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Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Job Summary: Iron Mountain is seeking a highly experienced and motivated IT Project Manager to join our IT department. In this role, you will be responsible for the full end-to-end delivery of complex IT projects, ensuring they are completed on time, within budget, and in accordance with IME project Governance and Control lifecycle standards. You will lead multi-disciplinary teams through a matrix management approach to deliver a variety of technologies, ranging from Cloud and Infrastructure to BI and application development. What You’ll Do (Responsibilities) In this role, you will: • Lead End-to-End Delivery: Take primary responsibility for project initiation through to closure, maintaining project plans, financial reporting, and risk/issue registers to ensure delivery remains on track and within agreed scope., • Manage Resources and Teams: Shape, build, and motivate project teams through matrix management, overseeing both permanent and contractual staff to drive high performance and project success., • Ensure Quality and Governance: Oversee the quality of all project deliverables, ensuring all technical solutions meet business requirements, architectural standards, and are approved by relevant governance boards., • Collaborate with Stakeholders: Maintain strong relationships with internal and external clients and stakeholders at all levels, planning facilitated sessions for design, analysis, and problem resolution., • Vendor and Supplier Management: Contribute to the selection and management of technical partners, software vendors, and contract agencies to ensure efficient service delivery. What You’ll Bring (Skills & Qualifications) The ideal candidate will have: • Security Clearance:Must possess valid UK Government SC Clearance!, • Experience: Strong experience in a Project Management role within a multifaceted technology environment (strong IT experience preferred)., • Technical Expertise: Proven record of accomplishment of delivering Infrastructure, BI, Cloud, and web-based solutions, with thorough knowledge of MS Project., • Methodology: Formal training in project methodologies such as Prince 2 or APMP, with a strong awareness of both Waterfall and Agile frameworks., • Leadership & Communication: Excellent influencing skills with the ability to build rapport with stakeholders at all levels and manage project budgets effectively., • Education: Basic Business Analysis skills and a commitment to quality-focused best practices. What We Offer (Benefits) • Location: 100% remote role UK., • Competitive Compensation: Salary and benefits package aligned with senior-level experience., • Comprehensive Wellness: Access to health, wellness, and retirement plans., • Professional Growth: Opportunities for continuous learning and career advancement within a global organization.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Learning & Development Partner Hybrid working (office/home based) Healthcare / regulated environment A well-established organisation operating within a regulated healthcare environment is seeking an experienced Learning & Development Partner to lead learning and development across a defined operational region. This is a highly visible, consultative role, working closely with senior operational and clinical leaders to ensure learning activity is strategically aligned, risk-based and delivers measurable improvements in capability, performance and care quality. The Role As Learning & Development Partner, you will act as the strategic owner of learning within your region, partnering with Operations Directors, Regional Service Directors and local leadership teams to deliver impactful, future-focused learning solutions. Key elements of the role include: • Owning and delivering a single, integrated regional learning plan aligned to clinical, operational and regulatory priorities, • Providing professional L&D consultancy to senior stakeholders, • Driving consistency, discipline and quality in learning delivery across multiple sites, • Feeding regional insight into central L&D strategy and curriculum development Key Responsibilities Regional Learning Planning & Alignment • Develop and maintain a regionally owned annual learning plan aligned to:, • clinical and operational priorities, • workforce risks and capability gaps, • statutory, mandatory and regulatory requirements, • Work with senior operational, quality and clinical stakeholders to prioritise learning needs, • Ensure plans are realistic, resourced and risk-based Monitoring, Evaluation & Performance Improvement • Track delivery against the learning plan and escalate risks to completion, • Evaluate learning quality and impact using feedback, compliance data, competence assessments and training matrices, • Identify performance trends and recommend improvements or changes to delivery approach Quality Assurance of Training Delivery • Observe learning delivery to assess quality, accuracy, consistency and effectiveness, • Provide coaching and developmental feedback to facilitators and trainers, • Ensure learning is delivered by appropriately skilled and competent facilitators Learning Strategy & Insight • Provide insight to central L&D on curriculum gaps, outdated content and emerging needs, • Represent regional risks, priorities and opportunities within central L&D forums Stakeholder Engagement • Act as the primary L&D contact for senior regional stakeholders, • Build strong working relationships across Operations, Quality, Clinical, HR and L&D teams, • Act as a connector between regional operations and the central L&D function Reporting, Insight & Risk Management • Produce concise, insight-led reports covering progress, risks, capability gaps and compliance issues, • Ensure learning data is accurate, reliable and triangulated with workforce and performance data, • Implement and monitor evaluation frameworks to demonstrate learning impact About You You will be a confident and credible L&D professional with experience operating in complex or regulated environments, ideally within healthcare. Essential skills and experience: • CIPD Level 5 in Learning & Development (or equivalent), • Strong understanding of adult learning principles and instructional design, • Experience of L&D governance, compliance frameworks and Learning Needs Analysis, • Proven experience delivering both clinical and non-clinical learning solutions, • Strong stakeholder management and influencing capability, • Experience leading L&D initiatives across multiple sites or regions, • Proven ability to evaluate learning impact and drive continuous improvement, • Strong analytical and reporting skills, • Confident use of LMS platforms and digital learning tools, • Coaching and mentoring capability Desirable: • Hybrid working model, • Flexibility required around working hours and travel, • UK driving licence required where applicable, • Pre-employment checks will be required, • Strong commitment to safeguarding, health & safety, and equality, diversity & inclusion This role offers the opportunity to make a tangible impact on workforce capability, learning quality and organisational performance within a values-led, regulated environment. Apply directly to be considered or email

Fresh graduates are welcome to apply. We require you to possess a strong sense of curiosity and a willingness to learn. The company looks forward to growing together with you. Location: United Kingdom Key Responsibilities: 1. Responsible for designing 3D treatments using Smartee's Smart check design software., 2. Support customer by phone, email and/or remote support., 3. Active collaboration with sales and customer service group to fully meet customer needs. Requirements: 1. Bachelor's Degree above or equivalent experience /certifications., 2. Excellent computer literacy., 3. No limit to majors, but Medical/Dental Medicine majors is preferred., 4. Holding a PSW visa., 5. IELTS score of 6.5 or above., 6. Chinese and English can be used as working languages. We Offer 1. Systematic training and long-term learning time., 2. Competitive salary and benefits., 3. Opportunities for career growth and professional development., 4. A collaborative and supportive team environment. 3D Treatment Designer(专员/经理岗位) 本岗位接受应届生投递。 我们期望您具备强烈的好奇心以及乐于学习的态度。公司期待与您共同成长。 工作职责： 1.使用正雅（Smartee）的 Smart Check 设计软件进行三维矫治方案设计。 2.通过电话、电子邮件及/或远程支持为客户提供协助。 3.积极与销售及客服团队协作，全面满足客户需求。 任职要求： 1.本科及以上学历，或具有同等经验/证书。 2.优秀的计算机应用能力。 3.专业不限，医学/口腔医学相关专业优先。 4.持有 PSW 签证。 5.雅思成绩 6.5 分及以上。 6.中英文可作为工作语言。 我们提供 1.系统化培训及长期学习时间。 2.具竞争力的薪酬与福利。 3.职业发展及专业提升的机会。 4.协作互助、积极向上的团队氛围。

