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We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

Director of IT Engineering Role Expectations The Director of Engineering (DOE) possesses a range of management, technology, and engineering experiences serving as the leader of our engineering department. The DOE is responsible for developing the technological vision for the Company in partnership with other executives; establishing the executive direction related to the technological interests of the Company, how technology is utilized in support of our staff, partners, and customers to help improve and increase business; as well as oversee the effective deployment, implementation, and management of internal engineering operations. The DOE will develop a roadmap and budget to help support technology investments that enable the Company to meet its vision. The DOE is both a strategist and a technologist able to provide high-level strategy guidance to staff, partners, and vendors as well as provide mentorship and instruction to our delivery teams in all aspects of technology implementation. Responsibilities Executive Leadership Strategize with CIO and major stakeholders to align the goals of the engineering team with the goals of the Company. Provide sound technical leadership in all aspects of the Company business operations Advocate and communicate technology and engineering capabilities internally and externally and actively support the company's business and growth efforts by being the technical subject matter expert Establish and nurture relationships with The Company staff, partners, and vendors to demonstrate the Company's engineering capabilities and help them be more effective and efficient through leveraging technology and engineering Provide technical thought leadership for the business, internally among staff and externally across partners and vendors Develop the company's strategy for how technology and engineering will be used and ensure that the technological resources meet the company's short and long-term vision Technical Leadership and Team Management Lead and empower The Company's engineering team to develop strategies for the execution of our work and oversee that those strategies are thoughtfully executed and aligned with The Company's long-term business strategy and vision Serve the go-to person for the escalation of issues affecting engineering and technology teams (and help them navigate solutions) Continuously evaluate and improve engineering processes, tools, and methodologies to enhance efficiency and productivity Maintain relevance and up-to-date knowledge on modern technologies and practices to effectively deliver digital services in the art / gallery / museum / auction space Triage and problem-solve engineering and technology issues and assist teams in resolution and successfully lead teams to develop risk mitigation and incident management plans Audit The Company's technology usage and ensure technologies are used efficiently and securely Develop and implement strategies to mitigate the impact of engineering talent turnover on business continuity and maintain engineering capability resiliency Identify, attract, recruit, hire, and on-board experienced and value-aligned engineering personnel Mentor, coach, and support teams in the delivery of digital products and services Product Planning and Development Work with business and product management to develop and maintain a roadmap and budget for the execution of investments in the technology space in support of The Company's vision and mission Develop and maintain a standardized and efficient SDLC process, including methodologies, best practices, and tools, to ensure consistency and quality throughout the development process In collaboration with business and product management, oversee prioritization, project planning, execution, and delivery, ensuring that projects are completed on time, within scope, and within budget Collaborate with other stakeholders, including vendors, partners, designers, engineers, contractors, testers, and product managers, to ensure seamless project execution Qualifications Proven experience as a Director of Engineering or similar leadership role Experience in leading and overseeing development in all aspects of the SDLC using Agile/RAD methodologies Experience in designing and scaling out in-house customer relationship management, asset management, and business intelligence (and tangential ERP processes) software(s) Strong technical expertise in leading web applications projects built with Python (Django) and Javascript (React), deployed to cloud infrastructure (AWS) Exceptional leadership and team-building skills, particularly hiring/managing a remote, cross-functional (including UX designers, product managers, testers), global team Excellent project management and organizational skills Effective communication and interpersonal skills Strong problem-solving and decision-making abilities You will have at least 10 to 20 years expertise at this level. The position will be based in Central New York. The salary will be circa $200K - $250K. Do send your CV to us for this exciting new position and include your salary in USD along with your notice period and residential status.

SeniorSoftwareEngineer/RubyOnRails/React/TypeScript Location:Wallingford-Oxfordshire(Hybrid)-onsiteonceevery4-6weeks Permanent AtDexory,wearetransformingthewarehousingandlogisticsindustrythroughdataintelligence. AsanIntegrationEngineer,youwillplayakeypartinbuildingandmaintainingtheintegrationsthatconnectcustomerWMSsystemstoourdatainsightsplatform. Working closely with the engineering and integration support teams along with communicating externally with customers, developing custom parsers, API integrations, and data transformation logic to enable our robots to understand each customer's unique warehouse management system. Scalingenvironment,endtoendownershipandimpactfulworkfromdayone. Working with hardware devices means we have an interesting and varied tech stack, but for web applications this is primarily Ruby on Rails for backend applications. Duetooursetup,wecanonlyconsiderpeoplelivingintheUKcurrentlyand wecannotprovidesponsorship. Pleaseapplyformoreinformation. Responsibilities/Skills Developing and maintaining data parsers (both Ruby code and our dynamic, UI defined parser system) to extract and transform warehouse records from various formats (CSV, JSON, XML, Excel); BuildingcustomAPIintegrationstoretrievereal-timedatafromcustomerwarehousemanagementsystems; Implementingdatatransformationlogictohandlecustomer-specificrequirements,edgecases,andformatvariations; Writing comprehensive automated tests (RSpec) to ensure parsing accuracy and dataintegrity Debugging and resolving customer-specific data issues through code fixes and parser improvements

Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment? At Beyond Sports, we don't just visualize sports - we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real time sports data, 3D graphics, and AI driven storytelling. If you're passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move. What Your Day Will Look Like As a Team Architect (Machine Learning Focus), you'll act as the specialist technical authority within your discipline - helping shape the architecture, technical direction, and implementation strategy behind our ML driven products and platforms. You'll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands on technical leadership. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You'll guide technical implementation across areas such as trajectory prediction, motion synthesis, real time data processing, 2D to 3D geometry pipelines, and cloud hosted ML services. You'll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You'll fit right in if you: Love applied machine learning and technical architecture You enjoy designing scalable systems and turning complex technical ideas into practical solutions. Think in systems and implementation strategy You naturally balance innovation, scalability, maintainability, and delivery requirements. Stay hands on technically You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges. Collaborate naturally You can communicate technical approaches clearly across disciplines and with non technical stakeholders. Care about quality and reusability You value maintainable systems, reusable tooling, and strong engineering standards. Stay curious You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices. Your Background Strong experience in machine learning engineering, software architecture, or technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical approaches Ability to communicate technical solutions clearly to technical and non technical audiences Experience collaborating across multidisciplinary engineering teams Willingness to work on site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real time systems, motion synthesis, or 3D graphics pipelines Experience with Unity or other game engines Interest in football or team sports Why Level Up Your Career at Beyond Sports Fast moving, creative, and technically ambitious - that's our world. High impact: Your work helps shape how millions experience sports globally Technical ownership: Influence implementation strategy, architecture, and engineering standards Hands on innovation: Build POCs and help define the future of our ML systems Constant learning: From machine learning research to real time 3D systems, there's always something new Real collaboration: Engineers, artists, ML specialists, and product teams working side by side And we make sure it's a great place to work: 25 days of paid leave per year Pension program Lunch included Gym card - Alkmaar Only Fresh fruit, great coffee, and Friday drinks Bi monthly team outings Office games like FIFA, chess, and ping pong Sony Benefits and much more! Ready to Build the Future of Sports? If you're excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports - we'd love to hear from you. At Beyond Sports, you won't just design technical solutions. You'll help bring sports to life.

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Your office space Osterley Our Osterley Campus is a 10 minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

Privacy Information We and our partners are using tracking technologies to process personal data in order to improve your experience. You may always exercise your consumer right to opt-out. For detailed information about personal information we collect and third parties having access to it, please select 'More Information' or refer to our privacy policy.Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities - from code and dependencies to containers and cloud.Our mission is to empower every developer to innovate securely in the AI era - boosting productivity while reducing business risk. We're not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.It's how we stay driven, supportive, and always one step ahead as AI reshapes our world.Snyk's Incubation Accelerator is seeking a Staff Incubation Engineer to join our innovative team, building transformative products from the ground up. This is a unique opportunity to operate with the agility of a startup, while leveraging Snyk's extensive infrastructure, customer reach, and industry insights.As a Staff Incubation Engineer, you will be at the forefront of technical innovation, tackling complex engineering challenges to develop a new product. This role demands full-stack development expertise, a strong grasp of system architecture for AI applications, and end-to-end ownership of the product lifecycle-from rapid prototyping to large-scale deployment. You will operate in a lean, agile environment, iterating rapidly on solutions to achieve product-market fit. What You'll Do: Full-Stack Product Development: Design, develop, and implement scalable, high-performance software solutions from scratch, covering both frontend and backend components. System Architecture & Design: Architect flexible, scalable, and secure systems, ensuring robust, maintainable, and high-quality codebases. Rapid Prototyping & Iteration: Build rapid prototypes to validate ideas, iterate on feedback, and pivot quickly to achieve the best product-market fit. AI Agent Development: Design, develop, and deploy intelligent AI agents and autonomous systems, focusing on their integration into new product offerings. Performance Optimization: Analyze and optimize system performance, ensuring high availability, low latency, and efficient resource utilization. Cloud-Native Deployment: Design and deploy cloud-native applications leveraging modern infrastructure, including containerization and microservices architecture. Agile Development & CI/CD: Operate within a lean, agile environment, utilizing continuous integration and delivery pipelines to accelerate development cycles. Cross-Functional Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure cohesive product development and alignment with business goals. Technical Leadership & Mentorship: Foster a culture of high ownership, creativity, and technical excellence. What You Bring: Deep experience in AI/ML systems, experience deploying intelligent agents using agentic or multi-agent architectures, with foresight for future needs and strategic alignment. Strong proficiency in modern programming languages (e.g., Python, Golang, NodeJS) and frameworks, applying them to innovative products. Experience with agile and CI/CD, with autonomy to streamline processes for efficient delivery in a fast-paced environment. It'd Be Awesome If You Also Are genuinely excited by the prospect of working on early-stage products, engaging directly with customers to rapidly identify, prioritize, and iteratively solve problems to build truly beloved solutions. Thrive in the face of complex, ambiguous technical challenges, consistently finding innovative solutions where others might see roadblocks, and embracing the iterative nature of startup development. We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway! About Snyk Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk. Benefits & Programs Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers Health benefits, employee assistance plans, and annual wellness allowance Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances

About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Salary: £70,000 - 70,000 per year Requirements We require significant senior backend development experience with strong Python proficiency, including async programming, concurrency, and multithreading. We require expertise in RESTful API design, OpenAPI/Swagger documentation, and API lifecycle best practices. We require hands on experience with ML libraries including PyTorch, PySpark, scikit learn, and Hugging Face Transformers. We require proficiency with AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. We require proven experience with Git, unit testing, containerisation, and agile methodologies, including Jira and Confluence. We require good knowledge of generative AI, machine learning, deep learning, or NLP. We require strong communication skills and the ability to explain technical concepts to varied audiences. We require a bachelors degree in Computer Science, AI, Data Science, Statistics, Engineering, or a related technical field; a masters degree or PhD is preferred. We consider advanced certifications in AI, machine learning, cloud computing, or data engineering highly advantageous. We consider a professional accounting qualification desirable but not required. We welcome experience with Microsoft Graph API. We welcome background in audit, financial services, or regulated industry technology. Responsibilities We lead hands on technical delivery of AI projects and contribute actively to codebases and architectural decisions. We develop and deploy production grade AI systems using Azure, Databricks, and generative AI tooling. We own the implementation of ML pipelines, APIs, and data integration workflows. We enforce MLOps best practices, coding standards, version control, and performance optimisation. We collaborate cross functionally with data scientists, product managers, platform engineers, QA, and audit professionals. We mentor junior engineers and contribute to internal capability building and knowledge sharing initiatives. Technologies AI API Azure Backend Cloud Confluence Databricks Git JIRA Machine Learning Network OpenAPI PyTorch Python PySpark Swagger More We are a Big 4 professional services firm with an Audit Technology team that is at the forefront of innovation, combining artificial intelligence, data engineering, analytics, and software development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, our team has experienced rapid growth and is building exciting products at scale. This is a permanent, full time hybrid role based in London, Manchester, Leeds, or Glasgow, with flexible working available across multiple UK locations. We offer a competitive salary and benefits package, and the chance to join a rapidly growing technology capability within one of the worlds leading professional services firms. last updated 25 week of 2026

Marks & Spencer is seeking a Senior Software Engineer to enhance its Order Management platform. In this role, you'll tackle complex fulfillment challenges, collaborate with product and engineering teams, and ensure a seamless customer experience. The ideal candidate has strong Java skills and backend engineering experience. You will have the chance to contribute to a dynamic team and enjoy benefits like a competitive employee discount, well-being support, and a discretionary bonus scheme.

