporting wider departmental activities alongside senior engineers and the department manager Skills and Experience To succeed as a Graduate Software Engineer from day one you will need: A degree, ideally a first or 2:1, in software engineering, computer science or a related technical subject A genuine interest in software and engineering, shown through coursework, personal projects, internships or placements Some grounding in a programming language and the basics of writing, testing and debugging code A willingness to learn on the job under the guidance of experienced senior engineers An interest in developing knowledge of areas such as DSP, FPGA or embedded systems over time The ability to work well within a close engineering team and take feedback on board Eligibility to obtain and maintain Baseline Personnel Security Standard (BPSS) clearance Pay and Benefits Salary: Up to £35,000 Working Hours: 37.5 hours per week Flexitime with core hours between 09:30 and 15:00 Benefits: 25 days annual leave plus bank holidays Enhanced pension scheme with up to 8% company contribution Private healthcare Life assurance Cycle to work scheme Subsidised staff canteen Free on-site parking Option to buy or sell annual leave Liberty Days allowing short notice annual leave requests Long service and retirement awards Flu vaccinations Training and continuous professional development opportunities Employee Assistance Programme and wellbeing support Ready to apply? Graduate roles that put you onto real, high-value projects this early are rare. From your first weeks you would be writing code that helps keep aircraft and air traffic safely connected, learning from engineers with decades of experience behind them. If you want to begin your career somewhere your work carries genuine purpose and your development is taken seriously, apply today and take your first step as a Graduate Software Engineer.
22/06/2026
Full time
Graduate Software Engineer Your code could help keep aircraft and the ground safely connected, on systems trusted by customers around the world. Start your career as a Graduate Software Engineer where the software you write genuinely matters. As a Graduate Software Engineer you will join an established business that designs and builds the communications equipment relied on to keep passenger, freight and military aircraft safely connected with the ground, based in Lincolnshire. A growing workload across several high-value contracts, alongside the next generation of designs, means the software team is expanding. You will work under the guidance of senior engineers across the full software lifecycle, from design through to development, test and documentation, learning on real products that go out into the world. The aim is clear. You will grow from contributing under close guidance to becoming a confident, capable engineer trusted to play a real part in future designs. Job Responsibilities Writing, developing and debugging software code for company products and their manufacturing test systems, under the guidance of a senior engineer Contributing to software design that meets defined project requirements Carrying out unit testing and debugging to confirm code performs as intended Supporting the test and acceptance team through integration, test and acceptance activities Developing and executing test plans, then writing up clear test reports Producing technical documentation that records how the software is built and behaves Taking part in software code reviews and acting on feedback from the team Putting forward your own ideas and improvements as your confidence grows Supporting wider departmental activities alongside senior engineers and the department manager Skills and Experience To succeed as a Graduate Software Engineer from day one you will need: A degree, ideally a first or 2:1, in software engineering, computer science or a related technical subject A genuine interest in software and engineering, shown through coursework, personal projects, internships or placements Some grounding in a programming language and the basics of writing, testing and debugging code A willingness to learn on the job under the guidance of experienced senior engineers An interest in developing knowledge of areas such as DSP, FPGA or embedded systems over time The ability to work well within a close engineering team and take feedback on board Eligibility to obtain and maintain Baseline Personnel Security Standard (BPSS) clearance Pay and Benefits Salary: Up to £35,000 Working Hours: 37.5 hours per week Flexitime with core hours between 09:30 and 15:00 Benefits: 25 days annual leave plus bank holidays Enhanced pension scheme with up to 8% company contribution Private healthcare Life assurance Cycle to work scheme Subsidised staff canteen Free on-site parking Option to buy or sell annual leave Liberty Days allowing short notice annual leave requests Long service and retirement awards Flu vaccinations Training and continuous professional development opportunities Employee Assistance Programme and wellbeing support Ready to apply? Graduate roles that put you onto real, high-value projects this early are rare. From your first weeks you would be writing code that helps keep aircraft and air traffic safely connected, learning from engineers with decades of experience behind them. If you want to begin your career somewhere your work carries genuine purpose and your development is taken seriously, apply today and take your first step as a Graduate Software Engineer.
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
22/06/2026
Full time
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
2026 Graduate Software Engineer - DevOps Bristol, UK About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process Deploy and maintain services with Kubernetes and Docker Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform Working closely with development teams working on the ML Software Stack (SDK) Candidate Profile Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/CD principles Experience using Kubernetes (k8s) or OpenStack Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with build tools (e.g. CMake) Experience with Grafana Familiarity with cloud services (e.g. AWS) In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
22/06/2026
Full time
2026 Graduate Software Engineer - DevOps Bristol, UK About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process Deploy and maintain services with Kubernetes and Docker Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform Working closely with development teams working on the ML Software Stack (SDK) Candidate Profile Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/CD principles Experience using Kubernetes (k8s) or OpenStack Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with build tools (e.g. CMake) Experience with Grafana Familiarity with cloud services (e.g. AWS) In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with over 1,000 colleagues in more than 70 countries and very few office based roles. Teams meet two to four times yearly in person in interesting locations around the world to align on strategy and execution. The company is founder led, profitable and growing. What you will focus on Design and specify new features, building consensus on approach Engage with upstream communities in your area of expertise Conduct security analysis and reviews to ensure defence in depth Create and monitor performance benchmarks to optimise your product Collaborate proactively with a distributed team Write high quality code to create new features Debug issues and produce high quality code to fix them Review code produced by other engineers Discuss ideas and collaborate on finding good solutions What we are looking for in you An exceptional academic track record from high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above and beyond expectations Experience working on open source virtualisation or container technology Experience working in the kernel or very low level system programming Professional written and spoken English Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self motivation Excellent communication and presentation skills Result oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Additional skills we value Performance engineering and security experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance driven annual bonus. We provide all team members with additional benefits that reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class as required by law.
21/06/2026
Full time
Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with over 1,000 colleagues in more than 70 countries and very few office based roles. Teams meet two to four times yearly in person in interesting locations around the world to align on strategy and execution. The company is founder led, profitable and growing. What you will focus on Design and specify new features, building consensus on approach Engage with upstream communities in your area of expertise Conduct security analysis and reviews to ensure defence in depth Create and monitor performance benchmarks to optimise your product Collaborate proactively with a distributed team Write high quality code to create new features Debug issues and produce high quality code to fix them Review code produced by other engineers Discuss ideas and collaborate on finding good solutions What we are looking for in you An exceptional academic track record from high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above and beyond expectations Experience working on open source virtualisation or container technology Experience working in the kernel or very low level system programming Professional written and spoken English Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self motivation Excellent communication and presentation skills Result oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Additional skills we value Performance engineering and security experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance driven annual bonus. We provide all team members with additional benefits that reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class as required by law.
Salary: £60,000 - 80,000 per year Requirements We require a 1st or 2.1 degree in computer science or a similar discipline, and ideally a relevant postgraduate degree. We require extensive demonstrable experience as a software engineer, with the confidence and capability of a senior-level individual contributor. We need proven experience architecting, developing, and maintaining production software for scalable AI applications. We require hands on coding skills across a broad range of technologies, including C++ and/or C#. We expect familiarity with Python. We require specific experience developing robust APIs with AI integration. We are looking for someone who understands security and compliance requirements for industrial software applications. We value experience working with structured and unstructured data for ML-guided inference. We need someone comfortable with technical leadership and project ownership. We require the ability to understand software problems across different technology stacks and version specific language environments. Responsibilities We design, develop, and deploy new software features with AI functionality into our desktop and web software tools. We integrate AI gateway features into enterprise software applications. We contribute as a key member of our newly formed AI team. We build and support production ready AI/ML solutions within our market leading software products. We develop software for industrial and energy sector use cases with a strong focus on security and compliance. We work with structured and unstructured data to support ML guided inference. We provide technical leadership and take ownership of projects as senior engineers. We collaborate effectively within our team while driving high quality engineering outcomes. Technologies AI C# Support Python Security Web More We are a highly respected, market leading software company that produces state of the art modelling tools used by hundreds of multinational companies in the energy sector. We are expanding into new industry sectors and are building a newly formed AI team to deliver advanced AI/ML capabilities within our production software. This is a fully onsite role based in our newly refurbished offices in the Crawley region, with parking available. We offer a comprehensive remuneration package including a competitive salary of £60,000 to £80,000 DOE, a performance related bonus, enhanced holiday allocation, private health insurance, and the opportunity for international travel.
21/06/2026
Full time
Salary: £60,000 - 80,000 per year Requirements We require a 1st or 2.1 degree in computer science or a similar discipline, and ideally a relevant postgraduate degree. We require extensive demonstrable experience as a software engineer, with the confidence and capability of a senior-level individual contributor. We need proven experience architecting, developing, and maintaining production software for scalable AI applications. We require hands on coding skills across a broad range of technologies, including C++ and/or C#. We expect familiarity with Python. We require specific experience developing robust APIs with AI integration. We are looking for someone who understands security and compliance requirements for industrial software applications. We value experience working with structured and unstructured data for ML-guided inference. We need someone comfortable with technical leadership and project ownership. We require the ability to understand software problems across different technology stacks and version specific language environments. Responsibilities We design, develop, and deploy new software features with AI functionality into our desktop and web software tools. We integrate AI gateway features into enterprise software applications. We contribute as a key member of our newly formed AI team. We build and support production ready AI/ML solutions within our market leading software products. We develop software for industrial and energy sector use cases with a strong focus on security and compliance. We work with structured and unstructured data to support ML guided inference. We provide technical leadership and take ownership of projects as senior engineers. We collaborate effectively within our team while driving high quality engineering outcomes. Technologies AI C# Support Python Security Web More We are a highly respected, market leading software company that produces state of the art modelling tools used by hundreds of multinational companies in the energy sector. We are expanding into new industry sectors and are building a newly formed AI team to deliver advanced AI/ML capabilities within our production software. This is a fully onsite role based in our newly refurbished offices in the Crawley region, with parking available. We offer a comprehensive remuneration package including a competitive salary of £60,000 to £80,000 DOE, a performance related bonus, enhanced holiday allocation, private health insurance, and the opportunity for international travel.