About Us: Beazley Security is a global cybersecurity firm committed to helping clients enable advanced cyber defenses that reduce risk with quantifiable results. We’re comprised of top talent from private industry, government, intelligence, and law enforcement who are specialists in threat detection, incident response, digital forensics, offensive security, risk management, and cyber resilience. As a subsidiary of specialty insurance giant, BeazleyInsurance, we’ve been at the forefront of cyber insurance management and breach response activities for business clients in the US, UK, and Europe since 2017. As Beazley Security, the company will have an expanded scope, leveraging nearly two decades of cyber incident experience, a strong services division, and a business strategy focused on growth, to realize our goals and deliver benefit for clients. As a company, we are committed to upholding our core values of Belonging, Integrity, Service, Accountability, and Curiosity. We believe these values are essential to creating a strong and inclusive workplace culture, as well as to delivering world-class cybersecurity solutions to our clients worldwide. As Beazley Security, these values will continue to thrive, with an extra emphasis on expansion of our capabilities and capacity in helping solve unique client challenges. Summary: Beazley Security is seeking a Director of Engineering to lead and scale our software engineering function across multiple product teams building secure, high-performance applications that power our cybersecurity products and services. You’ll set technical direction, strengthen team health, and drive delivery excellence across an organization operating with modern engineering practices including cloud-native architectures, containerization, scalable service design, CI/CD, infrastructure-as-code, and DevSecOps standards. Reporting to the Deputy Chief Product & Technology Officer, you’ll partner closely with Product, Security, IT, and other stakeholders to translate business objectives into dependable engineering execution. You will also help shape our AI strategy, both in how our products responsibly leverage AI capabilities and in how our teams use AI-assisted development tools to securely accelerate delivery, while evolving the engineering team into a scalable, multi-tier organization that supports Beazley Security’s continued growth. This role is ideal for a technical leader with deep software development expertise who thrives at the intersection of people management, product growth, and strategic thinking in a fast-paced, security-conscious environment. Key Responsibilities: Technical Leadership & Strategy • Define and execute the engineering strategy in alignment with Beazley Security’s product roadmap and business objectives, partnering with the Deputy CPTO, CPTO, and Director of Product on long-term technical vision., • Lead architectural planning across all product lines ensuring systems are designed for scalability, reliability, security, and maintainability., • Guide technology decisions, development frameworks, tooling, and infrastructure standards across engineering teams., • Evaluate and adopt emerging technologies, including cloud-native architectures, microservices, and modern DevOps practices, to keep the engineering function at the leading edge. Team Leadership & Management • Directly lead and mentor a growing engineering team evolving the organization from a flat structure into a scalable, multi-tiered team with engineering managers and technical leads over time., • Drive performance management and career development across the team while fostering a culture of accountability and curiosity., • Define the engineering org structure and resourcing plans to support company growth including succession planning and leadership development., • Guide and coordinate outsourced engineering partners alongside the in-house full-time Engineering team by leveraging subcontracting relationships while ensuring both standards and delivery goals are consistently met. Platform Engineering & Reliability • Ensure all products operate reliably on a 24/7 basis, including uptime, incident response, and on-call processes., • Partner with IT to own and manage cloud infrastructure across AWS and Azure, ensuring environments are secure, cost-efficient, and aligned with security and compliance requirements., • Establish and maintain observability, monitoring, and alerting practices to proactively identify and resolve system health issues., • Continue to evolve and optimize our infrastructure-as-code practice and CI/CD pipelines, strengthening deployment automation to further improve delivery velocity and reliability. Project & Delivery Oversight • Oversee execution of engineering projects across multiple product teams ensuring timely delivery and code quality while aligning with the goals of the roadmap and products., • Collaborate with Product to scope and prioritize engineering work within agile delivery frameworks., • Remove blockers and enable teams to operate efficiently and independently while balancing speed with quality and security., • Establish delivery metrics and reporting cadences to provide visibility into engineering velocity and capacity and risk. Cross-Functional Collaboration • Serve as the primary engineering liaison across departments within Beazley Security., • Ensure technical alignment with Beazley Security’s cybersecurity service offerings and evolving client needs., • Partner with Finance to track engineering spend across products and support software capitalization (CapEx) reporting., • Represent the engineering perspective in leadership discussions and planning sessions and client-facing conversations as needed. Engineering Operations • Establish and continuously improve engineering workflows, coding standards, testing practices, code review processes, and deployment pipelines., • Define and monitor key engineering KPIs and quality metrics., • Champion a culture of secure development ensuring security is embedded in the SDLC through practices., • Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation • Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling., • Help define and ensure policies and best practices are met for the secure and responsible adoption of AI-assisted coding tools (e.g., code generation, automated testing, AI-powered code review) across the team., • Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value., • Stay current with advancements in AI and assess its applicability to engineering workflows and product features to suggest improvements. Qualifications: • 8+ years of professional software engineering experience with at least 3–5 years in engineering leadership roles managing multi-team or multi-product engineering functions., • Proven track record of building, scaling, and retaining high-performing technical teams, including experience evolving organizational structures as teams grow., • Strong technical foundation in modern software development (e.g., Python, Node.js, TypeScript, Go) and cloud-native development on AWS Fargate and/or Azure EKS., • Experience working in or adjacent to environments where security and compliance are paramount., • Deep understanding of engineering best practices including CI/CD, agile methodologies, infrastructure-as-code, secure coding, and DevSecOps., • Experience with AI capabilities to help guide AI usage within products and in adopting AI-powered developer tools across the engineering team would be preferred., • Experience managing cloud infrastructure partnerships with IT including cost optimization, security hardening, and multi-cloud environments., • Experience leading or integrating outsourced/subcontracted engineering teams alongside in-house staff., • Excellent leadership, communication, and stakeholder management skills. Beazley Security offers: • Fully remote work opportunities to fit your lifestyle., • Competitive salary with a commission structure., • Flexible working arrangements to support balance., • Generous parental leave to support your family., • Private healthcare for your peace of mind., • A strong pension scheme to help secure your future., • A lifestyle allowance to enhance your well-being., • Life insurance and long-term disability coverage for added security., • Opportunities to grow through career advancement and ongoing training., • Access to industry conferences and events for professional development.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

!! IMMEDIATE JOINERS !! Software Engineer Location : Bournemouth / Scotland / London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Software Engineer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits]. #java #android #software #dotnet #c++ #c #immediatejoiner #softwaredevelop #developer

Senior Front-end Developer (AI-First SaaS Platform) Compensation: Competitive, based on location and experience Location: Turkey — Hybrid (Istanbul office 1 day/week + remote) Keepnet is an AI-driven SaaS platform helping organisations manage human cyber risk at scale. We’re growing strongly in the UK with increasing global momentum. With Agentic AI live in production, Keepnet runs autonomous systems that plan, build, and operate security awareness and human risk workflows — supported by strong guardrails, auditability, and observability. We’re looking for a Senior Front-end Developer who wants to build production-grade web experiences that power these systems — in an AI-first engineering team where quality, ownership, and long-term thinking matter. What You’ll Do • Build and own key parts of Keepnet’s web application (Vue/Nuxt), including performance, reliability, and maintainability., • Design and develop clean, modular UI components and shared packages (design system patterns, reusable modules)., • Implement AI-driven user experiences: human-in-the-loop approvals, guardrails-aware UI, clear feedback loops, and audit-friendly flows., • Integrate with internal APIs (and relevant third parties) to enable automation, reporting, and security workflows., • Create resilient UX for async workflows (jobs, queues, long-running tasks): polling, retries, idempotent actions, progress states, and error recovery., • Improve and maintain frontend observability (client-side logging, metrics, tracing where applicable; tools like Sentry) to prevent incidents rather than react to them., • Write and maintain automated tests across levels (unit/component and E2E) to increase release confidence., • Collaborate closely with Product, Design, Backend, and Customer-facing teams to ship features that solve real customer problems., • 5+ years building modern web applications for production SaaS., • Strong experience with Vue.js (Vue 2 & Vue 3) and Nuxt (Nuxt 2/3). (If you’re strong in Vue and can ramp quickly on the other, that’s ok.), • Solid knowledge of TypeScript, modern JavaScript, and browser fundamentals., • Strong understanding of API integration and real-world frontend architecture (state management, routing, data-fetching patterns, error handling)., • Ability to build for reliability: monitoring, debugging, incident hygiene, and continuous improvement., • Experience improving performance (Core Web Vitals, bundle optimization, SSR/CSR trade-offs, caching strategies)., • Experience with frontend testing (unit/component + E2E) and setting pragmatic quality bars., • Comfortable taking ownership beyond deployment: you ship it, you support it., • Hands-on experience using AI-assisted development and design tools such as Cursor, Figma Make, or similar — using AI daily for coding, refactoring, UI generation, and iteration, while maintaining strong engineering judgment and code quality. Nice-to-haves • Experience with Azure-based delivery pipelines (CI/CD) or cloud-native environments., • Experience with design systems (Storybook), and strong collaboration with Figma workflows., • Familiarity with accessibility (WCAG) and internationalisation (i18n, including RTL languages)., • Familiarity with React (helpful for cross-team collaboration, not required). Security mindset (important) • You build systems that are secure by design: XSS/CSRF awareness, safe auth/token handling, dependency hygiene, and careful data display. Tech Stack (Current) • Frontend: Vue (2 & 3), Nuxt, • Cloud / Delivery: Azure (CI/CD), • Observability: Sentry (and related logging/monitoring patterns) (We don’t expect you to know every tool on day one — we care about fundamentals and ownership.) Life at Keepnet Engineering at Keepnet is about craft, collaboration, and impact. What you can expect: • Hybrid working: In-office collaboration + remote focus time, • Thoughtful engineering: Time to design systems properly, not just ship quickly, • Global context: Work on a multinational platform used across multiple regions, • AI-first environment: AI-assisted development and production-grade AI systems are part of everyday work, • Team culture: Monthly team lunches and quarterly offsites, • Care about clean architecture, maintainability, and product quality, • Enjoy working with experienced peers who challenge each other constructively, • Prefer preventing incidents over reacting to them, • Want to build software used by real customers at real scale, • Believe good engineering is as much about ownership and judgment as it is about code If that sounds like you, we’d love to talk.

