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Description Software Engineer Farnborough, with flexibility to work from home dependent on business demands Salary: £47,600 - £61,000 The Role: The Software Engineer will play a critical role in both the sustainment of the current environment and the delivery of new capabilities. The selected individual will develop solutions to complex technical issues and problems, applying sound engineering principles to deliver high-quality, maintainable software. They will regularly demonstrate initiative and creativity in solving technical challenges and contribute to the continuous improvement of software development practices. As a Software Engineer at Leidos, you will be immersed in one of our key programmes. On behalf of our central government customer, you will have direct impact on the current and future iterations of one of our most important pieces of critical national infrastructure. This is a senior technical role. The individual will contribute to technical decision making, collaborate closely with engineers, architects, testers, and delivery teams, and be a key contributor to the successful delivery of software solutions. The Role responsibilities: Design, develop, debug, test, document, and deploy software enhancements aligned with the Software Development Strategy. Develop and maintain Java-based backend services and APIs that process business events and workflows, integrating with downstream systems and data services in a secure, highly available environment. Contribute to the design and implementation of software solutions by analysing requirements, system flows, data usage, and technical constraints. Produce clean, maintainable, and well-documented code in accordance with established engineering standards. Participate in code reviews and contribute to maintaining software quality across the development team. Develop and maintain unit and integration tests to ensure software quality and reliability. Work collaboratively with architects, engineers, and test teams to ensure new and modified software is fully verified prior to release. Support and contribute to the continuous improvement of CI/CD pipelines, quality gates, and security scanning processes. Assist in breaking down technical designs into deliverable tasks and contribute to Agile delivery activities including estimation, planning, and backlog refinement. Investigate and resolve defects, production issues, and operational support activities as required. Contribute to test automation initiatives within the project and work alongside the test team to improve automation coverage. Support Agile development practices and actively participate in Scrum ceremonies. Effectively communicate technical information, risks, and implementation considerations to team members and stakeholders. Mentor and support less experienced engineers, sharing knowledge and promoting good engineering practices. What does Leidos need from me? Proven software engineering experience, including hands-on delivery using: Java (Java 8 and modern Java versions such as 17 and 21) API design and implementation Strong understanding of software engineering principles, design patterns, and modern development practices. Experience delivering software as part of a collaborative Agile development team. Strong understanding of Git/Bitbucket source control and branching strategies. Familiarity with Relational Databases (PostgreSQL), SQL, and JDBC. Experience writing and maintaining unit and integration tests. Familiarity with Agile software development processes and iterative delivery models. Familiarity with the Atlassian tool suite (e.g. Jira, Bitbucket, Bamboo), or equivalent tooling, and a good understanding of CI/CD practices. Experience working within code review processes and software quality standards. Ability to troubleshoot and resolve complex technical issues with minimal supervision. Strong communication and collaboration skills. It would be great if you had: Familiarity with integration and architectural patterns (e.g. adapters, orchestration patterns such as saga). Experience with SOAP and REST web services. Experience with IBM Web Application Server or JBoss. Familiarity with Unix, Linux, or other variants. Perl, Python, and/or Bash scripting experience. Experience with C or C++. Strong performance analysis and debugging skills. Experience contributing to test automation initiatives (UI and/or API). Experience working in secure, regulated, or mission-critical environments. Customer-facing experience, including communicating technical status, risks, and recommendations to stakeholders. Clearance Requirements: Successful candidates will be required to be willing and able to obtain UK Security Clearances - this requires a minimum of 5 years residency in the UK What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: You can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and theirs. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: £47,600.00-£61,000.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . click apply for full job details

Select how often (in days) to receive an alert: Our purpose is taking care of life's essentials, but we're also big on making a difference, not just because we should but because we care. AMP8, our next five-year regulatory period, will see us launch our biggest and most complex investment programme of almost £13bn, of which £6bn will be delivered through our capital programme. This is more than double the size of the AMP7 capital programme and is an opportunity to drive real change. As part of that transformation, we're building new capabilities that will help us deliver smarter, faster and more effectively than ever before. One of the boldest is our Capital Delivery AI Transformation Team - a high-profile team created to help unlock major value across AMP8 and AMP9, with an ambition to deliver around £0.5bn of value across the programme. This team exists to challenge how things have always been done. It brings together agile thinking, emerging technology and practical delivery to create solutions that remove waste, improve speed and unlock better outcomes across capital delivery. A huge part of that opportunity is making it easier for our people to do their jobs. Every day, teams across Capital Delivery spend time on repetitive tasks, manual data entry, reporting and processes that could be automated. That's where our Automation Engineers come in. As an Automation Engineer, you'll help identify these opportunities and turn them into practical solutions that save time, improve