Technical Graduate - Linux Software Engineering / Bicester / £28,000 to £30,000 Per Annum D.O.E. Amazing opportunity for a passionate Linux enthusiast to join Alces Software as a Graduate Software Engineer. We design and manage some of the most advanced supercomputer and AI systems in the UK. If you've spent your own time building homelabs, daily-driving Linux, tinkering with kernels, scripting everything, self-hosting services, or contributing to open-source projects - this role is built for you. What's on Offer? Competitive Salary of between £28,000 and £30,000 per annum depending on experience. Rapid exposure to large-scale Linux systems, supercomputers, and emerging AI technologies. Ongoing training and mentorship from experienced Linux engineers. Genuine opportunity to grow into a strong Linux focused software engineering career. Relaxed working environment with a team that actually understands open source culture. Key Responsibilities of the Graduate Software Engineer role Research, design, and implement software that runs on Linux based HPC and AI systems. Develop and automate tooling for large-scale Linux environments. Hands on design, implementation, testing, and ownership of your own projects. Work on real production supercomputing infrastructure. Participate in team meetings and present your work. Learn modern Linux engineering practices in a fast moving environment. What We're Looking For Live and breathe Linux (ideally run it as your daily driver). Have strong self taught Linux experience - whether that's Arch, Debian, Gentoo, NixOS, or anything else you've broken and fixed in your own time. Love scripting and automation (especially Bash, Python, and any other tools you've picked up). Have a demonstrable open source background (GitHub projects, personal tools, contributions, dotfiles, homelab setups, etc.). Are pragmatic, curious, and enjoy solving problems in different ways. Have a degree in Computer Science, Software Engineering, or a related subject. Are a fast learner with a strong drive to build a career in systems software engineering. Bonus points for Experience with containers (Docker/Podman), orchestration, Ansible, or configuration management. Any exposure to HPC, clustering, or high-performance systems. Web development (React or similar) or Ruby experience. Willingness to travel occasionally within the UK for customer projects. What's Next If you're a Linux enthusiast who wants to turn your personal passion into a real career working on supercomputers and AI systems, we'd love to hear from you. Apply today with your CV and a link to your GitHub (or any Linux related projects you're proud of). We'll be in touch to chat!
21/06/2026
Full time
Technical Graduate - Linux Software Engineering / Bicester / £28,000 to £30,000 Per Annum D.O.E. Amazing opportunity for a passionate Linux enthusiast to join Alces Software as a Graduate Software Engineer. We design and manage some of the most advanced supercomputer and AI systems in the UK. If you've spent your own time building homelabs, daily-driving Linux, tinkering with kernels, scripting everything, self-hosting services, or contributing to open-source projects - this role is built for you. What's on Offer? Competitive Salary of between £28,000 and £30,000 per annum depending on experience. Rapid exposure to large-scale Linux systems, supercomputers, and emerging AI technologies. Ongoing training and mentorship from experienced Linux engineers. Genuine opportunity to grow into a strong Linux focused software engineering career. Relaxed working environment with a team that actually understands open source culture. Key Responsibilities of the Graduate Software Engineer role Research, design, and implement software that runs on Linux based HPC and AI systems. Develop and automate tooling for large-scale Linux environments. Hands on design, implementation, testing, and ownership of your own projects. Work on real production supercomputing infrastructure. Participate in team meetings and present your work. Learn modern Linux engineering practices in a fast moving environment. What We're Looking For Live and breathe Linux (ideally run it as your daily driver). Have strong self taught Linux experience - whether that's Arch, Debian, Gentoo, NixOS, or anything else you've broken and fixed in your own time. Love scripting and automation (especially Bash, Python, and any other tools you've picked up). Have a demonstrable open source background (GitHub projects, personal tools, contributions, dotfiles, homelab setups, etc.). Are pragmatic, curious, and enjoy solving problems in different ways. Have a degree in Computer Science, Software Engineering, or a related subject. Are a fast learner with a strong drive to build a career in systems software engineering. Bonus points for Experience with containers (Docker/Podman), orchestration, Ansible, or configuration management. Any exposure to HPC, clustering, or high-performance systems. Web development (React or similar) or Ruby experience. Willingness to travel occasionally within the UK for customer projects. What's Next If you're a Linux enthusiast who wants to turn your personal passion into a real career working on supercomputers and AI systems, we'd love to hear from you. Apply today with your CV and a link to your GitHub (or any Linux related projects you're proud of). We'll be in touch to chat!
Overview Graduate Software Tester - Lancaster - £25k + Benefits CV Screen is recruiting for a Graduate Software Tester to join an established and growing software development company based in Lancaster. Offering a salary of £25,000 plus an excellent benefits package, this is a fantastic opportunity for a recent graduate or aspiring software testing professional to launch their career within a highly supportive environment. The company has over 20 years of industry experience, delivers bespoke software solutions to a diverse client base, and has built a strong reputation for quality, security, and innovation. Following probation, the role offers a hybrid working arrangement. Responsibilities Perform thorough testing of software applications to ensure they meet functional requirements and quality standards. Create and maintain test plans, test cases, and supporting documentation. Identify, record, and track software defects through to resolution. Work closely with developers and technical stakeholders to verify fixes and improvements. Support software releases by providing testing sign-off and quality assurance feedback. Experience / Qualifications A degree in Computer Science, Software Engineering, IT, or a related discipline. Strong attention to detail and a methodical approach to problem-solving. Excellent communication skills and the ability to work effectively within a collaborative team. Salary & Benefits Salary of £25,000 Hybrid working following successful completion of probation 25 days holiday plus bank holidays Private medical insurance after probation Annual salary reviews Excellent career development opportunities Location Based in Lancaster, this role is easily commutable from Morecambe, Kendal, Garstang, Carnforth, Preston, and surrounding areas. How to Apply To apply, please send your CV to Kate Morgan at CV Screen in strict confidence. Alternate Job Titles Graduate QA Tester Junior Software Tester Software Test Analyst Quality Assurance Analyst
21/06/2026
Full time
Overview Graduate Software Tester - Lancaster - £25k + Benefits CV Screen is recruiting for a Graduate Software Tester to join an established and growing software development company based in Lancaster. Offering a salary of £25,000 plus an excellent benefits package, this is a fantastic opportunity for a recent graduate or aspiring software testing professional to launch their career within a highly supportive environment. The company has over 20 years of industry experience, delivers bespoke software solutions to a diverse client base, and has built a strong reputation for quality, security, and innovation. Following probation, the role offers a hybrid working arrangement. Responsibilities Perform thorough testing of software applications to ensure they meet functional requirements and quality standards. Create and maintain test plans, test cases, and supporting documentation. Identify, record, and track software defects through to resolution. Work closely with developers and technical stakeholders to verify fixes and improvements. Support software releases by providing testing sign-off and quality assurance feedback. Experience / Qualifications A degree in Computer Science, Software Engineering, IT, or a related discipline. Strong attention to detail and a methodical approach to problem-solving. Excellent communication skills and the ability to work effectively within a collaborative team. Salary & Benefits Salary of £25,000 Hybrid working following successful completion of probation 25 days holiday plus bank holidays Private medical insurance after probation Annual salary reviews Excellent career development opportunities Location Based in Lancaster, this role is easily commutable from Morecambe, Kendal, Garstang, Carnforth, Preston, and surrounding areas. How to Apply To apply, please send your CV to Kate Morgan at CV Screen in strict confidence. Alternate Job Titles Graduate QA Tester Junior Software Tester Software Test Analyst Quality Assurance Analyst
Job Search Place Limited
Nottingham, Nottinghamshire
Job Search Place Limited in Nottingham is offering an exciting graduate opportunity for university students starting in October 2026. The ideal candidates will possess a predicted First or Upper Second-Class Hons Degree in Computer Science or related numeric fields, alongside programming skills in C#, C++, or Java. This position includes extensive training in over 30 languages and frameworks and provides excellent employee benefits, such as private medical insurance and a generous holiday allowance, in a positive workplace culture.
21/06/2026
Full time
Job Search Place Limited in Nottingham is offering an exciting graduate opportunity for university students starting in October 2026. The ideal candidates will possess a predicted First or Upper Second-Class Hons Degree in Computer Science or related numeric fields, alongside programming skills in C#, C++, or Java. This position includes extensive training in over 30 languages and frameworks and provides excellent employee benefits, such as private medical insurance and a generous holiday allowance, in a positive workplace culture.
Softweb Resourcing is looking for a Graduate C++ Software Engineer to join their collaborative team focused on building C++ systems for real-time media. This position is ideal for early-career individuals from Computer Science or a STEM discipline. Successful candidates will receive industry-leading training, mentorship, and the opportunity to work on real-world systems. The role fosters strong problem-solving skills and offers flexible working arrangements, along with a competitive salary and comprehensive benefits package.
21/06/2026
Full time
Softweb Resourcing is looking for a Graduate C++ Software Engineer to join their collaborative team focused on building C++ systems for real-time media. This position is ideal for early-career individuals from Computer Science or a STEM discipline. Successful candidates will receive industry-leading training, mentorship, and the opportunity to work on real-world systems. The role fosters strong problem-solving skills and offers flexible working arrangements, along with a competitive salary and comprehensive benefits package.