Job Requirements Quest Global is an organisation at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognised expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility. We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognise that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you. We are looking to expand our ILS Engineering capability in all levels of experience and are keen to hear from you if you feel you’re ready to take the next step in your career. You must be a sole UK national who is able to achieve and maintain Security Check (SC) and Naval Nuclear Propulsion Information (NNPPI) security clearances for this role. Job Description As a Senior RAM Engineer, you'll have a role that's out of the ordinary where you will have the opportunity to be involved in complex engineering projects to ensure that the UK's submarines are safe, available, and maintainable. We are looking for an RAM Engineer support the customer’s design team and ultimate support requirements. You will be delivering as part of an extended team, responsible for ensuring that the systems are not only high-performing but are also Operationally Available and Cost-Effective to maintain throughout their 30+ year lifecycle. Key Responsibilities: • Availability Modelling: Develop and maintain Reliability Block Diagrams (RBDs) and math models to predict platform and system availability against MoD targets within a Submarine environment., • Risk & Failure Analysis: Lead FMECA (Failure Mode, Effects, and Criticality Analysis) workshops to identify single points of failure and recommend design mitigations., • Reliability and Maintainability (R&M): Generating claims and arguments for R&M performance predictions and substantiating these with evidence in accordance with strict MoD regulations/standards., • Stakeholder Interface: Serve as the strategic interface between design, supply chain, and the customer to negotiate data-driven trade-offs that balance technical reliability with operational availability and through-life cost, • RAM Lead: Managing and developing a team of Reliability Engineers, acting as the focal point within your team and overseeing the overall delivery of RAM., • Data Reporting: Manage the FRACAS (Failure Reporting, Analysis, and Corrective Action System) to ensure "closed-loop" learning from testing into production., • Spares Optimization: Able to perform complex spares optimization and Level of Repair Analysis (LORA) Work Experience Qualifications & Experience • Degree in Systems, Mechanical, Electrical Engineering, or related discipline., • Understanding of the use of R&M domain metrics such as availability, failure rate, Mean Time Between Failure (MTBF), Mean Time to Failure (MTTF), Mean Active Repair Time (MART)., • Proven experience in reliability modelling techniques such as Fault Tree Analysis, Reliability Block Diagrams, and Markov Modelling., • Knowledge of R&M theories such as Boolean algebra; Bayesian statistics; Monte Carlo simulation processes., • Have an awareness of S1000D and how R&M interacts with technical publications., • Have worked in or with UK Defence, specifically as part of a Delivery Team or worked with MoD Equipment Delivery Teams as an industry partner., • Software Proficiency: Expert user of industry-standard tools used in ARM environments (e.g.Systecon Suite, Reliasoft, Windchill Risk and Reliability). A familiarity with OPUS10 modelling tool is also desirable. Desirable Attributes: • Good Communication skills - Makes clear and convincing oral presentations; listens effectively; clarifies information as needed., • Specific submarine experience is highly desired but experience across suitable UK Defence sectors such as Aerospace is also considered, • Deep familiarity with Def Stan 00-600 (ILS) and Def Stan 00-40/42 (AR&M)., • Experience in managing or leading a project team.

About us Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture. About the role We’re looking for a senior engineering leader to shape and lead our full‑stack technology unit. This role will oversee both front‑end and full‑stack teams, driving the development of a brand new product in our portfolio. This role is to lead our efforts on this platform, to establish best practice, ways of working and to hold internal and external contributors to the project to high standards. This role is expected to be a subject matter expert in front-end technologies, so will provide coaching and mentoring to front-end and full-stack engineers around them. This role will also line manage more junior colleagues, setting objectives and helping to develop their careers. The ideal candidate is passionate about software engineering, an agile native and well-versed at delivering software at scale. We’re passionate about collaboration, test automation and quality. Key responsibilities include: • Lead and inspire your team of Engineers, fostering a culture of collaboration, innovation and excellence, • Line management responsibilities, including setting clear goals, providing guidance and conducting performance reviews to ensure engineers meet their potential, • Coordinate with cross-functional teams to align development efforts with overall project goals, • Serve as a mentor and role model for team members, providing guidance and support in their career development, • Drive the technical direction of full stack software engineering for Portal and sibling projects, • Help drive the technical direction of front-end engineering within CitNOW (and other teams/functions as required), • Create elegant and maintainable code to drive consistency and predictability, • Collaborate with product owners to ensure technical solutions align with business objectives, • Collaborate and support product owners in running agile ceremonies and conducting refinement sessions, • Stay updated with industry best practices and emerging technologies to guide the team in making informed technical decisions, • Ensure code quality and adherence to best practices, conducting code reviews and implementing coding standards. A key responsibility is to help define these standards and ensure they are adhered to across the front-end team, • Help implement and enforce responsible use of AI in the SDLC, driving efficiency and quality, whilst retaining control/oversight, • Implement and maintain automated testing processes appropriate tools to guarantee the reliability and stability of applications, • Champion a culture of continuous improvement in coding and development processes, with a strong focus on test automation We're looking for: • Demonstrated technical leadership experience, including mentoring developers, setting standards, and guiding delivery, • Expert-level proficiency in TypeScript across both frontend and backend development, • Extensive experience building scalable applications using React (modern patterns, hooks, performance optimisation), • Strong expertise in Node.js backend development, preferably with NestJS or similar frameworks, • Solid understanding of state management and data-fetching strategies (e.g. Redux Toolkit, React Query), • Experience with component libraries and design systems (e.g. PrimeReact or similar), • Strong knowledge of relational databases, particularly PostgreSQL, with experience using ORMs such as Prisma, • Experience designing and working with event-driven and asynchronous systems (e.g. Kafka, message queues, background job processing with Redis/BullMQ), • Familiarity with authentication and authorisation mechanisms, including JWT and OAuth2/OIDC providers (e.g. Keycloak), • Proficiency with containerisation technologies such as Docker and understanding of modern deployment workflows, • Experience with CI/CD pipelines (e.g. GitLab CI) and maintaining high standards of code quality (ESLint, Prettier, automated checks) In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued. View our candidate privacy policy here - ___