IT & Software Systems Engineer We are in search of two?Systems Engineers?for our Leidos engineering capability. Using your experience in Systems Engineering, you will be responsible for working with customers and suppliers to execute Systems Engineering activities across the full lifecycle, with a focus on the low-level system design. Your role and responsibilities: Maintain Requirements Verification Traceability Matrix (RVTM). Update artefacts (designs and documents) so that they map to RVTM. Work with Testers to Review Requirements against Test cases/acceptance criteria, identify gaps, propose solutions and manage exceptions/mitigations. Define and update acceptance criteria and get agreement from customer/stakeholders. Support the definition and design of interfaces. Version control all relevant SE artefacts and agreed interfaces. Document and manage programme V Model activities and Artefacts while liaising with delivery team leads. Collaborate with multidisciplinary teams to ensure seamless integration of hardware, software, and network components. Document data flow and data matrix views of a system. Contribute to Systems Concept of Operations Document through process definition and documentation. Track and present progress of deliverables and dependencies. Review and Update Systems Engineering Management Plan (SEMP) when needed. Document engineering management/governance processes. Basic Qualifications: Proven track record with a minimum or 3 years' experience in Systems Engineering role for IT/software systems. Familiarity in working within at least Systems Engineering Frameworks e.g., ICOSE, NAF, DODAF, MODAF, MBSE. Good working knowledge of Software and Hardware used for IT systems technologies. Experience of Systems Engineering within a Software/IT delivery. Experience of working within Agile and Waterfall delivery models. Excellent analytical, organisational, and communication skills. Self-Starter with ability to work with minimal supervision. Preferred Qualifications: Bachelor's degree or suitable experience in an Engineering or Technology subject. Demonstrated ability to manage multiple priorities and work effectively in cross-functional teams. Ideally proficient with system modelling tools (e.g., SysML, UML) and enterprise design software/system modelling (e.g., Cameo, Archimate). Security Clearance / Other: Ability to gain Metropolitan Police Service NPPV2 security clearance (essential). Willingness to gain MOD DV (advantageous). Work can be done from Home Location. Expected to be in the Farnborough office 2 days per fortnight. Expected to attend Programme Increment planning 5 Days every 3 months in Leidos Office (Farnborough/Glasgow) and be able to attend customer location (Greater London) when needed; typically 2 days per month. What we do for you: 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 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.