Graduate IT & Automation Engineer (AI / Microsoft 365)Skip to main content Jotun uses "cookies" to give you the best possible web-site experience. We appreciate your interest in our web pages and would like to assure you that all personal information is handled securely. This page explains how Jotun handles the personal data we collect on our website. IT & Automation Engineer (AI / Microsoft 365) page is loaded Graduate IT & Automation Engineer (AI / Microsoft 365)Applylocations: Flixboroughtime type: Full timeposted on: Posted Yesterdayjob requisition id: R9984SUMMARY OF THE ROLETo support the development and implementation of AI-driven and Microsoft 365 automation solutions within a manufacturing environment, contributing to improved efficiency, digitalisation, and business performance. The role operates within a small local IT team, while collaborating closely with the global IT organisation, ensuring alignment with company standards, policies, and best practices. The position requires a proactive and structured approach, applying technology in a practical way to deliver value to operations, while demonstrating Jotun's values of Loyalty, Care, Respect, and Boldness. Key Responsibilities Digitalisation & Automation Design, develop, and maintain automation solutions using Microsoft 365 tools (Power Automate, Power Apps, SharePoint, Teams)Support the implementation of AI-based solutions to improve operational efficiencyIdentify opportunities for process improvement and digital transformationContribute to continuous improvement initiatives within the site Business Support Work closely with site functions (production, operations, engineering) to understand business needsTranslate operational requirements into practical and scalable IT solutionsProvide user support and assist in maintaining reliable and effective systems Collaboration & Global Alignment Collaborate with the global IT organisation to implement standardised solutionsFollow company policies, IT standards, and security requirementsParticipate in international projects and knowledge sharingSupport integration between local and global systems Governance & Compliance Ensure solutions align with IT policies, security standards, and operational proceduresMaintain proper documentation and support structured ways of workingContribute to safe, secure, and compliant use of technology End User Support/Training Assist and support end-users by trouble-shooting IT systems and software, registering and follow-up on caretaker tickets, provide training to ensure that Digital IT tools are used effectively and become a source of competitive advantageAssist the local IT team as and when requiredWHAT WE ARE LOOKING FOR AND WHAT WE OFFER Loyalty Acts as a reliable and trusted IT partnerCommits to company values, standards, and long-term solutionsBuilds strong relationships with colleagues and stakeholders Care Supports and enables colleagues through practical solutionsDemonstrates ownership and responsibility for tasks and outcomesWorks collaboratively and shares knowledge within the team Respect Communicates clearly and effectively with diverse stakeholdersValues different perspectives and promotes inclusive working practicesAdheres to policies, regulations, and ethical standards Boldness Takes initiative to explore new technologies and drive improvementChallenges existing processes constructivelyAdapts quickly to change and contributes to innovation Qualifications & Experience Essential Bachelor's degree (or equivalent) in IT, Computer Science, Engineering, or related disciplineStrong interest in AI, automation, and digitalisationAnalytical mindset and structured problem-solving skillsEffective communication skills (technical and non-technical audiences) Desirable Experience with Microsoft Power Platform (Power Automate, Power Apps)Exposure to AI tools, data analytics, or scripting (e.g., PowerShell, Python)Understanding of manufacturing or industrial environments Key Personal Attributes Proactive and self-driven approach to workAbility to work independently while contributing to a team environmentStrong willingness to learn and develop competenciesPractical mindset with a focus on delivering business value Working Relationships Local IT TeamSite Management and Operational TeamsGroup / Regional IT TeamsExternal Vendors (as required) What We Offer A hands-on role in a real-world manufacturing environmentOpportunity to contribute to AI and automation initiatives with visible impactStructured support from a global IT organisationContinuous competence development and learning opportunitiesExposure to international collaboration and travelA strong values-driven culture based on Loyalty, Care, Respect, and Boldness Application Information This role is ideal for graduates or early-career professionals seeking to apply modern technologies in a practical and operational setting, while developing within a global organisation. POSITION INFORMATION Company: Jotun Paints (Europe) Ltd Contract Type: Regular Time Type: Full time CLOSING DATE (dd.mm.yyyy): 23.07.2026WHO WE AREJotun in Europe and Central Asia (ECA) has 18 different legal entities and operates 7 production facilities. The region has approximately 2000 employees who work across four markets: Marine, Protective, Powder and Decorative. Jotun ECA is committed to an ambitious growth strategy. Our employees are the real value in our companies as individuals and teams. We strive to provide our employees with meaningful and challenging work, rewarding them through continued learning and development driven by our values of Loyalty, Care, Respect and Boldness.Jotun Paints (Europe) Ltd's head office is based in Scunthorpe, North Lincolnshire and the Factory has been operational for over 30 years producing coatings to be distributed throughout Europe. We also have various sales offices located around the UK and Ireland with the company employing more than 270 people working across the Marine, Protective, Powder and Decorative markets. The company is people orientated offering opportunities for progression, learning and development in a friendly and supportive work environment undepinned by Jotun's core values; Loyalty, Care, Respect and Boldness.Visit our Career Page to know more about life at Jotun.Jotun's company culture welcomes and values differences in people. Our more than 10,200 employees on all continents represent 90 nationalities, four generations and diversity of professions, gender, abilities, ethnicities, beliefs, cultures etc. We are committed to represent the societies we operate in, promoting equality, equity and zero-tolerance for discrimination.If you are applying to a position and require any additional support in the interview process, please let us know how we can accommodate this.If you think that this role is what you could be doing next, apply now!
21/06/2026
Full time
Graduate IT & Automation Engineer (AI / Microsoft 365)Skip to main content Jotun uses "cookies" to give you the best possible web-site experience. We appreciate your interest in our web pages and would like to assure you that all personal information is handled securely. This page explains how Jotun handles the personal data we collect on our website. IT & Automation Engineer (AI / Microsoft 365) page is loaded Graduate IT & Automation Engineer (AI / Microsoft 365)Applylocations: Flixboroughtime type: Full timeposted on: Posted Yesterdayjob requisition id: R9984SUMMARY OF THE ROLETo support the development and implementation of AI-driven and Microsoft 365 automation solutions within a manufacturing environment, contributing to improved efficiency, digitalisation, and business performance. The role operates within a small local IT team, while collaborating closely with the global IT organisation, ensuring alignment with company standards, policies, and best practices. The position requires a proactive and structured approach, applying technology in a practical way to deliver value to operations, while demonstrating Jotun's values of Loyalty, Care, Respect, and Boldness. Key Responsibilities Digitalisation & Automation Design, develop, and maintain automation solutions using Microsoft 365 tools (Power Automate, Power Apps, SharePoint, Teams)Support the implementation of AI-based solutions to improve operational efficiencyIdentify opportunities for process improvement and digital transformationContribute to continuous improvement initiatives within the site Business Support Work closely with site functions (production, operations, engineering) to understand business needsTranslate operational requirements into practical and scalable IT solutionsProvide user support and assist in maintaining reliable and effective systems Collaboration & Global Alignment Collaborate with the global IT organisation to implement standardised solutionsFollow company policies, IT standards, and security requirementsParticipate in international projects and knowledge sharingSupport integration between local and global systems Governance & Compliance Ensure solutions align with IT policies, security standards, and operational proceduresMaintain proper documentation and support structured ways of workingContribute to safe, secure, and compliant use of technology End User Support/Training Assist and support end-users by trouble-shooting IT systems and software, registering and follow-up on caretaker tickets, provide training to ensure that Digital IT tools are used effectively and become a source of competitive advantageAssist the local IT team as and when requiredWHAT WE ARE LOOKING FOR AND WHAT WE OFFER Loyalty Acts as a reliable and trusted IT partnerCommits to company values, standards, and long-term solutionsBuilds strong relationships with colleagues and stakeholders Care Supports and enables colleagues through practical solutionsDemonstrates ownership and responsibility for tasks and outcomesWorks collaboratively and shares knowledge within the team Respect Communicates clearly and effectively with diverse stakeholdersValues different perspectives and promotes inclusive working practicesAdheres to policies, regulations, and ethical standards Boldness Takes initiative to explore new technologies and drive improvementChallenges existing processes constructivelyAdapts quickly to change and contributes to innovation Qualifications & Experience Essential Bachelor's degree (or equivalent) in IT, Computer Science, Engineering, or related disciplineStrong interest in AI, automation, and digitalisationAnalytical mindset and structured problem-solving skillsEffective communication skills (technical and non-technical audiences) Desirable Experience with Microsoft Power Platform (Power Automate, Power Apps)Exposure to AI tools, data analytics, or scripting (e.g., PowerShell, Python)Understanding of manufacturing or industrial environments Key Personal Attributes Proactive and self-driven approach to workAbility to work independently while contributing to a team environmentStrong willingness to learn and develop competenciesPractical mindset with a focus on delivering business value Working Relationships Local IT TeamSite Management and Operational TeamsGroup / Regional IT TeamsExternal Vendors (as required) What We Offer A hands-on role in a real-world manufacturing environmentOpportunity to contribute to AI and automation initiatives with visible impactStructured support from a global IT organisationContinuous competence development and learning opportunitiesExposure to international collaboration and travelA strong values-driven culture based on Loyalty, Care, Respect, and Boldness Application Information This role is ideal for graduates or early-career professionals seeking to apply modern technologies in a practical and operational setting, while developing within a global organisation. POSITION INFORMATION Company: Jotun Paints (Europe) Ltd Contract Type: Regular Time Type: Full time CLOSING DATE (dd.mm.yyyy): 23.07.2026WHO WE AREJotun in Europe and Central Asia (ECA) has 18 different legal entities and operates 7 production facilities. The region has approximately 2000 employees who work across four markets: Marine, Protective, Powder and Decorative. Jotun ECA is committed to an ambitious growth strategy. Our employees are the real value in our companies as individuals and teams. We strive to provide our employees with meaningful and challenging work, rewarding them through continued learning and development driven by our values of Loyalty, Care, Respect and Boldness.Jotun Paints (Europe) Ltd's head office is based in Scunthorpe, North Lincolnshire and the Factory has been operational for over 30 years producing coatings to be distributed throughout Europe. We also have various sales offices located around the UK and Ireland with the company employing more than 270 people working across the Marine, Protective, Powder and Decorative markets. The company is people orientated offering opportunities for progression, learning and development in a friendly and supportive work environment undepinned by Jotun's core values; Loyalty, Care, Respect and Boldness.Visit our Career Page to know more about life at Jotun.Jotun's company culture welcomes and values differences in people. Our more than 10,200 employees on all continents represent 90 nationalities, four generations and diversity of professions, gender, abilities, ethnicities, beliefs, cultures etc. We are committed to represent the societies we operate in, promoting equality, equity and zero-tolerance for discrimination.If you are applying to a position and require any additional support in the interview process, please let us know how we can accommodate this.If you think that this role is what you could be doing next, apply now!