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

We’re growing — and we need a quality champion. Internal Quality Assurer (Fixed Term to Jan 2027) At Apprentify, our mission is simple: unlock talent and accelerate digital transformation. We partner with ambitious organisations across the UK to upskill and reskill people in digital, data, AI, cyber and tech roles — creating future‑ready talent that drives real business impact. Following our Outstanding (Grade 1) achievement in 2022, we’re looking for a passionate Internal Quality Assurer to help us maintain and elevate our high standards. 🔍 What you’ll do • Lead internal quality assurance across apprenticeship programmes, • Conduct sampling, deep dives, interviews and curriculum QA, • Observe teaching, learning and assessment — providing developmental feedback, • Support Development Coaches through coaching, CPD and capability building, • Contribute to curriculum design, standardisation and quality improvement, • Ensure full compliance with AO and EPAO requirements 💡 What you bring • Strong experience IQA’ing apprenticeship standards, • Background in delivering and assessing apprenticeships, • Confidence in observing teaching & learning, • A track record of raising standards and developing staff, • Solid understanding of Ofsted and the EIF 🎯 Essential Skills & Experience • Competence and experience IQA’ing within apprenticeship standards, • Experience of delivering Apprenticeship Standards and Assessing, • Experience in observations of teaching and learning, • Proven track record of raising standards of delivery, developing staff and leading visits, • Sound knowledge of Ofsted and the Education Inspection Framework ⭐ Desirable • Experience with Bud Systems, BKSB, CognAssist 🌟 What High Performance Looks Like High performance means delivering impact, driving innovation and championing excellence. In this role, it looks like: Outstanding Delivery • Role‑models Apprentify’s values — excellence, impact, innovation and inclusivity — and champions a learner‑centred approach. 📅 Fixed term until January 2027 🎁 What We Offer: • Competitive salary, • 25 days annual leave (plus bank holidays), increasing with length of service., • Private medical insurance., • Birthday Leave + Volunteer Day., • Hybrid working with regular collaboration days in our Wilmslow HQ., • Ongoing professional development and leadership support., • A culture of high performance, innovation, and impact, where your contribution directly shapes Apprentify’s success. 🔐 Safer Recruitment checks apply If you’re driven by excellence and excited to shape the future of digital skills, we’d love to hear from you.

Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

About the Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. About the Role The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring-up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early-phase board design and integration., • Ensure designs and deliverables comply with DO-254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low-complexity designs. Qualifications • Bachelor’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline. Required Skills • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL-D)., • Awareness of DO-254 or similar hardware certification standards is an advantage.

Background: Agilio Software Group is a leading UK healthcare operations software provider, delivering integrated, mission critical solutions that support primary care, dental, pharmacy, hospital, and veterinary organisations. We have ambitious and exciting growth plans and are looking for talented individuals to be part of our journey. iLearn is our learning and compliance platform, supporting healthcare organisations to meet regulatory requirements, maintain workforce competence, and deliver high quality patient care. The role: As a Lead Software Engineer, you will lead a technical team delivering high quality products and services for the iLearn platform across the full software development lifecycle. You’ll combine hands on technical expertise with people leadership, designing and building scalable, secure, cloud based solutions that directly support our business objectives. Key Responsibilities: • Lead a cross functional engineering team delivering features and improvements for the iLearn product, from technical design and development through to deployment and ongoing support., • Provide line management and pastoral care for a small team of software engineers, supporting performance, wellbeing, and professional development., • Take technical ownership of the design, development, and maintenance of full stack applications and services underpinning iLearn., • Contribute to planning, estimation, scheduling, and resourcing, helping to deliver work predictably and efficiently., • Communicate technical designs, risks, and progress clearly to senior stakeholders and non technical audiences., • Apply a deep understanding of modern software design patterns and engineering best practices, ensuring solutions are scalable, maintainable, and fit for purpose., • Champion and implement automated testing across functional, acceptance, performance, and security domains to ensure quality is built in from the outset., • Work closely with platform, product, and operations teams to ensure systems are observable, resilient, operationally sound, and secure., • Design and develop cloud deployable services, continuously improving application architecture and infrastructure where appropriate., • Act as a technical authority, leading design discussions, reviewing and approving code, and diagnosing and resolving complex issues., • Build, maintain, and improve CI/CD pipelines to support reliable, automated deployment of products and services., • Promote a strong engineering culture, encouraging best practice, collaboration, and continuous improvement across the team., • Share knowledge and emerging technical insights with the wider engineering community and mentor junior engineers to support their growth., • Support the growth of the team by participating in recruitment and onboarding of new engineers., • Maintain clear and appropriate technical documentation to support long term maintainability and knowledge sharing Essential • Minimum of 5 years’ experience in software engineering, • Strong experience as a Senior or Lead Full Stack Software Engineer, • Proven experience leading engineers and delivering software end to end, • Deep understanding of modern software design patterns and best practices, • Hands on experience with cloud based architectures and services, • Strong knowledge of CI/CD pipelines and automated deployments, • Experience building scalable, resilient, secure, and observable systems, • Commitment to code quality, maintainability, and testing, • Confident code reviewer and technical decision maker, • Ability to mentor engineers and support their development, • Strong communication skills with technical and non technical stakeholders Agilio operates in regulated, mission critical healthcare environments. You’ll need: • The ability to translate complex business domains into technical solutions, • Awareness of security, resilience, and operational risk, • A mindset focused on reliability and quality, not just feature delivery Additional Information Job type: The role is remote with occasional travel to one of our offices on an ad-hoc basis. Salary: Competitive + generous benefits Income Protection Life Assurance Enhanced pension Health Cash plan 28 days annual leave + bank holidays Sick pay scheme A range of flexible benefits available through our Agilio Flex portal If you feel you have what it takes to join our team, we look forward to receiving your application! We welcome applications from all backgrounds and are committed to creating an inclusive workplace. If you need adjustments during the recruitment process, please let us know. Due to the high volume of applications we receive, we are unable to respond to every applicant individually. If your application is shortlisted, we will contact you directly.

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Company Description SoftInWay UK Ltd. is an engineering solutions company recognized for its innovative software, engineering services, and educational offerings. The company is dedicated to providing cutting-edge solutions that advance the development and optimization of engineering designs, catering to a variety of industries. With a strong commitment to innovation and collaboration, SoftInWay fosters an environment for professionals to thrive and contribute to groundbreaking projects. Role Description This is a full-time, on-site role located in Bristol, United Kingdom for a Senior Machine Learning Engineer. The selected candidate will be responsible for: • Architecting the ML Solver Platform:, • Define modular architecture for data preprocessing, model execution, and post-processing., • Establish clear API contracts between Python/TensorFlow and C# services., • Design, develop, and implement advanced machine learning algorithms and models, focusing on pattern recognition and neural network applications, • Productionizing ML Workflows:, • Convert research code into robust, testable, and observable services., • Implement CI/CD pipelines, automated testing, and reproducibility standards., • Integration & Interoperability:, • Design REST/gRPC endpoints for cross-language communication., • Ensure compatibility with C#/.NET services., • Performance & Scalability:, • Optimize GPU/CPU utilization, batching strategies, and memory management., • Plan for multi-model and multi-tenant scenarios., • MLOps & Lifecycle Management:, • Implement model versioning, artifact registries, and deployment workflows., • Set up monitoring, logging, and alerting for solver performance., • Security & Compliance:, • Apply best practices for secrets management, dependency scanning, and secure artifact storage. Additional responsibilities include analyzing large datasets, developing and improving algorithms, and collaborating with cross-functional teams to address engineering challenges and deliver optimized solutions. Required Skills & Experience • ML Frameworks: Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference., • Programming: Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling., • Architecture: Proven experience designing scalable ML systems for production., • APIs: Proficiency in gRPC/Protobuf and REST for cross-language integration., • MLOps: CI/CD pipelines, containerization (Docker/Kubernetes), model registries, reproducibility., • Performance Optimization: GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling., • Observability: Metrics, tracing, structured logging, dashboards., • Security: SBOM, image signing, role-based access, vulnerability scanning. Qualifications • Expertise in Pattern Recognition and Neural Networks, • Strong foundation in Computer Science and proficiency in developing scalable solutions, • In-depth knowledge of Statistics and advanced Algorithms, • Experience with tools and techniques relevant to machine learning and data analysis, • Master's or PhD in Computer Science, Data Science, Engineering, or a related field, • Problem-solving skills and the ability to collaborate with interdisciplinary teams, • Prior experience in the engineering, manufacturing, or industrial sector is a plus