quality and free up capacity for the work that really matters. Whether it's automating workflows, integrating systems or simplifying complex processes, you'll play a key role in helping deliver the future of Capital Delivery. It could be one of the biggest challenges of your career. If you want to do more because you care, we'd love to talk to you. We are looking for Automation Engineers to join our Capital Delivery AI Transformation Team and help remove waste, unlock productivity and transform the way we work. EVERYTHING YOU NEED TO KNOW Do you enjoy solving problems? Are you passionate about finding smarter ways of working? Do you love taking manual processes and turning them into efficient, automated solutions? As an Automation Engineer , you'll work within one of our Capital Delivery domains, helping to identify inefficiencies, redesign processes and deploy automation solutions that deliver measurable business benefits. You'll work closely with end users to understand their challenges, map current ways of working and identify opportunities to remove administrative burden and improve efficiency. From rapid tactical improvements through to larger strategic initiatives, you'll help deliver solutions that make a real difference to people's day-to-day work. This role combines technical capability with stakeholder engagement. You'll need to understand business problems, challenge existing processes and then build practical solutions that users genuinely adopt. Within this role you would : Design, build, test and maintain automation pipelines, integrations and workflow solutions across Capital Delivery. Deliver rapid automation improvements through the Tactical Pod operating model, often moving from idea to deployment in a matter of days. Develop reusable, scalable and well-documented automation components that can be adopted across multiple teams. Engage with end users to understand pain points, challenges and opportunities for improvement. Map current processes and identify opportunities for simplification before automation is applied. Challenge existing ways of working and support the redesign of inefficient processes. Work with stakeholders to define requirements and prioritise opportunities based on business value. Embed security, governance and compliance considerations into every solution. Support deployment, user adoption, iteration and ongoing improvements following implementation. Measure adoption, efficiency improvements and benefits against agreed baselines. Participate in agile ceremonies including sprint planning, stand-ups and retrospectives. Collaborate with GenAI Leads, Digital Engineers and wider technology teams to share learning and reusable assets. Technically lead, coach and mentor Automation Engineers and Digital Engineers, helping grow GenAI capability across the team and wider business. Define and track the value and benefits of GenAI deployment against agreed baselines, evidencing adoption, time savings and business impact. Help build confidence in GenAI across Capital Delivery, promoting approaches that are pragmatic, secure and grounded in operational reality. WHAT YOU'LL BRING TO THE ROLE Of course, it's important that we attract the right skill sets, and those with the right experience, but we value character, positivity and a caring attitude in equal weight. We want people who show up and roll their sleeves up. Restless spirits who are ready to be part of something bigger, who care, who really care because when you really care, you'll go above and beyond. When you really care you don't just talk about it, you do more. A degree in Engineering, Computer Science, Data Analytics or a related discipline, or equivalent practical experience. An understanding of automation technologies, workflow design and systems integration. Hands-on experience building automation solutions using tools such as Power Automate, Python, RPA technologies or API integrations. Strong data manipulation and analysis skills using Python, SQL, Excel and/or Power Query. Experience mapping, analysing and redesigning business processes. A user-focused mindset with the ability to understand operational challenges and create practical solutions. Strong stakeholder engagement and communication skills. The ability to prioritise effectively and deliver in a fast-paced, agile environment. A proactive approach to problem-solving and continuous improvement. And it would be great if you also had: Microsoft Power Platform or Azure certifications. Awareness of secure development and data-protection practices. Experience within one of our key domains - Waste, Delivery, Project Controls or Design. Familiarity with Generative AI, LLM tools or AI-enabled automation. Experience working within engineering, utilities, construction or other project-led environments. We welcome people from all walks of life and celebrate individuality as we know diverse minds, experiences and backgrounds help us to learn and better serve our communities. We employ thousands of people from across our community who really care about what they do. Because that is how we do what we do. And when it comes to inclusion, we're making sure we keep up the progress with our wonderful working groups - LGBTQ+, Women in Operations & STEM, Disability and Ethnicity, who help us do just that. Working here isn't just a job. You can build a career at Severn Trent. We'll reward you for it, too. We have a range of benefits that recognise great work, and award-winning training to help you reach your potential. And we'll also help you play your part in looking after the environment and the communities where we live. With that in mind, here are just some of our favourite perks that you'll get being part of the Severn Trent family: 28 days holiday + bank holidays (and the ability to buy/ sell up to 5 days per year) Annual bonus scheme (of up to £2,250, which is subject to eligibility) Leading pension scheme - we will double your contribution (up to 15% when you contribute 7.5%) Sharesave - the chance to buy Severn Trent Plc shares at a discounted rate Dedicated training and development with our Academy Electric vehicle scheme and retail offers Family friendly policies Two paid volunteering days per year WHAT'S NEXT? We can't wait to hear from you. Before you apply, you'll need an updated copy of your CV and about five minutes to spare. And if your curiosity has peaked and you're wanting to find out even more, search on social media. Ps. we'll always let you know the outcome of your application after the closing date - so keep an eye on your phone and emails!