Full Stack Engineer (Kotlin and/or Python) - VP Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Department Overview Equities Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. Role Overview Citi is seeking an accomplished and highly motivated Vice President (VP) level developer to join our Strategic Equity Solutions (SES) team. This role offers the opportunity to contribute to the creation of greenfield services focused on enhancing trader workflow tooling. As a key member of an agile, self organizing team, you will have direct engagement with business users globally, offering substantial autonomy in technology decisions. Our team is committed to continuous delivery, owning the entire pipeline to production, and striving for frequent releases that drive immediate business value. What will you do Design & Develop: Iteratively develop robust, high performance software solutions from initial concept through to production deployment, directly impacting trader efficiency and capabilities. Business Acumen & Product Ownership: Collaborate closely with business stakeholders, demonstrating a keen understanding of business drivers and a strong product owner mindset. Translate complex requirements into technical specifications and innovative solutions that address critical trading needs. Functionally, this role will directly support the Strategic Equity Solutions (SES) business. Code Excellence: Produce clean, efficient, and well documented code, adhering to best practices and contributing to a high quality codebase. Engineering Leadership: Champion and share best engineering practices, foster a culture of continuous improvement, and mentor junior colleagues across the wider technology team. Technically, you will be an integral part of the ABS team. Innovation & Adaptation: Proactively evaluate and integrate new technologies, including AI tooling, to maintain a leading edge in our solutions. Full Lifecycle Ownership: Take ownership of the entire software development lifecycle, from design and development to testing, deployment and monitoring in a DevOps centric environment. Key Skills and Experience We are looking for a versatile and experienced professional. This position can be tailored to a Full Stack Developer or a dedicated Backend Developer, depending on the candidate's core strengths and career aspirations. Technology Skills Desired Backend Expertise (Mandatory for Backend Role, Highly Desired for Full Stack): Strong proficiency in modern backend languages such as Kotlin and/or Python. Extensive experience with microservices architecture and developing scalable, resilient services. Demonstrated experience deploying and managing applications within containerisation platforms like Kubernetes and OpenShift. Frontend Expertise: Experienced in Python based frontend frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC: Deep understanding and practical application of DevOps principles, including CI/CD pipelines, automated testing and trunk based development. A strong commitment to fully automated testing and continuous integration. Domain Knowledge: Prior experience with front office applications and an understanding of trading workflows, financial instruments or market data will be a significant advantage. Educational Background: Bachelor's degree or University degree in Computer Science, Engineering or a related field, or equivalent practical experience in a similar role. What we'll provide you 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family and friends Access to an array of learning and development resources Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster. Accessibility at Citi.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Purpose Join a blended agile delivery squad working on large-scale, secure digital services for a government client. As a Senior Developer, you will bring strong hands-on experience across both .NET and Python, contributing to cloud-native API development, Legacy modernisation, and DevSecOps practices - all within a Microsoft Azure environment and aligned to the highest engineering and security standards. Key Responsibilities Design, develop, and maintain full-stack applications and services using .NET Core and Python. Build and consume RESTful APIs following API-first and microservices design principles. Contribute to CI/CD pipelines in Azure DevOps - build, test, and deployment automation. Apply DevSecOps practices including SAST/DAST scanning, dependency management, and environment segregation. Participate in code reviews, uphold coding standards, and implement secure development practices. Support Legacy system modernisation - migrating from older Windows and .NET Framework environments. Produce clear technical documentation and contribute to architecture artefacts. Ensure all developed solutions meet WCAG AA accessibility standards. Work collaboratively with architects, lead developers, and delivery managers within an agile squad. Contribute to knowledge transfer and onboarding activities for client and team staff. Security Clearance - Mandatory SC (Security Check) clearance is mandatory for this role. Candidates must be eligible to obtain SC clearance. British nationality or a minimum of 5 years' UK residency is typically required. Clearance will be sponsored upon appointment. Essential Skills & ExperienceCore Languages - Mandatory.NET Core 10.0 & .NET Framework 4.8 [MANDATORY] Strong hands-on C# with solid grasp of OOP, design patterns, and SOLID principles. Experience building production-grade applications in both .NET Core and Framework environments. Python - Production-Grade Experience [MANDATORY] Proficiency with Astral UV, virtual environments, and Python dependency management. Ability to build, maintain, and deploy Python-based services and tooling. JavaScript/TypeScript Cloud, DevOps & Infrastructure Microsoft Azure - Cloud-Native Development Experience Azure DevOps - CI/CD Pipeline Design and Management Infrastructure as Code - Terraform and/or Bicep Containerisation - Docker and/or Kubernetes Development Practices - Mandatory RESTful API design, development, and life cycle management Secure development - SAST/DAST tooling, code review, OWASP awareness Technical documentation to a high standard On-site in Taunton, Somerset - 2 days per week minimum Desirable Skills & Experience Legacy Windows technologies - Win32, WPF, MFC/ATL, COM, MSI packaging. Geospatial data formats - GeoJSON, MBTiles, GML. Familiarity with MOD Secure by Design and NCSC software security standards. Experience working in UK public sector or government digital services. Python geospatial tooling or data pipeline experience. Tech StackAreaTechnologies Backend: .NET Core 10.0, .NET Framework 4.8, C#, Python (Astral UV), REST APIs, Microservices Frontend: JavaScript, TypeScript, HTML5, CSS3, WCAG AA Cloud & DevOps: Microsoft Azure, Azure DevOps, CI/CD, Terraform, Bicep, Docker, Kubernetes Security: SAST/DAST, Secure by Design, SC Clearance (Mandatory) Geospatial: GeoJSON, MBTiles, GML (desirable) Tools: Git, Jira, Confluence, Azure DevOps Boards

Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that's long favoured legacy operators, intermediaries, and opaque pricing. Today's electricity system was not designed for rapid decarbonisation, AI driven efficiency or fair access for the actual users - businesses and generators. We've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We're scaling internationally and building toward a future where AI driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we're not just building another energy company, we're rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. The machine learning models inside Rosso forecasting, pricing, and optimisation are what make those decisions possible. Every inference shapes the prices our customers see. Today, tem's ML platform has solid foundations: Metaflow for orchestration, AWS Batch for compute, and automated CI/CD pipelines already in place. That's got Rosso to where it is. But as the number of model types grows and Rosso scales, the platform needs the next layer: structured experiment tracking, a model registry, production monitoring, and self service tooling that lets ML engineers move at pace without being blocked on infrastructure. This role exists to build that layer and define what the platform looks like at scale. You will join the Rosso service alongside a Senior MLOps Engineer in a cross functional team of ML engineers and software engineers. The destination is a platform that is genuinely self service: ML engineers can run experiments, compare models, and ship to production without external intervention. It needs to scale across long horizon forecasting tasks, real time pricing engines, and large scale optimisation workloads - not just the models that exist today. The concrete work ahead is specific: experiment tracking and a model registry are not yet in place. Backtesting infrastructure critical to the forecasting mission needs to be built. Shadow deployments will allow new models to be validated in production before they go live. And the platform needs to be designed for heterogeneous workloads, not just the models that exist today. This is a technical leadership role: you'll define the platform strategy and set the direction for the MLOps, while remaining hands on in the most critical architectural decisions. The right person has seen ML platforms scale well and has learned from the times they haven't. You'll bring that judgment to a platform that can't afford expensive detours. Responsibilities: Own the ML platform strategy: Define the roadmap from Level 1 to Level 2, making architectural decisions ahead of when they'd otherwise become blockers. Keep the platform aligned to Rosso's commercial trajectory. Build the foundations: Lead the design and build of experiment tracking, model registry, automated pipeline infrastructure, and production monitoring across all model types. Deliver backtesting and shadow deployments: Build the infrastructure the forecasting and pricing teams need to validate models reliably against historical data and in production before they go live. Set technical direction: Provide the architectural vision and standards the Senior MLOps Engineer executes against. This is a force multiplier relationship, not a management one. Partner across the team: Work closely with ML engineers and software engineers to understand what the platform needs to unlock the next wave of Rosso capabilities. Translate those needs into principled platform decisions. Choose the right tools: Evaluate the MLOps tooling ecosystem with clear eyes. Make choices that fit tem's scale and workload mix, not what's fashionable. Drive deployment reliability: Push toward more frequent, reliable model deployment cycles as Rosso moves from batch heavy workflows toward live, near real time processes. Define best practices: Establish standards for how models are trained, versioned, deployed, and monitored across the team. Create a platform ML engineers trust. What success looks like: MLOps is no longer a bottleneck, ML engineers are unblocked to focus on model quality. The time to deploy new machine learning models goes from days to minutes. The core features required from the machine learning platform are delivered before they block progress, e.g. backtesting and experiment tracking. Requirements: Must Haves: Scaled an ML platform from early stage: Demonstrable experience taking an ML platform from early stages to best in class infrastructure at a fast moving company. You've been there, done it, and you're comfortable with the messiness and ambiguity that comes with scale up life. ML pipeline expertise: Deep experience across the whole MLOps lifecycle with ML pipeline orchestration (Metaflow, Prefect, Airflow or equivalent) and ML infrastructure (Sagemaker, Vertex AI, Chalk, or equivalent). Model lifecycle tooling: Hands on experience building or operating experiment tracking systems (MLflow, W&B, or similar), model registries, and governance tooling for model fleets at scale. Knows what good looks like and what to avoid. Broad MLOps tooling knowledge: Across the ecosystem monitoring, drift detection, CI/CD for ML, containerisation, IaC (Terraform, AWS CDK). Able to evaluate trade offs and make principled choices for a specific context, not just default to what you know. Technical leadership track record: Evidence of setting platform direction, influencing cross functional teams, and defining standards at Staff+ level. Raises the quality bar through design reviews, code reviews, and mentoring. Knows when to drive strategy and when to get into the weeds. Heterogeneous workload experience: Experience designing and operating platforms serving heterogeneous workloads (e.g. forecasting, classification, operations research, etc.), not just one model type across batch and real time applications. Python, AWS + IaC: Strong Python; hands on experience with AWS and infrastructure as code (Terraform, AWS CDK). Bonus points: Worked in a role where ML is at the core of the product Familiarity with Metaflow specifically Experience with operations research, large scale optimisation in a production context Experience working with business critical time series forecasting models Exposure to reinforcement learning in a production setting Exposure to production LLM workloads, e.g. fine tuning Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with Tim, Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture Add Interview with Stakeholders (45 mins). The final session will be with two cross functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally under represented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.

For additional information, please review .Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team: Markets Operations Technology is going through an exciting phase of transformation in margin and collateral domain. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. Role Overview/What will you do: As Lead Software Engineer in our global technology team, you will be working with a group of passionate engineers who build technical solutions to complex business problems.You will be instrumental in shaping the future of our product and working towards a target state of a fully automated platform with minimal manual interventions. You will have an opportunity to participate in the whole spectrum of building a software solution, closely working with product teams and users. We expect you to contribute to our vision of building a strong engineering culture within our global teams.This role is for someone who is a strong technologist, enjoys solving engineering challenges, has experience in building robust and high-quality solutions, has excellent communication skills and can manage multiple priorities simultaneously. Key Skills and Experience required: Hands-on professional software development experience Proficiency in programming in Java, Python, JavaScript or React Experience of building RESTful APIs using popular frameworks like Spring Experience of working with event driven systems, microservices, micro-frontend UIs Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming or systems engineering Any Beneficial / Nice to have skills and experience: Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of working in investment bank or financial services industry What we'll provide you: By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.