Iron Mountain Data Centers is seeking a proactive and effective ServiceNow Business Analyst to join our Service Management team. In this role, you are not just gathering requirements—you are the "super BA" acting as the essential link between business needs and the full power of the ServiceNow platform. You will work closely with our Platform Architect to lead the strategic evolution of our functional designs. This role is 100% remote for candidates based in the UK, Hungary, or Poland. What You'll Do (Responsibilities) In this role, you will: • Requirements Management: Manage the complete requirements lifecycle—from elicitation and functional specification to technical design alignment and final validation. You will capture and simplify business requirements directly within ServiceNow and curate a prioritized product backlog., • Process Improvement & Platform Strategy: Proactively analyze current processes to address inefficiencies and design optimal future-state workflows that utilize automation. You will collaborate with the Platform Architect to transform long-term strategy into actionable user stories., • Stakeholder Liaison & Leadership: Serve as the primary liaison between business and development teams, ensuring all parties agree on acceptance criteria. You will also act as a Scrum Master or core contributor, driving cross-functional collaboration and facilitating negotiations to resolve issues., • Platform Advocacy: Serve as the Subject Matter Expert (SME) for all active modules and identify in-platform enhancements to improve user experience and ensure adherence to documented processes. What You'll Bring (Skills & Qualifications) The ideal candidate will have: • Experience: Proven experience on ServiceNow, Salesforce, or similar building management systems/CRM. Experience in the data center or REIT industry is preferred., • Technical Expertise: Proficiency with the ServiceNow platform and Enterprise product suite, along with knowledge of the ITIL service management framework., • Agile Proficiency: Solid experience with Agile/Scrum methodologies, including project ceremonies and artifacts., • Analytical Skills: Exceptional critical thinking and structured problem-solving skills, with a proven ability to perform impact, gap, and cost/benefit analyses., • Communication: Excellent technical writing and verbal communication skills; able to articulate complex concepts to both technical and executive audiences., • Education/Certifications: A Bachelor’s degree in Engineering, IT/IS, or a related field (or professional certification). A ServiceNow System Administration Certification is highly desired. What We Offer (Benefits) • Location: 100% remote role from UK, • Competitive Compensation: Salary and benefits aligned with your experience., • Work-Life Balance: Flexible work options and alternative work arrangements to support your personal needs., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Growth: Opportunities for continuous learning and professional growth within a global organization. Ready to Join Iron Mountain? If you are a strategic thinker ready to drive the future of service management and automation, we want to hear from you. Apply today to join a team that values innovation, collaboration, and professional excellence!

Senior Backend Developer (.NET | AI-First SaaS Platform) Compensation: Competitive, based on location and experience Location: UK or Turkey (Hybrid – Office & Remote) Keepnet is an AI-driven SaaS platform experiencing strong, sustained growth in the UK with growing global momentum, helping organisations manage human cyber risk at scale. With Agentic AI live in production, Keepnet runs autonomous systems that plan, build, and operate security awareness and human risk workflows, supported by strong guardrails and observability. We’re looking for a Senior Backend Developer who wants to build production-grade backend services that power these systems, working in a multinational, AI-first engineering team where quality, ownership, and long-term thinking matter. What You’ll Do • Design, build, and maintain scalable backend services for Keepnet’s Human Risk Management platform., • Build clean, modular APIs that integrate internal services and third-party systems to enable automation, reporting, and security workflows., • Develop testable, maintainable codebases using principles such as Clean Architecture, DDD, and TDD., • Own the full development lifecycle: design, implementation, CI/CD (Azure), and post-release monitoring., • Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows., • Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues., • Collaborate closely with frontend, product, and customer-facing teams to deliver features that solve real customer problems., • Participate in Agile ways of working, focused on iteration, ownership, and continuous improvement. What We’re Looking For • 8+ years of experience building backend systems with .NET., • Strong understanding of API design, distributed systems, and asynchronous architectures., • Experience with SQL and NoSQL databases (PostgreSQL preferred), caching, and queuing systems., • Familiarity with cloud environments and DevOps practices (Azure preferred)., • Comfort working on production SaaS platforms, with ownership beyond deployment., • Experience using AI-assisted development tools (e.g. Cursor or similar) to support code exploration, refactoring, testing, or design discussions—while maintaining strong engineering judgment., • A strong sense of ownership and production accountability, including monitoring, debugging, and continuous improvement., • Ability to understand product and business context, making pragmatic technical decisions that balance user value, risk, and long-term goals., • A security-conscious mindset, building systems that are secure by design. Life at Keepnet At Keepnet, engineering is about craft, collaboration, and impact. What you can expect: • Hybrid Working: A balance of in-office collaboration and remote focus time., • Thoughtful Engineering: Time and space to design systems properly, not just ship quickly., • Global Context: Work on a multinational SaaS platform used across multiple regions., • AI-First Environment: AI-assisted development and production-grade AI systems are part of everyday work., • Annual Leave: 25 days (+1 per year of service)., • Health & Well-being: Gym support and cycle-to-work scheme., • Team Culture: Monthly team lunches and quarterly offsites., • Continuous Learning: Learn from experienced peers and grow your skills over time. Why This Role Is Different This role is for engineers who: • Care about system design and long-term maintainability, • Enjoy working with experienced peers who challenge each other constructively, • Prefer preventing incidents over reacting to them, • Want to build software used by real customers at real scale, • Believe good engineering is as much about ownership and judgment as it is about code If that sounds like you, we’d love to talk.

📱 Junior .Net Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Junior .Net Developer (Android) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior .Net Developer (Android) with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Project Manager – HVDC Converter Stations (Major Grid Infrastructure Project) Location: Hybrid (UK-based site & office travel) Type: Permanent Overview An exciting opportunity to lead the delivery of high-voltage direct current (HVDC) converter station infrastructure as part of a nationally significant electricity transmission programme. This role is central to enabling the UK’s energy transition and strengthening cross-border grid connectivity. Key Responsibilities • Manage the full lifecycle of HVDC converter station delivery, from design through commissioning, • Coordinate multidisciplinary teams including engineering, procurement, construction, and commissioning, • Interface with internal stakeholders, contractors, OEMs, and grid operators, • Ensure compliance with technical specifications, safety standards, and regulatory requirements, • Oversee project controls including budget, schedule, risk, and reporting, • Support contract management under NEC or FIDIC frameworks, • Drive quality assurance and performance across all phases of delivery Requirements • Proven experience delivering large-scale electrical infrastructure projects, ideally HVDC or transmission-related, • Strong understanding of converter station systems, grid integration, and high-voltage technologies, • Familiarity with project controls tools (e.g., Primavera P6, MS Project) and contract management, • Excellent stakeholder engagement and communication skills, • Degree in Electrical Engineering, Project Management, or related discipline, • Chartered status or professional certification (e.g., PMP, APM, PRINCE2) preferred Why Apply? • Be part of a transformative energy infrastructure programme, • Work on cutting-edge HVDC technology and grid innovation, • Long-term career development in a growing sector, • Competitive package and collaborative team culture Do you want to work on one of the leading projects in the Great Grid Upgrade? This project is entering construction phase very early into the new year, thus making the need for finding the right people that more important. If you are interested in learning more, don't hesitate to reach out and get something booked into the diary. Project Manager – HVDC Converter Stations (Major Grid Infrastructure Project)