Every day, Barclays' mobile apps support hundreds of thousands of customers with important financial transactions, and it is critical that these transactions are secure. Our Android and iOS mobile apps use multiple layers of cryptography and encryption to protect customers and their data. To support this, we are hiring a Mobile Security Engineerwho will play a key role in building and maintaining our mobile security containers, controls, and protocols. This role is suitable for applicants who have a strong engineering foundation and a genuine interest in learning mobile security, rather than deep prior experience in the domain. This is an excellent opportunity to grow your technical capability in mobile security within a supportive engineering environment. We recognise that mobile security is a specialist area. As such, we are looking for someone who is curious, motivated, and keen to develop niche skills, supported by on-the-job learning and mentoring. Successful candidates will have A solid foundation in at least one programming language such as Java, Kotlin, Swift, Objective C, C#, or Node.js. A good understanding of the software development lifecycle, including source control, build, test, and release activities. Some hands on experience or exposure to build pipelines using tools such as Jenkins or GitLab Pipelines. The following skills or interests would be beneficial, but are not essential An interest in software cryptography concepts and how they are applied in internet facing mobile applications. Awareness of build and release controls, including versioning, dependency management, and promoting artefacts across environments. A well organised approach with strong attention to detail. The ability to manage multiple work requests and adapt priorities as needed. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The successful candidate will be based in Knutsford (Radbroke Hall). Purpose of the role To develop, implement and maintain solutions that support the safeguarding of the banks systems and sensitive information. Accountabilities Provision of subject matter expertise on security systems and engineering patterns. Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems. Management and protection of secrets, ensuring that they are securely generated, stored, and used. Execution of audits to monitor, identify and assess vulnerabilities in the banks infrastructure/software and support the response to potential security breaches. Identification of advancements in to support the innovation and adoption of new cryptographic technologies and techniques. Collaboration across the bank, including developers and security teams, to ensure that cryptographic solutions align with business objectives, security policies and regulatory requirements. Development/Implementation and maintenance of Identity and Access Management solutions and systems. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise. Thorough understanding of the underlying principles and concepts within the area of expertise. They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team's operational processing and activities. Escalate breaches of policies/procedure appropriately. Take responsibility for embedding new policies/procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex/sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

£52,253 to £60,834 per annum This is a fixed term position for 2 years due to time limited funding from an external grant. Overall purpose: To lead the deployment, scaling and maintenance of machine learning systems for petabyte-scale connectomics data within the group of Dr. Albert Cardona at the MRC Laboratory of Molecular Biology. The role will focus on turning machine learning models for volume electron microscopy into robust, reproducible and observable production pipelines, supporting automated segmentation, synapse detection, proofreading and large-scale image analysis. The post holder will design and maintain infrastructure for training, inference, monitoring, debugging and data processing across GPU/CPU clusters, on-prem storage systems and HPC environments. They will work closely with scientists, software engineers and collaborators to ensure that ML workflows are reliable, scalable, version-controlled and usable by the wider research group. Inspire ideas for research in the context of the work of the Neurobiology Division. To play a major role in the work of the research group, through the conduct of research, introduction of new ideas, dissemination of research results, support and training of others. Contribute to the strategic development of the group and of the division overall. To be a focus of expertise on ML-based image processing, computational data analysis, systems administration and software engineering as relate to the day to day operations of a neuroscience research laboratory acquiring and analysing data from electron microscopes and other imaging modalities. Main duties: To deploy, maintain and improve machine learning models for production-scale inference on large volume electron microscopy datasets. To build robust ML pipelines for training, batch inference, validation, monitoring and reprocessing across GPU and CPU compute environments. To debug failures across the full ML stack, including model execution, data loading, storage I/O, distributed jobs, container environments, cluster scheduling and database interactions. To keep up to date with developments in the field, proposing or implementing changes of direction as necessary. To identify, develop and apply a broad range of techniques to pursue the research objectives. To present your work at seminars within the laboratory and at external meetings. To contribute to laboratory wide discussions on developments within the laboratory, particularly in the use of new techniques or new equipment. To disseminate research findings in the form of publications, presentations, and reports and thus support the QQR mission of the division. To train students, Postdoctoral Scientist and others and line management of group members where appropriate. To contribute to the MRC's engagement with the public and in the translation of research findings into improvements in health care. Key responsibilities: The key responsibility is to develop, deploy, maintain and improve production scale machine learning systems for large volume electron microscopy and connectomics