What we do :At Sonoco Chesterfield we manufacture composite cans used as packaging mainly for food and powdered beverages.You have probably seen some of our products on the shelves in the supermarket: Pringles, the nation's favourite Bisto, Nestlé Coffee Mate, SlimFast powdered beverages, Heinz Baby Food, etc We are aiming to be one of the first fully paperboard cylindrical packing supplier, where our packaging is durable and 100% recyclablePurpose of Job:Within the operations department and reporting directly to the Engineering Manager, your role is to improve the efficiency and reliability of our plant manufacturing processes by application automation.Your day to day job will consist in:Supporting the production and engineering team through line breakdowns, supporting fault finding of the root cause and designing the issue out in the shortest period possible.You'll be supported by the shift engineer team; the process improvement engineers as well as our operators.Running Automation projects to plan for continued upgrade of equipment and control systems, ensuring none of our equipment becomes obsolete and out of date.You will also be involved in projects and day to day activities in our sister site at Bradford.Additional support required for: 5S, SMED, Centre lining, Process Control Automation, product defect identification systems, component lifespan identification.Machines installation & qualifications on site: Factory Acceptance Test, Commissioning, Team Training.New products introduction : trials of new materials and new products launch support at manufacturing level.Role within the company and stakeholder interactions:The candidate will report to the site Engineering Manager.The candidate will have to interact with multiple stakeholders on a day-to-day basis: Manufacturing, Engineering, Warehouse, Supply Chain , sister plants (based in Europe), SuppliersThe Automation Systems Engineer will be expected to be a subject matter expert and be able to guide/mentor engineers within the business.Key Activitiesprovide technical support to all areas daily across electrical, mechanical and automation disciplines.Configuration and programming of controllers and visualizations systems using Siemens (Simatic Manager and TIA Portal and WinCC flexible software).Project planning and programming of drive technology and servo drives - with emphasis on SEW Drive as well as Allen Bradley systems.Development, conception, design and creation of hardware / circuit diagrams.Automation troubleshooting following a recognisable troubleshooting process.Experience with bus systems and bus technology such as "Profinet" and "Profibus" with knowledge of systems such as ASI bus and CAN bus.Project Management and Project Coordination of site automation projects.Utilise AutoCad/Cad systems to maintain documentation updates, producing 2D CAD drawings of control panels, P&IDs and electrical wiring diagrams.Provide onsite services to assist in start-up or troubleshooting.Support and lead automation activities at both the Chesterfield and Bradford Production Sites.Develop HMI's for operator use.Coordinating with cross-functional team(s) to resolve automation issues.Write programs for new designed automatic and semi-automatic machines and conveyor systems for Siemens and Allen Bradley hardware.Debug and test new or modified PLC and robotic programs on the production floor.Conduct comprehensive machine and system testing.Ensure the department operates with due regard to current legislation, company and statutory requirementsEnsure the safe and efficient operation of equipment throughout the siteInstallation of production and plant equipment, commissioning, breakdown analysis and repairIdentify areas in which engineering improvements can be made to increase safety, quality, efficiency, or reduce wasteAssist with the training of company apprentices and shift EngineersAssist with developing operational manuals for newly designed machines and conveyor systems.Assist in risk assessment of newly designed machines with emphasis on machine safety.Help refine and develop programming standards and methods.Coordinate with other engineers and programmers on large systems and machines.Maintain and enhance the software and robotics solutions for the two sites.Maintain and document the appropriate software changes and updates to support equipment modifications and continuing operation.Work with Manufacturing/Operations to identify and troubleshoot machine control failures.Specify instrumentation and control hardware for equipment upgrades and future equipment lines.Will keep in line with new technology and advise the site accordinglyRunning testing and diagnostics on IT systems to identify potential problem.Identifying and resolving malfunctions within the system.Developing and installing new hardware or software to update and improve the functionality of systemsLiaising with outside suppliers or developers to source the most effective hardware or software for the company's needsCreating schematics plans of the systemBuilding robust backups that can be accessed in the event of system failure.Training shift Engineers and Process Improvement Engineers to work within the systems and to resolve issues on their own.Liaising with operational staff to ensure that systems can Complete designed tasks toLead improvement activities/projects across site, covering all equipment and facilities.Key Measurables:% Unplanned Downtime on focus machinery% Implementation of project work% People trained to correct operating level on focus machinery% People trained on problem solving$ saved by continuous improvement projects implementedCANDIDATE'S EXPERIENCEQualifications and ExperienceRequired:HNC/Degree qualified Electrical EngineeringProven Knowledge and experience in Siemens S5, S7, Allen Bradley. (this includes all aspects of drives, inverters and programming)Proven capability in Problem Solving (8D, Green Belt Lean 6 Sigma, UPS, A3, )Experience in a FMCG environmentDesirable:Graduate Masters / Bachelor in a Technical / Manufacturing / Sciences subject2 year or more of experience in a process control / engineering roleElectrically Biased multiskilled Engineering backgroundLean Six Sigma Green Belt qualified or equivalentSkills and KnowledgesAbility to analyse complex sets of data quickly.Priorities activities based on daily workload and medium projects.Ability to train and coach people.Excellent communication: written, spoken, visual.Excellent computer skills: mainly Microsoft Excel, PowerPoint, and emailPersonal AttributesMust be curious.Must be willing to learn and develop personal knowledge.Bias for action / Enthusiastic with drive for continuous improvementMust be an excellent team player with good interpersonal skills able to communicate at all levels.Logical with a key eye for detailsExcellent customer focus required.Must be willing to travel, both UK and EuropeWorking EnvironmentThe position is based in Chesterfield plant but can require visits to our manufacturing plants in UK & Europe as well as visits to our Suppliers or Customers in the UK. are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.
21/06/2026
Full time
What we do :At Sonoco Chesterfield we manufacture composite cans used as packaging mainly for food and powdered beverages.You have probably seen some of our products on the shelves in the supermarket: Pringles, the nation's favourite Bisto, Nestlé Coffee Mate, SlimFast powdered beverages, Heinz Baby Food, etc We are aiming to be one of the first fully paperboard cylindrical packing supplier, where our packaging is durable and 100% recyclablePurpose of Job:Within the operations department and reporting directly to the Engineering Manager, your role is to improve the efficiency and reliability of our plant manufacturing processes by application automation.Your day to day job will consist in:Supporting the production and engineering team through line breakdowns, supporting fault finding of the root cause and designing the issue out in the shortest period possible.You'll be supported by the shift engineer team; the process improvement engineers as well as our operators.Running Automation projects to plan for continued upgrade of equipment and control systems, ensuring none of our equipment becomes obsolete and out of date.You will also be involved in projects and day to day activities in our sister site at Bradford.Additional support required for: 5S, SMED, Centre lining, Process Control Automation, product defect identification systems, component lifespan identification.Machines installation & qualifications on site: Factory Acceptance Test, Commissioning, Team Training.New products introduction : trials of new materials and new products launch support at manufacturing level.Role within the company and stakeholder interactions:The candidate will report to the site Engineering Manager.The candidate will have to interact with multiple stakeholders on a day-to-day basis: Manufacturing, Engineering, Warehouse, Supply Chain , sister plants (based in Europe), SuppliersThe Automation Systems Engineer will be expected to be a subject matter expert and be able to guide/mentor engineers within the business.Key Activitiesprovide technical support to all areas daily across electrical, mechanical and automation disciplines.Configuration and programming of controllers and visualizations systems using Siemens (Simatic Manager and TIA Portal and WinCC flexible software).Project planning and programming of drive technology and servo drives - with emphasis on SEW Drive as well as Allen Bradley systems.Development, conception, design and creation of hardware / circuit diagrams.Automation troubleshooting following a recognisable troubleshooting process.Experience with bus systems and bus technology such as "Profinet" and "Profibus" with knowledge of systems such as ASI bus and CAN bus.Project Management and Project Coordination of site automation projects.Utilise AutoCad/Cad systems to maintain documentation updates, producing 2D CAD drawings of control panels, P&IDs and electrical wiring diagrams.Provide onsite services to assist in start-up or troubleshooting.Support and lead automation activities at both the Chesterfield and Bradford Production Sites.Develop HMI's for operator use.Coordinating with cross-functional team(s) to resolve automation issues.Write programs for new designed automatic and semi-automatic machines and conveyor systems for Siemens and Allen Bradley hardware.Debug and test new or modified PLC and robotic programs on the production floor.Conduct comprehensive machine and system testing.Ensure the department operates with due regard to current legislation, company and statutory requirementsEnsure the safe and efficient operation of equipment throughout the siteInstallation of production and plant equipment, commissioning, breakdown analysis and repairIdentify areas in which engineering improvements can be made to increase safety, quality, efficiency, or reduce wasteAssist with the training of company apprentices and shift EngineersAssist with developing operational manuals for newly designed machines and conveyor systems.Assist in risk assessment of newly designed machines with emphasis on machine safety.Help refine and develop programming standards and methods.Coordinate with other engineers and programmers on large systems and machines.Maintain and enhance the software and robotics solutions for the two sites.Maintain and document the appropriate software changes and updates to support equipment modifications and continuing operation.Work with Manufacturing/Operations to identify and troubleshoot machine control failures.Specify instrumentation and control hardware for equipment upgrades and future equipment lines.Will keep in line with new technology and advise the site accordinglyRunning testing and diagnostics on IT systems to identify potential problem.Identifying and resolving malfunctions within the system.Developing and installing new hardware or software to update and improve the functionality of systemsLiaising with outside suppliers or developers to source the most effective hardware or software for the company's needsCreating schematics plans of the systemBuilding robust backups that can be accessed in the event of system failure.Training shift Engineers and Process Improvement Engineers to work within the systems and to resolve issues on their own.Liaising with operational staff to ensure that systems can Complete designed tasks toLead improvement activities/projects across site, covering all equipment and facilities.Key Measurables:% Unplanned Downtime on focus machinery% Implementation of project work% People trained to correct operating level on focus machinery% People trained on problem solving$ saved by continuous improvement projects implementedCANDIDATE'S EXPERIENCEQualifications and ExperienceRequired:HNC/Degree qualified Electrical EngineeringProven Knowledge and experience in Siemens S5, S7, Allen Bradley. (this includes all aspects of drives, inverters and programming)Proven capability in Problem Solving (8D, Green Belt Lean 6 Sigma, UPS, A3, )Experience in a FMCG environmentDesirable:Graduate Masters / Bachelor in a Technical / Manufacturing / Sciences subject2 year or more of experience in a process control / engineering roleElectrically Biased multiskilled Engineering backgroundLean Six Sigma Green Belt qualified or equivalentSkills and KnowledgesAbility to analyse complex sets of data quickly.Priorities activities based on daily workload and medium projects.Ability to train and coach people.Excellent communication: written, spoken, visual.Excellent computer skills: mainly Microsoft Excel, PowerPoint, and emailPersonal AttributesMust be curious.Must be willing to learn and develop personal knowledge.Bias for action / Enthusiastic with drive for continuous improvementMust be an excellent team player with good interpersonal skills able to communicate at all levels.Logical with a key eye for detailsExcellent customer focus required.Must be willing to travel, both UK and EuropeWorking EnvironmentThe position is based in Chesterfield plant but can require visits to our manufacturing plants in UK & Europe as well as visits to our Suppliers or Customers in the UK. are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.