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

📱 Junior Android Developer | Building the Future of Mobile !! IMMEDIATE JOINERS !! Mobile Engineer (Junior Android Developer) Location : London Work mode : Onsite Experience: 2–5 years CITIZEN & DEPENDENTS Are you a mobile enthusiast who lives for clean code and smooth UI transitions? We are looking for a Junior Android Developer with 1+ years of professional experience to join our engineering team. At this stage in your career, you’ve moved past "Hello World" and are ready to tackle real-world scalability, complex APIs, and the occasional Gradle headache. If you’re eager to learn from seniors while making a tangible impact on a product used by thousands, let’s talk. 🛠️ What You’ll Do • Feature Development: Collaborate with our product and design teams to build and ship high-quality features for our Android application., • Code Quality: Write clean, maintainable code in Kotlin (and some legacy Java) while following modern architectural patterns (MVVM/MVI)., • UI/UX Implementation: Turn Figma designs into pixel-perfect layouts using Jetpack Compose or XML., • Bug Squashing: Identify, debug, and fix performance bottlenecks and edge-case crashes., • Continuous Learning: Participate in code reviews, contribute to technical documentation, and stay up-to-date with the latest Android Jetpack libraries. ✅ What You Bring • Experience: 1+ years of professional experience in Android development (internships count if they were high-impact!)., • Language Proficiency: Strong foundations in Kotlin and a solid understanding of Java., • Android SDK: Familiarity with Activities, Fragments, Services, and Lifecycle components., • Networking: Experience working with RESTful APIs using Retrofit and handling JSON data., • Tooling: Proficiency with Git and a working knowledge of Android Studio., • Mindset: A "can-do" attitude and the humility to ask for help when a bug just won't budge. 🌟 Bonus Points if You Have: • A published app on the Google Play Store (send us the link!)., • Experience with Dependency Injection (Hilt/Dagger)., • Familiarity with Coroutines and Flow for asynchronous programming., • A passion for Material Design 3. 🚀 Why Join Us? • Mentorship: Work directly with Senior Developers who actually enjoy teaching., • Tech Stack: We stay on the cutting edge—no ancient legacy codebases here., • Growth: A clear path to becoming a Mid-level Developer within [Timeframe]., • Perks: [Insert Perks: e.g., Remote-first culture, Learning stipend, Health benefits].

About SolaX Power Established in 2012, SolaX Power is dedicated to helping our customers transform their homes and businesses to clean energy and reducing the reliance on fossil fuels. SolaX Power is a leading provider of sustainable solar and energy storage solutions, with a strong presence in Europe, Asia, and Africa. Now we have more than 2800 employees globally, and we continue hiring talents to join us. At SolaX, a global organization, your career can reach its full potential. Position Overview The BESS Technical Support Engineer / Specialist is responsible for providing pre-sales and post-sales technical support for Battery Energy Storage Systems (BESS), ensuring optimal performance and customer satisfaction. This role requires a strong understanding of energy storage technology, system integration, and field operations. Key Responsibilities Technical Support & Troubleshooting • Provide remote and on-site technical support for commissioning, operation, and maintenance of BESS solutions., • Diagnose and resolve system faults related to battery systems, inverters, BMS/EMS, and communication networks., • Work closely with HQ R&D and product teams to escalate and resolve complex technical issues., • Guide customers and service partners through system testing, firmware upgrades, and troubleshooting procedures. Pre-Sales & Solution Support • Support the sales and application engineering teams with technical documentation, system configuration, and project design reviews., • Participate in customer meetings and technical discussions to explain system architecture and product functionalities., • Review project drawings, single-line diagrams, and technical specifications to ensure compliance with standards. Training & Documentation • Conduct technical training for customers, EPCs, and internal service teams., • Prepare and update user manuals, installation guides, FAQs, and troubleshooting checklists., • Maintain accurate service reports, failure analyses, and system performance records. Quality & Feedback • Monitor field performance and provide feedback to product and R&D teams for continuous improvement., • Support warranty claim evaluations and root-cause analysis of returned components., • Contribute to service knowledge base development and standard operating procedures (SOPs) Qualifications and Requirements • Bachelor’s degree or above in Electrical Engineering, Power Systems, Mechatronics, or related field., • Minimum 3 years of experience in technical support, commissioning, or service for BESS, solar, or power systems., • Strong understanding of Li-ion battery technology, inverter operation, communication protocols (Modbus, CAN, TCP/IP), and power electronics., • Hands-on experience with EMS, BMS, SCADA systems, or grid integration is highly desirable., • Ability to read and interpret electrical schematics and control diagrams., • Excellent problem solving, analytical, and customer service skills., • Strong communication skills in English (both written and spoken); additional languages are a plus., • Willingness to travel domestically and internationally for site support and training. What We Offer • Competitive compensation and benefits package., • Opportunity to work with cutting-edge energy storage technologies., • International exposure and cross-functional collaboration., • Professional growth and continuous learning in a fast-evolving clean energy industry.

Technical Lead - Digital & Technology Consulting Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. A leading global innovation and transformation consultancy is looking for an experienced Technical Lead to join its growing technology practice. This role suits someone who enjoys solving complex problems, leading engineering teams, and delivering high-impact digital solutions across diverse industries. What youll be doing as a Technical Lead: • Leading the technical delivery of complex, cloud-based solutions, • Acting as a hands-on technical authority across architecture, development and troubleshooting, • Mentoring engineers and promoting modern engineering best practices, • Working closely with clients to translate business needs into scalable technical solutions, • Proven experience as a Technical Lead or Senior engineer, • Strong software engineering and system design background, • Experience delivering enterprise applications on AWS, Azure or GCP, • Proficiency in JavaScript, Java or .NET, • Agile delivery experience (Scrum / Kanban), • Knowledge of DevOps, CI/CD, infrastructure-as-code and modern testing practices xrnqpay, • Flexible working with autonomy over schedule, • Competitive salary and performance-related bonus, • 25 days annual leave plus buy options, • Excellent pension, healthcare and wellbeing benefits Apply now with your latest CV.

Systems Engineer The Role: As a Systems Engineer, you will have the opportunity to work on a number of our projects helping to deliver solutions to our customers. In this role, you will be able to support technical systems engineering work, enhance your project management skillset and be involved in team leadership of junior engineers if this interests you. You will have opportunities to enhance your skills and capabilities in line with personal and business objectives. Day to day tasking can include: Delivering technical expertise on a variety of customer projects from air to sub-surface Supporting Systems Engineering activity across the design lifecycle Working with multidisciplinary teams Contributing to the development of proposals and statements of work Engaging with a range of internal and external stakeholders Key Skills Required: We are interested in any of the following skills, but they are not essential for you to apply: Requirements Capture, Management and Analysis Model Based Systems Engineering (MBSE) Systems Integration Verification and Validation Understanding of various types of SE documentation Knowledge of supporting toolsets (e.g. DOORs, JAMA, JIRA, Enterprise Architect, Cameo Systems Modeller, Rhapsody, MATLAB, Simulink) Benefits: Annual Company Bonus – Based on company performance 25 Days holiday not including bank holidays with the option to buy/sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care (BUPA) Job well done scheme Employer assistance scheme About Us: Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings. Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance. By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request. TPBN1_UKTJ