data. The post holder will ensure that machine learning models can be run reliably, reproducibly and efficiently across large datasets, GPU/CPU clusters, storage systems and associated databases. You will be expected to act independently in solving complex technical problems across the machine learning deployment stack, including data loading, model execution, distributed processing, storage I/O, containerised environments, cluster scheduling, monitoring and debugging. To design and maintain robust infrastructure for training, inference, validation and reprocessing of machine learning models on multi terabyte to petabyte scale datasets. To translate prototype machine learning models and research code into reliable, version controlled and docu mented production workflows that can be used by researchers and collaborators. To build and maintain monitoring tools for pipeline performance, model output quality, job failures, data integrity, throughput, resource usage and storage bottlenecks. To work closely with scientists, software engineers, research support staff and external collaborators to ensure the smooth running of large scale ML and data processing workflows. To contribute to the management and optimisation of compute and data infrastructure, including GPU servers, CPU clusters, large scale storage systems, databases and cloud or HPC environments. To introduce and apply best practices in software engineering, MLOps, testing, documentation, reproducibility, version control and deployment. To train and support group members in the use of deployed machine learning systems, data processing pipe lines and infrastructure tools. To ensure all software, data processing and infrastructure work is conducted in accordance with good practice and in compliance with local policies, legal requirements and data protection standards. To contribute to collaborations within the division, across the LMB and with external partners by providing ex pertise in ML deployment, scalable data processing and production infrastructure. Line management responsibilities may be undertaken where appropriate, including supporting staff development and performance management in accordance with MRC policies and procedures. Working relationships: You will report to Dr. Albert Cardona and will liaise with other Research Support staff, Postdoctoral Scientists and students, not only in your group, but also across the LMB and with external collaborators. Person Specification Academic qualifications and experience: PhD in computer science, engineering, data science, computational biology, physics, mathematics or a related quantitative discipline, or an MSc / MPhil plus significant equivalent professional experience in machine learning engineering, infrastructure engineering or large scale data processing. Significant experience deploying machine learning models in production or production like environments, ideally involving computer vision, image analysis or large scale scientific data. The candidate should have strong hands on experience with Python, modern machine learning frameworks such as PyTorch, and robust software engineering practices including testing, documentation, version control and code review. Extensive experience working with large scale datasets, ideally multi terabyte to petabyte scale data, including data storage, data access patterns, chunked or distributed data formats, database backed metadata systems and debugging performance bottlenecks. Experience with image data, electron microscopy, bioimage informat ics or connectomics would be highly desirable. The candidate should have experience building, deploying and maintaining ML pipelines for training, inference, validation and reprocessing across GPU and CPU infrastructure (e.g., HPC environments). They should be comfortable debugging failures across the full ML stack, including model execution, data loading, memory us age, storage I/O, distributed jobs, containers, cluster scheduling, dependency management and databases. Experience with Linux systems administration, containers such as Docker or Singularity/Apptainer, workflow orchestration tools, SLURM or Kubernetes, and cloud platforms such as AWS or similar vendors would be de sirable. Experience with additional programming languages such as Rust, C++, Java, JavaScript, Bash or SQL would be beneficial, particularly where this has been applied to building reliable, scalable and maintainable infrastruc ture or data processing systems. Technical skills and expertise: Significant experience of and proven expertise in cutting edge research relevant to the project, and knowledge of the field. The ideal candidate will have a strong background in machine learning engineering and bioimage informatics, combining expertise in large scale data processing and software engineering with specific experience deploying and maintaining machine learning systems in production or production like environments. Particularly useful would be comprehensive experience in and knowledge of: Deploying machine learning models for large scale batch inference, ideally for computer vision, image analysis or scientific imaging data. Developing and maintaining robust data processing and ML pipelines for multi terabyte to petabyte scale datasets. Debugging production issues across data loading, model execution, storage I/O, memory usage, distributed jobs, containers, dependency management, databases and cluster scheduling. Working with GPU and CPU compute clusters, including job scheduling, resource monitoring, failure recovery and performance optimisation. Optimising data access patterns for large image volumes, including chunked or distributed formats such as Zarr, N5, HDF5 or similar. Knowledge of Drosophila larval neuroanatomy and the use of NBLAST to compare and identify neurons by morphology. CATMAID, Fiji, BiaPy and other open source software platforms for handling neuroscience imagery. Managing large datasets using system administrator skills in Linux and BSD servers, and knowledge of databases such as Postgresql. The use of the Python programming language with evidence in the form of online version control repositories of software written by the applicant. Implementing algorithms into version controlled software packages for use by others. Cloud computing with AWS or similar vendors. Programming languages including python, bash, R, Java . click apply for full job details