At OQC, we aren't just theorising about the future; we're building it. Born from a philosophy of bold innovation, we've successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we're just getting started. As a Quantum Software Engineer in our compiler team, your mission is to advance the performance of quantum systems by developing software that enables efficient compilation, execution, and optimisation of quantum programs. You'll play a key role in tackling some of the hardest challenges in the field-including quantum error mitigation and quantum error correction-to bring reliable quantum computing closer to reality. The Role You'll work at the intersection of quantum physics and software engineering, building core components of our quantum toolchain. Collaborating closely with internal teams and external stakeholders, you'll design, develop, and deploy scalable software solutions that directly impact how quantum computers are programmed and operated. What You'll Be Working On Owning end-to-end development of quantum software projects-from requirements through to deployment Designing and building components of the quantum toolchain (e.g. qubit routing, placement, circuit optimisation, pulse scheduling) Collaborating on solutions for quantum error mitigation and quantum error correction, improving system reliability and performance Translating high-level quantum programs into instructions optimised for execution on quantum hardware Debugging and resolving issues across development and production environments Collaborating with engineers through pair programming, code reviews, and shared problem solving Contributing to research, innovation, and knowledge sharing across the team and wider quantum community What We're Looking For Strong programming experience in Python and familiarity with modern software engineering practices Solid understanding of computer science fundamentals (algorithms, data structures, systems design) Experience designing and delivering complex software systems from concept to production Knowledge of quantum computing principles, with particular emphasis on quantum error correction / error mitigation techniques and quantum circuits compilation principles Ability to debug complex systems and take ownership of production-quality code Strong communication skills and ability to collaborate across technical and non-technical stakeholders Degree-level knowledge in computer science or a related numerical discipline The 'Nice-to-Haves' Hands on experience working with quantum computers or quantum software stacks Experience developing algorithms for quantum systems, particularly in error correction or noise aware optimisation Background in quantum theory or superconducting circuits Experience with distributed systems, message brokers, or data streaming tools Contributions to research, publications, or conference presentations in quantum technologies Postgraduate qualification (MSc or PhD) in a relevant field Why Join OQC You will join a world-class team at the forefront of the next computational era. We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation. Learn more about our benefits and positive work culture here:
21/06/2026
Full time
At OQC, we aren't just theorising about the future; we're building it. Born from a philosophy of bold innovation, we've successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we're just getting started. As a Quantum Software Engineer in our compiler team, your mission is to advance the performance of quantum systems by developing software that enables efficient compilation, execution, and optimisation of quantum programs. You'll play a key role in tackling some of the hardest challenges in the field-including quantum error mitigation and quantum error correction-to bring reliable quantum computing closer to reality. The Role You'll work at the intersection of quantum physics and software engineering, building core components of our quantum toolchain. Collaborating closely with internal teams and external stakeholders, you'll design, develop, and deploy scalable software solutions that directly impact how quantum computers are programmed and operated. What You'll Be Working On Owning end-to-end development of quantum software projects-from requirements through to deployment Designing and building components of the quantum toolchain (e.g. qubit routing, placement, circuit optimisation, pulse scheduling) Collaborating on solutions for quantum error mitigation and quantum error correction, improving system reliability and performance Translating high-level quantum programs into instructions optimised for execution on quantum hardware Debugging and resolving issues across development and production environments Collaborating with engineers through pair programming, code reviews, and shared problem solving Contributing to research, innovation, and knowledge sharing across the team and wider quantum community What We're Looking For Strong programming experience in Python and familiarity with modern software engineering practices Solid understanding of computer science fundamentals (algorithms, data structures, systems design) Experience designing and delivering complex software systems from concept to production Knowledge of quantum computing principles, with particular emphasis on quantum error correction / error mitigation techniques and quantum circuits compilation principles Ability to debug complex systems and take ownership of production-quality code Strong communication skills and ability to collaborate across technical and non-technical stakeholders Degree-level knowledge in computer science or a related numerical discipline The 'Nice-to-Haves' Hands on experience working with quantum computers or quantum software stacks Experience developing algorithms for quantum systems, particularly in error correction or noise aware optimisation Background in quantum theory or superconducting circuits Experience with distributed systems, message brokers, or data streaming tools Contributions to research, publications, or conference presentations in quantum technologies Postgraduate qualification (MSc or PhD) in a relevant field Why Join OQC You will join a world-class team at the forefront of the next computational era. We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation. Learn more about our benefits and positive work culture here:
Salary: £80,000 - 80,000 per year Requirements We require a BSc or BEng in Electronics, Computer Science, Software Engineering, or a similar relevant subject. We require extensive post-graduate experience in software and firmware engineering. We require proven experience in a functional leadership or technical lead role, including project delivery and mentoring engineers. We require demonstrated experience delivering complex, cross-functional embedded software projects. We require strong commercial experience developing bare-metal embedded firmware in C, including direct interaction with MCU peripherals, registers, interrupts, memory, and hardware interfaces. We require hands-on experience developing and debugging low-level embedded drivers and firmware on microcontroller-based platforms. We require proven experience integrating firmware with hardware, diagnosing hardware/software issues, and working with datasheets, schematics, and debugging tools. We require the ability to interpret hardware specifications, datasheets, and system requirements to support firmware development and product integration. We value experience with Python, MATLAB, or LabVIEW. We value knowledge of Digital Signal Processing or image processing. We value familiarity with test-driven development and behaviour-driven development. We value experience with defect tracking and task management tools. Responsibilities We lead end-to-end development of embedded software and capacitive sensing algorithms. We define and drive software architecture and firmware design decisions. We manage project delivery, ensuring timelines, quality, and customer expectations are met. We mentor and support junior and mid-level engineers. We facilitate Agile and SCRUM processes, including sprint planning and retrospectives. We collaborate with cross-functional teams including IC design, hardware, and applications. We identify and manage technical risks, dependencies, and trade-offs. We act as a technical interface with customers, supporting system integration. We develop firmware using Embedded C and Assembler. We perform model-based design using Python, MATLAB, or similar tools. We design, simulate, and optimise touch sensing and signal processing algorithms. We develop and debug low-level drivers for MCU peripherals. We support integration with customer hardware and operating systems. We work within a continuous delivery environment for consumer electronics. Technologies AI Embedded Firmware Hardware Support Matlab Python C++ TDD More We are a fast-growing, innovative organisation based in Whiteley, Fareham, at the forefront of semiconductor technology, embedded systems, and capacitive touch solutions. This is an exciting opportunity to join our collaborative, fast-paced engineering environment and take on a technical leadership role in embedded software engineering. We offer hybrid working with modern office facilities, private healthcare, mental health and wellbeing support programmes, and opportunities to work on cutting-edge embedded and touch technologies. We also provide a culture that encourages innovation, learning, and professional growth, with the chance to help shape products that push the boundaries of touch technology, AI data processing, and connected devices.
21/06/2026
Full time
Salary: £80,000 - 80,000 per year Requirements We require a BSc or BEng in Electronics, Computer Science, Software Engineering, or a similar relevant subject. We require extensive post-graduate experience in software and firmware engineering. We require proven experience in a functional leadership or technical lead role, including project delivery and mentoring engineers. We require demonstrated experience delivering complex, cross-functional embedded software projects. We require strong commercial experience developing bare-metal embedded firmware in C, including direct interaction with MCU peripherals, registers, interrupts, memory, and hardware interfaces. We require hands-on experience developing and debugging low-level embedded drivers and firmware on microcontroller-based platforms. We require proven experience integrating firmware with hardware, diagnosing hardware/software issues, and working with datasheets, schematics, and debugging tools. We require the ability to interpret hardware specifications, datasheets, and system requirements to support firmware development and product integration. We value experience with Python, MATLAB, or LabVIEW. We value knowledge of Digital Signal Processing or image processing. We value familiarity with test-driven development and behaviour-driven development. We value experience with defect tracking and task management tools. Responsibilities We lead end-to-end development of embedded software and capacitive sensing algorithms. We define and drive software architecture and firmware design decisions. We manage project delivery, ensuring timelines, quality, and customer expectations are met. We mentor and support junior and mid-level engineers. We facilitate Agile and SCRUM processes, including sprint planning and retrospectives. We collaborate with cross-functional teams including IC design, hardware, and applications. We identify and manage technical risks, dependencies, and trade-offs. We act as a technical interface with customers, supporting system integration. We develop firmware using Embedded C and Assembler. We perform model-based design using Python, MATLAB, or similar tools. We design, simulate, and optimise touch sensing and signal processing algorithms. We develop and debug low-level drivers for MCU peripherals. We support integration with customer hardware and operating systems. We work within a continuous delivery environment for consumer electronics. Technologies AI Embedded Firmware Hardware Support Matlab Python C++ TDD More We are a fast-growing, innovative organisation based in Whiteley, Fareham, at the forefront of semiconductor technology, embedded systems, and capacitive touch solutions. This is an exciting opportunity to join our collaborative, fast-paced engineering environment and take on a technical leadership role in embedded software engineering. We offer hybrid working with modern office facilities, private healthcare, mental health and wellbeing support programmes, and opportunities to work on cutting-edge embedded and touch technologies. We also provide a culture that encourages innovation, learning, and professional growth, with the chance to help shape products that push the boundaries of touch technology, AI data processing, and connected devices.