About us Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture. About the role We’re looking for an experienced Data Architect to define and implement our group-wide, end-to-end data architecture. This is a critical role aligned with our vision for fully connected automotive dealer platforms. You will be accountable for how data is moved, stored, modelled, governed, and consumed across our products and platforms. This is a hands-on, strategic position, responsible for setting technical direction, making key architectural decisions, unifying multiple data architectures and enabling teams to execute effectively against the long-term vision. Key responsibilities include: Data Architecture and Modelling • Define and own the data architecture across the organisation, ensuring consistency, quality and accessibility of information, • Guide how data should be modelled, • Define standards and blueprints for integration and data architecture Data Platform Strategy • Provide direction to existing teams on infrastructure choices, tooling and architectural patterns, • Define how the data platform fits into wider system architecture (AI/ML, reporting, applications, integrations etc), • Set standards for ingestion, transformation, storage, and serving of data, • Balance short-term delivery with long-term architectural health, • Ensure the platform supports AI/ML readiness Data Governance • Define standards for ownership, contracts, versioning etc., • Embed data quality, lineage, and observability into architectural decisions, • Work with teams to ensure data governance enables speed rather than blocking it, • Data security and compliance frameworks Leadership • Act as the technical authority for the wider data team, reviewing designs and unblocking complex architectural decisions, • Collaborate across multiple different teams and stakeholders to align priorities, • Line management responsibilities may be required We're looking for experience across the following areas: Data architecture • Data platform design, • Data modelling, cataloguing and associated governance, • Data lakes, distributed storage, • Metadata management, • Experience with Snowflake is preferred Cloud & Platform Architecture • Proficient in AWS, but familiarity with Azure/GCP also useful, • Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them), • IaC literacy (ideally Terraform) Architectural Governance • Establishing architectural patterns without slowing down individual teams or reducing autonomy, • Creation of reference architectures for others to adopt and follow In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued. View our candidate privacy policy here - ___

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

On behalf of our client, we are hiring for a Software Engineer (Python). 📍 Relocation to London | 5 days/week in office | Visa sponsorship & relocation package offered The company is building the next generation of customer service through AI Agents. Their agents handle calls, respond to emails and WhatsApp messages, make bookings, process payments, and operate CRM systems in the same way a human would. Founded in June 2023, the company participated in the Y Combinator S23 batch. The founding team spent several months in San Francisco immersed in AI development. Since then, they have achieved ~30% month-on-month revenue growth while rapidly shipping new features. Most recently, they raised a $13M Series A to accelerate their expansion. They are developing AI voice agents designed to help trade businesses operate more efficiently, scale faster, and deliver improved customer experiences. As an early-stage engineer, the successful candidate will play a key role not only in building products, but also in shaping how the company evolves, interacts with customers, and scales. Who You Are • Customer-focused: You prioritise user needs, ask the right questions, and build solutions with impact in mind., • Action-oriented: You move quickly, experiment, and continuously learn., • Ownership mindset: You take responsibility for outcomes and proactively raise standards., • Ambitious and curious: You are excited by new ideas, technologies, and challenges., • Collaborative: You contribute to a positive team environment and support others., • Quality-driven: You care deeply about your work and strive for excellence. What You Bring • Strong software engineering fundamentals, with the ability to design, debug, and deliver reliable systems., • Proficiency in Python or TypeScript, or the ability to quickly learn new technologies., • Experience building and shipping AI-driven products end-to-end (startup, personal projects, open source, or enterprise)., • Comfort working across the stack (frontend, backend, and infrastructure)., • Ability to collaborate with both technical and non-technical stakeholders., • A demonstrated track record of initiative and ownership. Nice to Have • Experience in early-stage startups, particularly within AI, voice platforms, or event-driven systems., • Familiarity with modern cloud infrastructure (e.g., Kubernetes, serverless architectures, distributed systems)., • Strong customer empathy, whether through support, founding experience, or building user-centric products. Perks & Benefits • 💸 Competitive salary and equity, • 📚 Ongoing learning and development in AI, • ✈️ Team socials and annual offsites, • 🏥 Private healthcare

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics, • Own the ML lifecycle from data preparation through training, evaluation, and deployment, • Implement and maintain MLOps workflows for continuous integration and delivery of ML models, • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability, • Contribute to architecture decisions for ML pipelines and data flows, • Apply secure coding and configuration practices in line with compliance standards, • Mentor junior engineers and share best practices across the team, • Support innovation by researching emerging ML techniques and tools Your skillset may include: • ML Development Expertise: Hands-on experience building and deploying ML models, • Lifecycle Ownership: Ability to manage ML workflows from design to production, • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling, • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration, • Governance & Compliance: Familiarity with secure coding and quality assurance standards, • Collaboration & Mentoring: Ability to work across teams and support junior engineers, • Continuous Improvement: Commitment to learning and applying emerging ML techniques If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS product—Spark Travel—at pace. You’ll join a smart, collaborative team that pushes each other to articulate and defend every architectural decision in pursuit of best‑in‑class software. Spark Travel itself is on a mission to drag the tailor‑made travel industry into the 21st century. Our cloud‑native platform unifies sales, supplier contracting, dynamic pricing, and on‑trip operations—everything from the first quote to the traveller’s safe return. The market is huge, the incumbents are slow, and we already have meaningful traction: roughly 35 customers and an accelerating sign‑up pace, a very healthy sales pipeline, and a roadmap brimming with genuinely novel features. With a fantastic existing team across engineering, product, customer success, marketing, and sales, we’re gearing up for hyper‑growth. We’re looking for two down‑to‑earth professional, a conscientious Senior Software Developer, to build on what already works and unlock our next wave of innovation. 🌟 Your Impact • Raise the bar sensibly. Whether you’re refining our Azure architecture as CTO or shipping revenue‑critical features as Senior Dev, you’ll set high standards without reinventing the wheel., • Champion intuitive user experiences. Both roles care deeply about usability, ensuring our platform feels effortless for travel pros and their travellers., • Own the craft. Understand the problem, ship the solution, measure the outcome—and when something’s working, double‑down on it., • Move the needle. Your work will streamline the day‑to‑day of leading tailor‑made tour operators and DMCs—enhancing trip experiences for their travellers as we scale. 🧭 Role Snapshot 2️⃣ Senior Software Developer • Be UK‑based (remote within the UK) with ability to attend occasional team meet‑ups in London (travel expenses covered)., • Design, build, and maintain features across the stack: .NET (C#) based API backends, Angular (TypeScript) based frontends, SQL Server, Cosmos DB., • Own mission‑critical modules such as pricing engines, itinerary or form builders, client proposal app, etc., • Write clean, tested code; automate everything from CI/CD pipelines (Azure DevOps/GitHub Actions) to performance benchmarks., • Investigate and diagnose issues and perform root cause analysis., • Collaborate cross-functionally with Product, Design, and Customer Success., • Propose incremental improvements and occasionally explore new tech (e.g. Azure OpenAI) when it clearly solves a problem. You might be our Senior Dev if… - Hold a 1st-class or 2:1 degree in Computer Science or a closely related discipline. - 4+ years building modern web or data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer • Competitive salary, equity options coming soon, • Remote‑first culture with asynchronous workflows, • Private healthcare, • Employer pension contributions above statutory, • Home‑office setup budget, • Coworking space allowance, • Flexible hours with async core overlap, • Professional‑development budget, • Conference & certification leave, • Choose‑your‑own‑tech toolkit, • Travel‑to‑London expenses for required in‑person meetings, • Collaborative and innovative company culture 📩 How to Apply • Send your CV., • Confirm you are currently living and legally able to work in the UK., • Share one project or decision you’re proud of, why it mattered, and what you learned. Please note: We are only considering UK‑based applicants who fully meet the role criteria. Applications that do not comply will not be considered now or in future hiring rounds. Deadline: 15th March 2026 (rolling review—apply early). Spark Travel is an equal‑opportunity employer and a welcoming neurodiverse team. We celebrate diversity and are committed to creating an inclusive environment for all. We’re not just saying that, we really mean it!