Forward Deployed Software Engineer Engineering at Ameba is a rare opportunity to build cutting edge software in a traditional industry, while being generously rewarded for your contributions. If you've never considered working in supply chains before, everything around you, including the device you're reading this on, has a story of how it got there. Raw material to finished product, that story is the supply chain. If the unseen machinery of the world sparks something in you, we'd love to talk! We're a startup made up of experienced entrepreneurs (who have previously raised $160m+) and builders (ex Meta, Palantir, Microsoft, Quant Devs, UnlikelyAI). We have big ambitions and are backed by some of the most successful investors in Europe. We've raised over $9M since our launch just over a year ago. Your role as a Forward Deployed Software Engineer As a Forward Deployed Engineer, you'll be embedded directly with customers, turning vague, ambiguous problems into production software, often in days, not months. This isn't a back office role. You'll be side by side with our most important customers, from high tech manufacturers to global fashion houses, diving into their workflows, spotting opportunities to extend or iterate on the product, and rapidly building tools that make their operations more efficient and intelligent. In this role, you'll flex across the full stack: writing backend in Kotlin, crafting frontends in React/TypeScript, deploying infrastructure in AWS, and tweaking our ML agents. In this role, you'll have full autonomy to take ideas from concept to a deployed solution, and will work hand in hand with our CTO and engineering team to make Ameba deployments a success. Life at Ameba We pride ourselves on providing top of market salaries and generous equity packages to all employees. We're assembling a lean team of exceptionally talented individuals and aim to reward them accordingly. We enjoy collaborating together in the office, typically five days a week, for easy, high bandwidth conversations. While we provide flexibility to work from home when necessary, our primary focus at this early stage is creating a strong office first experience. We offer 28 holiday days per year, and we shut down entirely over the holiday season for 2 weeks, allowing everyone to disconnect completely. We provide four months of maternity and paternity leave at 100% salary. We offer comprehensive healthcare and dental cover. The salary range for this role is £80,000 £130,000 + equity. The salary for this position is determined by several factors, such as experience, relevant skills, business needs, or market demands. You will have the opportunity to visit customers at their place of work, both in the UK and outside it! We currently work with customers in Portugal, the Netherlands, and more. Qualifications Essential: Minimum 3 years of experience as a software engineer. 2+ years of experience with React/TypeScript and an Object Oriented Programming Language (Java, Scala, Kotlin, C#, C++). Proven experience in building and shipping software, involving collaboration with other engineers, designers, product managers, and users to identify and implement solutions based on customer needs. 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems. Desirable: Prior experience as a Forward Deployed Software Engineer. Undergraduate or Masters degree in Computer Science (or related fields). Experience with AWS and Docker. Interest in AI, and familiarity with building LLM based agents. Exposure to contract first development (OpenAPI, gRPC/Protocol Buffers). Ability to design scalable and efficient system architectures. Ability to navigate rapidly changing priorities in a growing startup environment. Optional Previous experience working at a startup or a keen interest in startups.
21/06/2026
Full time
Forward Deployed Software Engineer Engineering at Ameba is a rare opportunity to build cutting edge software in a traditional industry, while being generously rewarded for your contributions. If you've never considered working in supply chains before, everything around you, including the device you're reading this on, has a story of how it got there. Raw material to finished product, that story is the supply chain. If the unseen machinery of the world sparks something in you, we'd love to talk! We're a startup made up of experienced entrepreneurs (who have previously raised $160m+) and builders (ex Meta, Palantir, Microsoft, Quant Devs, UnlikelyAI). We have big ambitions and are backed by some of the most successful investors in Europe. We've raised over $9M since our launch just over a year ago. Your role as a Forward Deployed Software Engineer As a Forward Deployed Engineer, you'll be embedded directly with customers, turning vague, ambiguous problems into production software, often in days, not months. This isn't a back office role. You'll be side by side with our most important customers, from high tech manufacturers to global fashion houses, diving into their workflows, spotting opportunities to extend or iterate on the product, and rapidly building tools that make their operations more efficient and intelligent. In this role, you'll flex across the full stack: writing backend in Kotlin, crafting frontends in React/TypeScript, deploying infrastructure in AWS, and tweaking our ML agents. In this role, you'll have full autonomy to take ideas from concept to a deployed solution, and will work hand in hand with our CTO and engineering team to make Ameba deployments a success. Life at Ameba We pride ourselves on providing top of market salaries and generous equity packages to all employees. We're assembling a lean team of exceptionally talented individuals and aim to reward them accordingly. We enjoy collaborating together in the office, typically five days a week, for easy, high bandwidth conversations. While we provide flexibility to work from home when necessary, our primary focus at this early stage is creating a strong office first experience. We offer 28 holiday days per year, and we shut down entirely over the holiday season for 2 weeks, allowing everyone to disconnect completely. We provide four months of maternity and paternity leave at 100% salary. We offer comprehensive healthcare and dental cover. The salary range for this role is £80,000 £130,000 + equity. The salary for this position is determined by several factors, such as experience, relevant skills, business needs, or market demands. You will have the opportunity to visit customers at their place of work, both in the UK and outside it! We currently work with customers in Portugal, the Netherlands, and more. Qualifications Essential: Minimum 3 years of experience as a software engineer. 2+ years of experience with React/TypeScript and an Object Oriented Programming Language (Java, Scala, Kotlin, C#, C++). Proven experience in building and shipping software, involving collaboration with other engineers, designers, product managers, and users to identify and implement solutions based on customer needs. 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems. Desirable: Prior experience as a Forward Deployed Software Engineer. Undergraduate or Masters degree in Computer Science (or related fields). Experience with AWS and Docker. Interest in AI, and familiarity with building LLM based agents. Exposure to contract first development (OpenAPI, gRPC/Protocol Buffers). Ability to design scalable and efficient system architectures. Ability to navigate rapidly changing priorities in a growing startup environment. Optional Previous experience working at a startup or a keen interest in startups.
Overview This role will be based on site, primarily in the named location, at Saith Ltd's premises in Hampshire. You will be employed by the University of Derby as a KTP Associate but work under the terms and conditions of Saith Ltd. The University of Derby's College of Science and Engineering in partnership with Saith Ltd is offering a career development opportunity to manage and deliver a challenging strategic Knowledge Transfer Partnership (KTP) project. Responsibilities Lead the design, development, and deployment of a practical, production ready AI enabled Digital Twin platform to support intelligent asset management within energy and utility infrastructure. Own the end to end system lifecycle, integrating multi source data including BIM, LiDAR, point cloud, and operational datasets to develop solutions for automated inspection, anomaly detection, predictive maintenance, and intelligent decision support. Ensure solutions are commercially viable, aligned with client requirements, and deliver measurable operational value. Contribute directly to live engineering projects, ensuring solutions are effectively integrated, validated, and deliver real world impact. Support the adoption of AI and Digital Twin technologies within Saith through training, knowledge transfer, and integration into operational workflows. Lead pilot deployment, system testing, and performance evaluation in real world environments. Deliver practical, deployable outputs within the KTP timeframe, prioritising implementation and operational impact. Qualifications A Master's degree in Artificial Intelligence, Computer Vision, Computer Science, Software Engineering, or a closely related discipline. Experience Experience of translating business or operational requirements into technical solutions. Experience of working with complex or multi modal datasets, including spatial, temporal, 3D, LiDAR, point cloud, BIM, or sensor data. Experience of data engineering and pipeline development, including Extract, Transform, and Load processes. Experience in computer vision and visual AI, including classification, detection, segmentation, or anomaly identification tasks. Experience of developing and validating machine learning models, including performance evaluation using structured datasets and/or SQL based systems. Experience of designing and delivering end to end AI, analytics, and Digital Twin solutions, including deployment and integration with user fac ing applications (e.g., dashboards). Experience of Digital Twin or simulation based systems. Experience of optimisation, simulation, or scenario based modelling approaches. Experience deploying AI or analytics solutions in cloud or production environments (e.g., AWS, Azure, or similar). Experience of applying computer vision techniques in real world or industrial scenarios. Experience of working with engineering or spatial datasets, such as BIM, LiDAR, point cloud, or 3D data. Experience of working with annotated visual datasets for computer vision tasks in infrastructure, inspection, or engineering contexts. Skills, knowledge & abilities Strong programming skills in Python for data engineering and machine learning, with familiarity in computer vision frameworks (e.g., OpenCV, PyTorch, TensorFlow, or similar). Sound understanding of machine learning workflows, including model design, development, validation, and performance evaluation. Understanding of computer vision workflows, including classification, detection, segmentation, or related recognition tasks. Ability to design and implement scalable analytical or AI based solutions for real world environments. Be conversant with version control (e.g., Git) and writing reproducible, well documented code. Understanding of data pipelines, cloud based systems, or distributed data processing environments. Familiarity with data visualisation and dashboard tools for communicating insights. Experience handling large, complex, or multi modal datasets in operational settings. Excellent written and verbal communication skills, with the ability to present complex ideas to both technical and non technical audiences. Ability to work independently and collaboratively within multidisciplinary teams. Strong organisational skills with the ability to prioritise tasks and meet deadlines. Results driven problem solving ability with a pragmatic and solution oriented approach. Alignment with organisational values and professional conduct standards. Business Requirements This is an office based role requiring a consistent and visible presence within the office to support effective communication, collaboration, and project delivery. Travel to client offices, project sites, and other business locations may be required in line with operational needs. Willingness to work flexibly and respond to project needs and stakeholder expectations. Willingness to travel between project sites across the UK and Ireland (if required). Knowledge Transfer Partnership (KTP) This full time post is part funded by the UK Government's KTP programme. A KTP is a three way project between a graduate, an organisation and a university. In addition to a competitive salary and core KTP development training, you will have a dedicated budget of £4,000 for further training and career development. Visit: ktp-uk.org/graduates for more information. Visa Eligibility The offered salary for this role is less than the going rate for the occupation and the minimum salary threshold for the Skilled Worker route (£41,700 per annum, as of 22nd July 2025). Therefore you will only be eligible to apply for a Skilled Worker visa subject to your individual circumstances which must meet one of the following criteria set out by UKVI: Your job is on the Immigration Skills List. You're under 26, studying or a recent graduate, or in professional training. You have a PhD level qualification that's relevant to your job. You have a postdoctoral position in science or higher education. The University of Derby is committed to promoting equity, diversity and inclusion, regardless of age, disability, trans status, marriage and civil partnership, pregnancy and maternity, race, religion or belief (or none), sex and sexual orientation. We are Disability Confident Employers, demonstrating our commitment to disability inclusion, and invite applicants to highlight adjustments they may require to ensure equitable participation in our recruitment processes. We are committed to ensuring an environment which is trans and non binary inclusive for all our staff, students, partners and visitors, and continuously review our policies, guidance and training. When applying to join the University, you can choose your preferred title, including the gender neutral title 'Mx'. We also ask our candidates if they would like to share their preferred pronouns. This is voluntary but demonstrates our commitment to inclusivity for trans and non binary candidates. Once employed, you can add pronouns and preferred names onto our system. The University of Derby undertakes anonymised shortlisting during the staff recruitment process. This means that, when shortlisting, panel members will not be able to see an applicant's name and will see an applicant number instead. This demonstrates the practical steps we are taking to remove barriers to recruitment by minimising the possible impact of our unconscious bias. The University of Derby is committed to safeguarding and promoting the welfare of all our staff, students and children. At the University of Derby, safeguarding is everybody's concern.
20/06/2026
Full time
Overview This role will be based on site, primarily in the named location, at Saith Ltd's premises in Hampshire. You will be employed by the University of Derby as a KTP Associate but work under the terms and conditions of Saith Ltd. The University of Derby's College of Science and Engineering in partnership with Saith Ltd is offering a career development opportunity to manage and deliver a challenging strategic Knowledge Transfer Partnership (KTP) project. Responsibilities Lead the design, development, and deployment of a practical, production ready AI enabled Digital Twin platform to support intelligent asset management within energy and utility infrastructure. Own the end to end system lifecycle, integrating multi source data including BIM, LiDAR, point cloud, and operational datasets to develop solutions for automated inspection, anomaly detection, predictive maintenance, and intelligent decision support. Ensure solutions are commercially viable, aligned with client requirements, and deliver measurable operational value. Contribute directly to live engineering projects, ensuring solutions are effectively integrated, validated, and deliver real world impact. Support the adoption of AI and Digital Twin technologies within Saith through training, knowledge transfer, and integration into operational workflows. Lead pilot deployment, system testing, and performance evaluation in real world environments. Deliver practical, deployable outputs within the KTP timeframe, prioritising implementation and operational impact. Qualifications A Master's degree in Artificial Intelligence, Computer Vision, Computer Science, Software Engineering, or a closely related discipline. Experience Experience of translating business or operational requirements into technical solutions. Experience of working with complex or multi modal datasets, including spatial, temporal, 3D, LiDAR, point cloud, BIM, or sensor data. Experience of data engineering and pipeline development, including Extract, Transform, and Load processes. Experience in computer vision and visual AI, including classification, detection, segmentation, or anomaly identification tasks. Experience of developing and validating machine learning models, including performance evaluation using structured datasets and/or SQL based systems. Experience of designing and delivering end to end AI, analytics, and Digital Twin solutions, including deployment and integration with user fac ing applications (e.g., dashboards). Experience of Digital Twin or simulation based systems. Experience of optimisation, simulation, or scenario based modelling approaches. Experience deploying AI or analytics solutions in cloud or production environments (e.g., AWS, Azure, or similar). Experience of applying computer vision techniques in real world or industrial scenarios. Experience of working with engineering or spatial datasets, such as BIM, LiDAR, point cloud, or 3D data. Experience of working with annotated visual datasets for computer vision tasks in infrastructure, inspection, or engineering contexts. Skills, knowledge & abilities Strong programming skills in Python for data engineering and machine learning, with familiarity in computer vision frameworks (e.g., OpenCV, PyTorch, TensorFlow, or similar). Sound understanding of machine learning workflows, including model design, development, validation, and performance evaluation. Understanding of computer vision workflows, including classification, detection, segmentation, or related recognition tasks. Ability to design and implement scalable analytical or AI based solutions for real world environments. Be conversant with version control (e.g., Git) and writing reproducible, well documented code. Understanding of data pipelines, cloud based systems, or distributed data processing environments. Familiarity with data visualisation and dashboard tools for communicating insights. Experience handling large, complex, or multi modal datasets in operational settings. Excellent written and verbal communication skills, with the ability to present complex ideas to both technical and non technical audiences. Ability to work independently and collaboratively within multidisciplinary teams. Strong organisational skills with the ability to prioritise tasks and meet deadlines. Results driven problem solving ability with a pragmatic and solution oriented approach. Alignment with organisational values and professional conduct standards. Business Requirements This is an office based role requiring a consistent and visible presence within the office to support effective communication, collaboration, and project delivery. Travel to client offices, project sites, and other business locations may be required in line with operational needs. Willingness to work flexibly and respond to project needs and stakeholder expectations. Willingness to travel between project sites across the UK and Ireland (if required). Knowledge Transfer Partnership (KTP) This full time post is part funded by the UK Government's KTP programme. A KTP is a three way project between a graduate, an organisation and a university. In addition to a competitive salary and core KTP development training, you will have a dedicated budget of £4,000 for further training and career development. Visit: ktp-uk.org/graduates for more information. Visa Eligibility The offered salary for this role is less than the going rate for the occupation and the minimum salary threshold for the Skilled Worker route (£41,700 per annum, as of 22nd July 2025). Therefore you will only be eligible to apply for a Skilled Worker visa subject to your individual circumstances which must meet one of the following criteria set out by UKVI: Your job is on the Immigration Skills List. You're under 26, studying or a recent graduate, or in professional training. You have a PhD level qualification that's relevant to your job. You have a postdoctoral position in science or higher education. The University of Derby is committed to promoting equity, diversity and inclusion, regardless of age, disability, trans status, marriage and civil partnership, pregnancy and maternity, race, religion or belief (or none), sex and sexual orientation. We are Disability Confident Employers, demonstrating our commitment to disability inclusion, and invite applicants to highlight adjustments they may require to ensure equitable participation in our recruitment processes. We are committed to ensuring an environment which is trans and non binary inclusive for all our staff, students, partners and visitors, and continuously review our policies, guidance and training. When applying to join the University, you can choose your preferred title, including the gender neutral title 'Mx'. We also ask our candidates if they would like to share their preferred pronouns. This is voluntary but demonstrates our commitment to inclusivity for trans and non binary candidates. Once employed, you can add pronouns and preferred names onto our system. The University of Derby undertakes anonymised shortlisting during the staff recruitment process. This means that, when shortlisting, panel members will not be able to see an applicant's name and will see an applicant number instead. This demonstrates the practical steps we are taking to remove barriers to recruitment by minimising the possible impact of our unconscious bias. The University of Derby is committed to safeguarding and promoting the welfare of all our staff, students and children. At the University of Derby, safeguarding is everybody's concern.
This role is an entry point into the SRE team. You'll work directly alongside senior engineers, learning how we operate production environments, instrument systems with Datadog, and respond to incidents. From the start you'll contribute to real work, monitoring customer environments, writing runbooks, supporting infrastructure changes, with progressively more ownership as your confidence and knowledge grows. Responsibilities Monitor customer AWS and Azure environments using Datadog, learning to triage alerts, identify signal from noise, and escalating with context. Support incident response workflows alongside senior engineers, contributing to post mortem documentation and remediation tracking. Assist with Datadog onboarding and instrumentation for new customers: agents, integrations, dashboards, monitors, and log pipelines. Support infrastructure as code work (Terraform) for provisioning and configuration changes across customer accounts, under senior review. Write and maintain runbooks and operational documentation, clear, accurate, and usable by anyone on the team at 3 am. Participate in proactive reliability reviews: alert tuning, capacity checks, dependency mapping, with guidance from senior engineers. Contribute to internal tooling and AI assisted automation initiatives as part of the wider engineering team. Communicate directly with customers on day to day operational queries with a professional, calm, and clear style. Qualifications - Must Have A degree in Computer Science, Software Engineering, or a related technical discipline or equivalent demonstrable self taught fundamentals. Comfort with scripting in Bash, Python, or similar; you've automated something, even if small. Understanding of core observability concepts: what metrics, logs, and traces are and what they tell you. Awareness of cloud fundamentals; you know what EC2, S3, VPCs, and load balancers do, even without production experience. Clear written and verbal communication; you'll be in customer facing situations from early on. Right to work in the UK without sponsorship. Qualifications - Nice to Have Any hands on Datadog experience, trial, personal project, or university lab. Terraform or any infrastructure as code exposure. Docker or Kubernetes, even containerising a personal project counts. A cloud certification (AWS Cloud Practitioner, Azure Fundamentals, or equivalent). Experience in a customer facing environment, even outside tech. Any personal projects involving monitoring, automation, or infrastructure. Benefits 25 days holiday + bank holidays plus a paid day off in your birthday month, taken in the month it falls. Holiday grows with tenure: +1 day per year after your second work anniversary, up to 28 days total. Enhanced maternity pay: 26 weeks at your full basic salary. Enhanced paternity pay: 2 weeks at your full basic salary. Datadog, AWS, and Azure certifications paid by the company, contractual, not discretionary. AI tooling certifications also funded, staying current is part of the role. Flexible working requests from your first day of employment, statutory right, supported in full. Company provided laptop and peripherals, set up before you start. On call allowance (in addition to base salary): SREs join a shared rota, typically one week in five or six, reducing as the team grows. Paid £500 per on call week, which works out at roughly £5-6k a year on top of salary, varying with the rota size. Base salary DOE. Remote first. UK based, async friendly. Certs funded. Tech Stack Datadog Core observability platform. AWS primary cloud, multi account. Azure secondary cloud workloads. Terraform infrastructure as code. GitHub Actions CI/CD pipelines. Python / Bash automation & tooling.
20/06/2026
Full time
This role is an entry point into the SRE team. You'll work directly alongside senior engineers, learning how we operate production environments, instrument systems with Datadog, and respond to incidents. From the start you'll contribute to real work, monitoring customer environments, writing runbooks, supporting infrastructure changes, with progressively more ownership as your confidence and knowledge grows. Responsibilities Monitor customer AWS and Azure environments using Datadog, learning to triage alerts, identify signal from noise, and escalating with context. Support incident response workflows alongside senior engineers, contributing to post mortem documentation and remediation tracking. Assist with Datadog onboarding and instrumentation for new customers: agents, integrations, dashboards, monitors, and log pipelines. Support infrastructure as code work (Terraform) for provisioning and configuration changes across customer accounts, under senior review. Write and maintain runbooks and operational documentation, clear, accurate, and usable by anyone on the team at 3 am. Participate in proactive reliability reviews: alert tuning, capacity checks, dependency mapping, with guidance from senior engineers. Contribute to internal tooling and AI assisted automation initiatives as part of the wider engineering team. Communicate directly with customers on day to day operational queries with a professional, calm, and clear style. Qualifications - Must Have A degree in Computer Science, Software Engineering, or a related technical discipline or equivalent demonstrable self taught fundamentals. Comfort with scripting in Bash, Python, or similar; you've automated something, even if small. Understanding of core observability concepts: what metrics, logs, and traces are and what they tell you. Awareness of cloud fundamentals; you know what EC2, S3, VPCs, and load balancers do, even without production experience. Clear written and verbal communication; you'll be in customer facing situations from early on. Right to work in the UK without sponsorship. Qualifications - Nice to Have Any hands on Datadog experience, trial, personal project, or university lab. Terraform or any infrastructure as code exposure. Docker or Kubernetes, even containerising a personal project counts. A cloud certification (AWS Cloud Practitioner, Azure Fundamentals, or equivalent). Experience in a customer facing environment, even outside tech. Any personal projects involving monitoring, automation, or infrastructure. Benefits 25 days holiday + bank holidays plus a paid day off in your birthday month, taken in the month it falls. Holiday grows with tenure: +1 day per year after your second work anniversary, up to 28 days total. Enhanced maternity pay: 26 weeks at your full basic salary. Enhanced paternity pay: 2 weeks at your full basic salary. Datadog, AWS, and Azure certifications paid by the company, contractual, not discretionary. AI tooling certifications also funded, staying current is part of the role. Flexible working requests from your first day of employment, statutory right, supported in full. Company provided laptop and peripherals, set up before you start. On call allowance (in addition to base salary): SREs join a shared rota, typically one week in five or six, reducing as the team grows. Paid £500 per on call week, which works out at roughly £5-6k a year on top of salary, varying with the rota size. Base salary DOE. Remote first. UK based, async friendly. Certs funded. Tech Stack Datadog Core observability platform. AWS primary cloud, multi account. Azure secondary cloud workloads. Terraform infrastructure as code. GitHub Actions CI/CD pipelines. Python / Bash automation & tooling.