About the job Job summary Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC. Visit our YouTube channel to watch the full series and come and discover your potential. HMRC is transforming the UK's tax system through cutting-edge digital innovation and the Chief Digital and Information Officer (CDIO) Group is at the heart of that mission. We are building high-quality digital services that will enhance the customer experience, enable real-time interactions, and make tax simpler and more intuitive for everyone. By equipping our colleagues with modern tools and technologies, we are also reshaping how we work - allowing HMRC to focus its resources where they can deliver the greatest impact. Chief Engineering & Platform Office (CEPO) - supports the HMRC CDIO group delivering IT projects that enable HMRC's strategy and policies. We design, manage and maintain the IT services that support CDIO platform operations. Our team is made up of specialists in delivery, business analysis, engineering, and live service support. We work closely with stakeholders across HMRC to ensure our IT systems meet their needs. Job description Due to the expansion of the Tax, Benefits, and Enterprise Operations team, the current migration project from SAP ECC to SAP S/4HANA, and the desire to build S/4HANA capability, we are bringing knowledge and expertise on S/4HANA into the team. We are seeking a highly skilled and delivery-focused SAP S/4HANA Technical Expert to support the successful planning, configuration, and execution of the ETMP Regeneration Programme. This is a once-in-a-generation transformation initiative to migrate HMRC's Enterprise Tax Management Platform (ETMP) from SAP ECC6 to S/4HANA. The role is critical to ensuring the technical success of this complex and high-impact programme, which underpins HMRC's core tax accounting and payment capabilities. Person specification Key responsibilities • S/4HANA Migration Execution: Lead and support the development, testing, and deployment of S/4HANA Integrations., • Technical Integration: Act as a bridge between functional requirements and technical implementation, ensuring end-to-end solution integrity across SAP modules and integrations., • Documentation: Oversee, Create and maintain technical specifications, configuration documents, and integration mappings., • Stakeholder Engagement: Collaborate with business users, architects, functional experts and technical teams to translate requirements into system solutions., • Cross-Team Collaboration: Work across internal HMRC teams, systems integrators (SIs), and vendors to ensure cohesive delivery and issue resolution., • Testing and Validation: Support system integration testing (SIT), user acceptance testing (UAT), and cutover planning activities., • S/4HANA Migration Experience: Hands-on experience configuring and supporting one or more S/4HANA migrations, including ECC6 transition planning and execution., • Familiarity with SAP Activate methodology., • SAP Technical Expertise: Deep knowledge of core SAP modules including S/4HANA, BTP, Integration Suite and PI/PO, Work Zone, Build Apps, Fiori, Build Process Automation, and cloud deployment models (e.g., RISE with SAP, SaaS, PaaS)., • Cross-Functional Exposure: Experience working with data, integration, security, and identity management in SAP landscapes., • Delivery Experience: Proven ability to deliver in large-scale, multi-stakeholder transformation programmes., • Communication Skills: Strong ability to communicate technical and functional concepts to diverse audiences, including senior stakeholders., • Industry Specific SAP Knowledge: Relevant to tax, finance, and public sector operations - such as TRM, PSCD, FICA., • Please describe the extent of your SAP S/4HANA experience., • Pension - We make contributions to our colleagues' Alpha pension equal to at least 28.97% of their salary., • Family friendly policies., • Personal support., • A name-blind CV including your job history and qualifications. In the job history section provide details of your current and previous roles including a brief description of the duties. Match this to the relevant Technical Experience and Essential Criteria listed in the job advert., • The successful applicant will need to demonstrate relevant experience and effective delivery of the following essential criteria, as well as their qualifications, • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020

Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries. Were proud to play a part in protecting the worlds democracies. And were committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the worlds aircraft and engine manufacturers and achieved sales of £3.35 2023. There are no limits to where you can take your career. Job Summary Its great to know youre making a difference to the future of aviation! Whatever part you play youll be helping us deliver operational excellence to our customers. The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below. At our GKN Filton site, we specialise in the design and manufacture of large complex structural wing assemblies, detailed metallic componentsand wing systems for a combination of both civil and military aircraft. The successful fabricators will be expected to work with a variety of industry equipment in carrying out various fabrication duties. We're looking for individuals that have knowledge of Pipe Bending, Swaging, Drill/Ream/Countersink in panels and other skills as expected with the role. The role will see candidates working day shifts, on a Monday Thursday basis, there is opportunity to work night shifts once fully trained which incurs an additional 33% shift premium. How You'll Contribute In this role, you will: • Work with various materials (titanium, aluminium, stainless steel) in the manufacture of aircraft parts, across a variety of Airbus family of aircraft, • Ensure parts are produced on a right first time basis, • Be responsible for the timely clearance of work phases using the SAP system, • Be responsible for highlighting any non-conformance to the Process Team Leader, • Adhere to the requirements of the GKNAF Quality Procedures, • Be accountable for Health & Safety requirements under Section 7 of the HASAWA 1974, • Hold first party inspection approval (M02 status is subject to obtaining A stamp approval), • Be responsible for general housekeeping within the area Essential: • A recognised and relevant apprenticeship and relevant NVQ level 3 (Or equivalent), • Previous experience in a manufacturing environment, • Ability to work to standard operating procedures, • Must be able to work in small teams with Team Leaders, • Knowledge of Lean manufacturing principles and techniques to support GKNAF continuous improvement initiatives, • Ability to operate CNC Machinery (Unison Pipe Bending machines, Power Presses, CNC Drilling & routering) ? Starting salary of £35,304 rising to £36,750 once fully certified (after around 3 months) + shift allowance where applicable (up to 33%) + Up to 4% Bonus ? Industry Leading Pension Scheme = well match your contributions up to 8% on a 1 : 1.5 basis (Total contribution up to 20%) ? Life Assurance 8 x salary ? 175 hours annual leave + bank holidays ? Income protection ? Shopping discounts ? Cycle To Work Scheme ? Employee Assistance Programme ? Virtual GP Clinic for you and immediate family ? A collaborative, dynamic working environment As well as a competitive package well offer you a world of opportunity. We want to see your career fly! Well support your career progression by providing you with learning and development opportunities. Thats the beauty of being part of a global business, once youre on board you never know where you career journey may take you! Well offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go? A Great Place to work needs a Great Way of Working Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles weve created a culture where everyone feels welcome to contribute. Its a culture that won us The Best Workplace Culture Award. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work. xrnqpay Were also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know. We arethe place where human dreams, plus humanendeavour, shape the future of aerospace innovation and technology.?

Software Developer - Critical Defence Systems Bristol Based - 4 days a week on site Are you a C++ developer who thrives on solving complex technical challenges? Do you want to work on software that truly matters -systems that sit at the heart of critical defence capability? If so, this is a rare opportunity to join an innovative engineering team working at the cutting edge of systems-level development. The Opportunity You'll contribute across the full software development lifecycle, developing high-integrity, mission-critical systems for the defence sector. This role is ideal for someone who enjoys low-level programming, systems architecture, and building robust software that performs flawlessly in demanding environments. What You'll Be Doing Designing, developing, and maintaining software aligned with defence, industry, and customer standards Implementing high-quality C++ solutions within complex system architectures Testing, validating, and integrating software with wider system components Logging and tracking software issues to support product maturity and stability Participating in technical design, sprint planning, and Agile team routines Engaging with stakeholders to fully understand detailed system requirements Taking ownership of tasks and ensuring accurate progress tracking ?? Key Skills & Experience Essential: Solid commercial experience with C++ Familiarity with systems-level development , or a strong interest in learning it Understanding of OOP principles Practical experience with Git Highly Advantageous: Exposure to VBS , Qt , or graphics engines Experience working with complex simulations Interest in low-level software, system internals, or architecture Personal Attributes We're looking for someone who is: Adaptable and comfortable working in fast-moving environments Capable of managing shifting priorities with composure Analytical, methodical, and motivated to solve problems Reliable, proactive, and always keen to learn Why Join Us? You'll be part of a collaborative, highly skilled defence engineering team where your work directly contributes to national security. Expect a role that is technically fascinating, mission-driven, and full of opportunities to grow your systems-engineering capability. TPBN1_UKTJ

WELCOME TO LINAKER Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. For 30 years Linaker has specialised in the creation and maintenance of tailor-made business environments. Having shaped workspaces for a wide range of businesses across the country, Linakers heritage lies in our ability to design and regulate unique spaces that truly work. xcunqrw Linaker was founded upon three core values: trust, reliability and care. We are not just a service provider,...

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.