About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self service availability for financial institutions and retailers across the globe. Key Areas of Responsibility Develop and maintain high quality Python applications, APIs, and data pipelines with guidance from senior engineers. Assist in the build and configuration of Azure cloud services (Azure Functions, Azure Data Factory, Azure SQL, Azure Storage). Write and maintain Terraform code to provision and manage cloud infrastructure. Contribute to CI/CD pipelines, automated testing, and containerised deployments (Docker). Participate in code reviews, giving and receiving constructive feedback to improve code quality. Investigate and resolve software defects, escalating complex issues to senior team members as needed. Prepare and maintain clear technical documentation. Collaborate effectively with developers, data engineers, QA, and the technical team lead. Contribute to sprint ceremonies, stand ups, and backlog refinement. Follow established engineering best practices for security, observability, and data governance. Required Skills & Experience Minimum Bachelor's Degree in Computer Science, Software Engineering, Data Science, or a related field (equivalent experience will also be considered). Foundational knowledge of Python programming. Understanding of software development principles (version control, testing, debugging). Familiarity with SQL and relational databases. Good methodical problem solving skills. Strong communication skills both written and verbal. Ability to work effectively in a team environment composed of peers and cross functional members. Eagerness to learn and a strong desire for quality. Ability to manage multiple tasks and prioritise effectively. Preferred Qualifications (Advantageous but Not Essential) Exposure to cloud platforms, particularly Microsoft Azure. Awareness of Infrastructure as Code concepts (Terraform, ARM templates). Experience with containerisation (Docker). Familiarity with CI/CD tools (Azure DevOps, GitHub Actions, or similar). Exposure to data engineering concepts (ETL/ELT, data pipelines). Use or awareness of bug tracking and version control systems (Git, Azure DevOps). EEO Statement NCR Atleos is an equal opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.
20/06/2026
Full time
About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self service availability for financial institutions and retailers across the globe. Key Areas of Responsibility Develop and maintain high quality Python applications, APIs, and data pipelines with guidance from senior engineers. Assist in the build and configuration of Azure cloud services (Azure Functions, Azure Data Factory, Azure SQL, Azure Storage). Write and maintain Terraform code to provision and manage cloud infrastructure. Contribute to CI/CD pipelines, automated testing, and containerised deployments (Docker). Participate in code reviews, giving and receiving constructive feedback to improve code quality. Investigate and resolve software defects, escalating complex issues to senior team members as needed. Prepare and maintain clear technical documentation. Collaborate effectively with developers, data engineers, QA, and the technical team lead. Contribute to sprint ceremonies, stand ups, and backlog refinement. Follow established engineering best practices for security, observability, and data governance. Required Skills & Experience Minimum Bachelor's Degree in Computer Science, Software Engineering, Data Science, or a related field (equivalent experience will also be considered). Foundational knowledge of Python programming. Understanding of software development principles (version control, testing, debugging). Familiarity with SQL and relational databases. Good methodical problem solving skills. Strong communication skills both written and verbal. Ability to work effectively in a team environment composed of peers and cross functional members. Eagerness to learn and a strong desire for quality. Ability to manage multiple tasks and prioritise effectively. Preferred Qualifications (Advantageous but Not Essential) Exposure to cloud platforms, particularly Microsoft Azure. Awareness of Infrastructure as Code concepts (Terraform, ARM templates). Experience with containerisation (Docker). Familiarity with CI/CD tools (Azure DevOps, GitHub Actions, or similar). Exposure to data engineering concepts (ETL/ELT, data pipelines). Use or awareness of bug tracking and version control systems (Git, Azure DevOps). EEO Statement NCR Atleos is an equal opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.
Software EngineerApplylocations: London (82)time type: Full timeposted on: Posted Todayjob requisition id: JR101483 The Department: Join the team that is responsible for designing, implementing & continuously evolving trade capture & middle office systems in our new fully systematic trading booking platform. The engineering team will work closely with trading tech, portfolio finance & middle office operations teams in a fast-paced environment. The successful candidate must possess strong knowledge & experience of designing & implementing distributed and scalable multi-asset class (equities, swaps, futures & fx) trade booking, reconciliation and reporting systems using microservices architecture.The engineering team is part of systematic technology group responsible to design, implement and evolve systems required to enable the real time trade booking, t0/t1 reconciliations & reporting. MAIN DUTIES/RESPONSIBILITIES OF THE ROLE: Design, develop and evolve highly scalable & reliable trade processing, reconciliation & reporting platform. WORK EXPERIENCE/BACKGROUND /TECHNICAL/BUSINESS SKILLS & KNOWLEDGE: EssentialDesirable 5-10 years of Java programming experience Experience working with AWS cloud (EKS, S3) Experience working with Kafka messaging Experience working with relational databases such as SQL server & Postgres Experience working with Spring Boot Experience with CI/CD methodologies (GitHub) and container-based packaging & deployment BS/MS in Computer Science, Engineering, or related discipline Self-motivated, proactive Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work effectively independently as well as part of a team Good interpersonal skills Strong communication, problem solving & analytical skills Extensive experience designing and building trade processing & reporting systems Experience with Agile & TDD software development methodologies and a strong philosophy around automated test coverage Knowledge of financial products equity, swaps, futures & fx Experience working with NoSQL database Mongo DB Experience working with Apache Flink About Us Who we are Brevan Howard Investment Management is one of the leading absolute return/hedge fund managers, overseeing assets on behalf of institutional investors from around the world, including pension funds, endowments, insurance companies, government agencies, private banks, and fund of funds. Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. The firm currently manages over $34bn and engages predominantly in discretionary directional and relative value trading in fixed income, FX markets, and equities. BH Digital, a division within Brevan Howard that manages crypto and digital asset strategies was launched in 2022. The firm currently employs over 1,050 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance. The firm's main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, Abu Dhabi and Bengaluru. Why Join Our Team We combine a dedication to meeting our clients' needs with a commitment to our people. At Brevan Howard, you will find the dynamism and entrepreneurial spirit of a small firm with the infrastructure, technology and support of a large organisation. We are always looking for exceptional talent to join our global community. From undergraduates to experienced professionals, we look for individuals who are intellectually curious, passionate and share our mission and principles. Diversity and Inclusion Brevan Howard is committed to being an inclusive employer and encourages applications from all suitably qualified individuals without regards to race, colour, religion, origin, age, sexual orientation, physical/mental disability/ long term health condition, marital status, gender expression or any other characteristic protected by law in the jurisdictions we operate.
20/06/2026
Full time
Software EngineerApplylocations: London (82)time type: Full timeposted on: Posted Todayjob requisition id: JR101483 The Department: Join the team that is responsible for designing, implementing & continuously evolving trade capture & middle office systems in our new fully systematic trading booking platform. The engineering team will work closely with trading tech, portfolio finance & middle office operations teams in a fast-paced environment. The successful candidate must possess strong knowledge & experience of designing & implementing distributed and scalable multi-asset class (equities, swaps, futures & fx) trade booking, reconciliation and reporting systems using microservices architecture.The engineering team is part of systematic technology group responsible to design, implement and evolve systems required to enable the real time trade booking, t0/t1 reconciliations & reporting. MAIN DUTIES/RESPONSIBILITIES OF THE ROLE: Design, develop and evolve highly scalable & reliable trade processing, reconciliation & reporting platform. WORK EXPERIENCE/BACKGROUND /TECHNICAL/BUSINESS SKILLS & KNOWLEDGE: EssentialDesirable 5-10 years of Java programming experience Experience working with AWS cloud (EKS, S3) Experience working with Kafka messaging Experience working with relational databases such as SQL server & Postgres Experience working with Spring Boot Experience with CI/CD methodologies (GitHub) and container-based packaging & deployment BS/MS in Computer Science, Engineering, or related discipline Self-motivated, proactive Ability to perform well under pressure Enthusiastic, flexible and adaptable Ability to work effectively independently as well as part of a team Good interpersonal skills Strong communication, problem solving & analytical skills Extensive experience designing and building trade processing & reporting systems Experience with Agile & TDD software development methodologies and a strong philosophy around automated test coverage Knowledge of financial products equity, swaps, futures & fx Experience working with NoSQL database Mongo DB Experience working with Apache Flink About Us Who we are Brevan Howard Investment Management is one of the leading absolute return/hedge fund managers, overseeing assets on behalf of institutional investors from around the world, including pension funds, endowments, insurance companies, government agencies, private banks, and fund of funds. Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. The firm currently manages over $34bn and engages predominantly in discretionary directional and relative value trading in fixed income, FX markets, and equities. BH Digital, a division within Brevan Howard that manages crypto and digital asset strategies was launched in 2022. The firm currently employs over 1,050 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance. The firm's main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, Abu Dhabi and Bengaluru. Why Join Our Team We combine a dedication to meeting our clients' needs with a commitment to our people. At Brevan Howard, you will find the dynamism and entrepreneurial spirit of a small firm with the infrastructure, technology and support of a large organisation. We are always looking for exceptional talent to join our global community. From undergraduates to experienced professionals, we look for individuals who are intellectually curious, passionate and share our mission and principles. Diversity and Inclusion Brevan Howard is committed to being an inclusive employer and encourages applications from all suitably qualified individuals without regards to race, colour, religion, origin, age, sexual orientation, physical/mental disability/ long term health condition, marital status, gender expression or any other characteristic protected by law in the jurisdictions we operate.
